Excellent video and wonderful explanation. This has been absolutely helpful for me

Best video I've seen on the topic.

Thanks. This is very helpful and explained very clearly.

literally helpful and amazing

what a useful video! excellent.

This tutorial is amazing

Excellent video!

@DataDemystified

2 жыл бұрын

Glad you liked it!

please explain on the interpretation of the factor loading

well done.

@DataDemystified

3 жыл бұрын

Thanks

Please, how does the Factor Analysis relate to Cronbach Alpha analysis. What is the difference and similarities.

Thank you for this video. so helpful. Question. I have a data set with 1003 participants. I used 16 questions exploring overall attitudes of grandparents. When i do the factor analysis on these questions extracts 4 components. However, when I split the file by gender, the males extract 5 components and the females 4. SPSS created 5 new variables. Should I not split the file?

Thanks, but after we have the factors as in your case five ones, how we can have single measure for all these factors. Since our objective by using factor analysis is to reduce the number of variables to only one variable

@herbhupfer1295

Жыл бұрын

The objective of FA is to reduce the data into fewer variables, not necessarily one.

Can we conduct the factor analysis of the each factor separately? Will that be possible?

Can you make a video on CATPCA?

Whats the rationale behind using "Correlation Matrix " instead of using "Covariance Matrix" in analysis?

@DataDemystified

3 жыл бұрын

Hi there. If you're referring to the anit-image correlation matrix, we use that to look at the diagonals. We are looking for measures of sampling adequacy at the individual item level (>.5 is considered adequate).

how can we conduct factor analysis if we only have dichotomous variables? Or is it's possible?

@vivekthaker7970

6 ай бұрын

Tetrachoric correlation matrix should help?

My results are acceptable in Promax but not oblimin rotation, can you guide why?

@DataDemystified

3 жыл бұрын

Hi Ankita. It's very hard to know what's going on without seeing data, but I'd probably start by asking why you chose a Promax rotation? That allows for correlations between your factors, which, in must contexts isn't ideal if you're trying to actually learn from the factors (it can be useful in ML contexts for purely data reduction purposes). That's why I recommend the varimax rotation as it maximizes the interpretability of the factors.

@ankitatibrewal6842

3 жыл бұрын

@@DataDemystified thanks for quick response , its antecedents and we expect correlation, and my guide asked me to use oblimin but promaz gives clearer pattern . Also, do you know whats is kappa in promax please?

@ankitatibrewal6842

3 жыл бұрын

I just tried bcoz both don't specify non correlations which is the case for my data

@DataDemystified

3 жыл бұрын

@@ankitatibrewal6842 Both rotations should yield very similar results. Again, without seeing the data, it's hard to say. Also, why are you running a factor analysis in the first place? Can you describe the situation more? It's hard to help with such limited information.

I need a help

You talk too fast.....