Advances in dynamic factor analysis of psychological processes

Peter C.M. Molenaar; Nilam Ram

doi:10.1007/978-0-387-95922-1_12

Advances in dynamic factor analysis of psychological processes

Peter C.M. Molenaar, Nilam Ram

Research output: Chapter in Book/Report/Conference proceeding › Chapter

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Abstract

The currently dominant, myopic approach to statistical analysis in psychology is based on analysis of inter-individual variation. Differences between subjects drawn from a population of subjects provide the information to make inferences about states of affairs at the population level. For instance, the factor structure of a personality test is determined by drawing a random sample of subjects from the population of interest, estimating the item correlation matrix by pooling across the scores of sampled subjects, and generalizing the results of the ensuing factor analysis to the population of subjects.

Original language	English (US)
Title of host publication	Dynamic Process Methodology in the Social and Developmental Sciences
Publisher	Springer US
Pages	255-268
Number of pages	14
ISBN (Print)	9780387959214
DOIs	https://doi.org/10.1007/978-0-387-95922-1_12
State	Published - 2009

All Science Journal Classification (ASJC) codes

Psychology(all)

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10.1007/978-0-387-95922-1_12

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ER -

Advances in dynamic factor analysis of psychological processes

Abstract

All Science Journal Classification (ASJC) codes

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