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Person-Centered and Variable-Centered Approaches to Longitudinal Data

Bibliographic Data

ID23345798
AuthorsBrett Laursen (0000-0002-1642-1980, Florida Atlantic University), Brett Paul Laursen, Erika Hoff (0000-0002-5850-6958, Florida Atlantic University)
Year2006
Volume52
Issue3
Pages377-389
Publication date2006-01-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueMerrill-Palmer Quarterly (JOURNAL)
Journal identifiersISSN: 0272-930X • E-ISSN: 1535-0266
PublisherProject MUSE (PUBLISHER • US)
DOI10.1353/mpq.2006.0029
OpenAlexW1996265459
LanguageEN
Citations received305
References cited4

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 designed to demonstrate the complementary strengths of these two different approaches. The articles illustrate how the integration of person-oriented and variable-oriented approaches can lead to a more complete understanding of the processes and patterns of human development.

Data mining · Data science · Longitudinal data · Machine learning · Management science · Outcome (game theory) · Scope (computer science) · Variable (mathematics) · Variables · Advanced Statistical Modeling Techniques · Computer Science · Engineering · Mathematics · Psychological and Temporal Perspectives Research · Psychology

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Unique citing works305
Citations per year16,05
Citation span2007 - 2026 (20)
Citation velocitycurrent
Highly citedYes
Citation typesNeutral: 285

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