Person-Centered and Variable-Centered Approaches to Longitudinal Data
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Abstract
As the number and scope of longitudinal investigations have expanded, so too have strategies for analyzing prospective data. Different analytic techniques are designed to answer different types of research questions. Person-centered approaches identify groups of individuals who share particular attributes or relations among attributes. They are well suited for addressing questions that concern group differences in patterns of development. Variable-centered approaches describe associations between variables. They are well suited for addressing questions that concern the relative contributions that predictor variables make to an outcome. This special issue includes conceptual essays and empirical reports…
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Keywords
- Scope (computer science)
- Variable (mathematics)
- Data science
- Computer science
- Variables
- Outcome (game theory)
- Longitudinal data
- Psychology
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