Imagine we had a sample of 15 couples and we wanted to predict which of the couples are likely to still be together in 1 year’s time. In an attempt to do this, we filmed each couple having a 5-minute discussion about a recent ‘difficult issue’ that had arisen in their relationship (e.g., how the household chores should be divided). We then coded the video footage and gave each couple a rating out of 20 on three predictors of relationship longevity: (1) listening to each other; (2) level of compromise; and (3) signs of contempt. The outcome was whether they were together a year later (score = 1) or not (score = 0). How could we analyse these data?
a. Logistic regression
b. Multiple regression
c. Independent t-test
d. One-way repeated-measures ANOVA
Correct option:
a. Logistic regression
Explanation:
Logistic Regression describes the relationship between one
dichotomous (binary) dependent variable and one or more nominal,
ordinal, interval or ratio level independent variables.
In this experimentation, the dependent variables is: whether they were together a year later (score = 1) or not (score = 0) and so it is dichotomous (binary).
There are 3 independent variables: (1) listening to each other; (2) level of compromise; and (3) signs of contempt.
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