Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2020 Jun 11:11:1300.
doi: 10.3389/fpsyg.2020.01300. eCollection 2020.

The Dimensionality of the 12-Item General Health Questionnaire (GHQ-12): Comparisons of Factor Structures and Invariance Across Samples and Time

Affiliations

The Dimensionality of the 12-Item General Health Questionnaire (GHQ-12): Comparisons of Factor Structures and Invariance Across Samples and Time

Sigurd W Hystad et al. Front Psychol. .

Abstract

Because of its brevity, the 12-item General Health Questionnaire (GHQ-12) has become one of the most popular and used measure for detecting psychological distress. Originally intended as a unidimensional measure, the majority of subsequent factor-analytic studies have failed to support GHQ-12 as a unitary construct and have instead proposed a plethora of multidimensional structures. In this study, we further examined the factor structure in two different military samples, one consisting of crewmembers from four different frigates deployed in anti-piracy operations and Standing NATO Maritime Group deployments (N = 591) and one consisting of crewmember from three different minehunters/sweepers serving in Standing NATO Mine Counter-Measures Group deployments (N = 196). Results from confirmatory factor analyses (CFA) performed in the first sample supported a bifactor model, consisting of a general factor representing communality among all items and two specific factors reflecting common variance due to wording effects (negatively and positively phrased items). A multi-group CFA further confirmed this structure to be invariant across our second sample. Structural equation modeling also showed that the general factor was strongly associated with symptoms of insomnia and mental health, whereas the specific factors were either non-significantly or considerably weaker associated with the criterion variables. Overall, our results are congruent with the notion that the multidimensionality demonstrated in many previous investigations is most likely an expression of method-specific variance caused by item wording. The explained unique variance associated with these specific factors was further relatively small. Ignoring the multidimensionality and treating GHQ-12 as a unitary construct will therefore most likely introduce minimal bias to most practical applications.

Keywords: General Health Questionnaire (GHQ-12); bifactor models; confirmatory factor analysis (CFA); factor structure; measurement invariance; military; wording effects.

PubMed Disclaimer

Figures

FIGURE 1
FIGURE 1
The different factor models for GHQ-12 tested and compared.
FIGURE 2
FIGURE 2
Structural model with the general GHQ-factor and two specific sub-factors predicting symptoms of insomnia and mental health (χ2 = 368.737, p < 0.001, CFI = 0.92, SRMR = 0.048, RMSEA = 0.069, 90% confidence interval for RMSEA = 0.061 – 0.077). Regression weights are standardized coefficients. ***p < 0.001. **p < 0.01.

References

    1. Abubakar A., Fischer R. (2012). The factor structure of the 12-item general health questionnaire in a literate Kenyan population. Stress Health 28 248–254. 10.1002/smi.1420 - DOI - PubMed
    1. Afifi A. A., May S., Clark V. A. (2012). Practical Multivariate Analysis. Boca Raton, FL: Chapman and Hall.
    1. Aguado J., Campbell A., Ascaso C., Navarro P., Garcia-Esteve L., Luciano J. V. (2012). Examining the factor structure and discriminant validity of the 12-item general health questionnaire (ghq-12) among Spanish postpartum women. Assessment 19 517–525. 10.1177/1073191110388146 - DOI - PubMed
    1. Andrich D., van Schoubroeck L. (1989). The general health questionnaire: a psychometric analysis using latent trait theory. Psychol. Med. 19 469–485. 10.1017/s0033291700012502 - DOI - PubMed
    1. Bandalos D. L., Finney S. J. (2001). “Item parceling issues in structural equation modeling,” in New Developments and Techniques in Structural Equation Modeling, eds Marcoulides G. A., Schumacker R. E. (Mahwah, NJ: Lawrence Erlbaum; ), 269–296.

LinkOut - more resources