Multicollinearity Using SPSS(how to find multicollinearity)(how to resolve multicollinearity)

Поделиться
HTML-код
  • Опубликовано: 16 авг 2021
  • / @ashulekha
    #multicollinearity#spss#researchmethodology#sem#spss#AMOS#smart PLS-SEM#smartpls-sem

Комментарии • 27

  • @mustofakamal214
    @mustofakamal214 9 часов назад

    Thanks for your wonderful presentation

  • @cerenturkdogan6021
    @cerenturkdogan6021 2 года назад +1

    I have watched many multicollinearity videos and finally I have found yours which is higly understandable. Subscribed ! Thanks !

  • @saharmona785
    @saharmona785 2 года назад

    Well Explained Mam👍keep it up

  • @bikilaganna3185
    @bikilaganna3185 Год назад +1

    Best clarification. Subscribed. Thanks

  • @eyerusm721
    @eyerusm721 2 года назад +1

    Very clear lecture tks Dr.👏👏

  • @widyarkusumaningrum7299
    @widyarkusumaningrum7299 Год назад

    In a scale study, I don't really determine the dependent and independent variables, but rather I am having 10 constructs that consist of 50 questions. If I use the mean score of the first construct from Q1,Q2,Q3,Q4. Would that be fine? thank you

  • @abigaila.jubilee6329
    @abigaila.jubilee6329 2 года назад

    Thank you for your video. Do you have any video how to remove the predictor or merge those predictors? Thank you

  • @legessebegashaw1101
    @legessebegashaw1101 Месяц назад

    Thank you

    • @abhimoni1325
      @abhimoni1325 10 дней назад

      We perform multicollinearity after reverse coding of the data or before that ?

  • @wajidmehmoodkhattakofficia755
    @wajidmehmoodkhattakofficia755 2 года назад +1

    subscribed to your channel..

  • @komalchaudhary16
    @komalchaudhary16 2 года назад

    mam how do you have these values of construct ? did u calculate them ? because in my data I have only items of constrcut.
    pls explain the calculation of the constructs like satisfaction?

  • @sethulakshmig2999
    @sethulakshmig2999 2 года назад

    Mam, May I ask one doubt? While analysing the mediation effect, the direct effect of the variable has been found to be negative and the indirect effect has been found to be positive. Is that justifiable?

  • @komalchaudhary16
    @komalchaudhary16 2 года назад

    mam, all 3 are mandatory conditions?

  • @triseetahazra2505
    @triseetahazra2505 10 месяцев назад

    How can I get the dataset

  • @shalludhiman5885
    @shalludhiman5885 Год назад

    Very nice explanation mam ... very well understood .
    Mam I have a doubt I am applying multiple regression having 1 dependent and 2 independent variables. Everything is going right but in the condition independent value is 18.53 and 24.97 which should be less than 15 as you mentioned. My query is how can we correct it .. thank you

  • @naveediqbal272
    @naveediqbal272 2 года назад

    Respected Mam
    Thankyou so much for the valuable information.
    Mam , kindly wanted to request for the "Sources / Reference" about mentioned values of Tolerance, VIF & Condition index as Less than 0.1 , more than 5 and less than 15 respectively for detection of multicollinearity. Actually I have to cite the reference in my paper please.
    With Regards Mam

  • @meseletadesse2723
    @meseletadesse2723 2 года назад

    how to resolve multicollinearity from Likert scale data

  • @aarti3180
    @aarti3180 2 года назад +1

    Ma'am what is the source/reference for these values?? I want to cite this in my paper.

    • @nurulsuhaiza7898
      @nurulsuhaiza7898 Год назад +1

      Did you get the reference. I want too

    • @Ashulekha
      @Ashulekha  Год назад +1

      Please refer various books available on Research Methodology

    • @aarti3180
      @aarti3180 Год назад

      @@nurulsuhaiza7898 no