You are currently on the new version of our website. Access the old version .
  • Review
  • Open Access

15 December 2023

Using Non-Violent Discipline Tools: Evidence Suggesting the Importance of Attunement

and
Department of Psychology, Faculty of Humanities, University of Cape Town, Cape Town 7700, South Africa
*
Author to whom correspondence should be addressed.
This article belongs to the Special Issue Advances in Attachment Processes in Adolescence and Adulthood: Contexts and Developmental Trajectories at Risk

Abstract

Training in non-violent discipline is important to prevent violence against children and ensure that their caregivers remain a safe base for them. This paper aims to deepen understanding of non-violent discipline by exploring attunement as a mechanism in the effectiveness of non-violent discipline tools. Attunement describes the sensitive responsiveness of caregivers towards their children and has been found to be central to the formation of secure attachment bonds and development of self-regulation. It includes understanding or being “in tune with” the child’s needs and signals, matching these with appropriate responses. The objective of this paper is to explore attunement in relation to non-violent discipline. Peer-reviewed systematic reviews previously included in a systematic overview of evidence on non-violent discipline options were screened for information relevant to attunement. All reviews were published in English between 1999 and 2018 and offered evidence on at least one non-violent discipline tool. Although no reviews explicitly addressed attunement, evidence was found suggesting its importance in the use and effectiveness of discipline methods. Research directly investigating attunement in discipline is needed.

1. Introduction

1.1. Non-Violent Discipline

Coercive and violent approaches to child discipline, such as threats, humiliation and corporal punishment, are not only abusive and damaging in themselves [1,2,3], but have long been known to foster aggression and conduct problems, and predict poorer mental health in adolescence and adulthood [4,5,6,7,8,9,10,11]. On the other hand, permissive parenting has negative effects. When parents do not hold appropriate boundaries, their children tend to show lower self-control, poorer social skills, and aggression, as well as mental health and relational problems reaching into adolescence and adulthood [12,13,14,15]. Caregiver use of effective non-violent discipline methods could, therefore, be expected not only to improve child wellbeing, but also the wellbeing and safety of others as these children reach adolescence and adulthood.
Since the word discipline is often associated or used synonymously with the word punishment, it is important to clarify its use in this paper. Discipline is defined here as constructively addressing a child’s resistance, lack of co-operation or problem behavior, and, also, as teaching and supporting appropriate behavior [16]. This support and guidance offered by adults should promote eventual self-discipline on the part of the child [12,13,17,18,19,20,21,22]. The behaviorist definition of punishment includes any change in the environment which results in a behavior being less likely to be repeated [23]. This definition indicates a partial fit with the goals of discipline; however, in common use, the word punishment often describes inflicting physical or emotional pain on a child as retribution, or to force a certain reaction from them, and may include various forms of abuse [1,2,3]. Therefore, we distinguish discipline from abuse or coercion by describing it as non-violent discipline, rather than punishment.
Discipline tools or options are defined here as discrete, non-violent interventions that can be used to address a child or adolescent’s resistance, lack of co-operation, problem behavior or dysregulation, or to teach and support appropriate behavior [16]. Tools or interventions in this context describe individual practices such as distraction, prompting or time-out, rather than programs. The term caregiver is used to refer to the parent or any others who may be responsible for childcare and, therefore, discipline, for at least part of the day. This paper refers throughout to children and adolescents, but in most cases, the word child is used as shorthand to refer to both.
Training caregivers in non-violent discipline has been identified as an evidence-based approach to achieving the Sustainable Development Goals Target 16.2 of ending violence against children [24]. In addition, effective individual discipline tools could become “behavioral vaccines”, defined by Embry [25] as simple interventions which, if used widely, would substantially improve outcomes for a broad population at low cost and with minimal adverse effects. Embry [25] gives the example of the Good Behavior Game (GBG) [26], a classroom behavior management tool easily implemented by individual teachers. The GBG has been shown not only to be highly effective at reducing aggressive, oppositional and disruptive classroom behavior [27,28,29], but to have long term effects significantly reducing substance abuse, antisocial behavior and mental health problems by adolescence and young adulthood [30,31,32,33].
A wide range of non-violent discipline tools have been found and described [16,34,35]. Examples are improving communication, emotion coaching, adding structure, giving choices, increasing student opportunities to respond, modelling, social stories, goal setting, monitoring, daily behavior report card systems, prompting, praise, reward, group contingencies, time-out, problem-solving together, teaching replacement behaviors, and restorative interventions, which guide perpetrators to apologize and make amends [16,34,35]. Descriptions of a number of these tools can be found in the tables below. While there is a growing wealth of evidence of positive outcomes associated with their use, research on individual discipline options also shows that, like any intervention, they are not equally effective in all situations [16,34]. It is important to understand factors that influence the effectiveness of these tools, especially since caregivers and teachers who try non-violent discipline tools but find them ineffective, may abandon them and return to harsh methods such as corporal punishment. In this paper, we seek to deepen understanding of non-violent discipline by exploring attunement as a mechanism in the effectiveness of non-violent discipline tools.

1.2. Attunement

Attachment theory proposes that secure attachment with a primary caregiver is fundamental to human wellbeing [36,37,38,39]. Insecure or disorganized attachment to parents has been found to be significantly linked to unempathetic, aggressive, violent, and delinquent behavior [40,41,42,43]. It would thus be logical to target attachment in the prevention of problem behavior. It would also be important that discipline does not in any way damage the attachment bond [17], as could happen if harsh methods undermined the child’s sense of safety with their parents.
The term attunement was coined by Mary Ainsworth [36] to describe the parenting behavior she identified as central to the development of secure attachment: sensitive responsiveness [44]. Sensitivity described whether the mother noticed the baby’s signals, including subtle ones. Responsiveness described how her responses fit or matched appropriately with those signals. Attuned responses are “in tune with” [44] (p. 30) the child’s needs and inner state and can take many forms, such as emotional accessibility, physical comfort especially when the child is distressed, appropriate responses to states such as hunger, cold or overstimulation, acceptance and co-operation with the child’s desires and rhythms, and support for exploration. Misattunement could involve the mother being unresponsive, intrusive, or responding in some other way that does not fit with the child’s needs and signals [36,44].
Ainsworth observed that attunement built attachment security [36,37]. Subsequent research has confirmed that well-synchronized mother–infant interactions, in which maternal responses fit with the child’s signals, predict secure attachment [45,46], while regular misattunement can disrupt attachment, leading to various forms of insecure attachment [44,47]. Further, interventions effective in enhancing parental sensitivity have been shown to enhance attachment security [48].
Child self-regulation, which includes self-control and behavioral and emotion regulation, is an important goal and outcome of effective discipline [17]. Development of self-regulation has been found to be critical to success and well-being later in life, while low self-regulation has been significantly linked to violent and delinquent behavior, substance abuse and other negative outcomes such as poor financial management [49,50,51]. Aside from secure attachment, attunement has also been found to be significantly associated with child-self-regulation [52].
Considering the vital role of attunement in the development of self-regulation and secure attachment, and the vital role of each of these in the prevention of violent and delinquent behavior [42,50,51] and in the wellbeing of any person [39,50,51], it makes sense to investigate the idea that, for the best results in discipline (which is also aimed at preventing problem behavior and promoting self-regulation), adults should respond with attunement to the signals sent by the child through their behavior.
Attunement in the context of discipline is defined, in this paper, as the matching or fit of disciplinary responses to the child’s needs and behavioral signals. An attuned response is thus one that fits the child’s signals in a way that best addresses the child’s needs and the function of their behavior. Disciplinary responses that match the child’s signals but do not match the child’s needs would not qualify as attuned; for example, if an adult accurately read behavior as signaling child fear, an attuned response would be reassurance or protection, not to use that fear to control the child. The former is in tune with the child’s needs, while the latter exploits the child’s emotion to serve an adult agenda. Since attunement has two parts: (1) understanding or accurate reading of needs and signals; (2) matching those needs and signals with an appropriate response, as a shorthand, understanding will be used for the first part and matching for the second part.
Not all people responsible for discipline, for example, teachers, are attachment figures for the child, and they do not need to be. Beyond the parent–child relationship, the concept of attunement is also applied in counselling, with good counselor–client attunement predicting better therapeutic outcomes [53,54]. Attunement is considered to be particularly important in interventions for trauma, because focused attunement with another person has been found to shift people out of disorganized and fearful states [55]. Simply put, attunement seems to help people feel safer. This could be important in relation to the question of appropriate discipline for children with trauma histories and symptoms [17].
In classroom management research, a concept arguably synonymous with attunement emerged. Kounin [56] found that a characteristic he termed “withitness” was a better predictor of teacher efficacy than use of any particular discipline or classroom management skill. “Withitness” described the teacher’s constant awareness of what is happening in the classroom, and their ability to read and respond appropriately and promptly to the needs of the students. This definition of “withitness” could just as well be a definition of attunement, describing sensitive responsiveness on the part of the teacher, understanding the needs and signals of the students, and matching these with appropriate responses. Children taught by teachers showing this characteristic perform significantly better academically and behaviorally [56]. The importance of “withitness”, in relation to challenging classroom behavior, adds weight to the idea that attunement would be a logical focus in research on discipline, at school as well as in the home.
To the best of our knowledge, this has not been looked at before in a review. This makes sense when we consider that, although there are some exceptions such as collaborative problem-solving [57,58] and restorative justice interventions (e.g., [59,60]), most discipline tools were developed in the context of behaviorism [23] or applied behavior analysis (ABA) [16,61]. Research in the tradition of behaviorism or ABA only addresses observable behavior [62], not cognition, emotion, relational disconnection and repair, attachment bonds or internalizing behavior. While this exclusive focus on behavior has certainly resulted in more objectivity and scientific validity, it is also limiting, leaving a large gap in the research when it comes to the emotional and relational aspects of discipline.
Since the majority of research available on behavior management tools does not address relationships or attachment, it would be unrealistic to expect to find evidence in reviews of such studies on the effects of attuned discipline on attachment security. It is possible, however, to use a review method to look at whether there is evidence suggesting that attunement, though of course not described using that term, could have an impact on the effectiveness of discipline tools. For example, in ABA, function-based interventions are interventions based on functional behavior assessment (FBA) or functional analysis. These are processes aimed at identifying the function of a problem behavior, i.e., the purpose it serves for the child [63]. Functions include reward (the problem behavior gets the child something they want), escape (the problem behavior gets them out of doing something they do not want to do) or automatic reinforcement (the problem behavior is enjoyable in itself) [63,64]. Once the function of the behavior is determined, an intervention is designed which addresses that function. This process of understanding what is underlying the behavior and then matching the intervention to the underlying need could be seen as a kind of attunement. A relatively consistent finding in reviews and meta-analyses of behavioral interventions is that interventions based on functional assessments are more effective in addressing challenging behavior than those that are not [65,66,67].

2. Method

A systematic overview of evidence on non-violent discipline options was conducted, the results of which have been published in a separate paper [16]. The protocol for this overview was based on the approach taken by the Cochrane Handbook for Systematic Reviews of Interventions [68] and other relevant sources [69,70,71,72], and approved by a review committee in the Department of Psychology at the University of Cape Town [16]. A summary of the method and search process used for the overview can be found in the Supplementary File S1 and a PRISMA flow diagram in Supplementary File S2. Methodological quality was assessed using the AMSTAR checklist. A table showing AMSTAR scores of all reviews relevant to this paper can be found in Supplementary File S3. The overview identified and described available evidence on a large number of non-violent discipline tools, drawing on data from 223 included systematic reviews.
A further goal of the overview was to examine the evidence found in these reviews through the lens of attunement, to see if understanding the child and matching interventions to their needs and signals appeared to play any role in the use and effectiveness of the discipline tools. This is the focus of the current paper. Since attunement is primarily an attachment term, not a term used in behavioral or classroom management literature, it proved unproductive as a search term in relation to discipline tools. Instead, once individual non-violent discipline interventions had been identified from the included systematic reviews, these reviews were also examined for information relating to differential effectiveness of interventions or to the kind of understanding and matching that could be classed as attunement.
Data falling into any of the following 3 categories was considered relevant to this study: outcomes showing differential effectiveness of interventions across different subgroups of children or according to how the tool was used; outcomes of interventions which inherently involve the kind of understanding and matching that could be classed as attunement; and outcomes of tailored interventions, in other words, interventions custom-made to match the needs and signals of specific children. Further detail on these categories is provided in Section 3. Any reviews providing information in these categories were included. Data extracted from them are narratively summarized in the tables below.

3. Results

As expected, none of the reviews examined attunement directly. Out of the 223 systematic reviews screened, 114 were excluded, not offering any data relating to attunement [27,29,30,31,32,33,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180], while 109 were included [28,34,57,59,60,64,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,216,217,218,219,220,221,222,223,224,225,226,227,228,229,230,231,232,233,234,235,236,237,238,239,240,241,242,243,244,245,246,247,248,249,250,251,252,253,254,255,256,257,258,259,260,261,262,263,264,265,266,267,268,269,270,271,272,273,274,275,276,277,278,279,280,281,282,283]. Data relating to attunement in any of the 3 categories described above were extracted from these included reviews. Findings are presented here. Reviews varied widely in quality, as can be seen by their AMSTAR scores in the Supplementary File S3.

