Please use this identifier to cite or link to this item: 192.168.6.56/handle/123456789/5892
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dc.contributor.authorDonna, Harrington-
dc.date.accessioned2018-10-02T06:05:29Z-
dc.date.available2018-10-02T06:05:29Z-
dc.date.issued2009-
dc.identifier.isbn978-0-19-533988-8-
dc.identifier.urihttp://10.6.20.12:80/handle/123456789/5892-
dc.descriptionThis chapter focuses on what CFA is, when to use it, and how it compares to other common data analysis techniques, including principal components analysis (PCA), exploratory factor analysis (EFA), and structural equation modeling (SEM). This is a brief discussion, with references to other publications for more detail on the other techniques. The social work literature includes a number of good examples of the use of CFA, and a few of these articles are briefl y summarized to illustrate how CFA can be used. Research on Social Work Practice publishes numerous articles that examine the validity of social work assessments and measures; several of these articles use CFA and are cited as examples in this book-
dc.languageenen_US
dc.language.isoenen_US
dc.publisherOxforden_US
dc.subjectSocial service—Researchen_US
dc.titleConfi Rmatory Factor Analysisen_US
dc.typeBooken_US
Appears in Collections:Social Work

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