2×2
Two random sample: SPSS, cross table, chi square
Pairing: SPSS, Cross-Tab, kappa, McNemar
R×C
1, bi disorder:
1.1 Comparison of composition ratio or a plurality of: SPSS, cross table, chi square
1.2 Comparison of the relevance of two variables, chi square and Pearson column contact number
2, orderly way
2.1 When comparing blood grouping variables (age, orderly) of indicator variables (blood disorder) of the constitution, chi square
2.2 Comparison of the efficacy of a grouping variable (treatment programs, disorder) of indicator variables (invalid, improvement, cure and orderly), the proposed non-parametric.
2.2.1 two packets, level indicator variables, (A, B with different doses of the drug side effects if linear), Cochran-Armitage trend test, Logistic (significant) + cross table (descriptive).
https://www.mediecogroup.com/method_article_detail/53/
2.2.2 two or more packets, indicators ranked data, Mantel-Haenszel chi-square test, also known as linear trend test (Test for Linear Trend) or sequencing test (Linear by Linear Test)
chi square + correlation, cross table describes (+ linear by linear), Pearson correlation coefficient.
https://www.mediecogroup.com/method_article_detail/77/
3, two-way order and the same attributes
Similar paired chi-square, consistency check / Kappa test, see pairing
Repeated measurements or the like, for example: Eight mice, body weight was measured, the measured week. scale - the reliability analysis correlation coefficient (ICC)
https://www.mediecogroup.com/method_article_detail/41/
4, two-way order different properties
4.1 different effect in different age groups, non-parametric
4.2 with the presence of age-related effect, rank correlation
There is 4.3 age and efficacy of linear trend, Mantel-Haenszel chi-square test
5, Chchran-Mantel-Haenszel chi-square test stratified