The Chi-square test of independence

Biochemia Medica

Volumn 23, Issue 2, 2013, Pages 143-149

  McHugh, Mary L ^a  

^a NATIONAL UNIVERSITY   (United States)

Author keywords

Assumptions; Categorical data; Chi square; Non parametric; Statistical analysis

Indexed keywords

ANALYSIS OF VARIANCE; ARTICLE; CALCULATION; CHI SQUARE TEST; DEPENDENT VARIABLE; INDEPENDENT VARIABLE; PARAMETRIC TEST; SAMPLE SIZE; STATISTICAL ANALYSIS; STATISTICAL SIGNIFICANCE;

EID: 84878767384     PISSN: 13300962     EISSN: None     Source Type: Journal    
DOI: 10.11613/BM.2013.018     Document Type: Article

References (4)

1. Miller R, Siegmund D. Maximally selected Chi-square statistics. Biometrics 1982;38:1101-1106. http://dx.doi.org/10.2307/2529881.
2. Streiner D. Chapter 3: Breaking up is hard to do: The heartbreak of dichotomizing continuous data. In Streiner, D. A Guide for the Statistically Perplexed. Buffalo, NY: University of Toronto Press 2013.
3. Bewick V, Cheek L, Ball J. Statistics review 8: Qualitative data - tests of association. Crit Care 2004;8:46-53. http://dx.doi.org/10.1186/cc2428.
4. Scott M, Flaherty D, Currall J. Statistics: Dealing with categorical data. J Small Anim Pract 2013;54:3-8.