Lingua: Inglese
Editore: American Psychological Association, 2014
ISBN 10: 1433817152 ISBN 13: 9781433817151
Da: Griffin Books, Stamford, CT, U.S.A.
hardcover. Condizione: Very Good. Looks new but has one sentence highlighted. Please email for photos. Larger books or sets may require additional shipping charges. Books sent via US Postal.
Da: Revaluation Books, Exeter, Regno Unito
EUR 89,30
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 1st edition. 426 pages. 10.50x7.50x1.25 inches. In Stock.
Lingua: Inglese
Editore: American Psychological Association, US, 2014
ISBN 10: 1433817152 ISBN 13: 9781433817151
Da: Rarewaves.com USA, London, LONDO, Regno Unito
Prima edizione
EUR 109,52
Quantità: 1 disponibili
Aggiungi al carrelloHardback. Condizione: New. 1st. When determining the most appropriate method for analyzing longitudinal data, you must first consider what research question you want to answer. In this book, McArdle and Nesselroade identify five basic purposes of longitudinal structural equation modeling. For each purpose, they present the most useful strategies and models. Two important but underused approaches are emphasized: multiple factorial invariance over time and latent change scores. The book covers a wealth of models in a straightforward, understandable manner. Rather than overwhelm the reader with an extensive amount of algebra, the authors use path diagrams and emphasize methods that are appropriate for many uses.
Lingua: Inglese
Editore: American Psychological Association, 2014
ISBN 10: 1433817152 ISBN 13: 9781433817151
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Prima edizione
EUR 96,96
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New. The authors identify five basic purposes of longitudinal structural equation modeling. For each purpose, they present the most useful strategies and models. Two important but underused approaches are emphasized: multiple factorial invariance over time and latent change scores. Num Pages: 424 pages. BIC Classification: JMBT. Category: (G) General (US: Trade). Dimension: 229 x 152 x 28. Weight in Grams: 939. . 2014. 1st Edition. Hardcover. . . . .
Lingua: Inglese
Editore: American Psychological Association, 2014
ISBN 10: 1433817152 ISBN 13: 9781433817151
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 95,34
Quantità: 2 disponibili
Aggiungi al carrelloHardback. Condizione: New. New copy - Usually dispatched within 4 working days.
Lingua: Inglese
Editore: American Psychological Assoc, 2014
ISBN 10: 1433817152 ISBN 13: 9781433817151
Da: Anybook.com, Lincoln, Regno Unito
EUR 88,07
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1000grams, ISBN:9781433817151.
Lingua: Inglese
Editore: American Psychological Association, 2014
ISBN 10: 1433817152 ISBN 13: 9781433817151
Da: Kennys Bookstore, Olney, MD, U.S.A.
Condizione: New. The authors identify five basic purposes of longitudinal structural equation modeling. For each purpose, they present the most useful strategies and models. Two important but underused approaches are emphasized: multiple factorial invariance over time and latent change scores. Num Pages: 424 pages. BIC Classification: JMBT. Category: (G) General (US: Trade). Dimension: 229 x 152 x 28. Weight in Grams: 939. . 2014. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.
Lingua: Inglese
Editore: American Psychological Association, US, 2014
ISBN 10: 1433817152 ISBN 13: 9781433817151
Da: Rarewaves.com UK, London, Regno Unito
Prima edizione
EUR 103,06
Quantità: 1 disponibili
Aggiungi al carrelloHardback. Condizione: New. 1st. When determining the most appropriate method for analyzing longitudinal data, you must first consider what research question you want to answer. In this book, McArdle and Nesselroade identify five basic purposes of longitudinal structural equation modeling. For each purpose, they present the most useful strategies and models. Two important but underused approaches are emphasized: multiple factorial invariance over time and latent change scores. The book covers a wealth of models in a straightforward, understandable manner. Rather than overwhelm the reader with an extensive amount of algebra, the authors use path diagrams and emphasize methods that are appropriate for many uses.