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Schamberger, Tamara; Schuberth, Florian; Henseler, Jörg – International Journal of Behavioral Development, 2023
Research in human development often relies on composites, that is, composed variables such as indices. Their composite nature renders these variables inaccessible to conventional factor-centric psychometric validation techniques such as confirmatory factor analysis (CFA). In the context of human development research, there is currently no…
Descriptors: Individual Development, Factor Analysis, Statistical Analysis, Structural Equation Models
Cuartas, Jorge; McCoy, Dana Charles – International Journal of Behavioral Development, 2021
Mediation has played a critical role in developmental theory and research. Yet, developmentalists rarely discuss the methodological challenges of establishing causality in mediation analysis or potential strategies to improve the identification of causal mediation effects. In this article, we discuss the potential outcomes framework from…
Descriptors: Mediation Theory, Behavior Development, Influences, Inferences
Ferguson, Sarah L.; Moore, E. Whitney G.; Hull, Darrell M. – International Journal of Behavioral Development, 2020
The present guide provides a practical guide to conducting latent profile analysis (LPA) in the Mplus software system. This guide is intended for researchers familiar with some latent variable modeling but not LPA specifically. A general procedure for conducting LPA is provided in six steps: (a) data inspection, (b) iterative evaluation of models,…
Descriptors: Statistical Analysis, Computer Software, Data Analysis, Goodness of Fit
Stefansson, Kristjan K.; Gestsdottir, Steinunn; Geldhof, G. John; Skulason, Sigurgrimur; Lerner, Richard M. – International Journal of Behavioral Development, 2016
School engagement involves cognitive, emotional, and behavioral components that overlap conceptually. This conceptual ambiguity has led to measures that have either consisted of one general factor or separate correlated factors. However, neither approach can sufficiently account for both the uniqueness and the overlap of the subcomponents. The…
Descriptors: Learner Engagement, Adolescents, Academic Achievement, Correlation
Soenens, Bart; Berzonsky, Michael D.; Papini, Dennis R. – International Journal of Behavioral Development, 2016
Although research suggests an interplay between identity development and self-esteem, most studies focused on the role of identity commitment and measured only level of self-esteem. This study examined longitudinal associations between Berzonsky's (2011) styles of identity exploration and two distinct features of self-esteem: level of self-esteem…
Descriptors: Self Esteem, Individual Development, Longitudinal Studies, Questionnaires
Grimm, Kevin; Marcoulides, Katerina – International Journal of Behavioral Development, 2016
Researchers are often interested in studying how the timing of a specific event affects concurrent and future development. When faced with such research questions there are multiple statistical models to consider and those models are the focus of this paper as well as their theoretical underpinnings and assumptions regarding the nature of the…
Descriptors: Experience, Time, Change, Statistical Analysis
Stemmler, Mark; Heine, Jörg-Henrik – International Journal of Behavioral Development, 2017
Configural frequency analysis and log-linear modeling are presented as person-centered analytic approaches for the analysis of categorical or categorized data in multi-way contingency tables. Person-centered developmental psychology, based on the holistic interactionistic perspective of the Stockholm working group around David Magnusson and Lars…
Descriptors: Classification, Data, Tables (Data), Models
Keijsers, Loes – International Journal of Behavioral Development, 2016
This article aims to provide a critical analysis of how much we know about the effectiveness of parental monitoring in preventing adolescent delinquency. First, it describes the historical developments in parental monitoring research. Second, it explains why it is uncertain whether causal inferences can be drawn from contemporary research findings…
Descriptors: Adolescents, Behavior Problems, Child Rearing, Delinquency
Coulombe, Patrick; Selig, James P.; Delaney, Harold D. – International Journal of Behavioral Development, 2016
Researchers often collect longitudinal data to model change over time in a phenomenon of interest. Inevitably, there will be some variation across individuals in specific time intervals between assessments. In this simulation study of growth curve modeling, we investigate how ignoring individual differences in time points when modeling change over…
Descriptors: Individual Differences, Longitudinal Studies, Simulation, Change
Pohling, Rico; Diessner, Rhett; Strobel, Anja – International Journal of Behavioral Development, 2018
Experiencing the moral emotions of gratitude and moral elevation are responses to witnessing virtuous deeds of others. Both emotions have been found to share similar features and behavioral consequences, including the stimulation of personal development. The broaden-and-build theory of positive emotions indicates that gratitude and elevation…
Descriptors: Role, Moral Values, Self Concept, Individual Development
Burns, Alison Reimuller; Hussong, Andrea M.; Solis, Jessica M.; Curran, Patrick J.; McGinley, James S.; Bauer, Daniel J.; Chassin, Laurie; Zucker, Robert A. – International Journal of Behavioral Development, 2017
The current study demonstrates the application of an analytic approach for incorporating multiple time trends in order to examine the impact of cohort effects on individual trajectories of eight drugs of abuse. Parallel analysis of two independent, longitudinal studies of high-risk youth that span ages 10 to 40 across 23 birth cohorts between 1968…
Descriptors: Substance Abuse, Cohort Analysis, Trend Analysis, Longitudinal Studies
Maslowsky, Julie; Jager, Justin; Hemken, Douglas – International Journal of Behavioral Development, 2015
Latent variables are common in psychological research. Research questions involving the interaction of two variables are likewise quite common. Methods for estimating and interpreting interactions between latent variables within a structural equation modeling framework have recently become available. The latent moderated structural equations (LMS)…
Descriptors: Structural Equation Models, Computation, Goodness of Fit, Effect Size
Holl, Anna Katharina; Kirsch, Fabian; Rohlf, Helena; Krahé, Barbara; Elsner, Birgit – International Journal of Behavioral Development, 2018
Theory of mind is one of the most important cognitive factors in social information-processing, and deficits in theory of mind have been linked to aggressive behavior in childhood. The present longitudinal study investigated reciprocal links between theory of mind and two forms of aggression--physical and relational--in middle childhood with three…
Descriptors: Theory of Mind, Aggression, Correlation, Gender Differences
Hernández, Maciel M.; Eisenberg, Nancy; Valiente, Carlos; Diaz, Anjolii; VanSchyndel, Sarah K.; Berger, Rebecca H.; Terrell, Nathan; Silva, Kassondra M.; Spinrad, Tracy L.; Southworth, Jody – International Journal of Behavioral Development, 2017
The purpose of the study was to evaluate bidirectional associations between peer acceptance and both emotion and effortful control during kindergarten (N = 301). In both the fall and spring semesters, we obtained peer nominations of acceptance, measures of positive and negative emotion based on naturalistic observations in school (i.e., classroom,…
Descriptors: Peer Acceptance, Emotional Response, Self Control, Kindergarten
Jung, Janis; Krahé, Barbara; Busching, Robert – International Journal of Behavioral Development, 2018
Being surrounded by peers who are accepting of aggression is a significant predictor of the development and persistence of aggression in childhood and adolescence. Whereas past research has focused on social reinforcement mechanisms as the underlying processes, the present longitudinal study analysed the role of external control beliefs as an…
Descriptors: Reinforcement, Aggression, Predictor Variables, Peer Influence
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