Behavioral Changes during the First Year of the COVID-19 Pandemic: A Longitudinal Comparison of Bullying, Cyberbullying, Externalizing Behavior Problems and Prosocial Behavior in Adolescents
Abstract
:1. Introduction
2. Theoretical Background
2.1. Bullying among Adolescents in Times of COVID-19 Pandemic
2.2. Impact of the COVID-19 Pandemic on Adolescents’ Behavior Problems
2.3. Current Study
3. Methods
3.1. Participants and Procedure
3.2. Instruments
3.3. Data Analytic Procedures
4. Results
4.1. Preliminary Analyses
4.2. Main Analyses
5. Discussion
6. Practical Implications
7. Limitations
8. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- European Centre for Disease Prevention and Control. COVID-19 in Children and the Role of School Settings in Transmission—First Update. 2020. Available online: https://www.ecdc.europa.eu/en/publications-data/children-and-school-settings-covid-19-transmission (accessed on 16 January 2023).
- Riccardo, F.; Ajelli, M.; Andrianou, X.D.; Bella, A.; Del Manso, M.; Fabiani, M.; Bellino, S.; Boros, S.; Urdiales, A.M.; Marziano, V.; et al. Epidemiological characteristics of COVID-19 cases and estimates of the reproductive numbers 1 month into the epidemic, Italy, 28 January to 31 March 2020. Eurosurveillance 2020, 25, 2000790. [Google Scholar] [CrossRef] [PubMed]
- Turiel, E. Domain Specificity in Social Interactions, Social Thought, and Social Development. Child Dev. 2010, 81, 720–726. [Google Scholar] [CrossRef] [PubMed]
- Ellis, W.E.; Zarbatany, L. Understanding Processes of Peer Clique Influence in Late Childhood and Early Adolescence. Child Dev. Perspect. 2017, 11, 227–232. [Google Scholar] [CrossRef]
- Havighurst, R.J. Developmental Tasks and Education, 3rd ed.; David McKay Company, Inc.: Philadelphia, PA, USA, 1972. [Google Scholar]
- Magson, N.R.; Freeman, J.Y.A.; Rapee, R.M.; Richardson, C.E.; Oar, E.L.; Fardouly, J. Risk and Protective Factors for Prospective Changes in Adolescent Mental Health during the COVID-19 Pandemic. J. Youth Adolesc. 2021, 50, 44–57. [Google Scholar] [CrossRef] [PubMed]
- Holmes, E.A.; O’Connor, R.C.; Perry, V.H.; Tracey, I.; Wessely, S.; Arseneault, L.; Ballard, C.; Christensen, H.; Silver, R.C.; Everall, I.; et al. Multidisciplinary research priorities for the COVID-19 pandemic: A call for action for mental health science. Lancet Psychiatry 2020, 7, 547–560. [Google Scholar] [CrossRef]
- O’Connor, R.C.; Wetherall, K.; Cleare, S.; McClelland, H.; Melson, A.J.; Niedzwiedz, C.L.; O’Carroll, R.E.; O’Connor, D.B.; Platt, S.; Scowcroft, E.; et al. Mental health and well-being during the COVID-19 pandemic: Longitudinal analyses of adults in the UK COVID-19 Mental Health & Wellbeing study. Br. J. Psychiatry 2021, 218, 326–333. [Google Scholar] [CrossRef]
- Van Verseveld, M.D.A.; Fekkes, M.; Fukkink, R.G.; Oostdam, R.J. Teachers’ Experiences With Difficult Bullying Situations in the School: An Explorative Study. J. Early Adolesc. 2021, 41, 43–69. [Google Scholar] [CrossRef]
- United Nations Educational, Scientific and Cultural Organization [UNESCO]. COVID-19 Educational Disruption and Response. Available online: https://en.unesco.org/covid19/educationresponse (accessed on 16 January 2023).
