• Medicine · Sep 2016

    Observational Study

    Religiosity in black and white older Americans: Measure adaptation, psychometric validation, and racial difference.

    • Chengwu Yang, Marvella E Ford, Barbara C Tilley, and Ruth L Greene.
    • Department of Public Health Sciences & Office for Scholarship in Learning and Education Research, College of Medicine, The Pennsylvania State University, Hershey, PA Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC Division of Biostatistics, School of Public Health, University of Texas Health Science, Center at Houston, Houston, TX Department of Psychology, Johnson C. Smith University, Charlotte, NC.
    • Medicine (Baltimore). 2016 Sep 1; 95 (37): e4257e4257.

    AbstractRacial difference of religiosity in a heterogeneous older population had long been a focal point of gerontological research. However, most religiosity measures were developed from homogenous sample, few underwent rigorous psychometric validation, and studies on racial difference of religiosity had been obstructed. This cross-sectional study adapted a religiosity measure originally designed for blacks only to a heterogeneous older population of blacks and whites, validated its psychometric properties, and examined racial difference of religiosity. Based on qualitative research of concepts, intensive literature review, and abundant experiences in this field, we adapted the original measure. Then, using the data collected from a survey of 196 black and white Americans 55 years and older in Charlotte, North Carolina, we investigated full-scale psychometric properties of the adapted measure at the item-, domain-, and measure- level. These psychometric validations included item analysis, item-scale correlations, correlation matrix among items, confirmatory factor analysis (CFA) to determine if the original factor structure held after adaptation, and reliability analysis using Cronbach's alpha. Finally, using Multiple Indicators and MultIple Causes (MIMIC) models, we examined racial difference of religiosity through regression with latent variables, while potential measurement bias by race through differential item functioning (DIF) was adjusted in the MIMIC models. In result, we successfully adapted the original 12-item religiosity measure for blacks into an 8-item version for blacks and whites. Although sacrificed few reliability for brevity, the adapted measure demonstrated sound psychometric properties, and retained the original factor structure. We also found racial differences of religiosity in all three domains of the measure, even after adjustment of the detected measurement biases in two domains. In conclusion, the original measure can be adapted to and validated for a heterogeneous older population of blacks and whites. Although the adapted measure can be used to measure the three domains of religiosity in blacks and whites, the observed racial differences of religiosity need to be adjusted for measurement biases before meaningful comparisons.

      Pubmed     Copy Citation     Plaintext  

      Add institutional full text...

    Notes

     
    Knowledge, pearl, summary or comment to share?
    300 characters remaining
    help        
    You can also include formatting, links, images and footnotes in your notes
    • Simple formatting can be added to notes, such as *italics*, _underline_ or **bold**.
    • Superscript can be denoted by <sup>text</sup> and subscript <sub>text</sub>.
    • Numbered or bulleted lists can be created using either numbered lines 1. 2. 3., hyphens - or asterisks *.
    • Links can be included with: [my link to pubmed](http://pubmed.com)
    • Images can be included with: ![alt text](https://bestmedicaljournal.com/study_graph.jpg "Image Title Text")
    • For footnotes use [^1](This is a footnote.) inline.
    • Or use an inline reference [^1] to refer to a longer footnote elseweher in the document [^1]: This is a long footnote..

    hide…

Want more great medical articles?

Keep up to date with a free trial of metajournal, personalized for your practice.
1,624,503 articles already indexed!

We guarantee your privacy. Your email address will not be shared.