Independent T-Tests
Independent samples t-tests
(Used to compare means of two different groups of scores when NO score in one group is paired with a score in the other group. This is the test used in having control groups.)
Step One:
Run Frequencies on the Split Groups
√ Data
√ Split File
√ Highlight Group to be Split and Move Over
√ Compare Groups
√ OK
√ Statistics
√ Summarize
√ Frequencies
√ Move over the dependent (outcome) variable
√ Statistics
√ Mean
√ Standard Deviation
√ Continue
√ OK
Note: Before you continue to another application you must complete the following:
√ Data
√ Split Files
√ Analyze all cases, do not create groups
√ OK
Step Two:
Run Independent Samples t-test on Data
√ Statistic
√ Compare Means
√ Independent Samples t-test
√ Test Variable would be
√ Grouping Variable
√ Define Groups
√ Group One is No. 1 and Group Two is No. 2
Note: Click on view than value labels to find the code for each group.
√ Continue
√ OK
Step Three:
Check for Statistical Significance
1. Go to the Independent Samples Test Box and look at the very third cell labeled Sig. (2-tailed) to check for significance.
2. If .000 add a 1 to check for significance at .05
3. Numerical Sentence = tsp(df)sp=spt,sppsp ................
................
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