3.1. Aspects of Attunement Highlighted by Differential Effectiveness of Interventions

Rather than thinking of a discipline tool as effective or ineffective in itself, or of one tool as generally better than another, differential effectiveness of an intervention across subgroups of children raises questions about whether that tool, or whether the way it was used, matched with the needs of the children it was used for [284,285]. Therefore, evidence that interventions work better for some than for others, or work better used in a certain way, can indicate areas in which attunement is needed. A number of reviews showed such evidence, highlighting several important aspects of attunement, such as appropriate match of intervention with child needs and abilities, developmental level or function of behavior. Table 1 summarizes this evidence. These examples illustrate that behavioral interventions can be very helpful for some children, but not very effective for others, depending on the child’s particular needs and abilities. This suggests that these tools should not be considered effective or good in themselves, but rather according to their fit with the needs of the child.
Table 1. Aspects of attunement highlighted by differential effectiveness of interventions.

3.2. Outcomes of Interventions Which Inherently Involve the Kind of Understanding and Matching That Could Be Classed as Attunement

In contrast to the misattunement of harsh, coercive and punitive approaches to discipline, a number of non-violent discipline tools inherently involve some level of attunement. In order to use these tools, understanding of the child is necessary, as they need to be matched to the child’s area of difficulty, level of ability and their usual responses. For example, using behavioral momentum requires knowledge (understanding) of which tasks are easier for, or preferred by, the child, so that requests can be sequenced accordingly (matching). Any individualized intervention, for example, a social narrative, also requires a process of understanding and matching, because the intervention is tailored to match the needs and behavior of a specific child. The same can be said for any function-based interventions such as functional communication training, as these are designed to match the function challenging behavior usually serves for a specific child (e.g., attention or escape). Thus, a number of evidence-supported interventions inherently involve the kind of understanding and matching that could be classed as attunement. Table 2 describes these interventions, shows how they involve understanding and matching, and summarizes their outcomes. Since understanding and matching are integrally involved in the use of all of these interventions, it could be argued that their use demonstrates caregiver attunement. The positive outcomes found for them would, therefore, also suggest positive outcomes for attunement in discipline.
Table 2. Interventions which inherently involve the kind of understanding and matching that could be classed as attunement.

3.3. Outcomes of Tailored Interventions

Rather than being used in much the same way with any child, tailored interventions are interventions which are custom-made to match the needs and signals of specific children. While it is possible that a general intervention could match a particular child’s needs, a tailored or individualized intervention is specifically designed to do so. Function-based interventions are one example of this. As already mentioned, previous research has shown that function-based interventions are more likely to be effective in addressing challenging behavior than interventions that are not function-based [65,66,67]. This was confirmed in the current research, with findings from a number of included reviews providing evidence that function-based interventions and other forms of tailoring are associated with greater intervention effectiveness and other positive results. Table 3 summarizes this evidence. The superior outcomes of tailored interventions suggest the importance of attunement in the effectiveness of behavioral interventions.
Table 3. Outcomes of tailored interventions.

3.4. Interventions Not Showing Evidence Related to Attunement

Despite the fact that none of the included reviews specifically addressed attunement, some evidence was found relating to attunement in reviews on most of the discipline tools, as seen in the tables above. There were a few tools, however, for which reviewed evidence did not show evidence relating to attunement. These included certain aspects of structure, such as rules and policies, modelling, preparation, reprimands, and goal setting. One review on goal setting [189] mentioned that around half of the studies used individualized goals but none compared the effects of individualized goals versus generalized goals. This example illustrates the possibility that these few exceptions exist only because the reviews were not focused on attunement and, therefore, did not seek or present evidence that could have related to attunement. It is very possible that evidence would be found for attunement in the use of each of these interventions if it were sought.

3.5. Interventions Likely to Improve Attunement

A number of tools show potential to improve attunement. Anything that involves observation, monitoring, listening to a child, or anything that involves effort to increase knowledge and understanding of the child, could improve attunement if the adult is able to use their increased understanding to respond appropriately to the child’s needs. For example, attunement to the child could improve with good parent–child communication. The same could be said for interventions such as parental monitoring, playground supervision, use of a daily report card, or increased teacher-directed opportunities to respond (OTR), problem-solving together or restorative justice interventions. Each of these interventions could increase adult awareness and understanding of the child. There are also interventions which would improve adult understanding of the child by improving the child’s ability to send appropriate and readable signals, such as augmentative and alternative communication (AAC), functional communication training (FCT) and picture exchange communication system (PECS). Adults who understand children better should be better able to match their responses to child needs.

4. Discussion

The above results highlight important aspects of attunement which could influence the effectiveness of disciplinary interventions. They show positive outcomes of a number of tools which inherently involve attunement, and superior outcomes associated with understanding and matching child needs through tailored as opposed to general interventions. Taken together, these results support the idea that attunement in discipline should be further investigated.
It is possible that a toolkit of discipline options would be useful in scaffolding child development to the extent that caregivers are able to use those tools with attunement. From this perspective, individual tools such as reward, time-out or active listening would not be considered to be good skills in themselves but would only be good if they matched the needs and signals of the child at the time they were used. For instance, time-out could be a good skill to address aggression or non-compliance on the part of the child [197,219,230,241,251], but a bad skill to use if the child is experiencing fear or panic and actually needs reassurance or comfort [17,44]. Active listening may be a good skill to use if a child seems upset [288] but would not be the first choice if the child is unsafe, for example, if they are upset because the parent wants them to climb down from the 7th floor balcony railing, or stop running towards the middle of a busy road. Manual restraint in the form of taking the child off the railing or holding their hand at the roadside could be appropriate in the latter two cases, while there are plenty of other situations in which restraint is not called for and would be intrusive [289].
Beyond which skill to use, the above evidence (especially that presented in Table 1) suggests other important areas of attunement, such as whether intervention is necessary and constructive at all [202], whether it is appropriate [222,275], whether it is having the desired effect [251], and how much of an intervention is constructive. Regarding the latter point: at what point is a larger or longer dose of a particular skill unnecessary [197,225], at what point does a bigger dose undermine effects [252] or have negative effects [282]?
For readers interested in more detail on what attuned discipline would look like in practice, further explanation and application through real examples can be found in the Supplementary File S4. Three important areas are highlighted: understanding when and where a child needs behavioral support; choosing tools that would best fit the situation and needs of the child; and understanding when to stop intervening or to fade support.
An obvious limitation of this research is that attunement was not directly examined in any of the included reviews; however, it is hoped that highlighting this important area will attract research to it in future. To conduct research directly examining attunement in discipline, assessment tools will need to be developed and validated. The Dyadic Attunement Observation Schedule (DAOS) [290] is an observational measure currently used to score parent–child dyads videotaped during play interactions. A similar tool could be developed to generate attunement scores for adult–child dyads videotaped during disciplinary interactions. The Patient’s Experience of Attunement and Responsiveness (PEAR) Scale [54] is a self-report measure used immediately after a therapy session to assess the client’s experience of therapist attunement in that session. A similar tool could be developed for use after behavioral interventions to assess a child’s experience of adult attunement during the intervention. Scores could then be correlated with social and behavioral outcomes to show any moderating effects of attunement.
Observation suggests that securely attached children can become less secure and insecurely attached children more secure over time [37,38]. Future studies should examine the role of discipline, and especially attuned discipline, in these changes. The importance of discipline to attachment security is suggested by the fact that interventions such as Parent Child Interaction Therapy, which aim, and have been shown, to improve parent–child attunement and attachment, also rely on behavioral skills, coaching parents in the use of skills such as praise and time-out [44,291]. Also, parents who can rely on effective non-violent discipline tools may be less likely to become angry and frustrated to the point of using coercive and aggressive strategies which could undermine the child’s sense of safety with them [17].
Since attunement builds attachment security, it would be logical to predict that attuned or misattuned discipline would have implications for attachment security. One reason more research is needed on this, is that caregivers aware of the importance of attachment may unnecessarily avoid using certain non-violent discipline tools, as has been the case with time-out [17,197,292]. A reasonable hypothesis would be that attunement or misattunement in discipline would be more likely to impact attachment security than the use of any particular discipline tool. Research with a specific focus on this would not only deepen knowledge of attachment development processes, but also address concerns that may otherwise rob the toolkit of important and effective discipline options. See Supplementary File S4 for a more detailed discussion of misinformation and controversies surrounding certain tools [17,192,197,202,292,293,294,295,296,297,298].
Lastly, non-violent discipline tools have been shown to have important benefits beyond prevention of violence against children [16]. The fact that many of them inherently involve or have the potential to improve attunement adds to these benefits.

5. Conclusions

A large range of evidence-supported non-violent discipline options for caregivers and teachers have been found and described, with outcomes not only showing effectiveness for challenging behavior, but many other benefits for child development [16]. This paper explored the potential role of attunement in the use of these discipline tools. Although none of the included reviews explicitly addressed attunement, evidence was found suggesting its importance in both the use and effectiveness of the reviewed interventions, highlighting the need for research directly investigating this.
Attunement may be a better predictor of efficacy and social validity in discipline than use of any particular discipline tool, and measures need to be developed and validated to explore it further. This is a new frontier in behavioral research that could change the way discipline is approached. Rather than a “one tool fits all” approach, information made available on discipline tools could be accompanied by information explaining the need for attunement in their use. Caregivers and teachers could employ a model of “attunement plus options”, in which interventions are not considered good or bad in themselves, but rather evaluated according to their fit with the situation at hand, and the needs and signals of the child.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/ijerph20247187/s1. File S1: Summary of method and search strategy; File S2: PRISMA flow diagram; File S3: AMSTAR checklist and scores; File S4: Attuned discipline in practice.

Author Contributions

Conceptualization, K.R.Q.; methodology, K.R.Q. and C.L.W.; investigation, K.R.Q.; data curation, K.R.Q.; writing—original draft preparation, K.R.Q.; writing—review and editing, K.R.Q. and C.L.W.; visualization, K.R.Q.; supervision, C.L.W.; project administration, K.R.Q. and C.L.W.; All authors have read and agreed to the published version of the manuscript.

Funding

This research was supported by grants to the second author, from the National Research Foundation—Grant no. 109479, and the University of Cape Town Research Committee. Opinions expressed are those of the authors and not of the National Research Foundation or University Research Committee.

Institutional Review Board Statement

The protocol for this overview was approved by a review committee in the Department of Psychology, University of Cape Town. Ethics approval was not required, as overviews do not directly involve any participants.

Acknowledgments

Thanks to the three research assistants, who worked alongside the first author at different times during screening and data extraction. They are Ayabonga Timakwe, Tamsyn Naylor and Stijn de Leeuw. Thanks to Mikha Davids for technical support and help designing figures. Thanks to the peer reviewers for insightful feedback and constructive suggestions to improve this paper.

Conflicts of Interest

There are no conflict of interest for either the author or for the research assistants. The first author runs workshops on non-violent discipline interventions. Workshop materials were adjusted based on the evidence found here, and not the other way around.

