What are the basics of data entry in SPSS for factor analysis?

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Bhaswati Das Popular answer

For factor analysis data entry in SPSS is not different than you do for other analysis. However, for data reduction through factor analysis, theoretical grounding of the variables are essential. Do not leave that choice to the software. You will definitely get some tables generated, but may not be very useful.

Bhaswati Das

Dr. Senthilvel Vasudevan

Hi,

Kindly see the following links:

https://www.youtube.com/watch?v=UYxboC27190

http://www.ats.ucla.edu/stat/spss/modules/dataed.htm

http://www.academia.dk/BiologiskAntropologi/Epidemiologi/PDF/SPSS_Survival_Manual_Ver12.pdf

Helena Pestana

Dear Rajat,

Please see the file attached. I hope you understand portuguese (use google translator).

But if you have any problem please let me know

Rajiv Pandey

Dear Rajat

Factor analysis is an art as well as science. So please see the theoretical settings for the research under consideration. The attachment may be of some use.

Regards

rajiv

Chapter A note on the Factor Analysis in Forestry Sciences

David L Morgan

I agree with Bhaswati that the data entry is in the standard format of variables in the columns and cases in the rows.

there have been so many questions about simple factor analysis here that I have recreated a set of resources on that (and another related topic):

https://www.researchgate.net/post/How_can_one_help_people_create_simple_scales_from_Likert-scored_items

Huda A. Rasheed

Hi Rajat ,

See these URL please:

https://www.youtube.com/watch?v=znrfcV4ZvlQ

https://www.youtube.com/watch?v=iDT0tjU1TWo

https://www.youtube.com/watch?v=zbVgktUO8y8

Rajasekharan Pillai

Dear Dr. Roy

Check out the following prior to doing Factor analysis:

We have a set of questions to understand behavioural /attitudinal perceptions in interval scale

Minimum number of samples. though there is no hard and fast rule regarding this, a thumb rule states that the number of samples must at least be five times the number of items (questions) identified to explain the concept

Negative questions are reverse coded, while entering data into SPSS

Do KMO and Bartlett test for spericity (KMO value must be above 0.7 to ensure the sampling adequacy and Sphericity measure (CHi-square)should be statistically significant.

Good luck