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
. 2021 Nov;92(11):1554-1563.
doi: 10.1002/JPER.20-0066. Epub 2021 Apr 21.

Development and validation of a latent, multidimensional, self-report periodontal disease measure

Affiliations

Development and validation of a latent, multidimensional, self-report periodontal disease measure

Casey D Wright et al. J Periodontol. 2021 Nov.

Abstract

Background: Self-report measures of periodontal disease have utility for screening, but have not capitalized on a latent variable approach based on psychometric theory to validate such measures. This study aimed to develop a psychometrically valid self-report measure of periodontal disease using latent variable factor analysis and other evidence-based psychometric analyses.

Methods: Likert-type items reflecting periodontal disease were administered to a sample of adults (n = 828) in the United States via an online survey. Items were adapted from prior self-report measures or were newly developed based on psychometric item development theory and theoretical knowledge of periodontal disease. Psychometric analyses included exploratory and confirmatory factor analysis, parallel analysis, and a calculation of internal consistency.

Results: Exploratory factor analysis (EFA) was indicative of the goodness-of-fit with two factors (root mean square error of approximation (RMSEA) = 0.08; comparative fit index (CFI) = 0.97; Tucker Lewis index (TLI) = 0.96; standardized root mean squared residual = 0.06); five of the 22 original survey questions were eliminated based on the results of this EFA. Parallel analysis supported a two-factor model to represent the similarities across items-one factor reflecting physiologic components and another reflecting functional components of periodontal disease. Confirmatory Factor Analysis also indicated adequate model fit (RMSEA = 0.07; CFI = 0.98; TLI = 0.98; and weighted root mean square residual = 1.20).

Conclusions: Psychometric analyses of a new 17-item periodontal disease self-report measure provided initial evidence of construct/factor validity. This approach to developing self-report periodontal disease measures may facilitate useful and cost-effective estimates of periodontal disease and provide a testable scale. Future work should include clinical validation.

Keywords: periodontics; psychometrics; self report.

PubMed Disclaimer

Figures

FIGURE 1
FIGURE 1
Final factor structure model of 17 items as tested in the confirmatory factor analysis. Double-headed arrows indicate correlations of items or latent factors

References

    1. Eke PI, Borgnakke WS, Genco RJ. Recent epidemiologic trends in periodontitis in the USA. Periodontology 2000. 2015;86:611–625. - PubMed
    1. Eke PI, Dye BA, Wei L, et al. Self-reported measures for surveillance of periodontitis. J Dent Res. 2013;92:1041–1047. - PubMed
    1. National Institute of Dental and Craniofacial Research. Strategic Plan 2009–2013; Objective IV-4: Monitor the oral health status of the nation, through periodic epidemiologic and other sentinel surveys. Bethesda, MD: National Institute of Dental and Craniofacial Research; 2013;51. http://www.nidcr.nih.gov/NR/rdonlyres/79812F51-8893-46BD-AE9D-2A12555053.... Accessed August 27, 2013
    1. American Academy of Periodontology. American academy of periodontology statement on risk assessment. J Periodontol. 2008;79:202. - PubMed
    1. Blicher B, Joshipura K, Eke P. Validation of self-reported periodontal disease: a systematic review. J Dent Res. 2005;84:881–890. - PubMed

Publication types