Measurement Theory and Applications for the Social Sciences by Deborah L. Bandalos

Which types of validity evidence should be considered when determining whether a 
scale is appropriate for a given measurement situation? 
What about reliability evidence? Using clear explanations illustrated by examples 
from across the social and behavioral sciences, this engaging text prepares students 
to make effective decisions about the selection, administration, scoring, interpretation, 
and development of measurement instruments. Coverage includes the essential measurement topics of scale development, 
item writing and analysis, and reliability and validity, as well as more advanced topics such as exploratory and 
confirmatory factor analysis, item response theory, diagnostic classification models, test bias and fairness, 
standard setting, and equating. End-of-chapter exercises (with answers) emphasize both computations and conceptual 
understanding to encourage readers to think critically about the material. 
The companion website  provides annotated examples, 
syntax, and datasets in both SPSS and SAS (for most chapters), so that readers can redo the analyses in each chapter.