# Ordinal Regression

Statistics Solutions provides a data analysis plan template for the ordinal regression analysis.  You can use this template to develop the data analysis section of your dissertation or research proposal.

The template includes research questions stated in statistical language, analysis justification and assumptions of the analysis.  Simply edit the blue text to reflect your research information and you will have the data analysis plan for your dissertation or research proposal.

Data Analysis Plan: Ordinal Regression

Copy and paste the following into a word document to use as your data analysis plan template.

Research Question:

RQ: Do independent variable 1, independent variable 2, and independent variable 3 predict dependent variable?

HoIndependent variable 1, independent variable 2, and independent variable 3 do not predict dependent variable.

Ha: Independent variable 1independent variable 2, and independent variable 3 predict dependent variable.

Data Analysis

To examine the research question, an ordinal regression will be conducted to investigate whether or not independent variable, independent variable, and independent variable predict dependent variable.  Ordinal regression is a statistical technique that is used to predict behavior of an ordinal level dependent variable with a set of independent variables.  In ordinal regression, the dependent variable is the ordered response category variable and the independent variable may be categorical, interval or a ratio scale variable.  The assumptions of ordinal regression include only one dependent variable can be used, there is one regression equation for each category of the ordinal dependent variable except the last category, and adequate cell count (80% of cells must have more than 5 counts and no cell should have zero count).  The assumption of parallel lines should be met, which assesses if the slope of the log-odds is equal for all categories of the dependent variable.

Reference