Da: Books From California, Simi Valley, CA, U.S.A.
hardcover. Condizione: Very Good. Cover and edges may have some wear.
Da: Books From California, Simi Valley, CA, U.S.A.
hardcover. Condizione: Fine.
EUR 70,39
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Da: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
Condizione: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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EUR 80,06
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Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. 1st edition NO-PA16APR2015-KAP.
Lingua: Inglese
Editore: Guilford Publications, New York, 2024
ISBN 10: 1462555713 ISBN 13: 9781462555710
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condizione: new. Hardcover. 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 lavaan code for the books examples. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Da: Majestic Books, Hounslow, Regno Unito
EUR 80,41
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Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 78,74
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 74,93
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 80,75
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EUR 95,89
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Aggiungi al carrelloHardcover. Condizione: Brand New. 352 pages. 10.00x7.00x10.00 inches. In Stock.
EUR 96,76
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Aggiungi al carrelloHardback. Condizione: New. New copy - Usually dispatched within 4 working days.
Lingua: Inglese
Editore: Guilford Publications, New York, 2024
ISBN 10: 1462555713 ISBN 13: 9781462555710
Da: CitiRetail, Stevenage, Regno Unito
EUR 79,94
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: new. Hardcover. 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 lavaan code for the books examples. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Da: UK BOOKS STORE, London, LONDO, Regno Unito
EUR 130,29
Quantità: 3 disponibili
Aggiungi al carrelloHardcover. Condizione: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
EUR 82,21
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Aggiungi al carrelloCondizione: New. Michael Eid, PhD, is Professor of Methods and Evaluation at the Free University of Berlin in Germany. His research focuses on measurement theory, in particular on the development of psychometric models for longitudinal and multimethod research. Since the.
Lingua: Inglese
Editore: Guilford Publications, New York, 2024
ISBN 10: 1462555713 ISBN 13: 9781462555710
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 134,73
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: new. Hardcover. 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 lavaan code for the books examples. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.