Yates's Correction
Frank Yates's correction is an adjustment that might be applied to a chi-square analysis when evaluating the association between two dichotomous variables. Such data are often presented in the form of frequencies in a 2 × 2 contingency table. In this context, chi-square is a test of independence, as it is intended to evaluate whether the two variables are associated (vs. independent) in the population from which the sample of participants was drawn. However, the traditional Pearson's chi-square statistic might not be applicable to all cases of 2 × 2 contingency tables. Yates's correction was designed to adjust the Pearson chi-square test of independence to make it applicable to 2 × 2 contingency tables with very small expected frequencies; however, its applicability has been hotly ...
Looks like you do not have access to this content.
Reader's Guide
Descriptive Statistics
Distributions
Graphical Displays of Data
Hypothesis Testing
Important Publications
Inferential Statistics
Item Response Theory
Mathematical Concepts
Measurement Concepts
Organizations
Publishing
Qualitative Research
Reliability of Scores
Research Design Concepts
Research Designs
Research Ethics
Research Process
Research Validity Issues
Sampling
Scaling
Software Applications
Statistical Assumptions
Statistical Concepts
Statistical Procedures
Statistical Tests
Theories, Laws, and Principles
Types of Variables
Validity of Scores
- 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