A first course in factor analysis
Publication details: Hillsdale Lawrence Erlbaum Associates 1992Edition: 2nd. edDescription: xii, 430 pISBN:- 9780805810622
- 519.5354
Item type | Current library | Item location | Shelving location | Call number | Status | Notes | Date due | Barcode | |
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Books | Vikram Sarabhai Library | Rack 28-B / Slot 1426 (0 Floor, East Wing) | General Stacks | 519.5354 C6F4 (Browse shelf(Opens below)) | Available | PM (29.05.2017) | 168057 |
Includes bibliographical references (p. 413-420) and indexes
The goal of this book is to foster a basic understanding of factor analytic techniques so that readers can use them in their own research and critically evaluate their use by other researchers. Both the underlying theory and correct application are emphasized. The theory is presented through the mathematical basis of the most common factor analytic models and several methods used in factor analysis. On the application side, considerable attention is given to the extraction problem, the rotation problem, and the interpretation of factor analytic results. Hence, readers are given a background of understanding in the the theory underlying factor analysis and then taken through the steps in executing a proper analysis -- from the initial problem of design through choice of correlation coefficient, factor extraction, factor rotation, factor interpretation, and writing up results.This revised edition includes introductions to newer methods -- such as confirmatory factor analysis and structural equation modeling -- that have revolutionized factor analysis in recent years. To help remove some of the mystery underlying these newer, more complex methods, the introductory examples utilize EQS and LISREL. Updated material relating to the validation of the Comrey Personality Scales also has been added. Finally, program disks for running factor analyses on either an IBM-compatible PC or a mainframe with FORTRAN capabilities are available. The intended audience for this volume includes talented but mathematically unsophisticated advanced undergraduates, graduate students, and research workers seeking to acquire a basic understanding of the principles supporting factor analysis. (Source: from LOC Publishers description)
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