Sample size for Chi-Square test of Independence with G*Power

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  • čas přidán 27. 06. 2024
  • // Sample size for Chi-Square test of Independence with G*Power //
    In the run-up to an empirical study or data collection for the Chi-Square test of Indepdence (sometimes only referred to as only Chi-Square Test), the necessary sample size must be determined, for example using G*Power. The minimum sample size depends on the assumed effect size (Cohen's ω), the alpha level, the statistical power and the degrees of freedom.
    Here I show how to determine the recommended minimum sample size for the Chi-Square test of Indepdence with different characteristics of the input parameters mentioned using G*Power.
    The degrees of freedom are calculated from the number of rows - 1 multiplied with the number of columns -1.
    df = (r-1)*(c-1)
    Example: You want to test the possession of a drivers license (yes/no) with the place of living (Urban, suburban and rural county).
    df = (2-1)*(3-1) = 1*2 = 2 degrees of freedom.
    Download link:
    ============
    www.psychologie.hhu.de/arbeit...
    Doing a Chi-Square-test:
    ====================
    R: • Chi Square test of Ind...
    SPSS: • Chi Square test of Ind...
    Introduction to G*Power:
    ====================
    🎥 • G*Power: A (short) Beg...
    ⏰ Timestamps:
    ==============
    0:00 Introduction
    0:10 Selecting the Chi-Square test of Indepdence
    0:24 Select type of power analysis
    0:33 Input parameter I: Cohen's ω
    1:00 Input parameter II: alpha level (alpha error)
    1:17 Input parameter III: power (1-beta error)
    1:45 Input parameter IV: degrees of freedom
    2:11 Calculation and overview
    If you have any questions or suggestions regarding Chi-Square test of Indepdence - calculate required sample size with G*Power, please use the comment function. Thumbs up or down to decide if you found the video helpful.
    #useR #statorials
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    ===================
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Komentáře • 8

  • @penamargot1697
    @penamargot1697 Před 2 měsíci +1

    Thank you Björn !!

    • @statorials
      @statorials  Před 2 měsíci

      You're welcome. :-)
      Cheers, Björn.

  • @ayana6921
    @ayana6921 Před 7 měsíci +1

    Helpful...Thank you

    • @statorials
      @statorials  Před 7 měsíci

      Thanks, appreciate the positive feedback!
      Best Regards, Björn.

  • @chefberrypassionateresearcher

    Sir, how to calculate sample size using g power for doing MGA in smart pls, when i have 1 IV , 1 Moderator, and 1 DV in the pls sem model? I have 3 groups. How many samples do i need to have in each group?

    • @statorials
      @statorials  Před 2 měsíci

      Sorry, Smart PLS is nothing my discipline is concerned with. I cannot answer that question unfortunately.
      Cheers, Björn.

  • @BethanWhite-co7xb
    @BethanWhite-co7xb Před 2 měsíci

    How would you write this up in a report please :)

    • @statorials
      @statorials  Před 2 měsíci

      Hey, you can write something like this. For the Chi-Square test of Independence an a priori power analysis with ω = .3, α = .05, 95% power and 2 degress of freedom resulted in a minium required sample size of 172.
      Cheers, Björn.