What is the most appropriate statistical technique to be used in a research situation in which the independent variable is continuous or categorical and the dependent variable is categorical?
A one-way analysis of variance (ANOVA) is used when you have a categorical independent variable (with two or more categories) and a normally distributed interval dependent variable and you wish to test for differences in the means of the dependent variable broken down by the levels of the independent variable.
Can a binary dependent variable be used in regression?
Yes you can! In your case, you’re talking about a binary dependent variable because it has only two levels (presumably), admitted and not admitted. In that case, you’d use binary logistic regression and it’s fine to use a binary (or categorical) independent variable.
Which is test can I use for analyzing the effect of a categorical independent variable?
Which test can I use for analyzing the effect of a categorical independent variable, such as preoperative ASA score (1/2/3/4), on a binary dependent variable, such as postoperative complication (yes/no)?
Which is a binary variable admit or don’t admit?
The response variable, admit/don’t admit, is a binary variable. This dataset has a binary response (outcome, dependent) variable called admit, which is equal to 1 if the individual was admitted to graduate school, and 0 otherwise. There are three predictor variables: GRE, GPA, and rank. We will treat the variables GRE and GPA as continuous.
When is a dependent variable a dichotomous variable?
Independent variables – one is categorical, the other is dichotomous and dependent variable is also dichotomous. Your dependent variable should be measured on a dichotomous scale. Example: The dichotomous variables include gender ie, two groups: “males” and “females”, presence of heart disease like., two groups: “yes” and “no”.