How to model intraindividual change in cohort data using Mplus’ multi-group approach
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 betwee...
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| Veröffentlicht in: | International journal of behavioral development 2018-05, Vol.42 (3), p.373-380 |
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| container_title | International journal of behavioral development |
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| creator | Gniewosz, Burkhard Gniewosz, Gabriela |
| description | 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 predicted by gender. The example data stems from a large German cohort sequential study and comprises 806 children in three birth cohorts (2001, 2000, 1999). Finally, the advantages and disadvantages of this modelling approach are discussed. Annotated syntax is provided online for the models. |
| doi_str_mv | 10.1177/0165025417750282 |
| format | Article |
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| ispartof | International journal of behavioral development, 2018-05, Vol.42 (3), p.373-380 |
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| language | eng |
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| source | Applied Social Sciences Index & Abstracts (ASSIA); SAGE Complete A-Z List |
| subjects | Age Groups Behavior change Behavior Problems Child Behavior Childbirth & labor Children Cohort Analysis Data Data Collection Foreign Countries Gender Differences Internalization Longitudinal Studies Predictor Variables Questionnaires Screening Tests Structural Equation Models Student Surveys Syntax |
| title | How to model intraindividual change in cohort data using Mplus’ multi-group approach |
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