SPSS 04: Convergent and Discriminant Validity of Scale

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  • Опубліковано 8 гру 2024

КОМЕНТАРІ • 33

  • @wong4728
    @wong4728 2 роки тому +1

    Jamaica here. This is a most excellent presentation.

  • @kwamegyekye3528
    @kwamegyekye3528 Рік тому +2

    Best and simplified explanation l have watched so far. Thank you 😊

  • @noonatatao687
    @noonatatao687 Місяць тому

    Thank you very much. Please tell me. Can i test these tow types of validity by testing the correlation between each item and its construct and between the constructs? Hope my question is clear.

    • @educationalinsightskarachi4969
      @educationalinsightskarachi4969  Місяць тому +1

      @@noonatatao687 Thanks for your question. You will need to calculate correlation among the items for convergent and discriminant validity.

  • @saharmona785
    @saharmona785 2 роки тому +1

    very informative👍

  • @drsureshraghavan9005
    @drsureshraghavan9005 5 місяців тому +1

    Checking the Convergent and Discriminant validity through Correlation matrix is for the initial stage only right ? How do you differentiate this method through, Average Variants extracted through factor analysis and the Composite Reliability method ? Or through CFA method ?

    • @educationalinsightskarachi4969
      @educationalinsightskarachi4969  5 місяців тому

      Definitely this will be an initial analysis. We should calculate AVE or assess data for FL condition too. You may visit this video on link below.
      ua-cam.com/video/-sHrebIWxBU/v-deo.htmlsi=3GhzNUKh3wUzXu7g

  • @rosacapallo7517
    @rosacapallo7517 2 роки тому +2

    Hi, any specific reason for selecting "one-tailed"; what if we choose to do it with two tailed? Regards

  • @usra9983
    @usra9983 2 роки тому +1

    Many thanks for your video , can you please explain how we report this in a written manner ( to publish it in a scientific Journal ). Should we do the PCA for each measure scale alone ? or for all the scales in the same time and how we interpreted the results of the PCA ?

    • @educationalinsightskarachi4969
      @educationalinsightskarachi4969  2 роки тому

      thank you so much for your kind words. I will share a link to the written interpretation soon.

    • @usra9983
      @usra9983 2 роки тому

      @@educationalinsightskarachi4969 many thanks it's much appreciated

  • @kossonouprunelle7576
    @kossonouprunelle7576 2 роки тому +1

    PLEASE, Is exploratory factor analysis the same as convergent and discriminant validity? I am a little bit confused. Thanks in advance for your reply. Should we do both convergent and discriminant validity, construct validity using EFA in one study?

  • @juliagabrielh
    @juliagabrielh Рік тому

    Is the validity also affected by the size of sample? I use the sample size of 30 and it shows less correlation among several indicators in some variables.

  • @wong4728
    @wong4728 2 роки тому +1

    Follow up video is needed on reporting findings. The actual report.

  • @komalanand4325
    @komalanand4325 2 роки тому +1

    Your video is really good,,,,You explained that the values should be between 0.3 and 0.7,,,,for discriminate you said it should be below...can you pls tell the reference

    • @educationalinsightskarachi4969
      @educationalinsightskarachi4969  2 роки тому +1

      Thanks, Komal. This explanation is based on two references.
      1. John, O. P., & Benet-Martínez, V. (2000). Measurement: reliability, construct validation, and scale construction. In H. T. Reis & C. M. Judd (Eds.), Handbook of research methods in social and personality psychology (pp. 339-369). Cambridge: Cambridge University Press.
      This study stipulates that correlation items within the construct should be greater than outside the construct.
      2. Ratner, B. The correlation coefficient: Its values range between +1/−1, or do they?. J Target Meas Anal Mark 17, 139-142 (2009). doi.org/10.1057/jt.2009.5
      Values between 0.3 and 0.7 (-0.3 and −0.7) indicate a moderate positive (negative) linear relationship.

    • @educationalinsightskarachi4969
      @educationalinsightskarachi4969  2 роки тому

      ua-cam.com/video/uA9b79Yu--c/v-deo.html
      I have calculated the HTMT ratios based on these correlations in this video based on the following reference.
      Henseler, J., Ringle, C.M. & Sarstedt, M. A new criterion for assessing discriminant validity in variance-based structural equation modelling. J. of the Acad. Mark. Sci. 43, 115-135 (2015). doi.org/10.1007/s11747-014-0403-8

  • @shafacindanusabila5229
    @shafacindanusabila5229 2 роки тому

    Hello, thank you for the video. I have a question. I saw your another video, it explains how to assessing discriminant validity using HTMT or Fornell-Larcker. Are we just choose one between this method, HTMT, or Fornell-Lacker? Or, is there some condition when we can use this or that? Can I just use this method for assessing convergent and discriminant validity? Thank you in advance.

    • @educationalinsightskarachi4969
      @educationalinsightskarachi4969  2 роки тому

      Fornell Larcker condition was developed first. Later, in 2015, HTMT ratios approaxh emeregd and refuted the use of Fornell Larcker. However, some journals might requie one particular assessment.

    • @shafacindanusabila5229
      @shafacindanusabila5229 2 роки тому

      @@educationalinsightskarachi4969 what about using the pearson's correlation?

    • @educationalinsightskarachi4969
      @educationalinsightskarachi4969  2 роки тому

      @@shafacindanusabila5229 ​This is still a valid approach. The HTMT ratio assessment is an advancement in the approach of assessing the correlation of items within a construct and outside the construct. John, O. P., and Benet-Martínez, V. (2000) proposed comparing items correlation of the items. Later, Henseler et al. (2015) developed the HTMT ratio which is basically a ratio between the correlation of items within the construct and the correlation of items with the items of other constructs.
      John, O. P., & Benet-Martínez, V. (2000). Measurement: reliability, construct validation, and scale construction. In H. T. Reis & C. M. Judd (Eds.), Handbook of research methods in social and personality psychology (pp. 339-369). Cambridge: Cambridge University Press.
      Henseler, J., Ringle, C.M. & Sarstedt, M. A new criterion for assessing discriminant validity in variance-based structural equation modeling. J. of the Acad. Mark. Sci. 43, 115-135 (2015). doi.org/10.1007/s11747-014-0403-8

    • @educationalinsightskarachi4969
      @educationalinsightskarachi4969  2 роки тому

      @@shafacindanusabila5229 Probably, you can first write an interpretation of Fornell Larcker's condition. Then, compare the correlation of items. Finally, close with HTMT ratios.

  • @chitrasingh9800
    @chitrasingh9800 2 роки тому +1

    nice

  • @gigi-km5tj
    @gigi-km5tj Рік тому

    Thanks but the video lacks clarity