How to perform Principal component Analysis (PCA) on LIKERT SCALE ITEMS for QUESTIONNAIRE using SPSS

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  • Опубліковано 11 гру 2024

КОМЕНТАРІ • 8

  • @TheExtraordinaryview
    @TheExtraordinaryview 2 місяці тому

    Really nice! Can you please tell how to watch the videos which are meant for members only? Is there any membership option?

  • @priyagupta-ht2xb
    @priyagupta-ht2xb 2 місяці тому

    Sir, I have to create an index (weighted). Can I assign weight through PLA to different components based on their importance? Please give some steps for this

    • @theoutlier7395
      @theoutlier7395  2 місяці тому

      Multiply the original variables by their corresponding component scores (from the PCA loadings).
      Sum the weighted scores to obtain the final index.

  • @priyagupta-ht2xb
    @priyagupta-ht2xb 2 місяці тому

    Is it ok to consider the item belongs to that component where the item itself indicates higher loading

    • @theoutlier7395
      @theoutlier7395  2 місяці тому

      yes those items have a high loading you can consider rest please ignore

  • @alishbarahmanullah9144
    @alishbarahmanullah9144 3 місяці тому

    I have 7 variables, and 37 items, while performing PCA analysis, fixed number of factor ( how many should i keep, 7 or should i leave it empty for software to decide?