# Reporting Paired Samples T Test in SPSS

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## How to Run Paired Sample T Test in SPSS: Explanation Step by Step

### From the SPSS menu, choose Analyze – Compare Means – Paired-Samples T-Test.

### A new window will appear. From the left box, transfer the variables in the Paired Variables box. Math Test score 1 transfer to Variable 1 box, and Math Test Score 2 transfer to Variable 2 box.

### The results of the Paired samples t-test will appear in the output window.

## How to report a Paired Sample T Test results: Explanation Step by Step

### How to Report Descriptive Statistics Table in SPSS Output?

The first table in the output window shows descriptive statistics of the variables (mean, standard deviation, standard error mean, and the number of observations).

The average Math test score before training was 73.08 (M=73.08; SD=16.89), and the average Math test score after training was 68.83 (M=68.83; SD=17.69).

### How to Report Paired Samples Table in SPSS Output?

The second table shows the correlations between Math scores before and after the training.

The correlation coefficient shows that there is a non-significant positive relationship between math score before the training and math score after the training, [r(37) = .058, p = .735].

### How to Report P-Value in Paired Sample Table SPSS Output?

The third table shows the results of the paired samples t-test. We should look at the significance of test statistics (last column).

If the p-value is lower than .05 then, we reject the null hypothesis. So, we conclude that there is a difference between the mean before and after the intervention.

In our example, p = .284 > .05, so we fail to reject the null hypothesis and conclude that there is no difference between the math test score before and the math test score after the training.

## How to Interpret a Paired Sample T-Test Results in APA Style?

*A Paired samples t-test was conducted to determine the effect of training on a math test score. The results indicate a not significant difference between math test score before training (M=73.08; SD=16.89) and Math test score after training (M=68.83; SD=17.69); [t(36) = 1.086, p = .284]. *

*The 95% confidence interval of the difference between the means ranged from [-3.68 to 12.16] and did not indicate a difference between the means of the samples. We, therefore, fail to reject the null hypothesis that there is no difference between the means and conclude that there is not an effect of training on a math test score.*

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