4.5 Article

Measurement invariance of the SF-12 across European-American, Latina, and African-American postpartum women

Journal

QUALITY OF LIFE RESEARCH
Volume 22, Issue 5, Pages 1135-1144

Publisher

SPRINGER
DOI: 10.1007/s11136-012-0232-5

Keywords

SF-12; Structural equation modeling (SEM); Multiple indicators multiple causes modeling (MIMIC); Differential item functioning (DIF); Postpartum; Quality of life

Funding

  1. Agency for Healthcare Research and Quality [RO1 HS09698-3]
  2. Robert Wood Johnson Foundation [42680]

Ask authors/readers for more resources

The purpose of this study was to determine whether a postpartum-specific version of the SF-12 was invariant across three ethnic groups. Specifically, we examined the presence of differential item functioning (DIF) among European-American, Latina, and African-American mothers. DIF refers to differential endorsement of item responses that are not due to the construct being measured. DIF can result in biased group comparisons. We analyzed cross-sectional data of postpartum women (n = 655) who delivered at an urban hospital in the northeast region of the USA. Multiple indicators multiple causes (MIMIC) model was used to examine differential item functioning. The analyses revealed the presence of DIF for three items: Item 1 self-assessed general health, item 8 bodily pain, and item 9 calm and peaceful. Only two DIF effects were meaningful based on odds ratios and on the percentage of the total effect accounted for by the DIF effect. Specifically, African-American women differentially endorsed item 8 bodily pain when compared to European-American women (OR = 2.11, CI95 = 1.20, 3.71) and Latinas were more likely to endorse item 9 calm and peaceful when compared to European-American women (OR = 2.62, CI95 = 1.64, 4.17). The results of this study indicate that the SF-12 is to a great degree an invariant measure for the assessment of HRQoL among postpartum ethnically diverse women. More research is needed to examine other aspects of invariance (e.g., configural and metric) and longitudinal invariance in ethnically diverse samples. To better understand ethnic differences in health, future studies need to examine the factors that may underlie DIF effects in quality of life.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available