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Direct linkGniewosz, 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
Lensing, Nele; Elsner, Birgit – International Journal of Behavioral Development, 2019
Executive functions (EFs) may help children to regulate their food-intake in an "obesogenic" environment, where energy-dense food is easily available. There is mounting evidence that overweight is associated with diminished hot and cool EFs, and several longitudinal studies found evidence for a predictive effect of hot EFs on children's…
Descriptors: Executive Function, Elementary School Students, Food, Eating Habits
Arens, A. Katrin; Morin, Alexandre J. S. – American Educational Research Journal, 2017
This study illustrates an integrative psychometric framework to investigate two sources of construct-relevant multidimensionality in answers to the Self-Perception Profile for Children (SPPC). Using a sample of 2,353 German students attending Grades 3 to 6, we contrasted: (a) first-order versus hierarchical and bifactor models to investigate…
Descriptors: Self Concept, Structural Equation Models, Factor Analysis, Error of Measurement
Pakpahan, Eduwin; Hoffmann, Rasmus; Kröger, Hannes – International Journal of Social Research Methodology, 2017
We present three statistical methods for causal analysis in life course research that are able to take into account the order of events and their possible causal relationship: a cross-lagged model, a latent growth model (LGM), and a synthesis of the two, an autoregressive latent trajectories model (ALT). We apply them to a highly relevant…
Descriptors: Causal Models, Socioeconomic Status, Structural Equation Models, Health
Arens, A. Katrin; Morin, Alexandre J. S. – Journal of Experimental Education, 2016
This study is a substantive-methodological synergy in which exploratory structural equation modeling is applied to investigate the factor structure of multidimensional self-concept instruments. On the basis of a sample of German students (N = 1958) who completed the Self-Description Questionnaire I and the Self-Perception Profile for Children, the…
Descriptors: Foreign Countries, Self Concept Measures, Structural Equation Models, Factor Structure
Glockner-Rist, Angelika; Pedersen, Anya; Rist, Fred – Journal of Attention Disorders, 2013
Objective: Adult "Diagnostic and Statistical Manual of Mental Disorders" (4th ed.; "DSM-IV") and retrospective childhood Wender-Utah ADHD criteria are implemented in self-report measures to assess adult ADHD and its required onset in childhood. Yet their dimensional structure and relationship to adult ADHD depressivity is still…
Descriptors: Symptoms (Individual Disorders), Adults, Attention Deficit Hyperactivity Disorder, Evaluation Criteria
Geiser, Christian; Lehmann, Wolfgang; Eid, Michael – Intelligence, 2008
A large number of studies have reported average performance differences in favor of males in mental rotation tasks. However, it is still unclear to what extent the magnitude of the sex differences varies across age, and whether the differences increase with age. In this study, we reanalyzed data from a cross-sectional investigation of N = 1624…
Descriptors: Gender Differences, Males, Intelligence, Age Differences
Heyl, Vera; Wahl, Hans-Werner; Mollenkopf, Heidrun – Social Indicators Research, 2005
This work examined the role of visual capacity in connection with psychological, social network related, and socio-structural predictors of out-of-home everyday functioning and emotional well-being. The results are based on a sample of 1519 community dwelling elderly (55-98 years; mean age 70.8 years), 757 of them were living in urban, and 762…
Descriptors: Foreign Countries, Older Adults, Motivation, Vision
