6 edition of **Regression Analysis for Categorical Moderators (Methodology In The Social Sciences)** found in the catalog.

- 324 Want to read
- 28 Currently reading

Published
**December 23, 2003**
by The Guilford Press
.

Written in English

- Probability & statistics,
- Social sciences,
- Mathematics,
- Psychology,
- Statistical methods,
- Mathematical Analysis,
- Social Science / Methodology,
- Computer programs,
- Data processing,
- Regression analysis

The Physical Object | |
---|---|

Format | Hardcover |

Number of Pages | 202 |

ID Numbers | |

Open Library | OL8734504M |

ISBN 10 | 1572309695 |

ISBN 10 | 9781572309692 |

The specification and interpretation of interactions is one of the more confusing and problematic areas of regression analysis. Two variables X and W interact in explaining some outcome Y if the effect of X on Y depends on the value of W. Interaction is also called X’s effect on Y depends on W, then W is a moderator of the effect of X on Y. categorical data analysis •(regression models:) response/dependent variable is a categorical variable – probit/logistic regression – multinomial regression – ordinal logit/probit regression – Poisson regression – generalized linear (mixed) models •all (dependent) variables are categorical (contingency tables, loglinear anal-ysis.

Central Authentication Service - CAS. Login required. You may establish Yale authentication now in order to access protected services later. The Methodology in the Social Sciences book series by multiple authors includes books Regression Analysis for Categorical Moderators (Methodology In The Social Sciences), Missing Data: A Gentle Introduction, A Primer on Regression Artifacts, and several more.

Regression Analysis for Categorical Moderators by Herman Aguinis Nonlinear Regression by G. A. F. Seber and C. J. Wild Semiparametric Regression by David Ruppert, M. P. Wand and R. J. Carroll. In linear regression with categorical variables you should be careful of the Dummy Variable Trap. The Dummy Variable trap is a scenario in which the independent variables are multicollinear - a scenario in which two or more variables are highly correlated; in simple .

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"Aguinis has produced the most comprehensive single-source treatment on the topic of why and how to conduct moderated regression analysis for categorical moderators. The book presents very clear steps for how to test for moderators, but is more than a cookbook in that it also explores in detail the underlying assumptions; issues that will Cited by: "Aguinis has produced the most comprehensive single-source treatment on the topic of why and how to conduct moderated regression analysis for categorical moderators.

The book presents very clear steps for how to test for moderators, but is more than a cookbook in that it also explores in detail the underlying assumptions; issues that will. Regression Analysis for Categorical Moderators book.

Read reviews from world’s largest community for readers. Does the stability of personality vary by g /5(3). PDF | On Jan 1,G. Lautenschlager published Book Review: Regression Analysis for Categorical Moderators | Find, read and cite all the research you need on ResearchGate.

Request PDF | On Jan 1,Herman Aguinis published Regression Analysis for Categorical Moderators | Find, read and cite all the research you need on ResearchGateAuthor: Herman Aguinis.

regression analysis for categorical moderators Download regression analysis for categorical moderators or read online books in PDF, EPUB, Tuebl, and Mobi Format. Click Download or Read Online button to get regression analysis for categorical moderators book now. This site is like a library, Use search box in the widget to get ebook that you.

Questions like these can be effectively answered by using a statistical tool known as moderated multiple regression (MMR).

This book provides practical guidance for using MMR to better assess whether the relationship between two quantitative variables is moderated by group membership.

Regression Analysis for Categorical Moderators. Herman. The quotations in the beginning of each chapter of Regression Analysis for Categorical Moderators. I read it from cover to cover. Indeed, Dr. Aguinis has made the term, "moderator," into a beautiful thing. "There is no statistical technique that can substitute for good thinking.".

This Web page includes resources for the book Regression Analysis for Categorical Moderators by Herman Aguinis (, Guilford Press). In case of queries, feel free to email me at [email protected] MULTIVAR. This program was used to create the data set for Chapter 3. Get this from a library.

Regression analysis for categorical moderators. [Herman Aguinis] -- This book provides practical guidance for using MMR to better assess whether the relationship between two quantitative variables is moderated by group membership.

Questions involving moderators address “when” or “for whom” a variable most strongly predicts or causes an outcome variable.

Using a path diagram, we can express the moderation effect as: How to conduct moderation analysis. Moderation analysis can be conducted by adding one or multiple interaction terms in a regression analysis.

Download Regression Analysis For Categorical Moderators in PDF and EPUB Formats for free. Regression Analysis For Categorical Moderators Book also available for Read Online, mobi, docx and mobile and kindle reading.

Download Regression Analysis For Categorical Moderators Methodology In The Social Sciences in PDF and EPUB Formats for free. Regression Analysis For Categorical Moderators Methodology In The Social Sciences Book also available for Read Online, mobi, docx and mobile and kindle reading.

Regression Analysis for Categorical Moderators | Does the stability of personality vary by gender or ethnicity. Does a particular therapy work better to treat clients with one type of personality disorder than those with another. Providing a solution to thorny problems such as these, Aguinis shows readers how to better assess whether the relationship between two variables is moderated by group.

Regression analysis for categorical moderators. Responsibility Herman Aguinis ; series editor's note by David A. Kenny. Questions like these can be effectively answered by using a statistical tool known as moderated multiple regression (MMR). This book provides practical guidance for using MMR to better assess whether the relationship.

• Meta-regression is a statistical technique used in a meta- analysis to examine how characteristics of studies are related to variation in effect sizes across studies • Meta-regression is analogous to regression analysis but using effect sizes as our outcomes, and information extracted from studies as moderators/predictors In statistics and regression analysis, moderation occurs when the relationship between two variables depends on a third variable.

The third variable is referred to as the moderator variable or simply the moderator. The effect of a moderating variable is characterized statistically as an interaction; that is, a categorical (e.g., sex, ethnicity, class) or quantitative (e.g., level of reward.

O copies sold. Introduction to Mediation, Moderation, and Conditional Process Analysis describes the foundation of mediation and moderation analysis as well as their analytical integration in the form of "conditional process analysis", with a focus on PROCESS version 3 for SPSS and SAS (#processmacro) as the tool for implementing the methods discussed.

Regression analysis for categorical moderators By Herman Aguinis Guilford Press. £ (hbk), ISBN This book presents a comprehensive and readily accessible treatment of multiple regression with categorical moderators (MMR-C).

Although most of its contents can be gleaned from the ever. Calculating meta-regressions in R. Meta-regressions can be conducted in R using the metareg function in show the similarity between subgroup analysis and meta-regression with categorical predictors, I will first conduct a meta-regression with my variable Control as a predictor again.

metareg (,Control) ## ## Mixed-Effects Model (k = 18; tau^2 estimator: SJ) ## ## tau^2. Overview In the previous two tutorials we looked at how to apply the linear model using continuous predictor variables. We move on now to explore what happens when we use categorical predictors, and the concept of moderation.

Moderation occurs when the relationship between two variables changes as a function of a third variable. For example.Process Analysis A Regression-Based Approach Andrew F.

Hayes “This decidedly readable, informative book is perfectly suited for a range of audiences, from the novice graduate student not quite ready for SEM to the advanced statistics instructor.

Even the seasoned quantitative methodologist will benefit from Hayes's years of accumulated wisdom.In this book, Herman Aguinis shows that there is a straightforward approach to the moderation question, which is to perform moderated multiple regression analysis, MMR.

He presents a variety of contexts in which one would apply MMR and explains the relevant equations, graphs, and computer software. ix This is an excerpt from Guilford Publications.