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Confirmatory factor analysis for app...
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Brown, Timothy A., (1960-)
Confirmatory factor analysis for applied research /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Confirmatory factor analysis for applied research /Timothy A. Brown.
作者:
Brown, Timothy A.,
出版者:
New York :Guilford Press,c2006.
面頁冊數:
xviii, 475 p. :ill. ;24 cm.
叢書名:
Methodology in the social sciences
標題:
Factor analysis.
電子資源:
http://www.loc.gov/catdir/toc/ecip066/2006001103.html
電子資源:
http://www.loc.gov/catdir/enhancements/fy0629/2006001103-b.html
ISBN:
1593852746 (pbk.)
Confirmatory factor analysis for applied research /
Brown, Timothy A.,1960-
Confirmatory factor analysis for applied research /
Timothy A. Brown. - New York :Guilford Press,c2006. - xviii, 475 p. :ill. ;24 cm. - Methodology in the social sciences.
Includes bibliographical references (p. 439-454) and indexes.
Introduction -- The common factor model and exploratory factor analysis -- Introduction to CFA -- Specification and interpretation of CFA models -- CFA model revision and comparison -- CFA of multitrait-multimethod matrices -- CFA with equality constraints, multiple groups, and mean structures -- Other types of CFA models : higher-order factor analysis, scale reliability evaluation, and formative indicators -- Data issues in CFA : missing, non-normal, and categorical data -- Statistical power and sample size.
ISBN: 1593852746 (pbk.)
LCCN: 2006001103
Nat. Bib. No.: GBA625663bnb
Nat. Bib. Agency Control No.: 013409293UkSubjects--Topical Terms:
182051
Factor analysis.
LC Class. No.: BF39.2.F32 / B76 2006
Dewey Class. No.: 150.1/5195354
Confirmatory factor analysis for applied research /
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Confirmatory factor analysis for applied research /
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xviii, 475 p. :
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24 cm.
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Methodology in the social sciences
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Introduction -- The common factor model and exploratory factor analysis -- Introduction to CFA -- Specification and interpretation of CFA models -- CFA model revision and comparison -- CFA of multitrait-multimethod matrices -- CFA with equality constraints, multiple groups, and mean structures -- Other types of CFA models : higher-order factor analysis, scale reliability evaluation, and formative indicators -- Data issues in CFA : missing, non-normal, and categorical data -- Statistical power and sample size.
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