Can you use Chi-square for repeated measures?

A Chi-square test works for arbitrary 2-dimensional tables, it is not restricted to the 2×2 case (binary variables). However, you also have repeated measures, since some participants could vote more than once. So yes, the independence assumption of a Chi-square test are violated.

What is the difference between McNemar test and chi squared?

When data are paired and the outcome of interest is a proportion, the McNemar Test is used to evaluate hypotheses about the data. The McNemar test is only used for paired nominal data. Use the Chisquare test for independence when nominal data are collected from independent groups.

What does a McNemar test tell you?

The McNemar test is used to determine if there are differences on a dichotomous dependent variable between two related groups. It can be considered to be similar to the paired-samples t-test, but for a dichotomous rather than a continuous dependent variable.

What does a contingency table x2 statistical test do?

When analysis of categorical data is concerned with more than one variable, two-way tables (also known as contingency tables) are employed. These tables provide a foundation for statistical inference, where statistical tests question the relationship between the variables on the basis of the data observed.

How are chi squared useful tests in paired data analysis?

It is used for data of the two groups coming from the same participants, i.e. paired data. Paired data usually arise through matching, which increased the validity by controlling confounders. For example, it is used to analyze tests performed before and after treatment in a population.

When would you use the McNemar test instead of a test of independence?

The McNemar is not testing for independence, but consistency in responses across two variables. It’s generally used in repeated measures or paired data situations.

Can you use Chi-square for within subjects?

For a binary dependent variable, there is a form of the chi-square test for within-subjects designs called McNemar’s chi-square.

What types of study design is the McNemar’s test most used for?

The McNemar test is used to examine paired dichotomous data.

Is McNemar test parametric or nonparametric?

The McNemar test is a non-parametric test used to analyze paired nominal data. It is a test on a 2 x 2 contingency table and checks the marginal homogeneity of two dichotomous variables. The test requires one nominal variable with two categories (dichotomous) and one independent variable with two dependent groups.

How do you read a contingency table?

The rows represent values of one categorical variable, while the columns denote the values of another. Analysts indicate the number of values for each variable by describing these tables as an A X B contingency table, where A represents the number of rows and B signifies the number of columns.