"The use of multiple raters can improve the validity of self- (and other) reports of emotions, attitudes, goals, and other constructs. Yet analyzing these ratings requires special psychometric models. From leading authorities, this book offers the first comprehensive introduction to structural equation modeling (SEM) of multiple rater data. Rather than taking a one-size-fits-all approach, the book shows how model choice should be guided by measurement design and purpose. Models for different combinations of rater types and ...
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"The use of multiple raters can improve the validity of self- (and other) reports of emotions, attitudes, goals, and other constructs. Yet analyzing these ratings requires special psychometric models. From leading authorities, this book offers the first comprehensive introduction to structural equation modeling (SEM) of multiple rater data. Rather than taking a one-size-fits-all approach, the book shows how model choice should be guided by measurement design and purpose. Models for different combinations of rater types and for cross-sectional as well as longitudinal research designs are described step by step. The companion website provides Mplus and R lavaan code for the book's examples"--
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