Using Multilevel Factor Analysis with Clustered Data: Investigating the Factor Structure of the Positive Values Scale

Autor/inn/en	Huang, Francis L.; Cornell, Dewey G.
Titel	Using Multilevel Factor Analysis with Clustered Data: Investigating the Factor Structure of the Positive Values Scale
Quelle	In: Journal of Psychoeducational Assessment, 34 (2016) 1, S.3-14 (12 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0734-2829
DOI	10.1177/0734282915570278
Schlagwörter	Hierarchical Linear Modeling; Factor Analysis; Factor Structure; Measures (Individuals); Middle School Students; Educational Environment; Values; Student Surveys; Psychometrics; Data; Grade 7; Grade 8; Virginia + Suchen Sie Ihr Suchwort? Faktorenanalyse; Faktorenstruktur; Messdaten; Middle school; Middle schools; Student; Students; Mittelschule; Mittelstufenschule; Schüler; Schülerin; Lernumgebung; Pädagogische Umwelt; Schulumwelt; Wertbegriff; Schülerbefragung; Psychometry; Psychometrie; Daten; School year 07; 7. Schuljahr; Schuljahr 07; School year 08; 8. Schuljahr; Schuljahr 08
Abstract	Advances in multilevel modeling techniques now make it possible to investigate the psychometric properties of instruments using clustered data. Factor models that overlook the clustering effect can lead to underestimated standard errors, incorrect parameter estimates, and model fit indices. In addition, factor structures may differ depending on the level of analysis. The current study illustrates the application of multilevel factor analytic techniques using a large statewide sample of middle school students (n = 39,364) from 423 schools. Both multilevel exploratory and confirmatory factor analyses were used to investigate the factor structure of the Positive Values Scale (PVS) as part of a school climate survey. Results showed that for the PVS, a two-correlated factor model at Level 1 and a one-factor model at Level 2 best fit the data. Implications and guidance for applied researchers are discussed. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01