Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 4 |
Since 2016 (last 10 years) | 11 |
Since 2006 (last 20 years) | 33 |
Descriptor
Models | 39 |
Longitudinal Studies | 32 |
Foreign Countries | 14 |
Correlation | 8 |
Adolescents | 7 |
Statistical Analysis | 7 |
Age Differences | 6 |
Data Analysis | 6 |
Developmental Stages | 5 |
Friendship | 5 |
Prediction | 5 |
More ▼ |
Source
International Journal of… | 39 |
Author
Geldhof, G. John | 3 |
Gestsdottir, Steinunn | 3 |
Lerner, Richard M. | 3 |
Grimm, Kevin J. | 2 |
Jia, Fan | 2 |
Keller, Heidi | 2 |
Kiuru, Noona | 2 |
Lamm, Bettina | 2 |
Little, Todd D. | 2 |
Lohaus, Arnold | 2 |
Nurmi, Jari-Erik | 2 |
More ▼ |
Publication Type
Journal Articles | 39 |
Reports - Research | 26 |
Reports - Evaluative | 8 |
Reports - Descriptive | 4 |
Information Analyses | 1 |
Opinion Papers | 1 |
Education Level
Elementary Education | 4 |
High Schools | 3 |
Higher Education | 3 |
Early Childhood Education | 2 |
Primary Education | 2 |
Grade 1 | 1 |
Grade 10 | 1 |
Grade 2 | 1 |
Grade 3 | 1 |
Grade 4 | 1 |
Grade 9 | 1 |
More ▼ |
Audience
Researchers | 1 |
Location
Germany | 4 |
Australia | 3 |
Canada | 2 |
Iceland | 2 |
Arizona | 1 |
Belgium | 1 |
California | 1 |
Cameroon | 1 |
China | 1 |
Finland | 1 |
India | 1 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
Wechsler Intelligence Scale… | 2 |
Childrens Manifest Anxiety… | 1 |
Kaufman Brief Intelligence… | 1 |
National Longitudinal Survey… | 1 |
Peabody Picture Vocabulary… | 1 |
Strengths and Difficulties… | 1 |
What Works Clearinghouse Rating
Jankowsky, Kristin; Schroeders, Ulrich – International Journal of Behavioral Development, 2022
Attrition in longitudinal studies is a major threat to the representativeness of the data and the generalizability of the findings. Typical approaches to address systematic nonresponse are either expensive and unsatisfactory (e.g., oversampling) or rely on the unrealistic assumption of data missing at random (e.g., multiple imputation). Thus,…
Descriptors: Artificial Intelligence, Man Machine Systems, Attrition (Research Studies), Longitudinal Studies
Hecht, Martin; Voelkle, Manuel C. – International Journal of Behavioral Development, 2021
The analysis of cross-lagged relationships is a popular approach in prevention research to explore the dynamics between constructs over time. However, a limitation of commonly used cross-lagged models is the requirement of equally spaced measurement occasions that prevents the usage of flexible longitudinal designs and complicates cross-study…
Descriptors: Models, Longitudinal Studies, Prevention, Time
Kim, Su-Young; Huh, David; Zhou, Zhengyang; Mun, Eun-Young – International Journal of Behavioral Development, 2020
Latent growth models (LGMs) are an application of structural equation modeling and frequently used in developmental and clinical research to analyze change over time in longitudinal outcomes. Maximum likelihood (ML), the most common approach for estimating LGMs, can fail to converge or may produce biased estimates in complex LGMs especially in…
Descriptors: Bayesian Statistics, Maximum Likelihood Statistics, Longitudinal Studies, Models
DeLay, Dawn; Laursen, Brett; Kiuru, Noona; Rogers, Adam; Kindermann, Thomas; Nurmi, Jari-Erik – International Journal of Behavioral Development, 2021
The present study compares two methods for assessing peer influence: the longitudinal actor-partner interdependence model (L-APIM) and the longitudinal social network analysis (L-SNA) Model. The data were drawn from 1,995 (49% girls and 51% boys) third grade students (M[subscript age] = 9.68 years). From this sample, L-APIM (n = 206…
Descriptors: Peer Influence, Evaluation Methods, Social Networks, Network Analysis
Wu, Wei; Jia, Fan; Kinai, Richard; Little, Todd D. – International Journal of Behavioral Development, 2017
Spline growth modelling is a popular tool to model change processes with distinct phases and change points in longitudinal studies. Focusing on linear spline growth models with two phases and a fixed change point (the transition point from one phase to the other), we detail how to find optimal data collection designs that maximize the efficiency…
