Two-step clustering using SPSS | A quick and effective guide

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  • čas přidán 22. 08. 2024

Komentáře • 31

  • @agathakessler2380
    @agathakessler2380 Před 3 lety +1

    Excellent explanation. This is the best two-step cluster analysis video. Thank you :)

  • @sonjabrachtl2186
    @sonjabrachtl2186 Před 2 lety

    Thank you so much for this video! It is the best explanation about two-step cluster analysis here on youtube :). Now I really understand how to run and interpret this analysis ;)

  • @deniskipchirchir3150
    @deniskipchirchir3150 Před rokem +1

    Hi, thanks for this video, really helpful. I noticed that when conducting the last t-test you didn't change the grouping variable to reflect the second cluster grouping (without gender) that's why you still had insignificant differences in comprehension scores

  • @Team-DrQ
    @Team-DrQ Před 12 dny

    Hi, thank you for your video. I have one question about running the T-test after Clustering. Should we consider the normality of the data when running a T-test with generated clusters? Is it important to check if all the data is normally distributed?

  • @danielasamoahbrempong4161

    I have learned a lot from your videos. Kudos, Dr! Please what's the best way to estimate the mean from a Likert Scale (1-strongly disagree to 5-strongly agree)? Assume that I have transformed my data from ordinal to the interval (person measures) and I want to conduct a one-sample t-test. Thank you.

  • @cerebralintelligence1371
    @cerebralintelligence1371 Před 9 měsíci

    The Auto-Clustering table does not show up. Any explanation on why this table is not displayed? I followed every step in this video and spss does not produce this metric table.

  • @qtmadesimple7140
    @qtmadesimple7140 Před 6 měsíci

    Hi excellent video can I get the data set for practice

  • @chefberrypassionateresearcher

    Professor, Can i do Hierarchial cluster analysis, using 4 individual Likert items (each measured on a 5 point scale). These 4 items assess attitude of respondent, and they constitute a single latent variable, in my study.

    • @VahidAryadoust
      @VahidAryadoust  Před 4 měsíci

      it depends on the characteristics of the data.

  • @larasgilangrahmany289
    @larasgilangrahmany289 Před 2 lety +1

    Helo, Dr! My name is Laras and currently working on research about Analyze segmentation customer using Post-Hoc Method with two step cluster and I'm stuck and I need help, i dont know where to ask because my professor in university is not understanding about clustering stuff like this :( Dr, please can you help me? maybe i can contact you personally related my questions because i'm very lost sir. Thank you so much, i'll be waiting your response

  • @larasgilangrahmany289
    @larasgilangrahmany289 Před 2 lety

    Hi, sir. I hope you are doing well and have a wonderful holiday and merry christmas sir! I want to ask a question related to steps of doing two step cluster : Do we have to use CF Tree first for PRECLUSTERING phase before doing the final clustering using BIC/AIC? I really hope you can answer me this time sir :') thank you so much

    • @VahidAryadoust
      @VahidAryadoust  Před 2 lety

      Yes, you could do that.

    • @larasgilangrahmany289
      @larasgilangrahmany289 Před 2 lety

      @@VahidAryadoust But, if i only use the BIC/AIC without Cf tree, is alright?

    • @VahidAryadoust
      @VahidAryadoust  Před 2 lety

      @@larasgilangrahmany289 BIC/AIC is used for model comparison (.g., you have 2 or more models and you want to find the best among them). Read the following about CF trees:
      www.ibm.com/docs/en/spss-statistics/24.0.0?topic=analysis-twostep-cluster-options

    • @larasgilangrahmany289
      @larasgilangrahmany289 Před 2 lety

      @@VahidAryadoust thank you! can i know what factors that effect some variable can contribute to create the cluster? im talking about the purple table in predictor importance. Thank u so muchh, i hope u can answer me again this time :') in 2 days i will have my test related to my research using two step clusterr

  • @larasgilangrahmany289
    @larasgilangrahmany289 Před 2 lety

    Sir, what does it means when the Ratio of sizes is 2.78? Is it good or bad? and you said in the video "ideally it should be less than 2" Can i know based on what? i mean the journal or theory resource, who said that better it should be less than 2 or 3?

    • @VahidAryadoust
      @VahidAryadoust  Před 2 lety

      What ration is that? not sure exactly what you are referring to.

    • @larasgilangrahmany289
      @larasgilangrahmany289 Před 2 lety

      @@VahidAryadoust It's in the Cluster Sizes table and pie chart sir, the one that shows you the Ratio of Sizes Largest to Smallest Cluster/Size of smallest cluster/Largest cluster, from the two step clustering system SPSS in your video sir

    • @larasgilangrahmany289
      @larasgilangrahmany289 Před 2 lety

      @@VahidAryadoust If you watch in the video at 19:20 the result of your ratio of sizes is 1.04, you said that "its good if the ratio of sizes less than 3 and ideally should less than 2, the closer you get to 1, the better it is"

    • @larasgilangrahmany289
      @larasgilangrahmany289 Před 2 lety

      @@VahidAryadoust What i'm asking for is, do you have any journal or research reference that state "less than 3 is good" or basically why Ratio of sizes less than 3 is good?

    • @VahidAryadoust
      @VahidAryadoust  Před 2 lety

      @@larasgilangrahmany289 I would start off by looking at the fit statistics first; if the fit of a solution / model is better, i would select that. However, if the size of one cluster in that solution is disproportionately larger/smaller than the rest, I might want to move to the second best model.