# Dependent (Paired) Sample t Test

Statistics Solutions provides a data analysis plan template for dependent (paired) sample t test.  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: Dependent (Paired) Sample t Test

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

Research Question:

Is there a statistically significant difference on dependent variable1 and dependent variable2?

Ho: There is not a statistically significant difference on dependent variable1 and dependent variable2.

Ha: There is a statistically significant difference on dependent variable1 and dependent variable2.

Data Analysis

To examine the research question, a dependent sample test will be conducted to examine if mean differences exist on dependent variable1 and dependent variable2.  Dependent sample test for paired means is an appropriate statistical analysis if each of the two samples can be matched on a particular characteristic.  Given an alpha at 0.05, when a calculated t-value is larger than the critical t-value, after considering degrees of freedom (df) for dependent samples (N – 1), the null hypothesis will be rejected.  The dependent samples test of correlated mean differences assumes a normal distribution or a curve that is bell shaped and symmetrical.  The assumption of normality will be examined with a One-Sample Kolmogorov-Smirnov (KS) test.

Reference

Statistics Solutions. (2013). Data analysis plan: Dependent (Paired) Sample t Test [WWW Document]. Retrieved from http://www.statisticssolutions.com/academic-solutions/member-resources/member-profile/data-analysis-plan-templates/dependent-paired-sample-t-test/