Summary
Contents
Subject index
Bruce Frey’s There’s a Stat for That! is a brief, straightforward, and to-the-point guide to deciding which statistical analysis to use and when to use it. Designed for consultants, researchers, students, and those who already have the resources to tell them how to perform the analyses, this text explains why a particular statistical approach is the right one to use. The book affirms that regardless of the group design, once the variables are chosen and the measurement strategy is worked out, one can rest assured that there is a stat for that!
Multiple Logistic Regression
Multiple Logistic Regression
Predictor Variables | 2+ |
Level of Measurement | Nominal+ |
Number of Levels | 2+ |
Number of Groups | 1 |
Criterion Variables | 1 |
Level of Measurement | Nominal |
Number of Levels | 2 |
Measurement Occasions | 1 |
Research Design
Multiple logistic regression is appropriate when one has two or more predictors and a single criterion variable at the nominal level with just two levels. The term multiple indicates there is more than one predictor. The predictors can be nominal or higher or a mix of levels, but interpretation in logistic regression is a bit easier when predictors are nominal and each has just two levels. Data are collected for all variables, usually at the same time, from one large group of people.
Primary Statistical Question
For those at each level (or each score or in each category) of the independent variables, what are the probabilities that ...
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