Logistic regression examines the association between continuous independent variables (i.e., constructs measured on a continuous scale like 1 to 5) and categorical dependent variables (i.e., constructs categorized into groups rather than on a continuous scale). An example of a logistic regression may be whether age (as a continuous variable) predicts Service members’ retention in the military through retirement (categorical, yes/no, outcome).
Huck, S. W. (2008). Reading statistics and research. Boston, MA: Pearson Education, Inc.