Health Sciences 3801A/B Lecture Notes - Lecture 8: Phi Coefficient, Count Data, Level Of Measurement

• School: Western University
• Department: Health Sciences
• Course: Health Sciences 3801A/B
• Professor: Andrew Johnson

Document Summary

Bivariate chi-square: 2 bivariate applications of chi-square, change over time within a single variable, mcnemar test, association between categorical variables, phi coefficient, cramer"s v, cell arrangements are different, but all of these analyses are based on the chi-square. The mcnemar test: the mcnemar test is a chi-square statistic, best for dichotomous variables measured at 2 time points, 2x2 matrix, repeated measures analysis, must survey the same group of individuals twice. The test of independence: 2 interval/ratio variables pearson"s r, ordinal variables spearman"s rho, nominal data, 2 dichotomous variables phi coefficient, any 2 nominal variables cramer"s v. Cross-tabulation: data is arranged in a cross-table, comparing model fit for our observed data, our null hypothesis is that the variables are independent (i. e. , uncorrelated ) If the variables are independent, then the assortment of individuals into cells within the matrix should be random. Stats notes from lecture 8 bivariate count data.