Using a few snapshots to distinguish mountains from waves
| Autor: | Hamaker, E.L., Schuurman, N.K., Zijlmans, Eva, Leerstoel Hoijtink, Methodology and statistics for the behavioural and social sciences |
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| Přispěvatelé: | Department of Methodology and Statistics, Leerstoel Hoijtink, Methodology and statistics for the behavioural and social sciences |
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Statistics and Probability
Male Personality Tests 050103 clinical psychology Empirical data Time Factors Adolescent longitudinal data analysis trait-state distinction Experimental and Cognitive Psychology Context (language use) 0504 sociology Arts and Humanities (miscellaneous) Econometrics Humans 0501 psychology and cognitive sciences Longitudinal Studies multilevel modeling Mathematics Factor analysis Factorial invariance Aged 80 and over Analysis of Variance Models Statistical Depression 05 social sciences Multilevel model 050401 social sciences methods General Medicine Variance (accounting) State (functional analysis) Cross-Sectional Studies Data Interpretation Statistical Trait Multilevel Analysis Regression Analysis Female Factor Analysis Statistical within-person versus between-person Algorithms Personality |
| Zdroj: | Multivariate Behavioral Research, 52(1), 47. Psychology Press Ltd Multivariate Behavioral Research, 52(1), 47-60. ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD |
| ISSN: | 0027-3171 |
| Popis: | In this article, we show that the underlying dimensions obtained when factor analyzing cross-sectional data actually form a mix of within-person state dimensions and between-person trait dimensions. We propose a factor analytical model that distinguishes between four independent sources of variance: common trait, unique trait, common state, and unique state. We show that by testing whether there is weak factorial invariance across the trait and state factor structures, we can tackle the fundamental question first raised by Cattell; that is, are within-person state dimensions qualitatively the same as between-person trait dimensions? Furthermore, we discuss how this model is related to other trait-state factor models, and we illustrate its use with two empirical data sets. We end by discussing the implications for cross-sectional factor analysis and suggest potential future developments. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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