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Description du livre Hardcover. Etat : new. N° de réf. du vendeur 9781462547746
Description du livre hardback. Etat : New. Language: ENG. N° de réf. du vendeur 9781462547746
Description du livre Etat : New. N° de réf. du vendeur 42808948-n
Description du livre Etat : New. N° de réf. du vendeur 26384643299
Description du livre Etat : New. N° de réf. du vendeur 42808948-n
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Description du livre Etat : New. New! This book is in the same immaculate condition as when it was published 2.44. N° de réf. du vendeur 353-1462547745-new
Description du livre Hardcover. Etat : new. Hardcover. This book offers researchers a systematic and accessible introduction to using a Bayesian framework in structural equation modeling (SEM). Stand-alone chapters on each SEM model clearly explain the Bayesian form of the model and walk the reader through implementation. Engaging worked-through examples from diverse social science subfields illustrate the various modeling techniques, highlighting statistical or estimation problems that are likely to arise and describing potential solutions. For each model, instructions are provided for writing up findings for publication, including annotated sample data analysis plans and results sections. Other user-friendly features in every chapter include "Major Take-Home Points," notation glossaries, annotated suggestions for further reading, and sample code in both Mplus and R. The companion website () supplies data sets; annotated code for implementation in both Mplus and R, so that users can work within their preferred platform; and output for all of the books examples. This book offers researchers a systematic, accessible introduction to using a Bayesian framework in SEM. Chapters on each SEM model explain the Bayesian form of the model and walk readers through implementation. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781462547746
Description du livre Etat : New. N° de réf. du vendeur 379227964