References

  1. Durrant, J.E.; Ensom, R. Twenty-Five Years of Physical Punishment Research: What Have We Learned? J. Korean Acad. Child Adolesc. Psych. 2017, 28, 20–24. [Google Scholar] [CrossRef]
  2. Mbugua, S.; Muriithi, M.; Muthui, I.; Ogeda, J. Opportunities for Strengthening Families through Positive Discipline: Knowledge, Attitudes and Practices (KAP) Study. A Multi Country Research on Positive Discipline and Skillful Parenting in Kenya, Uganda, Ethiopia and Rwanda; Parenting in Africa Network (PAN): Nairobi, Kenya, 2015; ISBN 978-9966-1786-3-3. [Google Scholar]
  3. UNICEF. A Familiar Face: Violence in the Lives of Children and Adolescents; United Nations Children’s Fund: New York, NY, USA, 2017; Available online: https://data.unicef.org/resources/a-familiar-face/ (accessed on 17 November 2017).
  4. Gershoff, E.T. Corporal punishment by parents and associated child behaviors and experiences: A meta-analytic and theoretical review. Psychol. Bull. 2002, 128, 539–579. [Google Scholar] [CrossRef] [PubMed]
  5. Gershoff, E.T. Spanking and child development: We know enough now to stop hitting our children. Child Dev. Perspect. 2013, 7, 133–137. [Google Scholar] [CrossRef]
  6. Gershoff, E.T.; Sattler, K.M.; Ansari, A. Strengthening causal estimates for links between spanking and children’s externalizing behavior problems. Psychol. Sci. 2017, 29, 110–120. [Google Scholar] [CrossRef] [PubMed]
  7. Lambert, H.K.; Meza, R.; Martin, P.; Fearey, E.; McLaughlin, K.A. Childhood trauma as a public health issue. In Evidence-Based Treatments for Trauma Related Disorders in Children and Adolescents; Springer: Cham, Switzerland, 2017; pp. 49–66. [Google Scholar] [CrossRef]
  8. Patterson, G.R. The aggressive child: Victim and architect of a coercive system. Behav. Modif. Fam. 1976, 1, 267–316. [Google Scholar]
  9. Patterson, G.R. Coercive Family Process; Castalia: Eugene, OR, USA, 1982. [Google Scholar]
  10. Patterson, G.R.; Dishion, T.J. Contributions of families and peers to delinquency. Criminology 1985, 23, 63–79. [Google Scholar] [CrossRef]
  11. Streeck-Fischer, A.; van der Kolk, B.A. Down will come baby, cradle and all: Diagnostic and therapeutic implications of chronic trauma on child development. Aust. N. Z. J. Psych. 2000, 34, 903–918. [Google Scholar] [CrossRef]
  12. Baumrind, D. Effects of authoritative parental control on child behavior. Child Dev. 1966, 37, 887–907. [Google Scholar] [CrossRef]
  13. Baumrind, D. Child care practices anteceding three patterns of preschool behavior. Genet. Psychol. Monogr. 1967, 75, 43–88. Available online: https://psycnet.apa.org/record/1967-05780-001 (accessed on 2 November 2017).
  14. Barton, A.L.; Hirsch, J.K. Permissive parenting and mental health in college students: Mediating effects of academic entitlement. J. Am. Coll. Health 2016, 64, 1–8. [Google Scholar] [CrossRef]
  15. Topham, G.L.; Larson, J.H.; Holman, T.B. Family-of-origin predictors of hostile conflict in early marriage. Contemp. Fam. Ther. 2005, 27, 101–121. [Google Scholar] [CrossRef]
  16. Quail, K.R.; Ward, C.L. Nonviolent discipline options for caregivers and teachers: A systematic overview of the evidence. Trauma Violence Abus. 2022, 23, 620–638. [Google Scholar] [CrossRef] [PubMed]
  17. Dadds, M.R.; Tully, L.A. What is it to discipline a child: What should it be? A reanalysis of time-out from the perspective of child mental health, attachment, and trauma. Am. Psychol. 2019, 74, 794. [Google Scholar] [CrossRef]
  18. Baumrind, D. Authoritative parenting revisited: History and current status. In Authoritative Parenting: Synthesizing Nurturance and Discipline for Optimal Child Development; Larzelere, R.E., Morris, A.S., Harrist, A.W., Eds.; American Psychological Association: Washington, DC, USA, 2013; pp. 11–34. [Google Scholar]
  19. Vygotsky, L. Interaction between learning and development. Read. Dev. Child. 1978, 23, 34–41. [Google Scholar]
  20. Berk, L.E.; Winsler, A. Scaffolding children’s learning: Vygotsky and early childhood education. In NAEYC Research into Practice Series; National Association for the Education of Young Children: Washington, DC, USA, 1995; Volume 7, pp. 1–182. Available online: https://eric.ed.gov/?id=ed384443 (accessed on 14 October 2017).
  21. Li, J.; Julian, M.M. Developmental relationships as the active ingredient: A unifying working hypothesis of “what works” across intervention settings. Am. J. Orthopsychiatry 2012, 82, 157–166. [Google Scholar] [CrossRef] [PubMed]
  22. Carlson, J.; Mayer, G.R. Fading: A behavioral procedure to increase independent behavior. Sch. Couns. 1971, 18, 193–197. Available online: https://www.jstor.org/stable/23896513 (accessed on 11 January 2020).
  23. Skinner, B.F. Science and Human Behavior; Simon and Schuster: New York, NY, USA, 1965; ISBN 9780029290408. [Google Scholar]
  24. Butchart, A.; Hillis, S. INSPIRE: Seven Strategies for Ending Violence against Children; World Health Organization: Phnom Penh, Cambodia, 2016; Available online: https://www.who.int/publications/i/item/inspire-seven-strategies-for-ending-violence-against-children (accessed on 1 April 2021).
  25. Embry, D.D. The Good Behavior Game: A best practice candidate as a universal behavioral vaccine. Clin. Child Fam. Psychol. Rev. 2002, 5, 273–297. [Google Scholar] [CrossRef]
  26. Barrish, H.H.; Saunders, M.; Wolf, M.M. Good behavior game: Effects of individual contingencies for group consequences on disruptive behavior in a classroom 1. J. Appl. Behav. Anal. 1969, 2, 119–124. [Google Scholar] [CrossRef]
  27. Bowman-Perrott, L.; Burke, M.D.; Zaini, S.; Zhang, N.; Vannest, K. Promoting positive behavior using the good behavior game. J. Posit. Behav. Interv. 2016, 18, 180–190. [Google Scholar] [CrossRef]
  28. Flower, A.; McKenna, J.W.; Bunuan, R.L.; Muething, C.S.; Vega, R., Jr. Effects of the good behavior game on challenging behaviors in school settings. Rev. Educ. Res. 2014, 84, 546–571. [Google Scholar] [CrossRef]
  29. Bayer, J.; Hiscock, H.; Scalzo, K.; Mathers, M.; McDonald, M.; Morris, A.; Wake, M. Systematic review of preventive interventions for children’s mental health: What would work in Australian contexts? Aust. N. Z. J. Psychiatry 2009, 43, 695–710. [Google Scholar] [CrossRef] [PubMed]
  30. Foxcroft, D.R.; Tsertsvadze, A. Universal school-based prevention programs for alcohol misuse in young people. Cochrane Database Syst. Rev. 2011, 5, 1–121. [Google Scholar] [CrossRef] [PubMed]
  31. MacArthur, G.; Caldwell, D.M.; Redmore, J.; Watkins, S.H.; Kipping, R.; White, J.; Chittleborough, C.; Langford, R.; Er, V.; Lingam, R.; et al. Individual-, family-, and school-level interventions targeting multiple risk behaviors in young people. Cochrane Database Syst. Rev. 2018, 10, 1–374. [Google Scholar]
  32. Smedler, A.; Hjern, A.; Wiklund, S.; Anttila, S.; Pettersson, A. Programs for prevention of externalizing problems in children: Limited evidence for effect beyond 6 months post intervention. Child Youth Care Forum 2015, 44, 251–276. [Google Scholar] [CrossRef]
  33. Waddell, C.; Schwartz, C.; Andres, C.; Barican, J.L.; Yung, D. Fifty years of preventing and treating childhood behavior disorders: A systematic review to inform policy and practice. Evid. Based Ment. Health 2018, 21, 45–52. [Google Scholar] [CrossRef]
  34. Wong, C.; Odom, S.L.; Hume, K.A.; Cox, A.W.; Fettig, A.; Kucharczyk, S.; Schultz, T.R. Evidence-based practices for children, youth, and young adults with autism spectrum disorder: A comprehensive review. J. Autism Dev. Disord. 2015, 45, 1951–1966. [Google Scholar] [CrossRef]
  35. Embry, D.D.; Biglan, A. Evidence-based kernels: Fundamental units of behavioral influence. Clin. Child Fam. Psychol. Rev. 2008, 11, 75–113. [Google Scholar] [CrossRef]
  36. Ainsworth, M.; Blehar, M.; Waters, E.; Wall, S. Patterns of attachment: A psychological study of the strange situation. Child Dev. 1978, 41, 49–67. [Google Scholar] [CrossRef]
  37. Ainsworth, M.D. Infancy in Uganda: Infant Care and the Growth of Love; Johns Hopkins Press: Baltimore, MD, USA, 1967. [Google Scholar] [CrossRef]
  38. Bowlby, J. Attachment and Loss; Basic Books: New York, NY, USA, 1973; Volume 1. [Google Scholar]
  39. Karen, R. Becoming Attached: First Relationships and How They Shape our Capacity to Love; Oxford University Press: New York, NY, USA, 1994; ISBN 978-0-19-511501-7. [Google Scholar]
  40. Bowlby, J. Forty-four juvenile thieves: Their characters and home life. Int. J. Psycho-Anal. 1944, 25, 107–127. [Google Scholar]
  41. Fearon, R.P.; Bakermans-Kranenburg, M.J.; Van IJzendoorn, M.H.; Lapsley, A.M.; Roisman, G.I. The significance of insecure attachment and disorganization in the development of children’s externalizing behavior: A meta-analytic study. Child Dev. 2010, 81, 435–456. [Google Scholar] [CrossRef]
  42. Hoeve, M.; Stams, G.J.J.; Van der Put, C.E.; Dubas, J.S.; Van der Laan, P.H.; Gerris, J.R. A meta-analysis of attachment to parents and delinquency. J. Abnorm. Child Psychol. 2012, 40, 771–785. [Google Scholar] [CrossRef] [PubMed]
  43. Savage, J. The association between attachment, parental bonds and physically aggressive and violent behavior: A comprehensive review. Aggress. Violent Behav. 2014, 19, 164–178. [Google Scholar] [CrossRef]
  44. Troutman, B. Integrating Behaviorism and Attachment Theory in Parent Coaching; Springer: Berlin/Heidelberg, Germany, 2015. [Google Scholar] [CrossRef]
  45. Isabella, R.A.; Belsky, J. Interactional synchrony and the origins of infant-mother attachment: A replication study. Child Dev. 1991, 62, 373–384. [Google Scholar] [CrossRef] [PubMed]
  46. Isabella, R.A.; Belsky, J.; von Eye, A. Origins of infant-mother attachment: An examination of interactional synchrony during the infant’s first year. Dev. Psychol. 1989, 25, 12. [Google Scholar] [CrossRef]
  47. Beebe, B.; Jaffe, J.; Markese, S.; Buck, K.; Chen, H.; Cohen, P.; Feldstein, S. The origins of 12-month attachment: A microanalysis of 4-month mother–infant interaction. Attach. Hum. Dev. 2010, 12, 3–141. [Google Scholar] [CrossRef]
  48. Bakermans-Kranenburg, M.J.; Van Ijzendoorn, M.H.; Juffer, F. Less is more: Meta-analyses of sensitivity and attachment interventions in early childhood. Psychol. Bull. 2003, 129, 195. [Google Scholar] [CrossRef] [PubMed]
  49. Aldao, A.; Nolen-Hoeksema, S.; Schweizer, S. Emotion-regulation strategies across psychopathology: A meta-analytic review. Clin. Psychol. Rev. 2010, 30, 217–237. [Google Scholar] [CrossRef]
  50. Fergusson, D.M.; Boden, J.M.; Horwood, L.J. Childhood self-control and adult outcomes: Results from a 30-year longitudinal study. J. Am. Acad. Child Adolesc. Psychiatry 2013, 52, 709–717. [Google Scholar] [CrossRef]
  51. Moffitt, T.E.; Arseneault, L.; Belsky, D.; Dickson, N.; Hancox, R.J.; Harrington, H.; Ross, S. A gradient of childhood self-control predicts health, wealth, and public safety. Proc. Natl. Acad. Sci. USA 2011, 108, 2693–2698. [Google Scholar] [CrossRef]
  52. Davis, M.; Bilms, J.; Suveg, C. In sync and in control: A meta-analysis of parent-child positive behavioral synchrony and youth self-regulation. Fam. Process 2017, 56, 962–980. [Google Scholar] [CrossRef]
  53. Rocco, D.; Gennaro, A.; Salvatore, S.; Stoycheva, V.; Bucci, W. Clinical mutual attunement and the development of therapeutic process: A preliminary study. J. Constr. Psychol. 2017, 30, 371–387. [Google Scholar] [CrossRef]
