Logistic Regression
Logistic regression is a statistical method to test for associations, or relationships, between variables. Like all regression analyses, logistic regression is a predictive analysis where a model is tested to find out whether the value of one variable, or the combination of values of multiple variables, can predict the value of another variable. The distinguishing feature of logistic regression is that the dependent (also called outcome or response) variable is categorical. This entry first describes the method and the concepts of causal inference and biological plausibility. It then discusses positive and negative associations and the odds ratio and provides an example of the use of logistic regression analysis to determine whether depression increases the risk of older people needing home help. The entry concludes by ...
Looks like you do not have access to this content.
Reader's Guide
Assessment
Cognitive and Affective Variables
Data Visualization Methods
Disabilities and Disorders
Distributions
Educational Policies
Evaluation Concepts
Evaluation Designs
Human Development
Instrument Development
Organizations and Government Agencies
Professional Issues
Publishing
Qualitative Research
Research Concepts
Research Designs
Research Methods
Research Tools
Social and Ethical Issues
Social Network Analysis
Statistics
Teaching and Learning
Theories and Conceptual Frameworks
Threats to Research Validity
- All
- A
- B
- C
- D
- E
- F
- G
- H
- I
- J
- K
- L
- M
- N
- O
- P
- Q
- R
- S
- T
- U
- V
- W
- X
- Y
- Z