Secret tips to increase Cronbach alpha value

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  • Опубликовано: 6 июл 2024
  • Learn the insider secrets to boosting your Cronbach alpha value in this informative video. Our expert will guide you through proven techniques and strategies for improving the reliability of your survey or test. Don't miss out on this valuable information for researchers and professionals. Watch now!

Комментарии • 29

  • @researchandanalysis4701
    @researchandanalysis4701  Год назад +3

    Creating videos takes time and effort, and if you found this one useful, please consider showing your appreciation by buying me a coffee. Your support makes it possible for me to keep making videos like this! www.buymeacoffee.com/kamranIqbal

  • @salmaabas90
    @salmaabas90 2 года назад +1

    Thank you, it was very helpful 🙏

  • @edwingonquoi2991
    @edwingonquoi2991 11 месяцев назад

    Thank you so kindly, you have solved my problem.

  • @ruthphiri2988
    @ruthphiri2988 9 месяцев назад +1

    Awesome, thank you 🙏

  • @Asing_K.Panmei01
    @Asing_K.Panmei01 Год назад +1

    Very very helpful. Thank you so much!

  • @awokeaya7909
    @awokeaya7909 Год назад +1

    the second case (row symmetry or item symmetry)....?

  • @azuki_gxcha
    @azuki_gxcha Год назад

    How if the data is scoring 1 & 0? How to look the variation?

  • @husseinalani2684
    @husseinalani2684 2 года назад

    thanks

  • @dr.muhammadamin1554
    @dr.muhammadamin1554 Год назад +1

    Got what i wanted to know. Thank you 😊

  • @lrswon8084
    @lrswon8084 2 года назад +2

    I have a question, I have three construct. The othe two was 0.7 and 0.8. but my third construct below 0.6. If I use the second method, does it affect other constructs since we delete responses? Do I need to test cronbach for other construct again after I delete the responses?

    • @researchandanalysis4701
      @researchandanalysis4701  2 года назад

      Exactly, if you delete a few of your responses, then you will need to check again the reliability of all your constructs.

  • @AKSHEHU2012
    @AKSHEHU2012 2 года назад +4

    Very short and direct guide. Thanks a lot for this video 🙏

  • @codedm2o153
    @codedm2o153 Год назад +1

    Thanks so much for the video.
    My question is, if you delete an item and you increase ur cronbach alpha, do you have to write to justify how you were able to make your data reliable?

    • @researchandanalysis4701
      @researchandanalysis4701  Год назад

      Sure! it will be better to provide the details about it. Remember, you will have to exclude problematic items throughout the analysis.

    • @codedm2o153
      @codedm2o153 Год назад

      @@researchandanalysis4701 ok.
      If I get you right, when finding the mean, regression analysis etc I have to take that item too out when doing that?

  • @rainydays9313
    @rainydays9313 2 года назад +1

    you saved me mam... Thank you

  • @rashikakumari2621
    @rashikakumari2621 Год назад +2

    How can we increase the AVE? My ave of constructs are coming around 0.4

    • @dr.muhammadamin1554
      @dr.muhammadamin1554 Год назад

      Please tell me when you got the solution to improve AVE. thankz

    • @rashikakumari2621
      @rashikakumari2621 Год назад

      ​@@dr.muhammadamin1554Delete the item of a construct with the lowest factor loading

  • @sehrishashraf2247
    @sehrishashraf2247 2 года назад

    can you plz guide me how to manipulate the data on spss

    • @researchandanalysis4701
      @researchandanalysis4701  2 года назад +2

      Please rely on your origins data. Data manipulation is unethical and unacceptable.

  • @ProfEaRTh11
    @ProfEaRTh11 2 года назад +1

    It appears that the ones that have been deleted are not the items themselves, but rather the responses of the respondents.

  • @user-il9vl4he2f
    @user-il9vl4he2f Год назад +1

    I TRIED THIS BUT REIABILITY IS DECREASING RATHER THAN INCREASING

  • @user-pj7be9wq5g
    @user-pj7be9wq5g Год назад

    Very helpful video, thank you for your efforts. Can you share your email?
    I am getting negative alpha value the reason is showing negative average covariance .