  54. Snyder, J.; Silberschatz, G. The patient’s experience of attunement and responsiveness scale. Psychother. Res. 2017, 27, 608–619. [Google Scholar] [CrossRef] [PubMed]
  55. Van der Kolk, B. The Body Keeps the Score: Mind, Brain and Body in the Transformation of Trauma; Penguin Random House: London, UK, 2014; ISBN 978-0-670-78593-3. [Google Scholar]
  56. Kounin, J.S. Discipline and Group Management in Classrooms; Holt Rinehart and Winston: New York, NY, USA, 1970; ISBN 978-0030782107. [Google Scholar]
  57. Pollastri, A.R.; Epstein, L.D.; Heath, G.H.; Ablon, J.S. The Collaborative Problem Solving approach: Outcomes across settings. Harv. Rev. Psychiatry 2013, 21, 188–199. [Google Scholar] [PubMed]
  58. Greene, R.W.; Ablon, J.S. Treating Explosive Kids: The Collaborative Problem-Solving Approach; Guilford Press: New York, NY, USA, 2005; ISBN-10: 1593852037. [Google Scholar]
  59. Strang, H.; Sherman, L.W.; Mayo-Wilson, E.; Woods, D.; Ariel, B. Restorative justice conferencing (RJC) using face-to-face meetings of offenders and victims: Effects on offender recidivism and victim satisfaction. A systematic review. Campbell Syst. Rev. 2013, 9, 1–59. [Google Scholar] [CrossRef]
  60. Wong, J.S.; Bouchard, J.; Gravel, J.; Bouchard, M.; Morselli, C. Can at-risk youth be diverted from crime? A meta-analysis of restorative diversion programs. Crim. Justice Behav. 2016, 43, 1310–1329. [Google Scholar] [CrossRef]
  61. Baer, D.M.; Wolf, M.M.; Risley, T.R. Some current dimensions of applied behavior analysis 1. J. Appl. Behav. Anal. 1968, 1, 91–97. [Google Scholar] [CrossRef] [PubMed]
  62. Boutot, E.A.; Hume, K. Beyond time out and table time: Today’s applied behavior analysis for students with autism. Educ. Train. Autism Dev. Disabil. 2012, 47, 23–38. Available online: http://www.jstor.org/stable/23880559 (accessed on 28 October 2017).
  63. Horner, R.H.; Carr, E.G. Behavioral support for students with severe disabilities: Functional assessment and comprehensive intervention. J. Spec. Educ. 1997, 31, 84–104. [Google Scholar] [CrossRef]
  64. McKenna, J.W.; Flower, A.; Adamson, R. A systematic review of function-based replacement behavior interventions for students with and at risk for emotional and behavioral disorders. Behav. Modif. 2016, 40, 678–712. [Google Scholar] [CrossRef]
  65. Didden, R.; Korzilius, H.; van Oorsouw, W.; Sturmey, P. Behavioral treatment of challenging behaviors in individuals with mild mental retardation: Meta-analysis of single-subject research. Am. J. Ment. Retard. 2006, 111, 290–298. [Google Scholar] [CrossRef] [PubMed]
  66. Harvey, S.T.; Boer, D.; Meyer, L.H.; Evans, I.M. Updating a meta-analysis of intervention research with challenging behavior: Treatment validity and standards of practice. J. Intellect. Dev. Disabil. 2009, 34, 67–80. [Google Scholar] [CrossRef] [PubMed]
  67. Horner, R.H.; Carr, E.G.; Strain, P.S.; Todd, A.W.; Reed, H.K. Problem behavior interventions for young children with autism: A research synthesis. J. Autism Dev. Disord. 2002, 32, 423–446. [Google Scholar] [CrossRef] [PubMed]
  68. Becker, L.A.; Oxman, A.D. Overviews of reviews. In Cochrane Handbook for Systematic Reviews of Interventions; Higgins, J.P.T., Green, S., Eds.; Cochrane Book Series; John Wiley & Sons, Ltd.: Chichester, UK, 2008; pp. 607–631. [Google Scholar]
  69. Pollock, M.; Fernandes, R.M.; Becker, L.A.; Featherstone, R.; Hartling, L. What guidance is available for researchers conducting overviews of reviews of healthcare interventions? A scoping review and qualitative metasummary. Syst. Rev. 2016, 5, 190–204. [Google Scholar] [CrossRef]
  70. Pollock, M.; Fernandes, R.M.; Hartling, L. Evaluation of AMSTAR to assess the methodological quality of systematic reviews in overviews of reviews of healthcare interventions. BMC Med. Res. Methodol. 2017, 17, 48–60. [Google Scholar] [CrossRef]
  71. Thomson, D.; Foisy, M.; Hartling, L. (Producer). Overviews of Reviews [Recording of Cochrane Canada Webinar]. 2013. Available online: https://training.cochrane.org/resource/overviews-reviews (accessed on 1 February 2018).
  72. Wright, J.; Walwyn, R. Literature Search Methods for an Overview of Reviews. (‘Umbrella’ Reviews or ‘Review of Reviews’). Powerpoint Slides. 2016. Available online: https://information-specialists.leeds.ac.uk/wp-content/uploads/sites/71/2019/03/Literature_search_methods_for_an_overview_of_reviews.pdf (accessed on 1 February 2018).
  73. Alter, P.; Haydon, T. Characteristics of effective classroom rules: A review of the literature. Teach. Educ. Spec. Educ. 2017, 40, 114–127. [Google Scholar] [CrossRef]
  74. Aveyard, P.; Markham, W.A.; Cheng, K. A methodological and substantive review of the evidence that schools cause pupils to smoke. Soc. Sci. Med. 2004, 58, 2253–2265. [Google Scholar] [CrossRef]
  75. Azeredo, C.M.; Rinaldi, A.E.M.; de Moraes, C.L.; Levy, R.B.; Menezes, P.R. School bullying: A systematic review of contextual-level risk factors in observational studies. Aggress. Violent Behav. 2015, 22, 65–76. [Google Scholar] [CrossRef]
  76. Bice, A.A.; Wyatt, T.H. Holistic comfort interventions for pediatric nursing procedures: A systematic review. J. Holist. Nurs. 2017, 35, 280–295. [Google Scholar] [CrossRef]
  77. Birnie, K.A.; Noel, M.; Chambers, C.T.; Uman, L.S.; Parker, J.A. Psychological interventions for needle-related procedural pain and distress in children and adolescents. Cochrane Database Syst. Rev. 2018, 10, 1–135. [Google Scholar] [CrossRef]
  78. Black, W.W.; Fedewa, A.L.; Gonzalez, K.A. Effects of ‘safe school’ programs and policies on the social climate for sexual-minority youth: A review of the literature. J. LGBT Youth 2012, 9, 321–339. [Google Scholar] [CrossRef]
  79. Borrie, F.R.P.; Bearn, D.R.; Innes, N.P.T.; Iheozor-Ejiofor, Z. Interventions for the cessation of non-nutritive sucking habits in children. Cochrane Database Syst. Rev. 2015, 3, 1–51. [Google Scholar]
  80. Bowman-Perrott, L.; Burke, M.D.; de Marin, S.; Zhang, N.; Davis, H. A meta-analysis of single-case research on behavior contracts: Effects on behavioral and academic outcomes among children and youth. Behav. Modif. 2015, 39, 247–269. [Google Scholar] [CrossRef] [PubMed]
  81. Briesch, A.M.; Chafouleas, S.M. Review and analysis of literature on self-management interventions to promote appropriate classroom behaviors (1988–2008). Sch. Psychol. Q. 2009, 24, 106–118. [Google Scholar] [CrossRef]
  82. Busacca, M.L.; Anderson, A.; Moore, D.W. Self-management for primary school students demonstrating problem behavior in regular classrooms: Evidence review of single-case design research. J. Behav. Educ. 2015, 24, 373–401. [Google Scholar] [CrossRef]
  83. Cannella, H.I.; O’Reilly, M.F.; Lancioni, G.E. Choice and preference assessment research with people with severe to profound developmental disabilities: A review of the literature. Res. Dev. Disabil. 2005, 26, 1–15. [Google Scholar] [CrossRef] [PubMed]
  84. Carr, M.E. Self-management of challenging behaviours associated with autism spectrum disorder: A meta-analysis. Aust. Psychol. 2016, 51, 316–333. [Google Scholar] [CrossRef]
  85. Carr, M.E.; Moore, D.W.; Anderson, A. Self-management interventions on students with autism: A meta-analysis of single-subject research. Except. Child. 2014, 81, 28–44. [Google Scholar] [CrossRef]
  86. Chorney, J.M.; Twycross, A.; Mifflin, K.; Archibald, K. Can we improve parents’ management of their children’s postoperative pain at home? Pain Res. Manag. 2014, 19, e115–e123. [Google Scholar] [CrossRef]
  87. Collier, K.M.; Coyne, S.M.; Rasmussen, E.E.; Hawkins, A.J.; Padilla-Walker, L.M.; Erickson, S.E.; Memmott-Elison, M.K. Does parental mediation of media influence child outcomes? A meta-analysis on media time, aggression, substance use, and sexual behavior. Dev. Psychol. 2016, 52, 798–812. [Google Scholar] [CrossRef]
  88. Common, E.A.; Lane, K.L.; Cantwell, E.D.; Brunsting, N.C.; Oakes, W.P.; Germer, K.A.; Bross, L.A. Teacher-delivered strategies to increase students’ opportunities to respond: A systematic methodological review. Behav. Dis. 2020, 5, 67–84. [Google Scholar] [CrossRef]
  89. Cook, L.T.; O’Reilly, G.A.; DeRosa, C.J.; Rohrbach, L.A.; Spruijt-Metz, D. Association between home availability and vegetable consumption in youth: A review. Public Health Nutr. 2015, 18, 640–648. [Google Scholar] [CrossRef] [PubMed]
  90. Corepal, R.; Tully, M.A.; Kee, F.; Miller, S.J.; Hunter, R.F. Behavioural incentive interventions for health behaviour change in young people (5–18 years old): A systematic review and meta-analysis. Prev. Med. Int. J. Devoted Pract. Theory 2018, 110, 55–66. [Google Scholar] [CrossRef] [PubMed]
  91. Darling, K.E.; Sato, A.F. Systematic review and meta-analysis examining the effectiveness of mobile health technologies in using self-monitoring for pediatric weight management. Child. Obes. 2017, 13, 347–355. [Google Scholar] [CrossRef] [PubMed]
  92. Davidson, F.; Snow, S.; Hayden, J.A.; Chorney, J. Psychological interventions in managing postoperative pain in children: A systematic review. Pain 2016, 157, 1872–1886. [Google Scholar] [CrossRef] [PubMed]
  93. Edwardson, C.L.; Gorely, T. Parental influences on different types and intensities of physical activity in youth: A systematic review. Psychol. Sport Exerc. 2010, 11, 522–535. [Google Scholar] [CrossRef]
  94. Elsaesser, C.; Russell, B.; Ohannessian, C.M.; Patton, D. Parenting in a digital age: A review of parents’ role in preventing adolescent cyberbullying. Aggress. Violent Behav. 2017, 35, 62–72. [Google Scholar] [CrossRef]
  95. Emory, K.; Saquib, N.; Gilpin, E.A.; Pierce, J.P. The association between home smoking restrictions and youth smoking behaviour: A review. Tob. Control 2010, 19, 495–506. [Google Scholar] [CrossRef]
  96. Ennis, R.P.; Royer, D.J.; Lane, K.L.; Griffith, C.E. A systematic review of precorrection in PK-12 settings. Educ. Treat. Child. 2017, 40, 465–495. [Google Scholar] [CrossRef]
  97. Epton, T.; Currie, S.; Armitage, C.J. Unique effects of setting goals on behavior change: Systematic review and meta-analysis. J. Consult. Clin. Psychol. 2017, 85, 1182–1198. [Google Scholar] [CrossRef]
  98. Farrington, D.; Ttofi, M. School-based programs to reduce bullying and victimization: A systematic review. Campbell Syst. Rev. 2009, 5, 1–148. [Google Scholar]
  99. Ferreira, I.; Van Der Horst, K.; Wendel-Vos, W.; Kremers, S.; Van Lenthe, F.J.; Brug, J. Environmental correlates of physical activity in youth: A review and update. Obes. Rev. 2007, 8, 129–154. [Google Scholar] [CrossRef] [PubMed]
  100. Fitzgerald Leahy, L.R.; Miller, F.G.; Schardt, A.A. Effects of teacher-directed opportunities to respond on student behavioral outcomes: A quantitative synthesis of single-case design research. J. Behav. Educ. 2019, 28, 78–106. [Google Scholar] [CrossRef]
  101. Galanti, M.R.; Coppo, A.; Jonsson, E.; Bremberg, S.; Faggiano, F. Anti-tobacco policy in schools: Upcoming preventive strategy or prevention myth? A review of 31 studies. Tob. Control 2014, 23, 295–301. [Google Scholar] [CrossRef] [PubMed]
  102. Gendreau, P.; Listwan, S.J.; Kuhns, J.B.; Exum, M.L. Making prisoners accountable: Are contingency management programs the answer? Crim. Justice Behav. 2014, 41, 1079–1102. [Google Scholar] [CrossRef]
  103. Hankin, A.; Hertz, M.; Simon, T. Impacts of metal detector use in schools: Insights from 15 years of research. J. Sch. Health. 2011, 81, 100–106. [Google Scholar] [CrossRef] [PubMed]
