Categorical Data Analysis
Categorical data analysis is a field of statistical analysis devoted to the analysis of dependent variables that are categorical in nature. Development of analytic techniques for inference utilizing categorical random variables began around 1900 when Karl Pearson introduced the chi-square statistic (χ2). From this first introduction of tests of two-way contingency tables, the field has developed to include not only analyses of contingency tables but also more sophisticated analytic techniques such as the generalized linear mixed model. This entry defines categorical variables, outlines the most frequently utilized probability distributions for categorical variables, describes the most commonly used statistical analyses in the field of categorical data analysis, and discusses estimation methods for parameter estimates.
Categorical variables are a class of random variables whose outcomes fall into ...
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