JASP/Excel - Hierarchical Multiple Regression Example

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  • Опубликовано: 21 авг 2024

Комментарии • 6

  • @jamesocaya7511
    @jamesocaya7511 Год назад

    Hello. I have just come across your video. It is really great. I need some help with performing this kind of analysis on some data I have. How can I reach you?

    • @StatisticsofDOOM
      @StatisticsofDOOM  Год назад

      Hi, I'm not sure I have time for complicated questions but happy to answer easy ones here.

    • @jamesocaya7511
      @jamesocaya7511 Год назад

      @@StatisticsofDOOM Hello! Thanks for the response and here is the question:
      I have a cohort of students who wrote Junior secondary school exams two years after they wrote Primary school examinations. Their scores appear as JnrSCORE and PriSCORE respectively. From their results I have worked out the “Value added” (VA) for each one of the students. The region in which they studied (REGION) is also included.
      I would like to perform a hierarchical linear regression on my data with the dependent variable being VA and the covariates as male/female, primary school score and the school region (REGION) in which they wrote their examinations. I think I can work this out but some help would be welcome.
      The main problem is that I would like to incorporate similar data for the third exams which the student write after another two years, the SnrSCORE. How should I analyze this data so that I get information about the progress of females and male students throughout the three examinations?

    • @jamesocaya7511
      @jamesocaya7511 Год назад

      I don't know how to send a sample of the data to you...

    • @StatisticsofDOOM
      @StatisticsofDOOM  Год назад +1

      ​@@jamesocaya7511 Potentially you could add a variable of time and include this in the analysis, so each person would have a score for time 1 and time 2. However, this analysis would need to be a multilevel model.

    • @jamesocaya7511
      @jamesocaya7511 Год назад

      @@StatisticsofDOOM Thank s for the advice!