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10.1: Change and Differences
https://stats.libretexts.org/Courses/Sacramento_City_Colllege/PSYC_330%3A_Statistics_for_the_Behavioral_Sciences_with_Dr._DeSouza/10%3A_Repeated_Measures/10.01%3A_Change_and_Differences
Where $\mathrm{X}_{\mathrm{d}}$ is the difference score, $\mathrm{X}_{\mathrm{T} 1}$ is the score on the variable at time 1, and $\mathrm{X}_{\mathrm{T} 2}$ is the score on the variable at time ...Where $\mathrm{X}_{\mathrm{d}}$ is the difference score, $\mathrm{X}_{\mathrm{T} 1}$ is the score on the variable at time 1, and $\mathrm{X}_{\mathrm{T} 2}$ is the score on the variable at time 2. What all of these names have in common is that they describe the analysis of two scores that are related in a systematic way within people or within pairs, which is what each of the datasets usable in this analysis have in common.
10.1: Introduction to Dependent Samples
https://stats.libretexts.org/Courses/Taft_College/PSYC_2200%3A_Elementary_Statistics_for_Behavioral_and_Social_Sciences_(Oja)/02%3A_Mean_Differences/10%3A_Dependent_Samples_t-test/10.01%3A_Introduction_to_Dependent_Samples
What do you do when you don't think that your samples are independent?
10.1: Introduction to Dependent Samples
https://stats.libretexts.org/Workbench/PSYC_2200%3A_Elementary_Statistics_for_Behavioral_and_Social_Science_(Oja)_WITHOUT_UNITS/10%3A_Dependent_Samples_t-test/10.01%3A_Introduction_to_Dependent_Samples
What do you do when you don't think that your samples are independent?
10.1: Change and Differences
https://stats.libretexts.org/Courses/Rio_Hondo_College/PSY_190%3A_Statistics_for_the_Behavioral_Sciences/10%3A_Repeated_Measures/10.01%3A_Change_and_Differences
Where $\mathrm{X}_{\mathrm{d}}$ is the difference score, $\mathrm{X}_{\mathrm{T} 1}$ is the score on the variable at time 1, and $\mathrm{X}_{\mathrm{T} 2}$ is the score on the variable at time ...Where $\mathrm{X}_{\mathrm{d}}$ is the difference score, $\mathrm{X}_{\mathrm{T} 1}$ is the score on the variable at time 1, and $\mathrm{X}_{\mathrm{T} 2}$ is the score on the variable at time 2. What all of these names have in common is that they describe the analysis of two scores that are related in a systematic way within people or within pairs, which is what each of the datasets usable in this analysis have in common.

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