"The use of multiple raters can improve the validity of conclusions made on self- (and other) reports of emotions, attitudes, goals, and self-perceptions of personality. Yet analyzing these ratings requires special psychometric models that take into account the specific nature of these data. Fr...

Ausführliche Beschreibung

Bibliographische Detailangaben

1. Verfasser:	Eid, Michael 1963- (VerfasserIn)
Format:	Buch
Sprache:	English
Veröffentlicht:	New York The Guilford Press [2025]
Schriftenreihe:	Methodology in the social sciences
Schlagworte:	Psychometrics / Methodology Structural equation modeling Self-report inventories / Evaluation Psychométrie / Méthodologie Modèles d'équations structurales Auto-évaluation / Tests / Évaluation SOCIAL SCIENCE / Research PSYCHOLOGY / Personality
Zusammenfassung:	"The use of multiple raters can improve the validity of conclusions made on self- (and other) reports of emotions, attitudes, goals, and self-perceptions of personality. Yet analyzing these ratings requires special psychometric models that take into account the specific nature of these data. 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 the choice of a model should be guided by measurement design and purpose. Practical recommendations are provided for selecting suitable measurement designs, raters, and psychometric models. Models for different combinations of rater types and for cross-sectional as well as longitudinal research designs are described step by step, with a strong emphasis on the substantive meaning of the latent variables in the models. User-friendly features include equation boxes, application boxes, and a companion website with Mplus and R lavaan code for the book's examples"-- "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"--
Beschreibung:	2410
Beschreibung:	XVII, 358 Seiten Diagramme
ISBN:	9781462555710 1462555713