How well does the RAQ measure up? Assessing attitudes toward research in a diverse community sample

Abstract Background Individuals’ attitudes toward research predict recruitment, engagement, and retention. The Research Attitudes Questionnaire (RAQ), developed to predict individuals’ willingness to participate, is often used in AD research. It can be used to identify strategies to mitigate individuals’ reluctance to engage in research. To date, there are mixed findings regarding diverse groups’ willingness to engage in AD research. Between‐group comparisons are only meaningful and valid when the measures being used reflect true group differences in the construct i.e., measurement invariance (MI). One of the prerequisites for meaningful comparisons across diverse groups is to have measurement invariance. The study goal was to examine the suitability of the RAQ across age and ethno‐racialized identities. Methods We explored the MI of the 7‐item RAQ using Confirmatory Factor Analysis (CFA) via Mplus in a community‐derived sample of 457 younger and 594 older African American, 307 younger and 339 older American Indian/Alaska Native, and 173 younger and 679 older Non‐Hispanic White male and female individuals. CFA evaluated the one‐factor model across the groups. Subsequently, loadings, means, and residuals were consecutively constrained to equality. We examined whether the increased restrictions produced significant changes in the data‐model fit to determine whether conditions were met to demonstrate varying levels of measurement invariance. Results Table 1 summarizes sample demographics and provides mean total RAQ scores. The RAQ showed good internal consistency across age and ethno‐racialized groups (Cronbach’s a ranging from 0.78 to .85). A one‐factor model showed acceptable fit across the groups (Table 2). The results of the cross‐sample invariance tests are provided in Table 3. We found evidence of configural invariance; comparisons of successive models supported metric invariance, and scalar invariance. Strict invariance was not supported. Conclusions These data suggest that across the 6 groups, who differed in terms of age and ethno‐racial identity, the strengths of associations between the specific scale items and the latent construct being assessed by the RAQ are the same. However, the groups may differ in the extent to which they are characterized by the latent variable. This finding supports the suitability of the RAQ for cross‐cultural comparisons of willingness to engage in research.

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Publication Details

Journal
Alzheimer s & Dementia
Published
2024-12-01
DOI
https://doi.org/10.1002/alz.088524
Primary Topic
Health Policy Implementation Science
Type
article
Field-Weighted Citation Impact
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article

How well does the RAQ measure up? Assessing attitudes toward research in a diverse community sample

Megan Zuelsdorff, Fabu P. Carter, Carey Elizabeth Gleason, Diane C. Gooding et al.
Alzheimer s & Dementia
Health Policy Implementation Science
article

How well does the RAQ measure up? Assessing attitudes toward research in a diverse community sample

Megan Zuelsdorff, Fabu P. Carter, Carey Elizabeth Gleason, Diane C. Gooding, Carol A. Van Hulle, Shenikqua Bouges, C. Malik Boykin, Jordan Lewis
article en

Abstract

Abstract Background Individuals’ attitudes toward research predict recruitment, engagement, and retention. The Research Attitudes Questionnaire (RAQ), developed to predict individuals’ willingness to participate, is often used in AD research. It can be used to identify strategies to mitigate individuals’ reluctance to engage in research. To date, there are mixed findings regarding diverse groups’ willingness to engage in AD research. Between‐group comparisons are only meaningful and valid when the measures being used reflect true group differences in the construct i.e., measurement invariance (MI). One of the prerequisites for meaningful comparisons across diverse groups is to have measurement invariance. The study goal was to examine the suitability of the RAQ across age and ethno‐racialized identities. Methods We explored the MI of the 7‐item RAQ using Confirmatory Factor Analysis (CFA) via Mplus in a community‐derived sample of 457 younger and 594 older African American, 307 younger and 339 older American Indian/Alaska Native, and 173 younger and 679 older Non‐Hispanic White male and female individuals. CFA evaluated the one‐factor model across the groups. Subsequently, loadings, means, and residuals were consecutively constrained to equality. We examined whether the increased restrictions produced significant changes in the data‐model fit to determine whether conditions were met to demonstrate varying levels of measurement invariance. Results Table 1 summarizes sample demographics and provides mean total RAQ scores. The RAQ showed good internal consistency across age and ethno‐racialized groups (Cronbach’s a ranging from 0.78 to .85). A one‐factor model showed acceptable fit across the groups (Table 2). The results of the cross‐sample invariance tests are provided in Table 3. We found evidence of configural invariance; comparisons of successive models supported metric invariance, and scalar invariance. Strict invariance was not supported. Conclusions These data suggest that across the 6 groups, who differed in terms of age and ethno‐racial identity, the strengths of associations between the specific scale items and the latent construct being assessed by the RAQ are the same. However, the groups may differ in the extent to which they are characterized by the latent variable. This finding supports the suitability of the RAQ for cross‐cultural comparisons of willingness to engage in research.

Alzheimer s & DementiaVol. 20(S7)
University of Minnesota (US), University of Wisconsin–Madison (US), Madison Area Technical College (US), Brown University (US), Neurobehavioral Systems (US), Geriatric Research Education and Clinical Center (US), University of Minnesota, Duluth (US), William S. Middleton Memorial Veterans Hospital (US), Memorial Hospital (US)
Openalex Percentile: Top 55%
Health Policy Implementation Science
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