Factor analysis using SPSS

By Priya Chetty on February 4, 2015

Factor analysis is used to find factors among observed variables. In other words, if your data contains many variables, you can use factor analysis to reduce the number of variables. Factor analysis groups variables with similar characteristics together. Therefore with factor analysis, you can produce a small number of factors from a large number of variables which is capable of explaining the observed variance in the larger number of variables. One can use the reduced factors for further analysis.

When is factor analysis applied?

You may be interested to investigate the reasons why customers buy a product such as a particular brand of soft drink (e.g. coca-cola). Several variables were identified that influence customers to buy coca-cola. Some of the variables identified as being influential include cost of the product, quality of product, availability of a product, the quantity of product, the respectability of product, the prestige attached to the product, experience with the product, and popularity of the product. From this, you designed a questionnaire to solicit customers’ views on a seven/five-point scale, where 1 = not important and 7/5 = very important.

Factor analysis in SPSS

  • Step 1: From the menu bar select Analyze and choose Data Reduction and then CLICK on Factor. Highlight related variables and send them to “Variables”. Nothing has to be put into “Selection Variables”.  (See Figure 1 below).
 Figure 1: Factor analysis in SPSS
Figure 1: Factor analysis in SPSS
  • Step 2: CLICK on the DESCRIPTIVES button and its dialogue box will load on the screen. Within this dialogue box select the following check boxes Univariate Descriptives, Coefficients, Determinant, KMO and Bartlett’s test of sphericity, and Reproduced. CLICK on Continue to return to the Factor Analysis dialogue box (figure 2).
Figure 2
Figure 2
  • Step 3: From the dialogue box CLICK on the EXTRACTION button and its dialogue box will load on the screen. Select the check box for Scree Plot (untick the “Unrotated Factor Solution” option). CLICK on Continue to return to the Factor Analysis dialogue box (figure 3).
 Figure 3
Figure 3
  • Step 4: From the dialogue box CLICK on the ROTATION button and its dialogue box will load on the screen. CLICK on the radio button next to Varimax to select it. CLICK on Continue to return to the Factor Analysis dialogue box (figure 4).
Figure 4
Figure 4
  • Step 5: From the dialogue box CLICK on the OPTIONS button and its dialogue box will load on the screen. CLICK on the check box of Suppress absolute values less than to select it. Type 0.50 in the text box. CLICK on Continue to return to the Factor Analysis dialogue box. Click on OK to run the procedure. The dialogue box should be completed as shown below (Figure 5).
Figure 5
Figure 5
  • Step 6: Finally, CLICK on OK on the Main Dialog Box, and the results would appear in the Output SPSS file. The interpretation of the Analysis Results has been presented in the next article.
  • Step 7: The next article will discuss the interpretation of its output i.e. Interpretation of Factor Analysis using SPSS.
NOTES

I am a management graduate with specialisation in Marketing and Finance. I have over 12 years' experience in research and analysis. This includes fundamental and applied research in the domains of management and social sciences. I am well versed with academic research principles. Over the years i have developed a mastery in different types of data analysis on different applications like SPSS, Amos, and NVIVO. My expertise lies in inferring the findings and creating actionable strategies based on them. 

Over the past decade I have also built a profile as a researcher on Project Guru's Knowledge Tank division. I have penned over 200 articles that have earned me 400+ citations so far. My Google Scholar profile can be accessed here. 

I now consult university faculty through Faculty Development Programs (FDPs) on the latest developments in the field of research. I also guide individual researchers on how they can commercialise their inventions or research findings. Other developments im actively involved in at Project Guru include strengthening the "Publish" division as a bridge between industry and academia by bringing together experienced research persons, learners, and practitioners to collaboratively work on a common goal. 

 

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