How do you analyze a paired samples t-test in SPSS?

To run a Paired Samples t Test in SPSS, click Analyze > Compare Means > Paired-Samples T Test. The Paired-Samples T Test window opens where you will specify the variables to be used in the analysis. All of the variables in your dataset appear in the list on the left side.

How do you analyze paired t-test results?

The paired t test compares the means of two paired groups, so look first at the difference between the two means. Prism also displays the confidence interval for that difference. If the assumptions of the analysis are true, you can be 95% sure that the 95% confidence interval contains the true difference between means.

How do you report a paired samples t-test?

You will want to include three main things about the Paired Samples T-Test when communicating results to others.

Test type and use. You want to tell your reader what type of analysis you conducted.
Significant differences between conditions.
Report your results in words that people can understand.

What type of analysis is a paired t-test?

A paired t-test (also known as a dependent or correlated t-test) is a statistical test that compares the averages/means and standard deviations of two related groups to determine if there is a significant difference between the two groups.

What are the assumptions of a paired samples t-test?

Paired t-test assumptions Subjects must be independent. Measurements for one subject do not affect measurements for any other subject. Each of the paired measurements must be obtained from the same subject. For example, the before-and-after weight for a smoker in the example above must be from the same person.

When should a paired t-test be performed instead of a two sample t-test?

As discussed above, these two tests should be used for different data structures. Two-sample t-test is used when the data of two samples are statistically independent, while the paired t-test is used when data is in the form of matched pairs.

When should a paired t test be performed instead of a two sample t test?

What is the P-value in paired t test?

The P-value is the probability of finding the observed difference (or larger) between the paired samples, under the null-hypothesis. The null-hypothesis is the hypotheses that in the population (from which the samples are drawn) the difference between similarly paired observations is 0.

What is the difference between t-test and paired t-test?

Two-sample t-test is used when the data of two samples are statistically independent, while the paired t-test is used when data is in the form of matched pairs.

What is the difference between independent t-test and paired t-test?

An Independent Samples t-test compares the means for two groups. A Paired sample t-test compares means from the same group at different times (say, one year apart). A One sample t-test tests the mean of a single group against a known mean.

Under what conditions should you use the paired t-test for the mean difference between two related populations?

A paired t-test is used when we are interested in the difference between two variables for the same subject. Often the two variables are separated by time. For example, in the Dixon and Massey data set we have cholesterol levels in 1952 and cholesterol levels in 1962 for each subject.

What is paired samples t-test in SPSS?

SPSS paired samples t-test is a procedure for testing whether the means of two metric variables are equal in some population. Both variables have been measured on the same cases. Although “paired samples” suggests that multiple samples are involved, there’s really only one sample and two variables. The screenshot below illustrates the basic idea.

How do you do a paired samples t-test in Excel?

You find the paired samples t-test under A nalyze C ompare Means P aired Samples T Test as shown below. In the dialog below, select each pair of variables and move it to “Paired Variables”. For 3 pairs of variables, you need to do this 3 times. Clicking P aste creates the syntax below.

What are the assumptions of t test for paired samples?

Assumptions Paired Samples T-Test. For the paired samples t-test, these are independent observations or, more precisely, independent and identically distributed variables; the difference scores between the two variables must be normally distributed in our population.

What is the difference between the paired samples test and correlation table?

Paired Samples Test gives the hypothesis test results. The Paired Samples Statistics output repeats what we examined before we ran the test. The Paired Samples Correlation table adds the information that English and Math scores are significantly positively correlated ( r = .243).