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008			040517s2004 dcu b 000 0 eng d
010			_a 2003022596
020			_a1591470935
020			_a9781591470939
035			_a(ATU)b11315775
035			_a(OCoLC)53231224
040			_aDLC _beng _erda _cDLC _dEYE _dCLU _dP#O _dBAKER _dNLGGC _dUKM _dBTCTA _dLVB _dYDXCP _dATU
042			_apcc
050	0	0	_aBF39.2.F32 _bT48 2004
082	0	0	_a150.15195354 _222
100	1		_aThompson, Bruce, _d1951- _eauthor. _9435249
245	1	0	_aExploratory and confirmatory factor analysis : _bunderstanding concepts and applications / _cBruce Thompson.
250			_aFirst edition.
264		1	_aWashington, DC : _bAmerican Psychological Association, _c[2004]
264		4	_c©2004
300			_ax, 195 pages ; _c26 cm
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
504			_aIncludes bibliographical references (pages 183-190).
505	0		_aPreface -- Chap. 1. Introduction to Factor Analysis -- Chap. 2. Foundational Concepts -- Chap. 3. EFA Decision Sequence -- Chap. 4. Components versus Factors Controversies -- Chap. 5. Comparisons of Some Extraction, Rotation, and Score Methods -- Chap. 6. Oblique Rotations and Higher-order Factors -- Chap. 7. Six Two-mode Techniques -- Chap. 8. Confirmatory Rotation and Factor Interpretation Issues -- Chap. 9. Internal Replicability Analyses -- Chap. 10. CFA Decision Sequence -- Chap. 11. Some CFA Interpretation Principles -- Chap. 12. Testing Model Invariance -- Appendix A: LibQUAL+TM Data -- Appendix B: SPSS Syntax to Execute a "Best Fit" Factor Rotation -- Notation -- Glossary -- References -- Index -- About the author.
520			_aThis book presents the important concepts required for implementing two disciplines of factor analysis -- exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) with an emphasis on EFA/CFA linkages. Modern extensions of older data analysis methods (e.g., ANOVA, regression, MANOVA, and descriptive discriminant analysis) have brought theory-testing procedures to the analytic forefront. Variations of factor analysis, such as the factoring of people or time, have great potential to inform psychological research. The author presents highly technical material in an appealing and accessible manner. The book is unique in that it presents both exploratory and confirmatory methods within the single category of the general linear model (GLM). Canons of best factor analytic practice are presented and explained. An actual data set, generated by 100 graduate students and 100 faculty from the United States and Canada, is used throughout the book, allowing readers to replicate reported results and explore variations on reported analyses. Different combinations of these variables and participants are used to illustrate EFA and CFA applications. The book also includes a glossary, a notation summary, and various SPSS syntax files that readers may use to implement elegant factor analytic solutions.
588			_aMachine converted from AACR2 source record.
650		0	_aFactor analysis _vTextbooks _9734466
650		2	_aFactor Analysis, Statistical _9359128
907			_a.b11315775 _b20-03-18 _c27-10-15
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999			_c1182751 _d1182751