What does a paired samples test tell you?
The Paired Samples t Test compares the means of two measurements taken from the same individual, object, or related units. These “paired” measurements can represent things like: A measurement taken at two different times (e.g., pre-test and post-test score with an intervention administered between the two time points)
Which section of a paired samples t-test output can be ignored?
The Paired Samples t Test is not appropriate for analyses involving the following: 1) unpaired data; 2) comparisons between more than two units/groups; 3) a continuous outcome that is not normally distributed; and 4) an ordinal/ranked outcome.
What are the assumptions of a paired samples t test?
The paired sample t-test has four main assumptions:
- The dependent variable must be continuous (interval/ratio).
- The observations are independent of one another.
- The dependent variable should be approximately normally distributed.
- The dependent variable should not contain any outliers.
How do you interpret an independent samples t test in SPSS?
To run an Independent Samples t Test in SPSS, click Analyze > Compare Means > Independent-Samples T Test. The Independent-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.
What are the three assumptions for the paired samples t test?
Assumptions
- The dependent variable must be continuous (interval/ratio).
- The observations are independent of one another.
- The dependent variable should be approximately normally distributed.
- The dependent variable should not contain any outliers.
How to do a paired sample test in SPSS?
Quick Steps 1 Analyze -> Compare Means -> Paired-Samples T Test 2 Drag and drop the first of the paired variables into the Variable 1 box on the right, and the second into the Variable 2 box 3 Click OK to run the test 4 The result will appear in the SPSS output viewer
What do you need to know about 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.
Which is an example of SPSS annotated output t test?
SPSS Annotated Output T-test. The dependent-sample or paired t-test compares the difference in the means from the two variables measured on the same set of subjects to a given number (usually 0), while taking into account the fact that the scores are not independent. In our examples, we will use the hsb2 data set.
Is the null hypothesis for a paired samples t-test null?
Their data -partly shown below- are in compare-exams.sav. They hold the number of correct answers for each student on all 3 exams. Generally, the null hypothesis for a paired samples t-test is that 2 variables have equal population means. Now, we don’t have data on the entire student population.