Measurement in the Social Sciences: The Link Between Theory and Data
This textbook is designed to bridge the gap between the theorist and the methodologist by presenting an integrated approach to measurement. By differentiating between random and systematic error, it conveys both statistical techniques and their theoretical underpinnings essential to students of sociology and political science. Rather than developing new technical methods of new theoretical structures, Professors Zeller and Carmines provide thorough explanations of the assumptions, limitations and interpretations of previously established techniques and theories. Written at a level accessible to students of social science with some statistical training, the book does not presume a sophisticated mathematical background. By concentrating on synthesizing the methodological and theoretical realms, Zeller and Carmines demonstrate why measurement considerations are important to research and how measurement principles can be most effectively applied.
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Introduction to measurement
Evaluating systematic error
Integrating reliability and validity
Costners pathanalytic approach
affection angle assessing causal Chapter classical test theory column common factor analysis common variance composite computed construct validity content validity control items Cool and Distant corrected for attenuation correlation matrix cosine Crime Fighting Cronbach's alpha crs2 define factor derivative tests designed to measure differentially dimensions of alienation Eigenvalue empirical factors empirical indicants empirical measurements epistemic correlation equal evaluation evidence expressed control external variables factor loadings factor matrix factor structure Figure FIRO-B formula intercorrelations interpretation items define iZOZ likelihood ratio test loadings on factor measurement error measurement model negative nonrandom oblique rotation omega orthogonal parameters Police Style presented in Table principal component analysis procedure random error reliability and validity reliability coefficient represent researcher response set self-esteem scale set of indicants set of items social sciences statistical substantive systematic error variance theoretical concept theoretically relevant true score true variance underlying wanted control Xa and Xb znvi znvi
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Zentralitšt und Inhalt: ein neues multidimensionales Messmodell der Religiositšt
No preview available - 2003