- Fegert, J.M.; Vitiello, B.; Plener, P.L.; Clemens, V. Challenges and burden of the Coronavirus 2019 (COVID-19) pandemic for child and adolescent mental health: A narrative review to highlight clinical and research needs in the acute phase and the long return to normality. Child Adolesc. Psychiatry Ment. Health 2020, 14, 20. [Google Scholar] [CrossRef]
- Zhao, Y.; Guo, Y.; Xiao, Y.; Zhu, R.; Sun, W.; Huang, W.; Liang, D.; Tang, L.; Zhang, F.; Zhu, D.; et al. The Effects of Online Homeschooling on Children, Parents, and Teachers of Grades 1–9 During the COVID-19 Pandemic. Med. Sci. Monit. Int. Med. J. Exp. Clin. Res. 2020, 26, e925591-1. [Google Scholar] [CrossRef]
- Eickelmann, B.; Gerick, J. Lernen mit digitalen Medien. Zielsetzungen in Zeiten von Corona und unter besonderer Berücksichtigung von sozialen Ungleichheiten [Learning with digital media. Objectives in times of Corona and with special consideration of social inequalities]. Die Dtsch. Sch. Z. Für Erzieh. Bild. Und Pädagogische Prax. 2020, 16, 153–162. [Google Scholar] [CrossRef]
- Anger, C.; Plünnecke, A. Schulische Bildung zu Zeiten der Corona-Krise. [School education at the time of the corona crisis]. Perspekt. Wirtsch. 2020, 21, 353–360. [Google Scholar] [CrossRef]
- Engels, B. Corona: Stresstest für Die Digitalisierung in Deutschland [Corona: Stress Test for Digitization in Germany] (No. 23/2020); IW-Kurzbericht, Institut der deutschen Wirtschaft: Cologne, Germany, 2020. [Google Scholar]
- Wößmann, L.; Lergetporer, P.; Grewenig, E.; Kugler, F.; Werner, K. Fürchten sich die Deutschen vor der Digitalisierung? Ergebnisse des ifo Bildungsbarometers 2017 [Are the Germans afraid of digitization? Results of the Ifo Education Barometer 2017]. ifo Schnelldienst 2017, 70, 17–38. [Google Scholar]
- Machimbarrena, J.M.; Calvete, E.; Fernández-González, L.; Álvarez-Bardón, A.; Álvarez-Fernández, L.; González-Cabrera, J. Internet risks: An overview of victimization in cyberbullying, cyber dating abuse, sexting, online grooming and problematic internet use. Int. J. Environ. Res. Public Heal. 2018, 15, 2471. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Garaigordobil, M.; Machimbarrena, J.M. Victimization and Perpetration of Bullying/Cyberbullying: Connections with Emotional and Behavioral Problems and Childhood Stress. Psychosoc. Interv. 2019, 28, 67–73. [Google Scholar] [CrossRef] [Green Version]
- Gini, G. Associations between bullying behaviour, psychosomatic complaints, emotional and behavioural problems. J. Paediatr. Child Heal. 2008, 44, 492–497. [Google Scholar] [CrossRef]
- Marengo, D.; Jungert, T.; Iotti, N.O.; Settanni, M.; Thornberg, R.; Longobardi, C. Conflictual student–teacher relationship, emotional and behavioral problems, prosocial behavior, and their associations with bullies, victims, and bullies/victims. Educ. Psychol. 2018, 38, 1201–1217. [Google Scholar] [CrossRef]
- Oriol, X.; Miranda, R.; Amutio, A. Dispositional and situational moral emotions, bullying and prosocial behavior in adolescence. Curr. Psychol. 2021, 1–18. [Google Scholar] [CrossRef]
- Olweus, D. Bullying at School: What We Know and What We Can Do; Blackwell Publishing: Hoboken, NJ, USA, 1993. [Google Scholar]
- Thomas, H.J.; Connor, J.P.; Scott, J.G. Integrating Traditional Bullying and Cyberbullying: Challenges of Definition and Measurement in Adolescents—A Review. Educ. Psychol. Rev. 2015, 27, 135–152. [Google Scholar] [CrossRef]
