Description:
Imagine that you have a hypothesis that two groups of different entities will differ from each other on some variable. For example, a psychologist collects data to investigate the depressant effects of two recreational drugs. She tested 20 clubbers: 10 were given an ecstasy tablet to take on a Saturday night and 10 drank alcohol. Levels of depression were measured using the Beck Depression Inventory (BDI) the day after (Sunday) or midweek (Wednesday).
Variables:
Reference:
Field, A. P. (2017). Discovering Statistics Using IBM SPSS Statistics (5th ed.). Sage. [Fictional data set]
The data set was constructed by Andy Field who therefore owns the copyright. Andy Field generously agreed that we can include the data set in the jamovi Data Library. This data set is also publicly available on the website that accompanies Andy Field`s book, https://edge.sagepub.com/field5e. Without Andy Field`s explicit consent, this data set may not be distributed for commercial purposes, this data set may not be edited, and this data set may not be presented without acknowledging its source (i.e., the terms of a CC BY-NC-ND license).
| Paired Samples T-Test | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| Statistic | p | ||||||||
| Wednesday_BDI | Sunday_BDI_Ecstasy | Wilcoxon W | 36.000 | ᵃ | 0.0140 | ||||
| Note. Hₐ μ Measure 1 - Measure 2 ≠ 0 | |||||||||
| ᵃ 2 pair(s) of values were tied | |||||||||
| Paired Samples T-Test | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| Statistic | p | ||||||||
| Wednesday_BDI | Sunday_BDI_Alcohol | Wilcoxon W | 8.000 | 0.0525 | |||||
| Note. Hₐ μ Measure 1 - Measure 2 ≠ 0 | |||||||||
[1] The jamovi project (2022). jamovi. (Version 2.3) [Computer Software]. Retrieved from https://www.jamovi.org.
[2] R Core Team (2021). R: A Language and environment for statistical computing. (Version 4.1) [Computer software]. Retrieved from https://cran.r-project.org. (R packages retrieved from MRAN snapshot 2022-01-01).