ISBN: 9781462549030 - introduction to mediation, moderation, and conditional process analysis, third edition: a regression-based approach (methodology in the social sciences) (33 resultados)

hardcover. Condición: Very Good.

Hardcover. Condición: Very Good. Third. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

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hardcover. Condición: Good. **GOOD***Contains some Highlights, Writings, and Underlines. Legible and in good shape. Minor to slightly heavy wears on cover from warehouse shelves. (Used so may not contain codes/CDs/Inserts that is included with the book.).

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Condición: New.

Hardcover. Condición: New. Third. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).

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Hardcover. Condición: New. Brand new book, sourced directly from publisher. Dispatch time is 6-7 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.

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Condición: New.

Hardcover. Condición: New. Brand new book, sourced directly from publisher. Dispatch time is 24-48 hours from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Hardcover. Condición: new. Hardcover. Acclaimed for its thorough presentation of mediation, moderation, and conditional process analysis, this book has been updated to reflect the latest developments in PROCESS for SPSS, SAS, and, new to this edition, R. Using the principles of ordinary least squares regression, Andrew F. Hayes illustrates each step in an analysis using diverse examples from published studies, and displays SPSS, SAS, and R code for each example. Procedures are outlined for estimating and interpreting direct, indirect, and conditional effects; probing and visualizing interactions; testing hypotheses about the moderation of mechanisms; and reporting different types of analyses. Readers gain an understanding of the link between statistics and causality, as well as what the data are telling them. The companion website () provides data for all the examples, plus the free PROCESS download. New to This Edition Rewritten Appendix A, which provides the only documentation of PROCESS, including a discussion of the syntax structure of PROCESS for R compared to SPSS and SAS. Expanded discussion of effect scaling and the difference between unstandardized, completely standardized, and partially standardized effects. Discussion of the meaning of and how to generate the correlation between mediator residuals in a multiple-mediator model, using a new PROCESS option. Discussion of a method for comparing the strength of two specific indirect effects that are different in sign. Introduction of a bootstrap-based JohnsonNeyman-like approach for probing moderation of mediation in a conditional process model. Discussion of testing for interaction between a causal antecedent variable [ital]X[/ital] and a mediator [ital]M[/ital] in a mediation analysis, and how to test this assumption in a new PROCESS feature. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condición: New.

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: New. 2022. 3rd Edition. Hardcover. . . . . .

Condición: New. In English.

Condición: NEW.

Condición: New.

Hardcover. Condición: Brand New. 3rd edition. 732 pages. 10.00x7.00x1.25 inches. In Stock.

Hardcover. Condición: new. Hardcover. Acclaimed for its thorough presentation of mediation, moderation, and conditional process analysis, this book has been updated to reflect the latest developments in PROCESS for SPSS, SAS, and, new to this edition, R. Using the principles of ordinary least squares regression, Andrew F. Hayes illustrates each step in an analysis using diverse examples from published studies, and displays SPSS, SAS, and R code for each example. Procedures are outlined for estimating and interpreting direct, indirect, and conditional effects; probing and visualizing interactions; testing hypotheses about the moderation of mechanisms; and reporting different types of analyses. Readers gain an understanding of the link between statistics and causality, as well as what the data are telling them. The companion website () provides data for all the examples, plus the free PROCESS download. New to This Edition Rewritten Appendix A, which provides the only documentation of PROCESS, including a discussion of the syntax structure of PROCESS for R compared to SPSS and SAS. Expanded discussion of effect scaling and the difference between unstandardized, completely standardized, and partially standardized effects. Discussion of the meaning of and how to generate the correlation between mediator residuals in a multiple-mediator model, using a new PROCESS option. Discussion of a method for comparing the strength of two specific indirect effects that are different in sign. Introduction of a bootstrap-based JohnsonNeyman-like approach for probing moderation of mediation in a conditional process model. Discussion of testing for interaction between a causal antecedent variable [ital]X[/ital] and a mediator [ital]M[/ital] in a mediation analysis, and how to test this assumption in a new PROCESS feature. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Condición: New.

Condición: New. 2022. 3rd Edition. Hardcover. . . . . . Books ship from the US and Ireland.

Condición: New. Andrew F. Hayes, PhD, is Distinguished Research Professor at the Haskayne School of Business at the University of Calgary, Alberta, Canada. His research and writing on data analysis has been published widely, and he is the author of Introduction to Me.

Hardcover. Condición: Brand New. 3rd edition. 732 pages. 10.00x7.00x1.25 inches. In Stock.

Buch. Condición: Neu. Neuware.