Factor Analysis in SPSS (SPSS Tutorial Video #32)

In this video I describe how to conduct and interpret the results of a Factor Analysis in SPSS. I go through the steps to verify that factor analysis is a valid approach given your data (Bartlett's Test of Sphericity, KMO, Anti-Image Correlation MSAs), help you define how to determine the number of factors to use, and finally, show you how to interpret the factor loadings and factor scores.
This SPSS tutorial series is designed to teach you the basics of how to analyze and interpret the results of data using SPSS. I will cover everything from the very basics of the main windows within SPSS, to manipulating data, to running and interpreting meaningful analyses like t-tests, ANOVA, regression, and many more, and visualizing results.
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[@renesubieta2862]

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

[@hanyi3318]

literally helpful and amazing

[@vivekthaker7970]

Best video I've seen on the topic.

[@elviedavid8250]

Thanks. This is very helpful and explained very clearly.

[@leratomphahlele3999]

what a useful video! excellent.

[@anhang9418]

This tutorial is amazing

[@jeremysayer8680]

Excellent video!

[@DataDemystified]

Glad you liked it!

[@kewlbeone5949]

well done.

[@DataDemystified]

Thanks

[@kwamefrimpongemmanuel8972]

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

[@user-dk1ql4jk6q]

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

[@dudleychancey]

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?

[@reezapearlfernandes4682]

please explain on the interpretation of the factor loading

[@beatrisapucalev3943]

Can you make a video on CATPCA?

[@barhom11eriqat98]

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]

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

[@halehmoradi6323]

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

[@vivekthaker7970]

Tetrachoric correlation matrix should help?

[@tamimahmed2450]

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

[@DataDemystified]

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).

[@ankitatibrewal6842]

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

[@DataDemystified]

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]

@@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]

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

[@DataDemystified]

@@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.

[@ahmedshiyam8669]

I need a help

[@emmanuelakpaklikwasi4300]

You talk too fast.....