Measurement in the Social Sciences: The Link Between Theory and DataThis 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. |
Other editions - View all
Measurement in the Social Sciences: The Link Between Theory and Data Richard A. Zeller,Edward G. Carmines No preview available - 1980 |
Common terms and phrases
actual affection alienation alpha angle application approach approximation assessing associated causal Chapter Close clusters coefficient column common components composite computed concerns considered consistent construct validity corrected correlation matrix Crime define depends described designed differentially dimensions discussion empirical equal error variance estimate evaluation evidence examination example expressed external extracted factor analysis factor loadings Figure follows formula four given Hence higher important inclusion increases indicants inferences interpretation less mean measure method artifact Moreover negative observed parameters particular Personal Political positive possible presented presented in Table problem procedure proportion random error relationship relevant reliability represent researcher respective response set rotation scale scores self-esteem set of indicants shown single social sciences specific statistical structure suggests systematic error Table theoretical concept theory true underlying variables variance wanted