  104. Heyvaert, M.; Saenen, L.; Maes, B.; Onghena, P. Systematic review of restraint interventions for challenging behaviour among persons with intellectual disabilities: Focus on effectiveness in single-case experiments. J. Appl. Res. Intellect. Disabil. 2014, 27, 493–510. [Google Scholar] [CrossRef]
  105. Jaime, P.C.; Lock, K. Do school based food and nutrition policies improve diet and reduce obesity? Prev. Med. 2009, 48, 45–53. [Google Scholar] [CrossRef]
  106. Jensen, J.D.; Hartmann, H.; de Mul, A.; Schuit, A.; Brug, J. Economic incentives and nutritional behavior of children in the school setting: A systematic review. Nutr. Rev. 2011, 69, 660–674. [Google Scholar] [CrossRef]
  107. Johnston, V.; Liberato, S.; Thomas, D. Incentives for preventing smoking in children and adolescents. Cochrane Database Syst. Rev. 2012, 10, 1–46. [Google Scholar]
  108. Karreman, A.; van Tuijl, C.; van Aken, M.A.G.; Deković, M. Parenting and self-regulation in preschoolers: A meta-analysis. Infant Child Dev. 2006, 15, 561–579. [Google Scholar] [CrossRef]
  109. Kavanagh, J.; Oakley, A.; Harden, A.; Trouton, A.; Powell, C. Are incentive schemes effective in changing young people’s behaviour? A systematic review. Health Educ. J. 2011, 70, 192–205. [Google Scholar] [CrossRef]
  110. Kaynak, Ö.; Winters, K.C.; Cacciola, J.; Kirby, K.C.; Arria, A.M. Providing alcohol for underage youth: What messages should we be sending parents? J. Stud. Alcohol Drugs 2014, 75, 590–605. [Google Scholar] [CrossRef] [PubMed]
  111. Kenney, M.P.; Milling, L.S. The effectiveness of virtual reality distraction for reducing pain: A meta-analysis. Psychol. Conscious. Theory Res. Pract. 2016, 3, 199–210. [Google Scholar] [CrossRef]
  112. Kessler, H.S. Simple interventions to improve healthy eating behaviors in the school cafeteria. Nutr. Rev. 2016, 74, 198–209. [Google Scholar] [CrossRef]
  113. Kim, J.M.; Utley, C.A. A review of communication interventions for young children with Autism Spectrum Disorder. J. Dev. Dis. 2009, 15, 24–47. [Google Scholar]
  114. Klassen, J.A.; Liang, Y.; Tjosvold, L.; Klassen, T.P.; Hartling, L. Music for pain and anxiety in children undergoing medical procedures: A systematic review of randomized controlled trials. Ambul. Pediatr. 2008, 8, 117–128. [Google Scholar] [CrossRef]
  115. Kleiber, C.; Harper, D.C. Effects of distraction on children’s pain and distress during medical procedures: A meta-analysis. Nurs. Res. 1999, 48, 44–49. [Google Scholar] [CrossRef]
  116. Koller, D.; Goldman, R.D. Distraction techniques for children undergoing procedures: A critical review of pediatric research. J. Pediatr. Nurs. 2012, 27, 652–681. [Google Scholar] [CrossRef]
  117. Kowalski, R.M.; Giumetti, G.W.; Schroeder, A.N.; Lattanner, M.R. Bullying in the digital age: A critical review and meta-analysis of cyberbullying research among youth. Psychol. Bull. 2014, 140, 1073. [Google Scholar] [CrossRef]
  118. Lac, A.; Crano, W.D. Monitoring matters: Meta-analytic review reveals the reliable linkage of parental monitoring with adolescent marijuana use. Perspect. Psychol. Sci. 2009, 4, 578–586. [Google Scholar] [CrossRef] [PubMed]
  119. Lancioni, G.E.; O’Reilly, M.F.; Basili, G. Review of strategies for treating sleep problems in persons with severe or profound mental retardation or multiple handicaps. Am. J. Ment. retard. 1999, 104, 170–186. [Google Scholar] [CrossRef] [PubMed]
  120. Landier, W.; Tse, A.M. Use of complementary and alternative medical interventions for the management of procedure-related pain, anxiety, and distress in pediatric oncology: An integrative review. J. Pediatr. Nurs. 2010, 25, 566–579. [Google Scholar] [CrossRef] [PubMed]
  121. Lassetter, J.H. The effectiveness of complementary therapies on the pain experience of hospitalized children. J. Holist. Nurs. 2006, 24, 196–211. [Google Scholar] [CrossRef]
  122. Leão Goettems, M.; Jung Zborowski, E.; dos Santos Costa, F.; Pereira Costa, V.P.; Dias Torriani, D. Nonpharmacologic intervention on the prevention of pain and anxiety during pediatric dental care: A systematic review. Acad. Pediatr. 2017, 17, 110–119. [Google Scholar] [CrossRef]
  123. Lee, A.; Chui, P.T.; Gin, T. Educating patients about anesthesia: A systematic review of randomized controlled trials of media-based interventions. Anesth. Analg. 2003, 96, 1424–1431. [Google Scholar] [CrossRef] [PubMed]
  124. Little, S.G.; Akin-Little, A.; O’Neill, K. Group contingency interventions with children—1980–2010: A meta-analysis. Behav. Modif. 2015, 39, 322–341. [Google Scholar] [CrossRef] [PubMed]
  125. Lubans, D.; Morgan, P.; Tudor-Locke, C. A systematic review of studies using pedometers to promote physical activity among youth. Prev. Med. 2009, 48, 307–315. [Google Scholar] [CrossRef]
  126. Lydon, S.; Healy, O.; O’Callaghan, O.; Mulhern, T.; Holloway, J. A systematic review of the treatment of fears and phobias among children with autism spectrum disorders. Rev. J. Autism. Dev. Disord. 2015, 2, 141–154. [Google Scholar] [CrossRef]
  127. MacSuga-Gage, A.S.; Simonsen, B. Examining the effects of teacher-directed opportunities to respond on student outcomes: A systematic review of the literature. Educ. Treat. Child. 2015, 38, 211–239. [Google Scholar] [CrossRef]
  128. Maggin, D.M.; Chafouleas, S.M.; Goddard, K.M.; Johnson, A.H. A systematic evaluation of token economies as a classroom management tool for students with challenging behavior. J. Sch. Psych. 2011, 49, 529–554. [Google Scholar] [CrossRef] [PubMed]
  129. Maggin, D.M.; Johnson, A.H.; Chafouleas, S.M.; Ruberto, L.M.; Berggren, M. A systematic evidence review of school-based group contingency interventions for students with challenging behavior. J. Sch. Psych. 2012, 50, 625–654. [Google Scholar] [CrossRef] [PubMed]
  130. Maggin, D.M.; Pustejovsky, J.E.; Johnson, A.H. A meta-analysis of school-based group contingency interventions for students with challenging behavior: An update. Remedial Spec. Educ. 2017, 38, 353–370. [Google Scholar] [CrossRef]
  131. Mansfield, J.L.; Savaiano, D.A. Effect of school wellness policies and the Healthy, Hunger-Free Kids Act on food-consumption behaviors of students, 2006–2016: A systematic review. Nutr. Rev. 2017, 75, 533–552. [Google Scholar] [CrossRef] [PubMed]
  132. Manyande, A.; Cyna Allan, M.; Yip, P.; Chooi, C.; Middleton, P. Non-pharmacological interventions for assisting the induction of anaesthesia in children. Cochrane Database Syst. Rev. 2015, 7, 1–119. [Google Scholar] [CrossRef] [PubMed]
  133. Mazarello Paes, V.; Hesketh, K.; O’Malley, C.; Moore, H.; Summerbell, C.; Griffin, S.; Lakshman, R. Determinants of sugar-sweetened beverage consumption in young children: A systematic review. Obes. Rev. 2015, 16, 903–913. [Google Scholar] [CrossRef]
  134. McClain, A.D.; Chappuis, C.; Nguyen-Rodriguez, S.T.; Yaroch, A.L.; Spruijt-Metz, D. Psychosocial correlates of eating behavior in children and adolescents: A review. Int. J. Behav. Nutr. Phys. Activity 2009, 6, 1–20. [Google Scholar] [CrossRef]
  135. McMurtry, C.M.; Noel, M.; Taddio, A.; Antony, M.M.; Asmundson, G.J.; Riddell, R.P.; Shah, V. Interventions for individuals with high levels of needle fear: Systematic review of randomized controlled trials and quasi-randomized controlled trials. Clin. J. Pain. 2015, 31, S109–S123. [Google Scholar] [CrossRef]
  136. Meltzer, L.J.; Mindell, J.A. Systematic review and meta-analysis of behavioral interventions for pediatric insomnia. J. Pediatr. Psych. 2014, 39, 932–948. [Google Scholar] [CrossRef]
  137. Mitchell, J.; Skouteris, H.; McCabe, M.; Ricciardelli, L.A.; Milgrom, J.; Baur, L.A.; Fuller-Tyszkiewicz, M.; Dwyer, G. Physical activity in young children: A systematic review of parental influences. Early Child Dev. Care 2012, 182, 1411–1437. [Google Scholar] [CrossRef]
  138. Mooney, P.; Ryan, J.B.; Uhing, B.M.; Reid, R.; Epstein, M.H. A review of self-management interventions targeting academic outcomes for students with emotional and behavioral disorders. J. Behav. Educ. 2005, 14, 203–221. [Google Scholar] [CrossRef]
  139. Morton, K.L.; Atkin, A.J.; Corder, K.; Suhrcke, M.; Sluijs, E.M.F. The school environment and adolescent physical activity and sedentary behaviour: A mixed-studies systematic review. Obes. Rev. 2016, 17, 142–158. [Google Scholar] [CrossRef] [PubMed]
  140. Nixon, C.; Moore, H.; Douthwaite, W.; Gibson, E.; Vogele, C.; Kreichauf, S.; Summerbell, C.D. Identifying effective behaveioural models and behaviour change strategies underpinning preschool-and school-based obesity prevention interventions aimed at 4–6-year-olds: A systematic review. Obes. Rev. 2012, 13, 106–117. [Google Scholar] [CrossRef] [PubMed]
  141. Oliveira, N.C.A.C.; Linhares, M.B.M. Nonpharmacological interventions for pain relief in children: A systematic review. Psychol. Neurosci. 2015, 8, 28–38. [Google Scholar] [CrossRef]
  142. Owiny, R.L.; Spriggs, A.D.; Sartini, E.C.; Mills, J.R. Evaluating response cards as evidence based. Prev. Sch. Fail. 2018, 62, 59–72. [Google Scholar] [CrossRef]
  143. Ozer, E.J.; Lavi, I.; Douglas, L.; Wolf, J.P. Protective factors for youth exposed to violence in their communities: A review of family, school, and community moderators. J. Clin. Child Adolesc. Psychol. 2017, 46, 353–378. [Google Scholar] [CrossRef]
  144. Pearson, N.; Biddle, S.J.; Gorely, T. Family correlates of fruit and vegetable consumption in children and adolescents: A systematic review. Public Health Nutr. 2009, 12, 267–283. [Google Scholar] [CrossRef]
  145. Pillai Riddell, R.; Taddio, A.; McMurtry, C.M.; Chambers, C.; Shah, V.; Noel, M. Psychological interventions for vaccine injecttions in young children 0 to 3 years: Systematic review of randomized controlled trials and quasi-randomized controlled trials. Clin. J. Pain 2015, 31, S64–S71. [Google Scholar] [CrossRef]
  146. Randolph, J.J. Meta-analysis of the research on response cards: Effects on test achievement, quiz achievement, participation, and off-task behavior. J. Posit. Behav. Interv. 2007, 9, 113–128. [Google Scholar] [CrossRef]
  147. Reutebuch, C.K.; El Zein, F.; Roberts, G.J. A systematic review of the effects of choice on academic outcomes for students with autism spectrum disorder. Res. Autism Spectr. Disord. 2015, 20, 1–16. [Google Scholar] [CrossRef]
  148. Robertson-Wilson, J.E.; Dargavel, M.D.; Bryden, P.J.; Giles-Corti, B. Physical activity policies and legislation in schools: A systematic review. Am. J. Prev. Med. 2012, 43, 643–649. [Google Scholar] [CrossRef] [PubMed]
  149. Royer, D.J.; Lane, K.L.; Cantwell, E.D.; Messenger, M.L. A systematic review of the evidence base for instructional choice in K-12 settings. Behav. Dis. 2017, 42, 89–107. [Google Scholar] [CrossRef]
  150. Sallis, J.F.; Prochaska, J.J.; Taylor, W.C. A review of correlates of physical activity of children and adolescents. Med. Sci. Sports Exer. 2000, 32, 963–975. [Google Scholar] [CrossRef] [PubMed]
  151. Schreuders, M.; Nuyts, P.A.W.; van den Putte, B.; Kunst, A.E. Understanding the impact of school tobacco policies on adolescent smoking behaviour: A realist review. Soc. Sci. Med. 2017, 183, 19–27. [Google Scholar] [CrossRef] [PubMed]
  152. Sellström, E.; Bremberg, S. Is there a ‘school effect’ on a pupil outcomes? A review of multilevel studies. J. Epidem. Comm. Health 2006, 60, 149–155. [Google Scholar] [CrossRef] [PubMed]