- Zych, I.; Ortega-Ruiz, R.; Del Rey, R. Systematic review of theoretical studies on bullying and cyberbullying: Facts, knowledge, prevention, and intervention. Aggress. Violent Behav. 2015, 23, 1–21. [Google Scholar] [CrossRef]
- Bergmann, M.C.; Baier, D.; Rehbein, F.; Mößle, T. Jugendliche in Niedersachsen: Ergebnisse des Niedersachsensurveys 2013 und 2015 (KFN-Forschungsberichte No. 131) [Adolescents in Lower Saxony: Results of the Lower Saxony Survey 2013 and 2015 (KFN Research Reports No. 131)]; Kriminologisches Forschungsinstitut Niedersachsen eV (KFN): Hannover, Germany, 2017. [Google Scholar]
- Jung, Y.-E.; Leventhal, B.; Kim, Y.S.; Park, T.W.; Lee, S.-H.; Lee, M.; Park, S.H.; Yang, J.-C.; Chung, Y.-C.; Chung, S.-K.; et al. Cyberbullying, Problematic Internet Use, and Psychopathologic Symptoms among Korean Youth. Yonsei Med J. 2014, 55, 826–830. [Google Scholar] [CrossRef] [Green Version]
- Cosma, A.; Walsh, S.D.; Chester, K.L.; Callaghan, M.; Molcho, M.; Craig, W.; Pickett, W. Bullying victimization: Time trends and the overlap between traditional and cyberbullying across countries in Europe and North America. Int. J. Public Heal. 2020, 65, 75–85. [Google Scholar] [CrossRef] [PubMed]
- Due, P.; Damsgaard, M.T.; Rasmussen, M.; Holstein, B.E. Trends in Social Inequality in Exposure to Bullying at School 1994-2018. J. Educ. Soc. Behav. Sci. 2019, 32, 1–7. [Google Scholar] [CrossRef]
- Jadambaa, A.; Thomas, H.J.; Scott, J.G.; Graves, N.; Brain, D.; Pacella, R. Prevalence of traditional bullying and cyberbullying among children and adolescents in Australia: A systematic review and meta-analysis. Aust. New Zealand J. Psychiatry 2019, 53, 878–888. [Google Scholar] [CrossRef] [PubMed]
- Niproschke, S.; Oertel, L.; Schubarth, W.; Ulbricht, J.; Bilz, L. Mehr oder weniger Gewalt an Schulen? Eine Replikationsstudie 1996–2014 an sächsischen Schulen [More or less violence in schools? A replication study from 1996–2014 in Saxon schools]. Z. Soziologie Erzieh. Sozial. 2016, 36, 78–96. [Google Scholar] [CrossRef]
- BBC. Coronavirus: What Lockdown Is Like for Kids All around the World. 2020. Available online: https://www.bbc.co.uk/newsround/52106625 (accessed on 16 January 2023).
- Chen, F.; Zheng, D.; Liu, J.; Gong, Y.; Guan, Z.; Lou, D. Depression and anxiety among adolescents during COVID-19: A cross-sectional study. Brain Behav. Immun. 2020, 88, 36–38. [Google Scholar] [CrossRef]
- Arslan, G. School-Based Social Exclusion, Affective Wellbeing, and Mental Health Problems in Adolescents: A Study of Mediator and Moderator Role of Academic Self-Regulation. Child Indic. Res. 2018, 11, 963–980. [Google Scholar] [CrossRef]
- Arslan, G. School belongingness, well-being, and mental health among adolescents: Exploring the role of loneliness. Aust. J. Psychol. 2021, 73, 70–80. [Google Scholar] [CrossRef]
- Jones, A.C.; Schinka, K.C.; van Dulmen, M.H.M.; Bossarte, R.M.; Swahn, M.H. Changes in Loneliness during Middle Childhood Predict Risk for Adolescent Suicidality Indirectly through Mental Health Problems. J. Clin. Child Adolesc. Psychol. 2011, 40, 818–824. [Google Scholar] [CrossRef]
- Schinka, K.C.; van Dulmen, M.H.; Mata, A.D.; Bossarte, R.; Swahn, M. Psychosocial predictors and outcomes of loneliness trajectories from childhood to early adolescence. J. Adolesc. 2013, 36, 1251–1260. [Google Scholar] [CrossRef]
- RKI. Daily Situation Report of the Robert Koch Institute. 2020. Available online: https://www.rki.de/DE/Content/InfAZ/N/Neuartiges_Coronavirus/Situationsberichte/Gesamt.html (accessed on 16 January 2023).
