close
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
. 2012 May-Jun;61(3):171-80.
doi: 10.1097/NNR.0b013e3182544750.

Establishing measurement invariance: English and Spanish Paediatric Asthma Quality of Life Questionnaire

Affiliations

Establishing measurement invariance: English and Spanish Paediatric Asthma Quality of Life Questionnaire

Karen H Sousa et al. Nurs Res. 2012 May-Jun.

Abstract

Background: Registered nurses and nurse researchers often use questionnaires to measure patient outcomes. When questionnaires or other multiple-item instruments have been developed using a relatively homogeneous sample, the suitability of even a psychometrically well-developed instrument for the new population comes into question. Bias or lack of equivalence can be introduced into instruments through differences in perceptions of the meaning of the measured items, constructs, or both in the two groups.

Objective: To explain measurement invariance and illustrate how it can be tested using the English and Spanish versions of the Paediatric Asthma Quality of Life Questionnaire (PAQLQ).

Methods: A sample of 607 children from the Phoenix Children's Hospital Breathmobile was selected for this analysis. The children were of ages 6-18 years; 61.2% completed the PAQLQ in Spanish. Testing measurement invariance using multiple-group confirmatory factor analysis, a series of hierarchical nested models, is demonstrated. In assessing the adequacy of the fit of each model at each stage, both χ2 tests and goodness-of-fit indexes were used.

Results: The test of measurement invariance for the one-factor model showed that the English and Spanish versions of the scale met the criteria for measurement invariance. The level of strict invariance (equal factor loadings, intercepts, and residual variances between groups) was achieved.

Discussion: Confirmatory factor analysis is used to evaluate the structural integrity of a measurement instrument; multiple confirmatory factor analyses are used to assess measurement invariance across different groups and to stamp the data as valid or invalid. The PAQLQ, a widely used instrument having evidence to support reliability and validity was used separately in English- and Spanish-speaking groups. Traditional methods for evaluating measurement instruments have been less than thorough, and this article demonstrates a well-developed approach, allowing for confident comparisons between populations.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Three-Factor Hypothesized Model
Figure 2
Figure 2
Single-Factor Model

References

    1. Aiken LS, Stein JA, Bentler PM. Structural equation analyses of clinical subpopulation differences and comparative treatment outcomes: Characterizing the daily lives of drug addicts. Journal of Consulting and Clinical Psychology. 1994;62:488–499. - PubMed
    1. Alwin DF, Jackson DJ. Applications of simultaneous factor analysis to issues of factorial invariance. In: Jackson D, Borgotta E, editors. Factor analysis and measurement in sociological research: A multi-dimensional perspective. Sage; Beverly Hills, CA: 1981. pp. 68–119.
    1. Angleitner A, John OP, Löhr FJ. It's how you ask and what you ask: An itemmetric analysis of personality questionnaires. In: Angleitner A, Wiggins JS, editors. Personality assessment via questionnaires. Springer; New York, NY: 1986. pp. 61–108.
    1. Bentler PM. EQS: Structural equations program manual. BMDP Statistical Software; Los Angeles, CA: 1989.
    1. Bentler PM. Comparative fit indexes in structural models. Psychological Bulletin. 1990;107:238–246. - PubMed

Publication types