  153. Sharma, M. International school-based interventions for preventing obesity in children. Obes. Rev. 2007, 8, 155–167. [Google Scholar] [CrossRef]
  154. Sharmin, S.; Kypri, K.; Khanam, M.; Wadolowski, M.; Bruno, R.; Mattick, R. Parental supply of alcohol in childhood and risky drinking in adolescence: Systematic review and meta-analysis. Int. J. Environ. Res. Public Health 2017, 14, 287. [Google Scholar] [CrossRef]
  155. Sharmin, S.; Kypri, K.; Khanam, M.; Wadolowski, M.; Bruno, R.; Attia, J.; Mattick, R.P. Effects of parental alcohol rules on risky drinking and related problems in adolescence: Systematic review and meta-analysis. Drug Alcohol Depend. 2017, 178, 243–256. [Google Scholar] [CrossRef]
  156. Shepherd, J.; Harden, A.; Rees, R.; Brunton, G.; Garcia, J.; Oliver, S.; Oakley, A. Young people and healthy eating: A systematic review of research on barriers and facilitators. Health Educ. Res. 2006, 21, 239–257. [Google Scholar] [CrossRef]
  157. Sigafoos, J.; Didden, R.; Schlosser, R.; Green, V.; O’Reilly, M.; Lancioni, G. A review of intervention studies on teaching AAC to individuals who are deaf and blind. J. Dev. Phys. Disabil. 2008, 20, 71–99. [Google Scholar] [CrossRef]
  158. Sigmon, S.C.; Patrick, M.E. The use of financial incentives in promoting smoking cessation. Prev. Med. 2012, 55, S24–S32. [Google Scholar] [CrossRef] [PubMed]
  159. Singh, A.; Bassi, S.; Nazar, G.P.; Saluja, K.; Park, M.; Kinra, S.; Arora, M. Impact of school policies on non-communicable disease risk factors—A systematic review. BMC Public Health 2017, 17, 292. [Google Scholar] [CrossRef] [PubMed]
  160. Soares, D.A.; Harrison, J.R.; Vannest, K.J.; McClelland, S.S. Effect size for token economy use in contemporary classroom settings: A meta-analysis of single-case research. Sch. Psych Rev. 2016, 45, 379–399. [Google Scholar] [CrossRef]
  161. Southall, C.M.; Gast, D.L. Self-management procedures: A comparison across the autism spectrum. Educ. Train. Autism. Dev. Disabil. 2011, 155–171. [Google Scholar]
  162. Standley, J.M. Does music instruction help children learn to read? Evidence of a meta-analysis. Update Appl. Res. Music Educ. 2008, 27, 17–32. [Google Scholar] [CrossRef]
  163. Sutherland, K.S.; Wehby, J.H. Exploring the relationship between increased opportunities to respond to academic requests and the academic behavioral outcomes of students with EBD: A review. Remedial Spec. Educ. 2001, 22, 113–121. [Google Scholar] [CrossRef]
  164. Sutphen, R.D.; Ford, J.P.; Flaherty, C. Truancy interventions: A review of the research literature. Res. Soc. Work Pract. 2010, 20, 161–171. [Google Scholar] [CrossRef]
  165. Trost, S.G.; Loprinzi, P.D. Parental influences on physical activity behavior in children and adolescents: A brief review. Am. J. Lifestyle Med. 2011, 5, 171–181. [Google Scholar] [CrossRef]
  166. Tullis, C.A.; Cannella-Malone, H.I.; Basbigill, A.R.; Yeager, A.; Fleming, C.V.; Payne, D.; Wu, P.F. Review of the choice and preference assessment literature for individuals with severe to profound disabilities. Educ. Train. Autism Dev. Disabil. 2011, 46, 576–595. Available online: http://www.jstor.org/stable/24232368 (accessed on 6 July 2020).
  167. Uman, L.S.; Birnie, K.A.; Noel, M.; Parker, J.A.; Chambers, C.T.; McGrath, P.J.; Kisely, S.R. Psychological interventions for needle-related procedural pain and distress in children and adolescents. Cochrane Database Syst. Rev. 2013, 10, 1–135. [Google Scholar] [CrossRef]
  168. Uman, L.S.; Chambers, C.T.; McGrath, P.J.; Kisely, S. Psychological interventions for needle-related procedural pain and distress in children and adolescents. Cochrane Database Syst. Rev. 2006, 4, 1–92. [Google Scholar] [CrossRef]
  169. Van der Burg, J.J.W.; Didden, R.; Jongerius, P.H.; Rotteveel, J.J. A descriptive analysis of studies on behavioural treatment of drooling (1970–2005). Develop. Med. Child Neurol. 2007, 49, 390–394. [Google Scholar] [CrossRef] [PubMed]
  170. Van Der Horst, K.; Oenema, A.; Ferreira, I.; Wendel-Vos, W.; Giskes, K.; van Lenthe, F.; Brug, J. A systematic review of environmental correlates of obesity-related dietary behaviors in youth. Health Educ. Res. 2006, 22, 203–226. [Google Scholar] [CrossRef] [PubMed]
  171. Vartanian, L.R.; Spanos, S.; Herman, C.P.; Polivy, J. Modeling of food intake: A meta-analytic review. Soc. Influ. 2015, 10, 119–136. [Google Scholar] [CrossRef]
  172. Vézina-Im, L.A.; Beaulieu, D.; Bélanger-Gravel, A.; Boucher, D.; Sirois, C.; Dugas, M.; Provencher, V. Efficacy of school-based interventions aimed at decreasing sugar-sweetened beverage consumption among adolescents: A systematic review. Public Health Nutr. 2017, 20, 2416–2431. [Google Scholar] [CrossRef]
  173. Walton, K.; Ingersoll, B. Improving social skills in adolescents and adults with autism and severe to profound intellectual disability: A review of the literature. J. Autism Dev. Disord. 2013, 43, 594–615. [Google Scholar] [CrossRef]
  174. Webber, K.J.; Loescher, L.J. A systematic review of parent role modeling of healthy eating and physical activity for their young African American children. J. Spec. Pediatr. Nurs. 2013, 18, 173–188. [Google Scholar] [CrossRef]
  175. Wente, S.J.K. Nonpharmacologic pediatric pain management in emergency departments: A systematic review of the literature. JEN J. Emerg. Nurs. 2013, 39, 140–150. [Google Scholar] [CrossRef]
  176. Whear, R.; Thompson-Coon, J.; Boddy, K.; Ford, T.; Racey, D.; Stein, K. The effect of teacher-led interventions on social and emotional behaviour in primary school children: A systematic review. Br. Educ. Res. J. 2013, 39, 383–420. [Google Scholar] [CrossRef]
  177. Williams, A.J.; Henley, W.E.; Williams, C.A.; Hurst, A.J.; Logan, S.; Wyatt, K.M. Systematic review and meta-analysis of the association between childhood overweight and obesity and primary school diet and physical activity policies. Int. J. Behav. Nutr. Phys. Act. 2013, 10, 1–22. [Google Scholar] [CrossRef]
  178. Wilson, L.M.; Avila Tang, E.; Chander, G.; Hutton, H.E.; Odelola, O.A.; Elf, J.L.; Haberl, E.B. Impact of tobacco control interventions on smoking initiation, cessation, and prevalence: A systematic review. Int. J. Environ. Res. Public Health 2012, 2012, 961724. [Google Scholar] [CrossRef]
  179. Yao, C.A.; Rhodes, R.E. Parental correlates in child and adolescent physical activity: A meta-analysis. Int. J. Behav. Nutr. Phys. Act. 2015, 12, 10. [Google Scholar] [CrossRef] [PubMed]
  180. Zelinsky, N.A.M.; Shadish, W. A demonstration of how to do a meta-analysis that combines single-case designs with between-groups experiments: The effects of choice making on challenging behaviors performed by people with disabilities. Dev. Neurorehabilit. 2018, 21, 266–278. [Google Scholar] [CrossRef] [PubMed]
  181. Akers, J.S.; Pyle, N.; Higbee, T.S.; Pyle, D.; Gerencser, K.R. A synthesis of script fading effects with individuals with autism spectrum disorder: A 20-year review. Rev. J. Autism Dev. Disord. 2016, 3, 1–17. [Google Scholar] [CrossRef]
  182. Alber, S.R.; Heward, W.L. Teaching students to recruit positive attention: A review and recommendations. J. Behav. Educ. 2000, 10, 177–204. [Google Scholar] [CrossRef]
  183. Baker, S.D.; Lang, R.; O’Reilly, M. Review of video modeling with students with emotional and behavioral disorders. Educ. Treat. Child. 2009, 32, 403–420. [Google Scholar] [CrossRef]
  184. Barton, E.E.; Wolery, M. Teaching pretend play to children with disabilities: A review of the literature. Top. Early Child. Spec. Educ. 2008, 28, 109–125. [Google Scholar] [CrossRef]
  185. Beets, M.W.; Cardinal, B.J.; Alderman, B.L. Parental social support and the physical activity-related behaviors of youth: A review. Health Educ. Behav. 2010, 37, 621–644. [Google Scholar] [CrossRef]
  186. Bellini, S.; Akullian, J. A meta-analysis of video modeling and video self-modeling interventions for children and adolescents with autism spectrum disorders. Except. Child. 2007, 73, 264–287. [Google Scholar] [CrossRef]
  187. Bennett, K.D.; Aljehany, M.S.; Altaf, E.M. Systematic review of video-based instruction component and parametric analyses. J. Spec. Educ. Technol. 2017, 32, 80–90. [Google Scholar] [CrossRef]
  188. Briesch, A.M.; Daniels, B.; Beneville, M. Unpacking the term “self-management”: Understanding intervention applications within the school-based literature. J. Behav. Educ. 2019, 28, 54–77. [Google Scholar] [CrossRef]
  189. Bruhn, A.L.; McDaniel, S.C.; Fernando, J.; Troughton, L. Goal-Setting interventions for students with behavior problems: A systematic review. Behav. Disord. 2016, 41, 107–121. [Google Scholar] [CrossRef]
  190. Bruhn, A.; McDaniel, S.; Kreigh, C. Self-monitoring interventions for students with behavior problems: A systematic review of current research. Behav. Disord. 2015, 40, 102–121. [Google Scholar] [CrossRef]
  191. Caldwell, P.H.Y.; Nankivell, G.; Sureshkumar, P. Simple behavioral interventions for nocturnal enuresis in children. Cochrane Database Syst. Rev. 2013, 7, 1–65. [Google Scholar]
  192. Cameron, J.; Banko, K.M.; Pierce, W.D. Pervasive negative effects of rewards on intrinsic motivation: The myth continues. Behav. Anal. 2001, 24, 1–44. [Google Scholar] [CrossRef] [PubMed]
  193. Cepeda, M.S.; Carr, D.B.; Lau, J.; Alvarez, H. Music for pain relief. Cochrane Database Syst. Rev. 2006, 2, 1–48. [Google Scholar]
  194. Clinton, E. A meta-analysis of video modeling interventions for children and adolescents with emotional/behavioral disorders. Educ. Res. Q. 2016, 40, 67–86. Available online: http://erquarterly.org/ (accessed on 6 July 2017).
  195. Coakley, T.M.; Randolph, S.; Shears, J.; Beamon, E.R.; Collins, P.; Sides, T. Parent–youth communication to reduce at-risk sexual behavior: A systematic literature review. J. Hum. Behav. Soc. Environ. 2017, 27, 609–624. [Google Scholar] [CrossRef] [PubMed]
  196. Commendador, K.A. Parental influences on adolescent decision making and contraceptive use. Pediatr. Nurs. 2010, 36, 147–158. Available online: https://www.pediatricnursing.org/ (accessed on 30 March 2019).
  197. Corralejo, S.M.; Jensen, S.A.; Greathouse, A.D.; Ward, L.E. Parameters of time-out: Research update and comparison to parenting programs, books, and online recommendations. Behav. Ther. 2018, 49, 99–112. [Google Scholar] [CrossRef]
  198. Cowan, R.J.; Abel, L.; Candel, L. A meta-analysis of single-subject research on behavioral momentum to enhance success in students with autism. J. Autism Dev. Disord. 2017, 47, 1464–1477. [Google Scholar] [CrossRef]
  199. Cox, D.D. Evidence-based interventions using home-school collaboration. Sch. Psychol. Q. 2005, 20, 473–497. [Google Scholar] [CrossRef]
  200. Davis, J.L.; Mason, B.A.; Davis, H.S.; Mason, R.A.; Crutchfield, S.A. Self-monitoring interventions for students with ASD: A meta-analysis of school-based research. Rev. J. Autism Dev. Disord. 2016, 3, 196–208. [Google Scholar] [CrossRef]
  201. de Vries, S.L.A.; Hoeve, M.; Assink, M.; Stams, G.J.J.M.; Asscher, J.J. Practitioner review: Effective ingredients of prevention programs for youth at risk of persistent juvenile delinquency—Recommendations for clinical practice. J. Child Psychol. Psychiatry 2015, 56, 108–121. [Google Scholar] [CrossRef] [PubMed]
  202. Deci, E.L.; Koestner, R.; Ryan, R.M. A meta-analytic review of experiments examining the effects of extrinsic rewards on intrinsic motivation. Psychol. Bull. 1999, 125, 627–668. [Google Scholar] [CrossRef] [PubMed]