- RKI. Daily Situation Report of the Robert Koch Institute. 2021. Available online: https://www.rki.de/DE/Content/InfAZ/N/Neuartiges_Coronavirus/Situationsberichte/Gesamt.html (accessed on 16 January 2023).
- Faul, F.; Erdfelder, E.; Lang, A.-G.; Buchner, A. G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav. Res. Methods 2007, 39, 175–191. [Google Scholar] [CrossRef]
- Faul, F.; Erdfelder, E.; Buchner, A.; Lang, A.-G. Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses. Behav. Res. Methods 2009, 41, 1149–1160. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Goodman, R. The Strengths and Difficulties Questionnaire: A Research Note. J. Child Psychol. Psychiatry 1997, 38, 581–586. [Google Scholar] [CrossRef] [PubMed]
- Döpfner, M.; Achenbach, T.M.; Plück, J.; Kinnen, C.; Plück, J. CBCL/6-18R-TRF/6-18R-YSR/11-18R: Deutsche Schulalter-Formen der Child Behavior Checklist von Thomas M. Achenbach: Elternfragebogen über das Verhalten von Kindern und Jugendlichen (CBCL/6-18R), Lehrerfragebogen über das Verhalten von Kindern und Jugendlichen (TRF/6-18R), Fragebogen für Jugendliche (YSR/11-18R) [CBCL/6-18R-TRF/6-18R-YSR/11-18R: German school age forms of the Child Behavior Checklist by Thomas M. Achenbach: Parents Questionnaire about the Behavior of Children and Adolescents (CBCL/6-18R), Teacher Questionnaire about the Behavior of Children and Adolescents (TRF/6-18R), Questionnaire for Adolescents (YSR/11-18R)]; Hogrefe: Göttingen, Germany, 2014. [Google Scholar]
- Achenbach, T.M. Manual for the Child Behavior Checklist/4-18 and 1991 Profile; Department of Psychiatry, University of Vermont: Burlington, VT, USA, 1991. [Google Scholar]
- Cohen, J. Statistical Power Analysis for the Behavioral Sciences; Lawrence Erlbaum Associates: Hillsdale, NJ, USA, 1988. [Google Scholar] [CrossRef]
- Fischer, S.M.; John, N.; Melzer, W.; Kaman, A.; Winter, K.; Bilz, L. Traditional bullying and cyberbullying among children and adolescents in Germany–Cross-sectional results of the 2017/18 HBSC study and trends. J. Health Monit. 2020, 5, 56–72. [Google Scholar] [CrossRef]
- Leander, K.M.; McKim, K.K. Tracing the Everyday ‘Sitings’ of Adolescents on the Internet: A strategic adaptation of ethnography across online and offline spaces. Educ. Commun. Inf. 2003, 3, 211–240. [Google Scholar] [CrossRef]
- Dekovic, M.; Buist, K.L.; Reitz, E. Stability and Changes in Problem Behavior During Adolescence: Latent Growth Analysis. J. Youth Adolesc. 2004, 33, 1–12. [Google Scholar] [CrossRef]
- Reitz, E.; Deković, M.; Meijer, A.M. The Structure and Stability of Externalizing and Internalizing Problem Behavior During Early Adolescence. J. Youth Adolesc. 2005, 34, 577–588. [Google Scholar] [CrossRef]
- Klipker, K.; Baumgarten, F.; Göbel, K.; Lampert, T.; Hölling, H. Mental health problems in children and adolescents in germany. Results of the cross-sectional kiggs wave 2 study and trends. J. Health Monit. 2018, 3, 34–41. [Google Scholar] [CrossRef]
