A very complete and up-to-date tutorial on running and interpreting t-tests in SPSS. Includes:
An independent samples t-test examines if 2 populations have equal means on some variable.
Example: do Dutch women have the same mean salary as Dutch men?
This tutorial quickly walks you through the basics such as the assumptions, null hypothesis and effect size for this test.
A paired samples t-test examines if 2 variables have equal means in some population.
Example: were the mean salaries over 2018 and 2019 equal for all Dutch citizens?
This tutorial quickly walks you through the correct steps for running this test in SPSS.
A one-sample t-test examines if a population mean is likely to be x: some hypothesized value.
Example: do the pupils from my school have a mean IQ score of 100?
This tutorial quickly walks you through the basics for this test, including assumptions, formulas and effect size.
How to run a one sample t-test correctly in SPSS?
This simple tutorial with downloadable practice data quickly walks you through the right steps!
Cohen’s D is the effect size measure of choice for t-tests.
This simple tutorial quickly walks you through
Z-scores are scores that have mean = 0 and standard deviation = 1.
All scores can be standardized into z-scores by subtracting the mean from each score and then dividing it by the standard deviation.
Such standardized scores may be easier to interpret than the original scores. Z-scores may or may not be normally distributed.
Dichotomous variables are variables that hold precisely two distinct values.
Example: sex can only be male or female.
Some analyses that are only suitable for dichotomous variables are
THIS TUTORIAL HAS 13 COMMENTS:
By Ruphus Irungu on October 8th, 2020
Great stuff. Tutorials well laid out. I need to learn SPSS soonest. Certification? Do you have a free software version albeit with limited applications?
By Ketema on September 7th, 2021
Keep it up!
By rohaan on May 12th, 2022
thanks for this nice tutorials