Descriptors: Longitudinal Studies, Data Collection, Models, Change
Rapee, Ronald M.; Forbes, Miriam K.; Oar, Ella L.; Richardson, Cele E.; Johnco, Carly J.; Magson, Natasha R.; Fardouly, Jasmine – International Journal of Behavioral Development, 2020
Social anxiety is a common mental disorder with an average age of onset in early adolescence. Current theories focus largely on risk factors that are present from early in life, but reasons for onset of the disorder as youth move into adolescence are rarely discussed. We recently proposed a model of the onset of certain mental disorders during the…
Descriptors: Models, Anxiety Disorders, Mental Disorders, Risk
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
Acha, Joana; Agirregoikoa, Ainhize; Barreto, Florencia B.; Arranz, Enrique – International Journal of Behavioral Development, 2021
The role of working memory (WM) in language acquisition has been widely reported in the developmental literature, but few studies have explored the role of sentence recall in the way WM and related linguistic abilities evolve. This study seeks to explore the organization and development of the memory architecture underlying language using a…
Descriptors: Role, Short Term Memory, Vocabulary Development, Language Acquisition
Gniewosz, Burkhard; Gniewosz, Gabriela – International Journal of Behavioral Development, 2018
The present article aims to show how to model longitudinal change in cohort sequential data applying latent true change models using Mplus' multi-group approach. The underlying modeling ideas are described and explained in this article. As an example, change in internalizing problem behaviors between the age of 8 and 13 years is modeled and…
Descriptors: Models, Data, Behavior Problems, Children
English, Tammy; Carstensen, Laura L. – International Journal of Behavioral Development, 2014
Past research has documented age differences in the size and composition of social networks that suggest that networks grow smaller with age and include an increasingly greater proportion of well-known social partners. According to socioemotional selectivity theory, such changes in social network composition serve an antecedent emotion regulatory…
Descriptors: Social Networks, Age Differences, Social Theories, Self Control
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
Gestsdottir, Steinunn; Geldhof, G. John; Paus, Tomáš; Freund, Alexandra M.; Adalbjarnardottir, Sigrun; Lerner, Jacqueline V.; Lerner, Richard M. – International Journal of Behavioral Development, 2015
We address how to conceptualize and measure intentional self-regulation (ISR) among adolescents from four cultures by assessing whether ISR (conceptualized by the SOC model of Selection, Optimization, and Compensation) is represented by three factors (as with adult samples) or as one "adolescence-specific" factor. A total of 4,057 14-…
Descriptors: Self Control, Cross Cultural Studies, Cultural Differences, Adolescents
Rhemtulla, Mijke; Jia, Fan; Wu, Wei; Little, Todd D. – International Journal of Behavioral Development, 2014
We examine the performance of planned missing (PM) designs for correlated latent growth curve models. Using simulated data from a model where latent growth curves are fitted to two constructs over five time points, we apply three kinds of planned missingness. The first is item-level planned missingness using a three-form design at each wave such…
Descriptors: Data Analysis, Error of Measurement, Models, Longitudinal Studies
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
Geldhof, G. John; Gestsdottir, Steinunn; Stefansson, Kristjan; Johnson, Sara K.; Bowers, Edmond P.; Lerner, Richard M. – International Journal of Behavioral Development, 2015
Intentional self-regulation (ISR) undergoes significant development across the life span. However, our understanding of ISR's development and function remains incomplete, in part because the field's conceptualization and measurement of ISR vary greatly. A key sample case involves how Baltes and colleagues' Selection, Optimization,…
Descriptors: Measurement Techniques, Likert Scales, Construct Validity, Reliability