How to Conduct a One-Way ANOVA in JASP

In this video, you'll learn how to use JASP to conduct a One-Way ANOVA. This corresponds with Chapter 6 of our textbook Applied Data Analysis in Psychology: Exploring Diversity with Statistics; however, you do not need to have the textbook to follow along with this walk-through.
Here is the link to the study (Brown Jarreau et al., 2019) referenced in the walk-through as well as their dataset: journals.plos.org/plosone/art...
Black, K. J., Madden, J., Osborn, H., & Walker, R. V. (2021). Applied data analysis in psychology: Exploring diversity with statistics. Kendall Hunt. he.kendallhunt.com/product/ap...
Check can also check out my FREE companion open education resource here, it includes a One-Way ANOVA data set and a walk-through guide with step-by-step instructions for conducting a One-Way ANOVA in JASP. It also includes information about how to write up study results in APA format. scholar.utc.edu/open-textbook...
This video was created by Dr. Ruthie Walker, Assistant Professor of Psychology at The University of Tennessee at Chattanooga.
Click here to download JASP statistical software to analyze your data here: jasp-stats.org/download/

[@salsasas]

Thank you for this comprehensive explanation! Sharing the notes i took in case anyone is interested:
1. Start with descriptive stats and check skewness, must be between -2 and 2 otherwise it’s too skewed
2. Check boxplots for outliers, if present try and run the tests w/o outliers and see (especially if data is too skewed)
3. Run the ANOVA test
4. Assumption check- homogeneity test! If p run Welch ANOVA instead (tick the Welch box)
5. ANOVA p means its statisttically significant
6. η2 (and more conservative omega) show effect size: .01 is small effect, >0.06 is medium, >0.15 is large effect
7. Post-hoc test tukey (if homogenous, otherwise games-howell), add CI, flag significant comparisans, effect size, error bars, optional raincloud
8. Report anova in resultsw according to APA: F(df1,df2)=F value, p0,05, η2 or omega2
9. Report post-hoc test as follows: Group 1 was (higher/lower) in DV (Mean=, SD= ) compared to Group 2 (M= , SD= ), pTukey>0,05, d=Cohen’s d value, indicating a (small/medium/large) difference. No other group comparisons were significantly different, all pTukey> 0,05.

[@DrRuthieWalker]

That is so kind of you to share your notes! We have a written form of these explanations available in our open education stats manual as well (completely free)! Here is the link: utc.pressbooks.pub/step-by-step-JASP-guides/

[@salsasas]

@@DrRuthieWalker Ah nice, I will check that out. Thank you!