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Analysis says missing data but data set has no blank spaces

I'm completely confused why a simple analysis of descriptives is returning with missing values when in fact when I look at the data set there are absolutely no missing data points. I'd be happy to share the data set with anyone who might be able to help.

Sadly, statistical understanding is not my forte. I know I have a handle on the basics (aced my stats classes in graduate school in the 1970s, so very outdated) but this is just incomprehensible to me. I "could" try to just do it manually I guess and compare the outcomes. But that defeats the purpose of having a program do it.

All ideas are welcome.


  • For anyone else who has this problem, I did find a solution from a colleague who uses another packaged program (provided at great expense to her university but would not be possible for me to acquire). She noted that when she uploads files to that program as a .xlsx file that it adds blank lines to the bottom. Then, when she runs her analysis it shows missing data unless she first deletes those lines.

    So I tried this. I opened up my .csv file and just did a 'delete line' for well over the 7 supposedly missing (superstitious behavior on my part to do more than the number noted in the analysis). I synced my data between the updated .csv file and JASP and voila. Problem solved.

    So this might be a quirk with excel. At any rate, my missing data are no longer missing - given that they were never missing, to begin with. It was satisfying to know that it was my critical analysis of my statistical understanding.

  • My data do not having any missing, and it is based on a likert scale. I was advised to use ULS, but it keeps accusing missing data - I get the following message:

    FIML missing data handling only available with ML-type estimators

    What do I do?? the only method of extraction it accepts is ML, but my data are non-parametric.

  • In the "advanced" tab, you can set missing data handling to "listwise". The default (FIML) only works if all your variables are scale. It doesn't work with ULS.

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