Questionnaire Data Preparation in R

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  • Опубліковано 30 бер 2019

КОМЕНТАРІ • 21

  • @madhawarock
    @madhawarock 3 роки тому +1

    Thanks for the video! I really liked how you organize your code by commenting. It made it easier to follow along.

  • @jaedybro362
    @jaedybro362 3 роки тому +1

    This is just what I need right now and it's so well explained!! Thank you for this ❤️

  • @bhupinders.jaryal8404
    @bhupinders.jaryal8404 2 роки тому

    Very nice and helpful
    Keep doing such incredible work
    With regards

  • @TheJulz
    @TheJulz 3 роки тому +2

    Very helpful, thank you!
    Do videos like this exist for the other weeks?

    • @georgeharrison8418
      @georgeharrison8418  3 роки тому

      Thanks for the support. Eventually, more will be up there. The number of the week is somewhat arbitrary.

  • @okposioemmanuel7223
    @okposioemmanuel7223 3 роки тому +2

    hello, how do i get the data and the R code?

  • @zebkhan715
    @zebkhan715 3 роки тому

    Hello Sir, I'm Zeb. Find your video after searching for R how to get started my questionnaire data. I'm completely new for this software and don't have any idea how to get started. I need to conduct Wilcoxon-Mann-Whitney test for a 5 point likert scale. Please any direction, guidance, and or any other way to at least start. Thanks in advance

  • @stefaniaceligarofalo9402
    @stefaniaceligarofalo9402 4 роки тому

    Hi, where I can find the data set week13_Timss_Mock_Raw.cvs?

  • @avinashbachani3285
    @avinashbachani3285 4 роки тому

    Hello. I have done coding of questionaire survey in excel. I want to run T test analysis in R? If i can do or i have to code again in R studio?

    • @georgeharrison8418
      @georgeharrison8418  4 роки тому

      The t.test() function in R has several arguments that you can use to specify the variable(s) and whether you want a one-sample, two-sample, or paired t-test. Use *_?t.test_* in R to see the examples in R's help file.

  • @usifkargbo5687
    @usifkargbo5687 2 роки тому

    Hello, thank you very much for this wonderful video, please can you send us the slides pdf you recommended

  • @asgharminaei7485
    @asgharminaei7485 2 роки тому

    Hi Dear George
    How I can download the R codes file?

  • @isharethestory
    @isharethestory 3 роки тому

    This is very good video but I couldn't find the R script

  • @Sama-ui2re
    @Sama-ui2re 3 роки тому

    I didnt understand if likert scaled items should be int or num ? Can somebody explain it to me why some itmes are int and some are num?

    • @georgeharrison8418
      @georgeharrison8418  3 роки тому

      When the data are read in using the `read.csv()` function, we expect columns of Likert-type scale data to be integers. If they are numeric, it might be because there is a decimal point in at least one of the cells in the column in the CSV file, which is not the typical format used for Likert-type scale data. However, if we perform a mathematical operation on an integer--even if we simply multiply it by 1--and create a new variable from that operation, R will treat the new variable as numeric.

    • @Sama-ui2re
      @Sama-ui2re 3 роки тому +1

      @@georgeharrison8418 aaah so it means that likert scaled items should be ints but R treats them like num when doing sth with it. But that makes sense bc we wanna know means etc of items, right?

    • @georgeharrison8418
      @georgeharrison8418  3 роки тому

      @@Sama-ui2re That makes sense, though some statisticians argue against calculating the means of Likert-type items that are arguably ordered-categorical ("ordinal"). It's less contentious to calculate a composite variable as a sum or a mean across several items.

  • @peterasarenuamah
    @peterasarenuamah 5 місяців тому

    The video is good, but I am sorry the presentation is poorly done because you can hardly read what the person is showing, and it seems he is doing it for himself and not for others to read/see what he is doing. How I wish it could be presented in a way that is easy to read and practice because the video is really good.