- Gershon, J. A Meta-Analytic Review of Gender Differences in ADHD. J. Atten. Disord. 2002, 5, 143–154. [Google Scholar] [CrossRef]
- Hölling, H.; Erhart, M.; Ravens-Sieberer, U.; Schlack, R. Verhaltensauffälligkeiten bei Kindern und Jugendlichen. Erste Ergebnisse aus dem Kinder- und Jugendgesundheitssurvey [Behavioral problems in children and adolescents. First results from the child and adolescent health survey] (KiGGS). Bundesgesundheitsblatt-Gesundh.-Gesundh. 2007, 50, 784–793. [Google Scholar] [CrossRef]
- Klein, A.M.; Otto, Y.; Fuchs, S.; Zenger, M.; von Klitzing, K. Psychometric Properties of the Parent-Rated SDQ in Preschoolers. Eur. J. Psychol. Assess. Off. Organ Eur. Assoc. Psychol. Assess. 2013, 29, 96–104. [Google Scholar] [CrossRef]
- Leadbeater, B.J.; Kuperminc, G.P.; Blatt, S.J.; Hertzog, C. A multivariate model of gender differences in adolescents’ internalizing and externalizing problems. Dev. Psychol. 1999, 35, 1268–1282. [Google Scholar] [CrossRef] [PubMed]
- Halldorsdottir, T.; Thorisdottir, I.E.; Meyers, C.C.A.; Asgeirsdottir, B.B.; Kristjansson, A.L.; Valdimarsdottir, H.B.; Allegrante, J.P.; Sigfusdottir, I.D. Adolescent well-being amid the COVID-19 pandemic: Are girls struggling more than boys? JCPP Adv. 2021, 1, e12027. [Google Scholar] [CrossRef] [PubMed]
- Dukes, R.L.; Stein, J.A.; Zane, J.I. Gender differences in the relative impact of physical and relational bullying on adolescent injury and weapon carrying. J. Sch. Psychol. 2010, 48, 511–532. [Google Scholar] [CrossRef] [PubMed]
- Fernández, M.V.C.; Castro, Y.R.; Garrido, J.M.F.; Otero, M.C. Bullying in Spanish Secondary Schools: Gender-Based Differences. Span. J. Psychol. 2013, 16, E21. [Google Scholar] [CrossRef]
- Pichel, R.; Foody, M.; Norman, J.O.; Feijóo, S.; Varela, J.; Rial, A. Bullying, Cyberbullying and the Overlap: What Does Age Have to Do with It? Sustainability 2021, 13, 8527. [Google Scholar] [CrossRef]
- Ryoo, J.H.; Wang, C.; Swearer, S.M. Examination of the change in latent statuses in bullying behaviors across time. Sch. Psychol. Q. 2015, 30, 105–122. [Google Scholar] [CrossRef]
- González-Cabrera, J.; León-Mejía, A.; Beranuy, M.; Gutiérrez-Ortega, M.; Alvarez-Bardón, A.; Machimbarrena, J.M. Relationship between cyberbullying and health-related quality of life in a sample of children and adolescents. Qual. Life Res. 2018, 27, 2609–2618. [Google Scholar] [CrossRef]
- KMK. Bildung in der digitalen Welt. Strategie der Kultusministerkonferenz [Education in the Digital World. Strategy of the Standing Conference of Education Ministers]. 2016. Available online: https://www.kmk.org/fileadmin/Dateien/veroeffentlichungen_beschluesse/2016/2016_12_08-Bildung-in-der-digitalen-Welt.pdf (accessed on 16 January 2023).
