Example for Factor Analysis

A human resources manager wants to identify the underlying factors that explain the 12 variables that the human resources department measures for each applicant. Human resources employees rate each job applicant on various characteristics using a 1 (low) through 10 (high) scale. The manager collects the ratings for 50 job applicants.

Previous analysis determined that 4 factors account for most of the total variability in the data.

  1. Open the sample data set, JobApplicants.MTW.
  2. Choose Stat > Multivariate > Factor Analysis.
  3. In Variables, enter C1-C12.
  4. In Number of factors to extract, enter 4.
  5. Under Method of Extraction, select Maximum likelihood.
  6. Under Type of Rotation, select Varimax.
  7. Click OK.

Interpret the results

Minitab calculates the factor loadings for each variable in the analysis. The loadings indicate how much a factor explains each variable. Large loadings (positive or negative) indicate that the factor strongly influences the variable. Small loadings (positive or negative) indicate that the factor has a weak influence on the variable.

Unrotated factor loadings are often difficult to interpret. Factor rotation simplifies the loading structure, and makes the factor loadings easier to interpret. Using the rotated factor loadings, the manager concludes the following:
  • Company Fit (0.778), Job Fit (0.844), and Potential (0.645) have large positive loadings on factor 1, so this factor describes employee fit and potential for growth in the company.
  • Appearance (0.730), Likeability (0.615), and Self-confidence (0.743) have large positive loadings on factor 2, so this factor describes personal qualities.
  • Communication (0.802) and Organization (0.889) have large positive loadings on factor 3, so this factor describes work skills.
  • Letter (0.947) and Resume (0.789) have large positive loadings on factor 4, so this factor describes writing skills.

Together, all four factors explain 0.754 or 75.4% of the variation in the data.

Maximum Likelihood Factor Analysis of the Correlation Matrix

Iteration for maximum likelihood

IterationFunction
value
Max change
in ln(unique
variance)
Step
halvings
11.591230.000000 
21.465110.604570 
31.440980.216650 
41.429620.340680 
51.418480.487470 
61.410581.037530 
71.404380.116250E
81.400360.016250E
91.398840.008020E
101.397710.007520E
111.396870.006500E
121.396320.006430E
131.395860.004620E
E  Second derivative matrix was exact

Unrotated Factor Loadings and Communalities

VariableFactor1Factor2Factor3Factor4Communality
Academic record0.3800.4550.3400.2590.534
Appearance0.3590.530-0.0400.5230.685
Communication0.4650.660-0.377-0.0230.795
Company Fit0.5230.6770.266-0.2530.866
Experience0.5080.1940.4500.2320.553
Job Fit0.5320.6320.415-0.2010.895
Letter0.992-0.094-0.012-0.0070.994
Likeability0.4120.5290.0320.3770.593
Organization0.4060.761-0.424-0.0550.926
Potential0.4460.5480.4310.1720.714
Resume0.8500.0400.0960.2830.814
Self-Confidence0.2930.5750.0830.5060.679
           
Variance3.63203.31931.08831.00959.0491
% Var0.3030.2770.0910.0840.754

Rotated Factor Loadings and Communalities

Varimax Rotation
VariableFactor1Factor2Factor3Factor4Communality
Academic record0.4810.5100.0860.1880.534
Appearance0.1400.7300.3190.1750.685
Communication0.2030.2800.8020.1810.795
Company Fit0.7780.1650.4450.1890.866
Experience0.4720.395-0.1120.4010.553
Job Fit0.8440.2090.3050.2150.895
Letter0.2190.0520.2170.9470.994
Likeability0.2610.6150.3210.2080.593
Organization0.2170.2850.8890.0860.926
Potential0.6450.4920.1210.2020.714
Resume0.2140.3650.1130.7890.814
Self-Confidence0.2390.7430.2490.0920.679
           
Variance2.51532.48802.08631.95949.0491
% Var0.2100.2070.1740.1630.754

Factor Score Coefficients

VariableFactor1Factor2Factor3Factor4
Academic record0.0450.134-0.068-0.003
Appearance-0.1090.339-0.0340.012
Communication-0.0890.0140.258-0.036
Company Fit0.454-0.2250.066-0.105
Experience0.0620.120-0.1040.006
Job Fit0.662-0.181-0.079-0.123
Letter-0.159-0.4280.0901.068
Likeability-0.0390.199-0.0220.002
Organization-0.239-0.0270.822-0.131
Potential0.1360.173-0.115-0.017
Resume-0.0650.300-0.1170.049
Self-Confidence-0.0640.332-0.0610.006