![]() 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"). 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. McNemar's test using SPSS Statistics Introduction
0 Comments
Leave a Reply. |