My Account Log in

1 option

Learn How to Do Moderation and Interpret Interaction Effects in Multilinear Regression from the General Social Survey Using IBM SPSS / Julie Scott Jones.

Sage Research Methods Data and Research Literacy 2025 Available online

View online
Format:
Book
Author/Creator:
Jones, Julie Scott, author.
Language:
English
Subjects (All):
Regression analysis.
Physical Description:
1 online resource
Place of Publication:
London : SAGE Publications Ltd, 2025.
Summary:
This Dataset is designed for learning how to do moderation and interpret interaction effects in multilinear regression. Learning how to do moderation and interpret interaction effects is a useful addition to multilinear regression modeling, providing greater complexity or sophistication to your analysis. It is also a technique that can be used in other forms of statistical modeling, for example, multilevel modeling, and therefore, learning how to do it gives you a good foundation for further development of your modeling skills. This Dataset and guide will outline what moderation is and how it relates to multilinear regression. It will guide you through how to model a moderation conceptually, prepare data for a moderation, and conduct and interpret a moderation analysis. The Dataset is a subset of data derived from the 2018 General Social Survey. The Dataset file is accompanied by a Student Guide and a How-to Guide for IBM SPSS.
Notes:
Description based on publisher supplied metadata and other sources.
ISBN:
1-03-622208-X
9781036222086
OCLC:
1523170099

The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.

Find

Home Release notes

My Account

Shelf Request an item Bookmarks Fines and fees Settings

Guides

Using the Find catalog Using Articles+ Using your account