How to deal with Missing Data using SPSS ? Patterns and Methods to deal with missing data

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  • Опубликовано: 3 окт 2024

Комментарии • 13

  • @mikojavier2435
    @mikojavier2435 Год назад +2

    Thank you, this tutorial is very easy to follow especially for someone who has a love hate relationship with stats. Good luck always in your endeavors.

  • @Belaynehyitayew-x7l
    @Belaynehyitayew-x7l Месяц назад

    Thanks alot

  • @menusuriyaarachchi598
    @menusuriyaarachchi598 2 года назад +1

    Thank you❤

  • @mkcacadamy8222
    @mkcacadamy8222 11 месяцев назад

    brilliant

  • @amosansah8968
    @amosansah8968 2 года назад

    Very helpful. Thanks

  • @bassamalsheakhly1889
    @bassamalsheakhly1889 Год назад +1

    thanks

  • @Alfa1M
    @Alfa1M 2 года назад

    Thank you sir !

  • @alaaadel5813
    @alaaadel5813 Год назад +2

    For categorical variable, Shall I encode the variables first?

  • @sondreherstad9016
    @sondreherstad9016 Год назад

    Thank you! Is it possible to use EM in SPSS to impute categorical variables?

  • @FiniteAnarchy
    @FiniteAnarchy Год назад +1

    When doing regression method for missing data, do the variables have to be interval level variables, or can they be categorical (beyond dichotomous)?

  • @harjaskaurji
    @harjaskaurji Год назад

    There is no missing value analysis option in my spss. What should I do?

    • @MyEasyStatistics
      @MyEasyStatistics  Год назад

      You are using the old SPSS version

    • @harjaskaurji
      @harjaskaurji Год назад

      @@MyEasyStatistics I am using spss 28.0. Half of my analysis is done through this version. Can you please tell according to this version? I would really appreciate it.