Chi-Square

Bain, Willett, Hennekens, Rosner, Belanger, and Speizer (1981) conducted a study of the association between current postmenopausal hormone use and risk of nonfatal myocardial infarction (MI), in which 88 women reporting a diagnosis of MI and 1,873 healthy control subjects were identified from a large population of married female registered nurses aged thirty to fifty-five years. There were 32 women who currently used hormones and had a diagnosis of MI and 56 women reporting a MI and never used hormones. Of the women controls (women who did not report a MI) 825 currently use hormones and 1,048 never used hormones. To test the hypothesis that there is no association between use of postmenopausal hormones and risk of MI, chi-square statistics need to be calculated in SPSS using a 0.05 level of significance. The SPSS data are provided in the link below. The SPSS dataset consists of two variables:

Click hereto access the SPSS data.

Name	Label of Variable	Values
Group Association	Group	Control Case
Use	Hormone Use	Currently Use Never use

Reference: Bain, C., Willett, W., Hennekens, C. H., Rosner, B., Belanger, C., & Speizer, F. E. (1981). Use of postmenopausal hormones and risk of myocardial infarction. Circulation, 64(1), 42-46.

First, refer to following video on how perform a Chi-square analysis.

Using SPSS, download the data, perform appropriate procedures, and provide calculations.