Measurement, Design, and Analysis: An Integrated ApproachIn textbooks and courses in statistics, substantive and measurement issues are rarely, if at all, considered. Similarly, textbooks and courses in measurement virtually ignore design and analytic questions, and research design textbooks and courses pay little attention to analytic and measurement issues. This fragmentary approach fosters a lack of appreciation of the interrelations and interdependencies among the various aspects of the research endeavor. Pedhazur and Schmelkin's goal is to help readers become proficient in these aspects of research and their interrelationships, and to use that information in a more integrated manner. The authors offer extensive commentaries on inputs and outputs of computer programs in the context of the topics presented. Both the organization of the book and the style of presentation allow for much flexibility in choice, sequence, and degree of sophistication with which topics are dealt. |
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analytic approaches ANOVA applied assigned assume calculated categorical variable coded vectors columns Commentary comparisons concepts consisting construct construct validation context correlation matrix covariance covariance matrix data of Table default definition dependent discussed dummy coding earlier elements equal estimates experimental F ratio factor analysis given groups illustrative independent variables indicators input interaction interpretation issues latent variables LISREL manipulation meaningful means measurement mental ability methods MINITAB nonexperimental Note null hypothesis numerical example observed obtained one’s orthogonal output parameter Pedhazur pointed predicted pretest problems proportion of variance question random referred reflect regression analysis regression coefficients regression equation relation relevant reliability reported residuals role sample scale scores selection significant simple random sampling sociobehavioral research sociobehavioral sciences specific SPSS standard deviations standard error statement statistically significant studentized residuals subjects substantive sum of squares term theoretical theory tion topic traits treatment validity values whereas