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I cannot convert Age, Gender, Income, and Region to Dependent Variables

Hello,

This issue is a roadblock to my dissertation. I have my data, which was obtained from SurveyMonkey.

A 36-question HAIS-Q .csv file that has 265 responses

I need to use Age, Gender, Income, and Region as dependent variables, but I am receiving an error message

Those columns at present have the 'nominal' symbol

I am trying to change them to 'Scale' because I have read this must be done for them to be counted as dependent variables in the tests I want to run

Comments

  • This is the error I am getting

  • You need to remove the first row of your data (it all says "response"). All your variables will be text.

    In general (JASP and other statistics software), the first row is the column names, all subsequent rows are values. Now it's like you have two header rows (first and second row are column names).

  • Patc3,

    I really appreciate your response

    I've attached my dataset

    Which row needs to be removed?

    Thank you!!!

  • Hi. In addition to removing the 1st row, there are some basic ideas you need to keep in mind. Any "scale" (i.e., "continuous") variable needs to consist of numbers. However, your age values aren't numbers (numbers don't have hyphens in them). Your income values aren't numbers either since they include dollar signs and hyphens. Your gender values obviously aren't numbers either. So, you may want to consult with your dissertation advisor, or a tutor, on strategies for transforming/re-coding your data to prepare it for analysis.

    R

  • Thank you Andersony3k...this really helps me

  • What number values should I convert Male and Female to?

    I changed the value for male to the number 1 in my .csv file after filtering responses to male-only in Survey Monkey

    I successfully changed the gender column to 'scale', and now I can use this column as a dependent variable...which is great news...I ran a linear regression

    On the ANOVA test however...it says, 'The variance in Gender is equal to 0'

    Is this because I am only including Male responses on this particular test?

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