Having an independent variable with two related groups indicates that you have a pretest-posttest, matched pairs or case-control study design. You can learn more about dichotomous variables in our article: Types of Variable.
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Examples of dichotomous variables include perceived safety (two groups: "safe" and "unsafe"), exam performance (two groups: "pass" and "fail"), preferred choice of cereal brand (two groups: "brand A" and "brand B"), feeling of seasickness (two groups: "yes" and "no"), level of exhaustion (two groups: "low" and "high"), use of safety equipment (two groups: "uses safety helmet" and "doesn't use safety helmet), skin cream effectiveness (two groups: "rash" and "no rash"), and so forth.
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This "quick start" guide shows you how to carry out a McNemar's test using SPSS Statistics, as well as interpret and report the results from this test. Alternately, you could use the McNemar's test to determine whether the proportion of participants who felt safe (yes or no) differed when wearing a cycling helmet as opposed to wearing no cycling helmet (i.e., the dependent variable would be "sense of safety", which has two categories: "safe" and "not safe").
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If you have more than two repeated measurements, you could use Cochran's Q test.įor example, you could use the McNemar test to determine whether the proportion of participants who had low self-esteem (as opposed to high self-esteem) before a series of counselling sessions (i.e., an intervention) decreased after the intervention (i.e., your dependent variable would be "level of self-esteem", which has two categories: "low" and "high"). The McNemar test is used to analyze pretest-posttest study designs, as well as being commonly employed in analyzing matched pairs and case-control studies. However, unlike the paired-samples t-test, it can be conceptualized to be testing two different properties of a repeated measure dichotomous variable, as is explained below.
It can be considered to be similar to the paired-samples t-test, but for a dichotomous rather than a continuous dependent variable. The McNemar test is used to determine if there are differences on a dichotomous dependent variable between two related groups.
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