# How to analyze a 34 item standardised survey purportedly measuring 6 dimensions using SPSS?

I am currently analyzing a 34-item standardized survey on Physics expectations. I gathered data from 104 female respondents from a certain school. The survey's supporting literature said that the survey measures 6 specific dimensions, with each dimension corresponding to 5-6 items. My professor asked me to conduct SPSS analysis on the data aside from the usual mean and standard deviation. Now, I am in the dilemma of identifying the correct statistical analysis to apply using the SPSS.

This is a project for a Statistics class, and we have no specific questions to answer. We are just asked to make meaning from the gathered data out of various statistical methods. Thank you very much for the response.

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I wrote a post a while back about some basic analyses that people often perform on correlational survey type datasets using SPSS. The outline of the post:

1. Get the raw data into SPSS
3. Check data
4. Compute Variables
5. Describing scale properties (reliability analysis and factor analysis)
6. Calculate univariate descriptive statistics
7. Obtain correlation matrix
8. Perform model testing

The post is designed for students in applied fields who are getting started with basic analyses using SPSS. It includes links to assorted SPSS tutorials.

In particular, given the description of your task, it sounds like factor analysis might be particularly relevant to you in order to check whether your data is consistent with the factor structure of the scale.

As for what model testing you might do, that would depend on what other variables you have in the dataset and what is theoretically interesting.

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thanks for this, Jeromy! If I do factor analysis, what measures can tell me that my data is consistent to the factor structure of the scale? –  Deah Jun 17 '12 at 7:29
@Deah It sounds like you need to read more about factor analysis. At a really basic level, extract the specified number of factors in the test with a rotation and see whether the items have highest loadings on factors as specified by the test. There's a lot more you could do of course (e.g., look at tests of how many factors should be specified; look at confirmatory factor analysis; etc.). –  Jeromy Anglim Jun 17 '12 at 23:42
Yes, we haven't discussed factor analysis yet and I have difficulty understanding it and using SPSS with it. Anyway, thanks a lot ! :))) –  Deah Jun 18 '12 at 0:51