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The dependent t-test (also called the paired t-test or paired-samples t-test) compares the means of two related groups to determine whether there is a statistically significant difference between these means.
Step-by-step instructions on how to perform a Dependent T-Test in SPSS Statistics using a relevant example. This guide also includes the SPSS Statistcis output and how to interpret the output.
Understanding the hypothesis of the dependent t-test, how to use the test for different subjects (matched-pairs designs), correctly reporting the output and whether to include confidence intervals in the results.
How to use the dependent t-test to test for differences over time in a group, its use in more complex study designs and the underlying assumptions of the test.
The independent-samples t-test (or independent t-test, for short) compares the means between two unrelated groups on the same continuous, dependent variable.
The independent t-test, also called the two sample t-test, independent-samples t-test or student's t-test, is an inferential statistical test that determines whether there is a statistically significant difference between the means in two unrelated groups.
You have now run the independent-samples t-test and generated useful descriptive statistics to help you determine whether there is a statistically significant difference between the two groups of your independent variable in terms of your dependent variable.
The paired t-test, also referred to as the paired-samples t-test or dependent t-test, is used to determine whether the mean of a dependent variable (e.g., weight, anxiety level, salary, reaction time, etc.) is the same in two related groups (e.g., two groups of participants that are measured at two different "time points" or who undergo two ...
Repeated measures ANOVA is the equivalent of the one-way ANOVA, but for related, not independent groups, and is the extension of the dependent t-test. A repeated measures ANOVA is also referred to as a within-subjects ANOVA or ANOVA for correlated samples.
The independent t-test, also referred to as an independent-samples t-test, independent-measures t-test or unpaired t-test, is used to determine whether the mean of a dependent variable (e.g., weight, anxiety level, salary, reaction time, etc.) is the same in two unrelated, independent groups (e.g., males vs females, employed vs unemployed ...