# Independent Sample t-Test

Statistics Solutions provides a data analysis plan template for the Independent Sample t Test 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: Independent Sample t-Test

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

Research Question:

RQ: Is there a statistically significant difference on dependent variable by independent variable (group 1 vs. group 2)?

Ho: There is not a statistically significant difference on dependent variable by independent variable (group 1 vs. group 2).

Ha: There is a statistically significant difference on dependent variable by independent variable (group 1 vs. group 2).

Data Analysis

To examine the research question, an independent sample t-test will be conducted to assess if differences exist on a dependent variable by an independent variable.  An independent samples t-test is the appropriate statistical test when the purpose of research is to assess if differences exist on a continuous (interval/ratio) dependent variable by a dichotomous (2 groups) independent variable.  The continuous dependent variable is dependent variable.  The dichotomous independent variable is independent variable with groups: (group1 and group2). The assumptions of normality and homogeneity of variance will be assessed.  Normality assumes that the scores are normally distributed (bell-shaped) and will be assessed using the One-Sample Kolmogorov-Smirnov test.  Homogeneity of variance assumes that both groups have equal error variances and will be assessed using Levene’s Test for the Equality of Error Variances.  The t-test will be two- tailed with the probability of rejecting the null hypothesis when it is true set at p < 0.05.  This ensures a 95% certainty that the differences did not occur by chance.

Reference

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