Creating a Composite Variable (Weighted and Unweighted) using SPSS

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  • เผยแพร่เมื่อ 4 ธ.ค. 2024

ความคิดเห็น • 22

  • @audreyfrench7129
    @audreyfrench7129 5 ปีที่แล้ว +2

    This was great! Thank you for speaking slowly and keeping it simple!

  • @Vivi-cd4gs
    @Vivi-cd4gs 7 หลายเดือนก่อน

    Thank you so much! Your videos have really helped me throughout the years.

  • @jordanderkson7277
    @jordanderkson7277 10 หลายเดือนก่อน

    Dr. Todd Grande is the GOAT and I WON'T hear otherwise

  • @cboyles
    @cboyles 5 ปีที่แล้ว +2

    Thank you for the simple, clear explanation.

  • @sarahschopick
    @sarahschopick 2 ปีที่แล้ว

    Thank you so much for this simple explanation! You’re a lifesaver.

  • @mjaffre
    @mjaffre 4 ปีที่แล้ว

    Great explanation! Simple and clear! Highly appreciated, thank you so much Dr Todd! 👍

  • @MrBitviper
    @MrBitviper 3 ปีที่แล้ว

    nicely explained.... thanks for these tutorials

  • @md.ashfikurrahman2202
    @md.ashfikurrahman2202 5 ปีที่แล้ว +1

    Thank you very much for your assistance to learn about SPSS in details. Would you please demonstrate how Livelihood Vulnerability Index can be produced through SPSS or any simple way?

  • @krystleclear14
    @krystleclear14 7 ปีที่แล้ว

    The composite variable seems useful at analyzing multiple variables with the ease of looking at one sum score.

  • @ninastreet4630
    @ninastreet4630 7 ปีที่แล้ว

    Thank you for sharing. Very interesting information

  • @swatimehta4626
    @swatimehta4626 4 ปีที่แล้ว

    Dr. Grande your videos are really helpful!
    I have a dataset. I’m trying to run regression analysis using variables with frequencies and percentages. I am not sure if I should aggregate each variable (e.g., mean of each variable) to use in regression. Or if I should use weights (if so, then I’m not sure what that means and what I need to do on SPSS to use weighted variables). Or could I use the variables as they are (i.e., in frequency and percentages). Please provide guidance. Thank you!

  • @harshitabisht5402
    @harshitabisht5402 7 ปีที่แล้ว

    while purchasing which factor is most important which one is least important please rank them according to you choices.
    Product Composition (clothing) rank( )
    1) Style 2
    2) Color 4
    3) Fabric 1
    4) Appearance 3
    5) Fiber content 5
    for the same question many responses people gave according to their choices.
    can you suggest me test apply on this type of data on Spss

  • @mollynicola9758
    @mollynicola9758 5 ปีที่แล้ว

    Thanks for such a useful video. Can you direct me to any papers which outline this method of creating a composite variable? I would like to reference the method in my paper.

  • @MaherGeorgesElmashhara
    @MaherGeorgesElmashhara 6 ปีที่แล้ว +2

    Hello, I have, for example, 4 items measuring "Satisfaction", how do I calculate or what I use to measure the "Satisfaction Factor" so I can measure the correlation with other factors? Do I calculate the total of the 4 items? Or I calculate the "Mean" or the "Average"?
    Thank you,

    • @sabrisafaa730
      @sabrisafaa730 6 ปีที่แล้ว +1

      Hi. did you find an answer to your question? I have similar situation and still searching. thanks for sharing the information.

  • @kimeeshareedwalker3263
    @kimeeshareedwalker3263 7 ปีที่แล้ว

    Mathematics use is needed for this.This deserves more hands on to better understand how you know what to calculate. Good start though

  • @rickyzou1158
    @rickyzou1158 6 ปีที่แล้ว

    Thanks Todd!

    • @DrGrande
      @DrGrande  6 ปีที่แล้ว

      You're welcome!

  • @lorirandolph7987
    @lorirandolph7987 6 ปีที่แล้ว

    Dr. Grande I am trying to create a specific scatter plot. would you be able to help me find out what I'm doing wrong?

  • @godwinnerarwill2885
    @godwinnerarwill2885 4 ปีที่แล้ว

    Pls how about creating a composite variable in stata

  • @harshitabisht5402
    @harshitabisht5402 7 ปีที่แล้ว

    sir can you help me to analyze my data..............

    • @---wl3bi
      @---wl3bi 5 ปีที่แล้ว +1

      you have to be joking