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100   $a20230701d2013      uy             0
101 0 $aeng
135   $aur|||||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aFactor analysis /$fSuitbert Ertel
210  1$aGo?ttingen :$cUniversita?tsverlag Go?ttingen,$d2013.
210  4$dİ2013
215   $a1 online resource (448 pages)
320   $aIncludes bibliographical references and index.
327   $aContents: Preface. Preface to the First Edition. Introduction. Basic Factor Models. Matrix Algebra and Factor Analysis. Geometric Representation of Factor Models. Diagonal and Multiple-Group Analysis. Principle Factor Solutions. Confirmatory Maximum Likelihood Solutions. Determining the Number of Factors. Rotation and Interpretation of Factors. Rotation. Higher-Order Factors. Factor Scores. Relating Factors Across Studies. Data Transformations and Indices of Association. Two- and Three-Mode Factor Analysis. The Replication and Invariance of Factors. Factor Analysis as a Research Technique. Epilogue. Appendices: Data for Examples. Computer Programs for Factor Analysis. Accuracy of Computer Processing.
330   $aComprehensive and comprehensible, this classic covers the basic and advanced topics essential for using factor analysis as a scientific tool in psychology, education, sociology, and related areas. Emphasizing the usefulness of the techniques, it presents sufficient mathematical background for understanding and sufficient discussion of applications for effective use. This includes not only theory but also the empirical evaluations of the importance of mathematical distinctions for applied scientific analysis.
606   $aFactor analysis
615  0$aFactor analysis.
676   $a519.5354
700   $aErtel$b Suitbert$0801044
801  0$bNjHacI
801  1$bNjHacl
906   $aBOOK
912   $a996532958103316
996   $aFactor analysis$92083341
997   $aUNISA