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How to do Harman’s Single Factor Test in SPSS

Datapott Analytics & Research
2 min readJul 27, 2021

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How to do Harman’s Single Factor Test in SPSS

What is Harman’s single factor test?

  • Harman’s single factor test is one technique to identify common method variance. If a single factor emerges or one general factor will account for the majority of the covariance among the measures then it is concluded that a substantial amount of common method variance is present.

Step-by-step procedure in SPSS:

  1. In SPSS, go to Analyze — Dimension reduction — Factor.
  2. Throw in all the measurement items in the variables box.
  3. Click the extraction button:
  • Method: Maximum likelihood (to be consistent with AMOS logarithm).
  • Make sure to check the unrotated factor solution.
  • Go to the extraction box and set Factors to extract: 1.
  • Click continue

4. Go to the rotation button — Click Method: None — Continue

  • Click OK
  • In the output, go to the total variance explained section — look at the % of variance column.

Originally published at https://datapott.com on July 27, 2021.

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Datapott Analytics & Research
Datapott Analytics & Research

Written by Datapott Analytics & Research

Data Science & Analytics Firm. Specialists in Python, SPSS, R, Stata, Eviews, Minitab, SaaS, Tableau & PowerBI,

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