  203. DeMore, M.; Cohen, L.L. Distraction for pediatric immunization pain: A critical review. J. Clin. Psychol. Med. Settings 2005, 12, 281–291. [Google Scholar] [CrossRef]
  204. Domire, S.C.; Wolfe, P. Effects of video prompting techniques on teaching daily living skills to children with autism spectrum disorders: A review. Res. Pract. Pers. Sev. Disabil. 2014, 39, 211–226. [Google Scholar] [CrossRef]
  205. Gaastra, G.F.; Groen, Y.; Tucha, L.; Tucha, O. The effects of classroom interventions on off-task and disruptive classroom behavior in children with symptoms of attention-deficit/hyperactivity disorder: A meta-analytic review. PLoS ONE 2016, 11, e0148841. [Google Scholar] [CrossRef]
  206. Gerow, S.; Davis, T.; Radhakrishnan, S.; Gregori, E.; Rivera, G. Functional communication training: The strength of evidence across disabilities. Except. Child. 2018, 85, 86–103. [Google Scholar] [CrossRef]
  207. Gerow, S.; Hagan-Burke, S.; Rispoli, M.; Gregori, E.; Mason, R.; Ninci, J. A systematic review of parent-implemented functional communication training for children with ASD. Behav. Modif. 2018, 42, 335–363. [Google Scholar] [CrossRef]
  208. Goh, A.E.; Bambara, L.M. Individualized positive behavior support in school settings: A meta-analysis. Remedial Spec. Educ. 2012, 33, 271–286. [Google Scholar] [CrossRef]
  209. Gover, H.C.; Fahmie, T.A.; McKeown, C.A. A review of environmental enrichment as treatment for problem behavior maintained by automatic reinforcement. J. Appl. Behav. Anal. 2018, 52, 299–314. [Google Scholar] [CrossRef]
  210. Griebler, U.; Rojatz, D.; Simovska, V.; Forster, R. Effects of student participation in school health promotion: A systematic review. Health Promot. Int. 2017, 32, 195–206. [Google Scholar] [CrossRef]
  211. Hawken, L.S.; Bundock, K.; Kladis, K.; O’Keeffe, B.; Barret, C.A. Systematic review of the Check-In, Check-Out intervention for students at risk for emotional and behavioral disorders. Educ. Treat. Child. 2014, 37, 635–658. [Google Scholar] [CrossRef]
  212. Hitchcock, C.H.; Dowrick, P.W.; Prater, M.A. Video self-modeling intervention in school-based settings: A review. Remedial Spec. Educ. 2003, 24, 36–45. [Google Scholar] [CrossRef]
  213. Hoeve, M.; Dubas, J.S.; Eichelsheim, V.I.; van der Laan, P.H.; Smeenk, W.; Gerris, J.R.M. The relationship between parenting and delinquency: A meta-analysis. J. Abnorm. Child Psychol. 2009, 37, 749–775. [Google Scholar] [CrossRef] [PubMed]
  214. Hong, E.R.; Ganz, J.B.; Mason, R.; Morin, K.; Davis, J.L.; Ninci, J.; Gilliland, W.D. The effects of video modeling in teaching functional living skills to persons with ASD: A meta-analysis of single-case studies. Res. Dev. Disabil. 2016, 57, 158–169. [Google Scholar] [CrossRef] [PubMed]
  215. Hong, E.R.; Gong, L.Y.; Ninci, J.; Morin, K.; Davis, J.L.; Kawaminami, S.; Noro, F. A meta-analysis of single-case research on the use of tablet-mediated interventions for persons with ASD. Res. Dev. Disabil. 2017, 70, 198–214. [Google Scholar] [CrossRef]
  216. Hynynen, S.T.; van Stralen, M.M.; Sniehotta, F.F.; Araújo-Soares, V.; Hardeman, W.; Chinapaw, M.J.M.; Hankonen, N. A systematic review of school-based interventions targeting physical activity and sedentary behavior among older adolescents. Int. Rev. Sport Exerc. Psychol. 2016, 9, 22–44. [Google Scholar] [CrossRef]
  217. Johnson, A.M.; Hawes, D.J.; Eisenberg, N.; Kohlhoff, J.; Dudeney, J. Emotion socialization and child conduct problems: A comprehensive review and meta-analysis. Clin. Psychol. Rev. 2017, 54, 65–80. [Google Scholar] [CrossRef]
  218. Jung, S.; Sainato, D.M. Teaching play skills to young children with autism. J. Intellect. Dev. Disabil. 2013, 38, 74. [Google Scholar] [CrossRef] [PubMed]
  219. Kaminski, J.W.; Valle, L.A.; Filene, J.H.; Boyle, C.L. A meta-analytic review of components associated with parent training program effectiveness. J. Abnorm. Child Psychol. 2008, 36, 567–589. [Google Scholar] [CrossRef] [PubMed]
  220. Karkhaneh, M.; Clark, B.; Ospina, M.B.; Seida, J.C.; Smith, V.; Hartling, L. Social Stories™ to improve social skills in children with autism spectrum disorder: A systematic review. Autism: Int. J. Res. Pract. 2010, 14, 641–662. [Google Scholar] [CrossRef] [PubMed]
  221. Knight, V.; Sartini, E.; Spriggs, A. Evaluating visual activity schedules as evidence-based practice for individuals with autism spectrum disorders. J. Autism Dev. Disord. 2015, 45, 157–178. [Google Scholar] [CrossRef]
  222. Kostewicz, D.E. A review of timeout ribbons. Behav. Anal. Today 2010, 11, 95–104. Available online: https://psycnet.apa.org/fulltext/2011-20547-002.html (accessed on 8 March 2018). [CrossRef][Green Version]
  223. Koyama, T.; Wang, H.T. Use of activity schedule to promote independent performance of individuals with autism and other intellectual disabilities: A review. Res. Dev. Disabil. 2011, 32, 2235–2242. [Google Scholar] [CrossRef]
  224. Kuntsche, S.; Kuntsche, E. Parent-based interventions for preventing or reducing adolescent substance use: A systematic literature review. Clin. Psychol. Rev. 2016, 45, 89–101. [Google Scholar] [CrossRef]
  225. Lang, R.; Didden, R.; Machalicek, W.; Rispoli, M.; Sigafoos, J.; Lancioni, G.; Kang, S. Behavioral treatment of chronic skin-picking in individuals with developmental disabilities: A systematic review. Res. Dev. Disabil. A Multidiscip. J. 2010, 31, 304–315. [Google Scholar] [CrossRef]
  226. Langthorne, P.; McGill, P.; Oliver, C. The motivating operation and negatively reinforced problem behavior: A systematic review. Behav. Modif. 2014, 38, 107–159. [Google Scholar] [CrossRef]
  227. Leaf, J.B.; Oppenheim-Leaf, M.L.; Leaf, R.B.; Taubman, M.; McEachin, J.; Parker, T.; Mountjoy, T. What is the proof? A methodological review of studies that have utilized Social Stories. Educ. Train. Autism Dev. Disabil. 2015, 50, 127–141. Available online: https://www.jstor.org/journal/eductraiautideve (accessed on 17 March 2017).
  228. Ledford, J.R.; Wolery, M. Teaching imitation to young children with disabilities: A review of the literature. Top. Early Child. Spec. Educ. 2011, 30, 245–255. [Google Scholar] [CrossRef]
  229. Lee, D.L. Increasing compliance: A quantitative synthesis of applied research on high-probability request sequences. Exceptionality 2005, 13, 141–154. [Google Scholar] [CrossRef]
  230. Leijten, P.; Gardner, F.; Melendez-Torres, G.J.; Knerr, W.; Overbeek, G. Parenting behaviors that shape child compliance: A multilevel meta-analysis. PLoS ONE 2018, 13, e0204929. [Google Scholar] [CrossRef] [PubMed]
  231. Lequia, J.; Machalicek, W.; Rispoli, M.J. Effects of activity schedules on challenging behavior exhibited in children with autism spectrum disorders: A systematic review. Res. Autism Spectr. Disord. 2012, 6, 480–492. [Google Scholar] [CrossRef]
  232. Livingstone, N.; Macdonald, G.; Carr, N. Restorative justice conferencing for reducing recidivism in young offenders (aged 7 to 21). Cochrane Database Syst. Rev. 2013, 2, 1–89. [Google Scholar]
  233. Luman, M.; Oosterlaan, J.; Sergeant, J.A. The impact of reinforcement contingencies on AD/HD: A review and theoretical appraisal. Clin. Psychol. Rev. 2005, 25, 183–213. [Google Scholar] [CrossRef]
  234. Lydon, S.; Healy, O.; O’Reilly, M.; McCoy, A. A systematic review and evaluation of response redirection as a treatment for challenging behavior in individuals with developmental disabilities. Res. Dev. Disabil. 2013, 34, 3148–3158. [Google Scholar] [CrossRef]
  235. Lydon, S.; Moran, L.; Healy, O.; Mulhern, T.; Enright Young, K. A systematic review and evaluation of inhibitory stimulus control procedures as a treatment for stereotyped behavior among individuals with autism. Dev. Neurorehabilit. 2017, 20, 491–501. [Google Scholar] [CrossRef]
  236. Ma, I.; van Duijvenvoorde, A.; Scheres, A. The interaction between reinforcement and inhibitory control in ADHD: A review and research guidelines. Clin. Psychol. Rev. 2016, 44, 94–111. [Google Scholar] [CrossRef]
  237. MacNaul, H.L.; Neely, L.C. Systematic review of differential reinforcement of alternative behavior without extinction for individuals with autism. Behav. Modif. 2018, 42, 398–421. [Google Scholar] [CrossRef]
  238. Mason, R.A.; Davis, H.S.; Ayres, K.M.; Davis, J.L.; Mason, B.A. Video self-modeling for individuals with disabilities: A best-evidence, single case meta-analysis. J. Dev. Phys. Disabil. 2016, 28, 623–642. [Google Scholar] [CrossRef]
  239. Mason, R.A.; Davis, H.S.; Boles, M.B.; Goodwyn, F. Efficacy of point-of-view video modeling: A meta-analysis. Remedial Spec. Educ. 2013, 34, 333–345. [Google Scholar] [CrossRef]
  240. Mason, R.A.; Ganz, J.B.; Parker, R.I.; Burke, M.D.; Camargo, S.P. Moderating factors of video-modeling with other as model: A meta-analysis of single-case studies. Res. Dev. Disabil. 2012, 33, 1076–1086. [Google Scholar] [CrossRef]
  241. Matson, J.L.; Dixon, D.R.; Matson, M.L. Assessing and treating aggression in children and adolescents with developmental disabilities: A 20-year overview. Educ. Psychol. 2005, 25, 151–181. [Google Scholar] [CrossRef]
  242. Mager, U.; Nowak, P. Effects of student participation in decision making at school. A systematic review and synthesis of empirical research. Educ. Res. Rev. 2012, 7, 38–61. [Google Scholar] [CrossRef]
  243. McDonald, T.A.; Machalicek, W. Systematic review of intervention research with adolescents with autism spectrum disorders. Res. Autism Spectr. Disord. 2013, 7, 1439–1460. [Google Scholar] [CrossRef]
  244. McGill, R.J.; Baker, D.; Busse, R.T. Social Story™ interventions for decreasing challenging behaviors: A single-case meta-analysis 1995–2012. Educ. Psychol. Pract. 2015, 31, 21–42. [Google Scholar] [CrossRef]
  245. Mindell, J. Behavioral treatment of bedtime problems and night wakings in infants and young children. Sleep 2006, 29, 1263–1276. [Google Scholar]
  246. Morgan, P.L. Increasing task engagement using preference or choice-making: Some behavioral and methodological factors affecting their efficacy as classroom interventions. Remedial Spec. Educ. 2006, 27, 176–187. [Google Scholar] [CrossRef]
  247. Mulligan, S.; Healy, O.; Lydon, S.; Moran, L.; Foody, C. An analysis of treatment efficacy for stereotyped and repetitive behaviors in autism. Rev. J. Autism Dev. Disord. 2014, 1, 143–164. [Google Scholar] [CrossRef]
  248. Mynttinen, M.; Pietilä, A.-M.; Kangasniemi, M. What does parental involvement mean in preventing adolescents’ use of alcohol? An integrative review. J. Child Adolesc. Subst. Abus. 2017, 26, 338–351. [Google Scholar] [CrossRef]
  249. Neely, L.; Garcia, E.; Bankston, B.; Green, A. Generalization and maintenance of functional communication training for individuals with developmental disabilities: A systematic and quality review. Res. Dev. Disabil. 2018, 79, 116–129. [Google Scholar] [CrossRef]
  250. Nugent, W.R.; Williams, M.; Umbreit, M.S. Participation in victim-offender mediation and the prevalence of subsequent delinquent behavior: A meta-analysis. Res. Soc. Work Pract. 2004, 14, 408–416. [Google Scholar] [CrossRef]
  251. Owen, D.; Slep, A.; Heyman, R. The effect of praise, positive nonverbal response, reprimand, and negative nonverbal response on child compliance: A systematic review. Clin. Child Fam. Psychol. Rev. 2012, 15, 364–385. [Google Scholar] [CrossRef] [PubMed]
