Search Results (5)

Safety climate has been extensively studied using survey-based approaches, providing significant insights into safety perceptions and behaviors. However, understanding its dynamics in construction projects requires methods that address temporal and trade-specific variability. This study employs a longitudinal, mixed-methods design to explore safety climate dynamics. Quantitative data analyzed with ANOVA revealed stable overall safety climate scores across project phases, while Item Response Theory (IRT) identified survey items sensitive to safety climate changes. Positive perceptions were associated with management commitment and regular safety meetings, while negative perceptions highlighted challenges such as workplace congestion and impractical safety rules. Qualitative data from semi-structured interviews uncovered trade-specific and phase-specific safety challenges, including issues tied to site logistics and workforce dynamics. For instance, transitioning from structural to interior work introduced congestion-related risks and logistical complexities, underscoring the need for phase-adapted strategies. This combination of quantitative stability and qualitative variability provides empirical evidence of safety climate dynamics in construction. The findings emphasize the importance of tailoring safety interventions to address trade-specific and phase-specific risks. This study advances the understanding of the safety climate in dynamic work environments and offers actionable recommendations for improving construction safety management through targeted, proactive strategies. Full article

Background/Objective: This study aimed to validate the eight-item Suicidality Scale (SS) in Spanish in a Colombian sample to aid in suicide risk assessment, given the pressing need for accurate, accessible tools in resource-strained settings. Methods: A sample of 313 participants, drawn from both clinical and community settings, was used to evaluate the psychometric properties of the SS through tests of internal consistency, item response theory (IRT), and comparisons with clinical risk evaluations. Results: The SS demonstrated strong psychometric properties, with high internal consistency (ω = 0.96) and a significant correlation with clinical risk assessments (r = 0.84). Model fit indices confirmed a unidimensional eight-item structure with low error rates, while item response analysis revealed strong item discrimination. No differential item functioning was observed by gender or psychiatric diagnosis, supporting its consistency across demographics. Items on past suicide attempts and desire to live were excluded as they did not improve scale performance. Variability within risk levels suggests that individual differences may require clinical judgment. Conclusions: The findings validate the Colombian–Spanish SS as a valuable tool for suicide risk assessment, usable in both self-report and clinician-administered formats. Its brief, culturally adapted structure supports its utility in resource-limited environments, providing an accessible option for rapid screening. While the SS effectively categorizes general risk, further longitudinal studies are recommended to enhance its applicability in guiding clinical decisions and long-term risk management. Full article

Item response theory models and applications are affected by many sources of variability, including errors associated with item parameter estimation. Metric stability analysis (MSA) is one method to evaluate the effects of item parameter standard errors that quantifies how well a model determines the latent trait metric. This paper describes how to evaluate MSA in dichotomous and polytomous data and describes a Bayesian implementation of MSA that does not require a positive definite variance–covariance matrix among item parameters. MSA analyses are illustrated in the context of an oral-health-related quality of life measure administered before and after prosthodontic treatment. The R code to implement the methods described in this paper is provided. Full article

This study aimed to clarify the variability in the independence profiles of specific activities of daily living (ADL) among older men and women. The research subjects were 5872 older adults (1143 men and 4729 women) certified as requiring nursing care or support (based on data obtained from the nursing care insurance certification survey database) who could be surveyed in both 2009 and 2018. Using item response theory, this study compared longitudinal data of difficulties faced by older adults during ADL. The results indicated that among the long-term care insurance-certified persons, in 2009, men had higher ADL difficulty than women in all ADL items, and in 2018, there was no significant difference in items other than dressing and excretion. Furthermore, the difference in the rate of ADL difficulty level over 9 years was significantly higher in women than in men. It was shown that the progression of ADL disability due to aging is faster in men on a yearly basis, but it increases in women with aging. Therefore, it was suggested that the rate of ADL difficulty varies depending on age and sex. Full article

Direct Behavior Rating (DBR) as a behavioral progress monitoring tool can be designed as longitudinal assessment with only short intervals between measurement points. The reliability of these instruments has been mostly evaluated in observational studies with small samples based on generalizability theory. However, for a standardized use in the pedagogical field, a larger and broader sample is required in order to assess measurement invariance between different participant groups and over time. Therefore, we constructed a DBR, the Questionnaire for Monitoring Behavior in Schools (QMBS) with multiple items to measure the occurrence of specific externalizing and internalizing student classroom behaviors on a Likert scale (1 = never to 7 = always). In a pilot study, two trained raters observed 16 primary education students and rated the student behavior over all items with a satisfactory reliability. In the main study, 108 regular primary school students, 97 regular secondary students, and 14 students in a clinical setting were rated daily over one week (five measurement points). Item response theory (IRT) analyses confirmed the technical adequacy of the instrument and latent growth models demonstrated the instrument’s stability over time. Further development of the instrument and study designs to implement DBRs is discussed. Full article