K-means cluster analysis SPSS

In this video I show how to conduct a k-means cluster analysis in SPSS, and then how to use a saved cluster membership number to do an ANOVA

[nedarezapour]

Your voice in this video is so good for teaching cause it doesn’t make me sleep. Thanks for good information

[oumasstabdallah]

You were the best to explain k-means . congratulation.
You just have to avoid making confusion mistakes during explanation because actually student i mean beginners, don't like that, and if they dont like that they will can't put you a like because they already swallow it with confusion

[Dhindsa]

Hi James! I really don't know how to thank you. I've been watching your videos for over a week and I find them really useful. Thank you again.

[india]

one of the best explaination i have seen! sir.. you are required in good mba schools! i am studying in one of the best mba schools and they dont teach as good as you have!

[michaelm]

Good video, James! Excellent way of talking of talking us through the subject.

[dr.shekhartrivedi]

It's really great James for sharing some finer points.

[galuhprawitasari]

Million of thanks for your video james 🙏

[uroojsiddiqui]

Hello Mr. James...I find your videos really helpful...I would like you to thank a

[andreapetratrenka]

You are literally saving my life right now, thank you so much for this video!

[AdaRadulescu]

Thanks so much for this video! Saved a lot of my time on preparing the final paper.

[Joppe]

Hi James, I am researching three different educational levels (low, mid, high) with the Life Value Inventory from Duanne Brown (1996). The respondents filled in a 5 item Likert scale, from which I have the results positively tested with Cronbach's Alpha. Now I want to compare the results from these three focus groups, possibly by K-means cluster analysis. How to I set my three levels of education as you set your restaurants?


In my case:
- Burgers = students
- Nutrient levels = Likert scale results
- Restaurant = educational levels

[Live_life_with_no_regrets]

Very helpful but I'm confused concerning my variables. I'm looking at three psychological variables (independent) in relation to test performance (dependent). Do I have to throw all variables in K-means and compare how clusters are formed or do I have only to throw the independent and hen profile participants and run ANOVA with the dependent test scores and see how test scores relate to participants' profiles?

[SGH-rtci]

Thank you. What was important to me - type of variables, whether we standardize them-) thanks

[uroojsiddiqui]

recently i was doing cluster analysis and your video helped a lot. I would like you ask you if I have two clusters then how to find out the centre of each cluster...i.e. mean of low and high categories

[zegltml]

thank you very much! but there is still one thing i don't understand, if i have questioners and i want the results of all subjects to be divided to 2 groups using this method, but i don't want it to be divided randomly, i want to decide by other variable for example gender and see the results. where do i choose gender? thanks again

[emnacherif]

Hello James, Thank you very much for your videos, they helped me lot. I am wondering how to apply the elbow method with K-means cluster to identify the number of clusters? do you have any idea please? Thank you

[jtaveras]

James, great videos. Why do you say k-means is your least favorite? How is it different from 2-step? Aside from the 2-step in spss being so much more visually appealing.

[pengxu]

Hi James, thanks for the video. But I am wondering why anova table is concerned here, as clustering is descriptive, so it's not making any inference to a population, in this case why would I care if it's statistically significant?

[edonuzi]

Hi James, Thanks for the video! please, how do I combine k-means with mlp in an ensemble form using ibm spss?

[tarachandmahur]

Hi James! very helpful video. Thanks.

Could you help me to test a hypotheses? Hypotheses is " There is no impact of Promotional Strategies on Consumer's buying decisions in online shopping."
The Question I have a framed as follows:
Level of influence on buying decisions (likert scale) Strategies Extremely very much moderately slightly not at
1.Deals & Discounts influenced influenced influenced influenced influenced
2.Coupon codes
3. Loyalty program
4. Fast delivery option
5. try & buy option
Please help me which statistics should I use for testing the hypotheses?