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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
Diseth, Åge; Breidablik, Hans Johan; Meland, Eivind – Educational Psychology, 2018
The relation between autonomy support and basic need satisfaction was investigated by applying a longitudinal design at a time interval of two years, and by comparing two different grade level cohorts of students. Participants comprised 1.225 Norwegian students divided by two subsamples (6th and 8th grade level/8th and 10th grade level). The…
Descriptors: Foreign Countries, Longitudinal Studies, Secondary School Students, Cohort Analysis
Symonds, Jennifer; Dietrich, Julia; Chow, Angela; Salmela-Aro, Katariina – Developmental Psychology, 2016
Underpinned by stage-environment fit and job demands-resources theories, this study examined how adolescents' anxiety, depressive symptoms, and positive functioning developed as they transferred from comprehensive school to further education, employment or training, or became NEET (not in education, employment, or training), at age 16 years, in…
Descriptors: Foreign Countries, Adolescents, Mental Health, Education Work Relationship
Strietholt, Rolf; Scherer, Ronny – Scandinavian Journal of Educational Research, 2018
The present paper aims to discuss how data from international large-scale assessments (ILSAs) can be utilized and combined, even with other existing data sources, in order to monitor educational outcomes and study the effectiveness of educational systems. We consider different purposes of linking data, namely, extending outcomes measures,…
Descriptors: International Assessment, Group Testing, Outcomes of Education, Outcome Measures
Branum-Martin, Lee; Mehta, Paras D.; Taylor, W. Patrick; Carlson, Coleen D.; Lei, Xiaoxuan; Hunter, C. Vincent; Francis, David J. – Society for Research on Educational Effectiveness, 2015
In order to examine the effectiveness of instruction, the authors confront formidable statistical problems, including multivariate structure of classroom observations, longitudinal dependence of both classroom observations and student outcomes. As the authors begin to examine instruction, classroom observations involve multiple variables for which…
Descriptors: Instructional Effectiveness, Learning Processes, Multivariate Analysis, Classroom Observation Techniques
Shanley, Lina – Educational Researcher, 2016
Accurately measuring and modeling academic achievement growth is critical to support educational policy and practice. Using a nationally representative longitudinal data set, this study compared various models of mathematics achievement growth on the basis of both practical utility and optimal statistical fit and explored relationships within and…
Descriptors: Mathematics Achievement, Achievement Gains, Longitudinal Studies, Academic Achievement
Nes, Ragnhild B.; Røysamb, Espen; Hauge, Lars J.; Kornstad, Tom; Landolt, Markus A.; Irgens, Lorentz M.; Eskedal, Leif; Kristensen, Petter; Vollrath, Margarete E. – Developmental Psychology, 2014
This study explores the stability and change in maternal life satisfaction and psychological distress following the birth of a child with a congenital anomaly using 5 assessments from the Norwegian Mother and Child Cohort Study collected from Pregnancy Week 17 to 36 months postpartum. Participating mothers were divided into those having infants…
Descriptors: Life Satisfaction, Mothers, Psychological Patterns, Stress Variables
Lung, For-Wey; Chiang, Tung-Liang; Lin, Shio-Jean; Shu, Bih-Ching; Lee, Meng-Chih – Research in Developmental Disabilities: A Multidisciplinary Journal, 2011
The Taiwan Birth Cohort Study (TBCS) is the first nationwide birth cohort database in Asia designed to establish national norms of children's development. Several challenges during database development and data analysis were identified. Challenges include sampling methods, instrument development and statistical approach to missing data. The…
Descriptors: Foreign Countries, Structural Equation Models, National Norms, Data Analysis
Boden, Joseph M.; Fergusson, David M.; Horwood, L. John – Journal of the American Academy of Child & Adolescent Psychiatry, 2010
Objective: To examine the social, family background, and individual antecedents of conduct disorder (CD) and oppositional defiant disorder (ODD), the extent to which CD and ODD symptoms were predicted by common environmental risk factors, and the extent to which the antecedents of CD and ODD accounted for the comorbidity between the two disorders.…
Descriptors: Foreign Countries, Behavior Disorders, Cohort Analysis, Longitudinal Studies
Zhou, Ji – Online Submission, 2012
Using the National Longitudinal Survey of Freshmen dataset, this study examined how students' within- and between-group racial contacts mediated the change of in-group and out-group racial perceptions across White, Black, Latino, and Asian students. This study was grounded in intergroup contact theory and employed multi-trait multi-method…
Descriptors: College Freshmen, Student Attitudes, Racial Attitudes, Racial Bias
Crockett, Lisa J.; Raffaelli, Marcela; Shen, Yuh-Ling – Journal of Research on Adolescence, 2006
The linkages between self-regulation in childhood, risk proneness in early adolescence, and risky sexual behavior in mid-adolescence were examined in a cohort of children (N=518) from the National Longitudinal Survey of Youth. The possible mediating role of two early adolescent variables (substance use and negative peer pressure) was also…
Descriptors: Sexuality, Risk, Children, Early Adolescents
Mandeville, Garrett K.; Kennedy, Eugene – 1993
This paper reports the results of a study of changes in the social distribution of mathematics achievement for a cohort of public high school students. Using hierarchical linear modeling (HLM) the study sought to identify school characteristics which were significantly correlated with changes in achievement differences from grade 9 to grade 11…
Descriptors: Cohort Analysis, Comparative Analysis, Computer Software, Correlation