- Mußmann, F.; Hardwig, T.; Riethmüller, M.; Klötzer, S. Digitalisierung im Schulsystem 2021. Arbeitszeit, Arbeitsbedingungen, Rahmenbedingungen und Perspektiven von Lehrkräften in Deutschland. Ergebnisbericht [Digitization in the school system in 2021. Working Hours, Working Conditions, Framework and Per-spectives of Teachers in Germany. Results Report]; Georg-August-Universität Göttingen: Göttingen, Germany, 2021. [Google Scholar] [CrossRef]
- Pallant, J. SPSS Survival Manual: A Step by Step Guide to Data Analysis using SPSS for Windows, 3rd ed.; Open University Press/McGraw-Hill: Berkshire, UK, 2007. [Google Scholar]
N | M | SD | MD | Min | Max | α | |
---|---|---|---|---|---|---|---|
Traditional Bullying T1 | 100 | 8.07 | 2.45 | 7 | 6 | 18 | 0.63 |
Traditional Bullying T2 | 82 | 8.44 | 2.46 | 8 | 6 | 20 | 0.67 |
Cyberbullying T1 | 101 | 5.08 | 1.63 | 4 | 4 | 12 | 0.60 |
Cyberbullying T2 | 83 | 5.75 | 2.25 | 5 | 4 | 12 | 0.66 |
Prosocial Behavior T1 | 123 | 13.02 | 2.1 | 13 | 6 | 15 | 0.77 |
Prosocial Behavior T2 | 117 | 12.73 | 1.71 | 13 | 8 | 15 | 0.61 |
Externalizing Behavior Problems T1 | 111 | 51.85 | 9.43 | 52 | 32 | 89 | 0.88 |
Externalizing Behavior Problems T2 | 118 | 54.18 | 9.53 | 55 | 31 | 88 | 0.88 |
Age T1 | 130 | 13.88 | 1.26 | 14 | 10 | 17 | |
Age T2 | 130 | 14.82 | 1.29 | 15 | 11 | 18 |
1. | 2. | 3. | 4. | 5. | 6. | 7. | |
---|---|---|---|---|---|---|---|
1. Traditional Bullying T1 | 1 | ||||||
2. Traditional Bullying T2 | 0.25 * | 1 | |||||
3. Cyberbullying T1 | 0.53 *** | 0.27 * | 1 | ||||
4. Cyberbullying T2 | 0.32 ** | 0.46 *** | 0.46 *** | 1 | |||
5. Prosocial Behavior T1 | −0.34 ** | −0.13 | −0.23 * | −0.27 * | 1 | ||
6. Prosocial Behavior T2 | −0.13 | −0.23 * | −0.03 | −0.09 | 0.45 *** | 1 | |
7. Externalizing behavior problems T1 | 0.47 *** | 0.18 | 0.45 *** | 0.33 ** | −0.37 *** | −0.20 * | 1 |
8. Externalizing behavior problems T2 | 0.43 *** | 0.53 *** | 0.41*** | 0.46 *** | −0.24* | −0.19 * | 0.62 *** |
Girls | Boys | ||||||
---|---|---|---|---|---|---|---|
M | SD | M | SD | t | df | Cohen’s d | |
Traditional Bullying T1 | 8.00 | 2.42 | 8.15 | 2.50 | −0.30 | 98 | −0.06 |
Traditional Bullying T2 | 8.56 | 2.67 | 8.35 | 2.30 | 0.38 | 80 | 0.08 |
Cyberbullying T1 | 5.19 | 1.44 | 4.96 | 1.83 | 0.70 | 99 | 0.14 |
Cyberbullying T2 | 6.00 | 2.58 | 5.53 | 1.93 | 0.94 | 81 | 0.21 |
Prosocial Behavior T1 | 13.35 | 2.15 | 12.69 | 2.00 | 1.78 | 121 | 0.32 |
Prosocial Behavior T2 | 13.18 | 1.58 | 12.23 | 1.73 | 3.12 ** | 115 | 0.58 |
Externalizing behavior problems T1 | 52.66 | 10.55 | 51.02 | 8.15 | 0.92 | 109 | 0.17 |
Externalizing behavior problems T2 | 55.95 | 9.83 | 52.28 | 8.89 | 2.12 * | 116 | 0.39 |
