How to do an Independent Samples t Test in JASP (11-10)

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  • Опубликовано: 15 июл 2024
  • Using a dataset about puppy training, we learn how to set up and run an independent samples t test. We import data into JASP, conduct the test, interpret the results and write up the findings. We will learn to check the assumptions of homogeneity of variance using a Levene’s test and normality using a Shapiro Wilk test. Finally, we learn about the comparative power of a t test, and Cohen’s d effect size, based on your research design. You should watch both this video and How to do a Paired Samples t Test in JASP (11-11) to fully understand these two tests.
    Link to How to do a Paired Samples t Test in JASP (11-11): • How to do a Paired Sam...
    Download the Friendly, Free, Flexible, Functional JASP software from the official JASP statistics website: jasp-stats.org
    This video teaches the following commands and techniques in JASP:
    Importing a CSV into JASP
    Independent samples t test
    This video uses the dataset PuppyTrainingIndep.csv and JASP version 11.1
    Link to a Google Drive folder with all of the files that I use in the videos including spreadsheets, the Bear Handout, and datasets. As I add new files, they will appear here, as well.
    drive.google.com/drive/folder...
    To download, hover your cursor over the file icon and a blue download icon will appear. You do not need to request access to a file.

Комментарии • 12

  • @chakowe
    @chakowe 2 месяца назад

    This video has helped me more than you will ever know. Went from a politics student way out of his depth, to a politics student with an undergrad diss observing a significant statistical difference between political orientation and personality types, which is super exciting (at least for me). this video is the difference between a 2:1 and a first for me so thank you

  • @wicream4952
    @wicream4952 Год назад +2

    You are a genius! This video really helped me.

  • @jakegomez8279
    @jakegomez8279 2 года назад

    Hi, how can you tell there is a significant difference?

  • @janamihulkova5062
    @janamihulkova5062 Год назад +1

    What do you need to do if both Normality and Equality of variances assumptions had been violated please? (my sample is less than 30 and the two groups are not of equal sizes - and I still need to draw some results from it). Many thanks for your help!

    • @ResearchByDesign
      @ResearchByDesign  Год назад +2

      With that many violations, any conclusions that you draw from that data are unlikely to be reliable. You can still run a test and interpret it, but you really only know something about your sample, nothing you can extrapolate back to a population. Any conclusions may be right, may be wrong, but you will not know which one. Best option is to collect more data. Good luck

  • @yza4896
    @yza4896 4 года назад

    Hi, i have been following your videos for a while but it seems like the majority of them are about very basic hypothesis tests. Would you make videos about more advanced hypothesis tests in the future like two way or three-way paired ANOVA or MONOVA with SPSS?

    • @ResearchByDesign
      @ResearchByDesign  4 года назад +3

      I started with the basics because, honestly, more people view them. I have some deeper stuff on data handling on the channel, but the good news is that more advanced stats are coming. I am currently working on several scripts including advanced techniques in ANOVA.

    • @khatomacharashvili5038
      @khatomacharashvili5038 2 года назад

      ​@@ResearchByDesign so at the same time if lavines test is significant the variables can be homogeneity?

  • @chinenyepriscilla3088
    @chinenyepriscilla3088 5 месяцев назад

    To check for equality of variances, my JASP only shows Brown-Forsythe instead of the Levene’s. How do I set it to the Levene’s. Thank you.

  • @begz9766
    @begz9766 Год назад +1

    hey I think you were mistaken at 15:50, since it is a two tailed test you should report saying we expect to find a difference only

    • @ResearchByDesign
      @ResearchByDesign  Год назад +1

      That is true when you are constructing your hypotheses at the beginning. You are looking for a difference only. Once you have the findings, however, you can note that the outcome was higher (or lower) because you now know the actual direction of change. At the outset, you are looking for change in either direction. Hope that clarifies. Best!

  • @bigd199709
    @bigd199709 3 года назад

    t= NaN