  252. Patall, E.A.; Cooper, H.; Robinson, J.C. The effects of choice on intrinsic motivation and related outcomes: A meta-analysis of research findings. Psychol. Bull. 2008, 134, 270–300. [Google Scholar] [CrossRef] [PubMed]
  253. Petscher, E.S.; Rey, C.; Bailey, J.S. A review of empirical support for differential reinforcement of alternative behavior. Res. Dev. Disabil. 2009, 30, 409–425. [Google Scholar] [CrossRef] [PubMed]
  254. Pyle, K.; Fabiano, G.A. Daily report card intervention and attention deficit hyperactivity disorder: A meta-analysis of single-case studies. Except. Child. 2017, 83, 378–395. [Google Scholar] [CrossRef]
  255. Radley, K.; Dart, E. Antecedent strategies to promote children’s and adolescents’ compliance with adult requests: A review of the literature. Clin. Child Fam. Psychol. Rev. 2016, 19, 39–54. [Google Scholar] [CrossRef]
  256. Reid, R.; Trout, A.L.; Schartz, M. Self-regulation interventions for children with attention deficit/hyperactivity disorder. Except. Child. 2005, 71, 361–377. Available online: https://journals.sagepub.com/home/ecx (accessed on 16 June 2017).
  257. Reinoso, G.; Carsone, B.; Weldon, S.; Powers, J.; Bellare, N. Food selectivity and sensitivity in children with autism spectrum disorder: A systematic review defining the issue and evaluating interventions. N. Zeal. J. Occup. Ther. 2018, 65, 36–42. Available online: https://go.gale.com/ps/i.do?p=HRCA&u=googlescholar&id=GALE|A619090806&v=2.1&it=r&sid=googleScholar&asid=b0e08cae (accessed on 27 November 2018).
  258. Reynhout, G.; Carter, M. Evaluation of the efficacy of Social Stories™ using three single subject metrics. Res. Autism Spectr. Disord. 2011, 5, 885–900. [Google Scholar] [CrossRef]
  259. Richardson, M.; Moore, D.A.; Gwernan-Jones, R.; Thompson-Coon, J.; Ukoumunne, O.; Rogers, M.; Ford, T.J. Non-pharmacological interventions for attention-deficit/hyperactivity disorder (ADHD) delivered in school settings: Systematic reviews of quantitative and qualitative research. Health Technol. Assess. 2015, 19, 1–470. [Google Scholar] [CrossRef] [PubMed]
  260. Royer, D.J.; Lane, K.L.; Dunlap, K.D.; Ennis, R.P. A systematic review of teacher-delivered behavior-specific praise on K–12 student performance. Remedial Spec. Educ. 2018, 40, 112–128. [Google Scholar] [CrossRef]
  261. Ryan, S.M.; Jorm, A.F.; Lubman, D.I. Parenting factors associated with reduced adolescent alcohol use: A systematic review of longitudinal studies. Aust. N. Z. J. Psychiatry 2010, 44, 774–783. [Google Scholar] [CrossRef] [PubMed]
  262. Schwalbe, C.S.; Gearing, R.E.; MacKenzie, M.J.; Brewer, K.B.; Ibrahim, R. A meta-analysis of experimental studies of diversion programs for juvenile offenders. Clin. Psychol. Rev. 2012, 32, 26–33. [Google Scholar] [CrossRef]
  263. See, B.H.; Gorard, S.; Torgerson, C. Promoting post-16 participation of ethnic minority students from disadvantaged backgrounds: A systematic review of the most promising interventions. Res. Post-Compuls. Educ. 2012, 17, 409–422. [Google Scholar] [CrossRef]
  264. Seubert, C.; Fryling, M.J.; Wallace, M.D.; Jiminez, A.R.; Meier, A.E. Antecedent interventions for pediatric feeding problems. J. Appl. Behav. Anal. 2014, 47, 449–453. [Google Scholar] [CrossRef]
  265. Shilling, V.; Edwards, V.; Rogers, M.; Morris, C. The experience of disabled children as inpatients: A structured review and synthesis of qualitative studies reporting the views of children, parents and professionals. Child Care Health Dev. 2012, 38, 778–788. [Google Scholar] [CrossRef]
  266. Simonsen, B.; Fairbanks, S.; Briesch, A.; Myers, D.; Sugai, G. Evidence-based practices in classroom management: Considerations for research to practice. Educ. Treat. Child. 2008, 31, 351–380. [Google Scholar] [CrossRef]
  267. Simó-Pinatella, D.; Font-Roura, J.; Planella-Morato, J.; McGill, P.; Alomar-Kurz, E.; Gine, C. Types of motivating operations in interventions with problem behavior: A systematic review. Behav. Modif. 2013, 37, 3–38. [Google Scholar] [CrossRef]
  268. Spriggs, A.D.; Mims, P.J.; van Dijk, W.; Knight, V.F. Examination of the evidence base for using visual activity schedules with students with intellectual disability. J. Spec. Educ. 2017, 51, 14–26. [Google Scholar] [CrossRef]
  269. Styles, A. Social Stories™: Does the research evidence support the popularity? Educ. Psychol. Pract. 2011, 27, 415–436. [Google Scholar] [CrossRef]
  270. Sutton, M.Y.; Lasswell, S.M.; Lanier, Y.; Miller, K.S. Impact of parent-child communication interventions on sex behaviors and cognitive outcomes for black/African-American and Hispanic/Latino youth: A Systematic Review, 1988–2012. Adolesc. Health 2014, 54, 369–384. [Google Scholar] [CrossRef]
  271. Tatla, S.K.; Sauve, K.; Jarus, T.; Virji-Babul, N.; Holsti, L. The effects of motivating interventions on rehabilitation outcomes in children and youth with acquired brain injuries: A systematic review. Brain Inj. 2014, 28, 1022–1035. [Google Scholar] [CrossRef] [PubMed]
  272. Vannest, K.J.; Davis, J.L.; Davis, C.R.; Mason, B.A.; Burke, M.D. Effective intervention for behavior with a daily behavior report card: A meta-analysis. Sch. Psychol. Rev. 2010, 39, 654–672. Available online: https://www.tandfonline.com/doi/abs/10.1080/02796015.2010.12087748 (accessed on 17 March 2017). [CrossRef]
  273. Vegas, K.C.; Jenson, W.R.; Kircher, J.C. A single-subject meta-analysis of the effectiveness of time-out in reducing disruptive classroom behavior. Behav. Disord. 2007, 32, 109–121. [Google Scholar] [CrossRef]
  274. Voight, A.; Nation, M. Practices for improving secondary school climate: A systematic review of the research literature. Am. J. Community Psychol. 2016, 58, 174–191. [Google Scholar] [CrossRef]
  275. Vriend, J.L.; Corkum, P.V.; Moon, E.C.; Smith, I.M. Behavioral interventions for sleep problems in children with autism spectrum disorders: Current findings and future directions. J. Pediatr. Psychol. 2011, 36, 1017–1029. [Google Scholar] [CrossRef]
  276. Walker, V.L.; Snell, M.E. Effects of augmentative and alternative communication on challenging behavior: A meta-analysis. AAC Augment. Altern. Commun. 2013, 29, 117–131. [Google Scholar] [CrossRef]
  277. Warmbold-Brann, K.; Burns, M.K.; Preast, J.L.; Taylor, C.N.; Aguilar, L.N. Meta-Analysis of the effects of academic interventions and modifications on student behavior outcomes. Sch. Psychol. Q. 2017, 32, 291. [Google Scholar] [CrossRef]
  278. Warzak, W.J.; Forcino, S.S.; Sanberg, S.A.; Gross, A.C. Advancing continence in typically developing children: Adapting the procedures of Foxx and Azrin for primary care. J. Dev. Behav. Pediatr. 2016, 37, 83–87. [Google Scholar] [CrossRef]
  279. Wolfe, K.; Pyle, D.; Charlton, C.T.; Sabey, C.V.; Lund, E.M.; Ross, S.W. A systematic review of the empirical support for Check-In Check-Out. J. Posit. Behav. Interv. 2016, 18, 74–88. [Google Scholar] [CrossRef]
  280. Yee, A.Z.H.; Lwin, M.O.; Ho, S.S. The influence of parental practices on child promotive and preventive food consumption behaviors: A systematic review and meta-analysis. Int. J. Behav. Nutr. Phys. Act. 2017, 14, 47. [Google Scholar] [CrossRef] [PubMed]
  281. Zhou, Y.; Cameron, E.; Forbes, G.; Humphris, G. Systematic review of the effect of dental staff behavior on child dental patient anxiety and behavior. Patient Educ. Couns. 2011, 85, 4–13. [Google Scholar] [CrossRef] [PubMed]
  282. Zimmer-Gembeck, M.J.; Helfand, M. Ten years of longitudinal research on U.S. adolescent sexual behavior: Developmental correlates of sexual intercourse, and the importance of age, gender and ethnic background. Dev. Rev. 2008, 28, 153–224. [Google Scholar] [CrossRef]
  283. Zimmerman, K.N.; Ledford, J.R. Beyond ASD: Evidence for the effectiveness of social narratives. J. Early Interv. 2017, 39, 199–217. [Google Scholar] [CrossRef]
  284. Scherer, R.; Nilsen, T. Closing the gaps? Differential effectiveness and accountability as a road to school improvement. Sch. Eff. Sch. Improv. 2019, 30, 255–260. [Google Scholar] [CrossRef]
  285. Hunt, D.E. A conceptual level matching model for coordinating learner characteristics with educational approaches. In Teaching Effectiveness: Its Meaning, Assessment, and Improvement; Mohan, M., Hull, R.E., Eds.; Educational Technology Publications: Englewood Cliffs, NJ, USA, 1975; pp. 209–238. [Google Scholar]
  286. Stern, D.N. The Interpersonal World of the Infant: A View from Psychoanalysis and Developmental Psychology; Karnac Books: London, UK, 1985. [Google Scholar]
  287. Tronick, E.; Als, H.; Adamson, L.; Wise, S.; Brazelton, T.B. The infant’s response to entrapment between contradictory messages in face-to-face interaction. J. Am. Acad. Child Psychiatry 1978, 17, 1–13. [Google Scholar] [CrossRef]
  288. Lisper, H.; Nilsson, K. An experimental test of active listening as comforting communication for crying children. Scand. J. Behav. Ther. 1982, 2, 183–193. [Google Scholar] [CrossRef]
  289. Luiselli, J.K. Physical restraint of people with intellectual disability: A review of implementation reduction and elimination procedures. J. Appl. Res. Intellect. Disabil. 2009, 22, 126–134. [Google Scholar] [CrossRef]
  290. Di Renzo, M.; Guerriero, V.; Zavattini, G.C.; Petrillo, M.; Racinaro, L.; Di Castelbianco, F.B. Parental attunement, insightfulness, and acceptance of child diagnosis in parents of children with autism: Clinical implications. Front. Psychol. 2020, 11, 1849. [Google Scholar] [CrossRef] [PubMed]
  291. Funderburk, B.W.; Eyberg, S. Parent–child interaction therapy. In History of Psychotherapy: Continuity and Change; Norcross, J.C., VandenBos, G.R., Freedheim, D.K., Eds.; American Psychological Association: Washington, DC, USA, 2011; pp. 415–420. [Google Scholar]
  292. Drayton, A.K.; Andersen, M.N.; Knight, R.M.; Felt, B.T.; Fredericks, E.M.; Dore-Stites, D.J. Internet guidance on time out: Inaccuracies, omissions, and what to tell parents instead. J. Dev. Behav. Pediatr. 2014, 35, 239–246. [Google Scholar] [CrossRef] [PubMed]
  293. Kohn, A. Punished by Rewards: The Trouble with Gold Stars, Incentive Plans, A’s, Praise, and Other Bribes; Houghton Mifflin Harcourt: Boston, MA, USA, 1999; ISBN 978-0-618-00181-1. [Google Scholar]
  294. Kohn, A. Almost There, but Not Quite. Educ. Leadersh. 2003, 60, 26–29. Available online: http://www.ascd.org/publications/educational-leadership.aspx (accessed on 9 January 2020).
  295. Siegel, D.; Payne Bryson, T. Time-Outs’ Are Hurting Your Child. Time, 23 September 2014. Available online: https://time.com/3404701/discipline-time-out-is-not-good/ (accessed on 12 January 2020).
  296. Siegel, D.J.; Payne Bryson, T. The trouble with time-outs. Scholast. Parent Child 2014, 22, 40–45. Available online: http://www.scholastic.com/earlylearner/parentandchild/publix/ (accessed on 12 January 2020).
  297. Siegel, D.; Payne Bryson, T. You said WHAT about time-outs. Huffington Post, 21 October 2014. Available online: https://www.huffingtonpost.com/daniel-j-siegel-md/time-outs-overused_b_6006332.html (accessed on 12 January 2020).
  298. Durrant, J.E.; Stewart-Tufescu, A. What is “Discipline” in the Age of Children’s Rights? Int. J. Child. Rights 2017, 25, 359–379. [Google Scholar] [CrossRef]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Article Metrics

Citations

Article Access Statistics

Multiple requests from the same IP address are counted as one view.