Younger Adolescents | Older Adolescents | ||||||
---|---|---|---|---|---|---|---|
M | SD | M | SD | t | df | Cohen’s d | |
Traditional Bullying T1 | 7.59 | 2.35 | 8.29 | 2.47 | 1.34 | 98 | 0.29 |
Traditional Bullying T2 | 8.23 | 1.97 | 8.54 | 2.66 | 0.52 | 80 | 0.12 |
Cyberbullying T1 | 4.58 | 0.75 | 5.32 | 1.87 | 2.21 ** | 96.57 | 0.47 |
Cyberbullying T2 | 5.54 | 1.94 | 5.84 | 2.38 | 0.57 | 81 | 0.14 |
Prosocial Behavior T1 | 13.05 | 2.37 | 13.01 | 1.97 | −0.10 | 121 | −0.02 |
Prosocial Behavior T2 | 12.87 | 1.76 | 12.66 | 1.69 | −0.62 | 115 | −0.12 |
Externalizing behavior problems T1 | 49.94 | 9.33 | 52.76 | 9.40 | 1.48 | 109 | 0.30 |
Externalizing behavior problems T2 | 51.76 | 8.59 | 55.33 | 9.78 | 1.92 | 116 | 0.38 |
T1 Pre-Pandemic States | T2 Pandemic States | Main Effect | Interaction with Gender | Interaction with Age | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
M | SD | M | SD | N | df | F | η2p | F | η2p | F | η2p | |
Traditional Bullying | 8.12 | 2.47 | 8.63 | 2.63 | 65 | 1, 61 | 1.92 | 0.03 | 1.10 | 0.02 | 0.47 | 0.01 |
Cyberbullying | 5.09 | 1.76 | 5.91 | 2.40 | 68 | 1, 64 | 5.45 * | 0.08 | 0.06 | 0.00 | 0.60 | 0.01 |
Prosocial Behavior | 13.13 | 1.97 | 12.69 | 1.72 | 112 | 1, 108 | 4.48 * | 0.04 | 0.18 | 0.00 | 0.94 | 0.01 |
Externalizing behavior problems | 52.00 | 9.65 | 54.25 | 9.45 | 102 | 1, 98 | 2.10 | 0.02 | 0.03 | 0.00 | 0.00 | 0.00 |
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Bäker, N.; Schütz-Wilke, J. Behavioral Changes during the First Year of the COVID-19 Pandemic: A Longitudinal Comparison of Bullying, Cyberbullying, Externalizing Behavior Problems and Prosocial Behavior in Adolescents. COVID 2023, 3, 289-300. https://doi.org/10.3390/covid3020022
Bäker N, Schütz-Wilke J. Behavioral Changes during the First Year of the COVID-19 Pandemic: A Longitudinal Comparison of Bullying, Cyberbullying, Externalizing Behavior Problems and Prosocial Behavior in Adolescents. COVID. 2023; 3(2):289-300. https://doi.org/10.3390/covid3020022
Chicago/Turabian StyleBäker, Neele, and Jessica Schütz-Wilke. 2023. "Behavioral Changes during the First Year of the COVID-19 Pandemic: A Longitudinal Comparison of Bullying, Cyberbullying, Externalizing Behavior Problems and Prosocial Behavior in Adolescents" COVID 3, no. 2: 289-300. https://doi.org/10.3390/covid3020022
APA StyleBäker, N., & Schütz-Wilke, J. (2023). Behavioral Changes during the First Year of the COVID-19 Pandemic: A Longitudinal Comparison of Bullying, Cyberbullying, Externalizing Behavior Problems and Prosocial Behavior in Adolescents. COVID, 3(2), 289-300. https://doi.org/10.3390/covid3020022