What scale of measurement is used for the dependent variable?
| Type of Dependent Variable (or Scale) | Level of Measurement | Examples of Statistical Procedures |
|---|---|---|
| Categorical (or dichotomous) | nominal, ordinal with 2, 3, or 4 levels | chi-square, logistic regression |
| Continuous | ordinal with more than 4 categories | ANOVA, regression, correlation, t-tests |
What type of data is the dependent variable?
Dependent Variables. Dependent variables are the measured behaviors of participants. They are dependent because they “depend on” what the participants do. The most obvious example is text entry speed, measured, for example, in words per minute.
How to choose a statistical test for one dependent variable?
Choosing a Statistical Test This table is designed to help you choose an appropriate statistical test for data with one dependent variable. Hover your mouse over the test name (in the Test column) to see its description. The Methodology column contains links to resources with more information about the test.
What to consider when choosing a statistical test?
You also want to consider the nature of your dependent variable, namely whether it is an interval variable, ordinal or categorical variable, and whether it is normally distributed (see What is the difference between categorical, ordinal and interval variables? for more information on this).
How to choose the correct statistical test in SAS?
The table below covers a number of common analyses and helps you choose among them based on the number of dependent variables (sometimes referred to as outcome variables), the nature of your independent variables (sometimes referred to as predictors).
What are the different types of statistical variables?
Continuous (a.k.a ratio variables): represent measures and can usually be divided into units smaller than one (e.g. 0.75 grams). Discrete (a.k.a integer variables): represent counts and usually can’t be divided into units smaller than one (e.g. 1 tree).