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Great video!

HYE I WANT TO ASK, AT MY OUTPUT VIEWER IT DOES NOT APPEAR THE MEAN, STANDARD DEVIATION AND ETC. HOW CAN I SOLVE IT?

Thank you very much for this video!!! From Sri Lanka!!!

THANKS!

very useful. Thank you from a PhD student.

Since no one else has left a message, I will. Eventhough it's 5 years ago you really helped me here, thanks!

This is a lifesaver. Thank you for this!

Another great video! So what do you derive from this - sk slightly to the left of mean and kt slightly below. is this a comment on our sample and that there is likely bias? how would you report on this to stakeholders?

great tutorial. I noticed you only code up to the first 3 mentioned brands. was there a specific reason you went with 3, not 2 or 5? Is this based on some theory or is this best practice or some other reasoning behind the magic number?

Thanks!

This video was SUPER helpful!! Thank you for making this video!!

Thank you for the helpful video. I was able to follow along very easily.

Thank you so much sister With this I became your one of subscriber thankyou 🙏🙏

Something to note that isn't explained here whilst Cleaning data. What does it mean for Status to 8 (not 1: Preview or 2:Actual Respondents)???

thanks for explaining, i wonder, if i want to use binary logistic, then which variables should I use? mean variables or factor scores?

Tip/Warning: "Progress" can be misleading when you use conditional questions (with logic) in your surveys. In surveys with these type of questions, it might be low for a participant but it's because some questions just didn't appear for him/her.

Probably the most boring and monotonous video I have ever seen

Great Video! Easy to follow. Thanks.

very nice. I am a PhD research Fellow. I need wide variety of such kind analysis..

Brilliant. Searched for days to get an explanation offered in this vid. Thank you!!!! Your amazing.

Thank you so much for this! Super easy to follow and very useful.

It is easy to follow but you need to slow down.

GNU pspp 1.4.1 now has the ability to append the cluster index and the Euclidean distance to the dataset. The syntax now has a /Save option QUICK CLUSTER var_list [/CRITERIA=CLUSTERS(k) [MXITER(max_iter)] CONVERGE(epsilon) [NOINITIAL]] [/MISSING={EXCLUDE,INCLUDE} {LISTWISE, PAIRWISE}] [/PRINT={INITIAL} {CLUSTER}] [/SAVE[=[CLUSTER[(membership_var)]] [DISTANCE[(distance_var)]]] This adds 2 columns to your dataset: QUICK CLUSTER per1 per2 per3 per4 per5 /CRITERIA=CLUSTERS(4) /PRINT=CLUSTER /SAVE=CLUSTER DISTANCE. QCL_0 and QCL_1 The QCL_0 column contains the cluster index for the record. The QCL_1 column contains the Euclidean Distance from the cluster centre for the record.

Thank you, this was very helpful.

Nice and easy to follow. Thanks!

Thank you for this video! It’s very easy to grasp. Quick question please, can I generate a unique identifier from participants other variables, like there DOB and parents initial? Thank you.

Thanks a lot. You saved my day. I thought of giving up. But not anymore. All thanks to you ❤🙏

Thank you So much for explaining it so very well. Helped me a lot!

Thank you so much! straightforward and simple.

if not what can we do for using regression analysis after EFA for ordinal data? thanks

can we do the same for ordinal variables?

Hi Toni! Great video, helped a lot. However, I recommend you to blur the IP addresses because it's a violation of personal information.

You mentioned having to change the first four statements values and leaving the negatively worded one as is. Could you explain why it's done that way rather than changing the one negatively phrased statement?

It's 3 am here and I found this! Couldn't ask for a better video than this. Thanks a lot!

Sorry perhaps this is a stupid question, but is it in any way possible to combine Cluster Analysis and SEM? Briefly: I want to, on one side, reduce heterogeneity in a sample by clustering subjects by the score on a cognitive battery, on the other I want to analyse the mediation effect of variable A on a variable B in the same sample (and potentially use SEM here) , somehow considering cluster membership within the model. Not sure it´s clear enough...but thank you anyways!

Fantastic video! Answered a lot of questions I had. Thanks a lot.

Hi there, could I please email you for further support?

Thanks you video was very helpful. Regards.

Gude alder Labbeduddel halt die worscht hoch

soo good

Good explanation and tutorial .in my opinion... u should mentioned at the title of your video upload which software u use or u gonna show... easy for viewer to find what they r looking for ..thanks

Amazing tutorial! Number one! Thanks a lot!

Wow.. i tried many videos,, but I understood only this.

Dr Eagar, could I please know the name of the text you have used in this video? Thank you very much for your help

how did you calculate % mentions

how did you create the satisfaction variable? What is in the satisfaction variable btw?

Thank you so much for showing whole flow of the process of the EFA into the regression. Just one thing I am unsure about is when to use factor score and mean score for conducting a regression.

Dr Eagar, any possibility of obtaining the demo file? Thank you very much for your help

What?

Thank you, helps me quite a lot! I would like to ask - is the satisfaction variable in the data table a mean of a set of variables, or was that conducted separately? I feel really lost to understand that.