Dataset Information

The multigroup ethnic identity measure-revised: measurement invariance across racial and ethnic groups.

ABSTRACT: The Multigroup Ethnic Identity Measure-Revised (MEIM-R), a brief instrument assessing affiliation with one's ethnic group, is a promising advance in the ethnic identity literature. However, equivalency of its measurement properties across specific racial and ethnic groups should be confirmed before using it in diverse samples. We examined (a) the psychometric properties of the MEIM-R, including factor structure, measurement invariance, and internal consistency reliability, and (b) levels of and differences in ethnic identity across multiple racial and ethnic groups and subgroups. Asian (n = 630), Black/African American (n = 58), Hispanic (n = 240), multiethnic (n = 160), and White (n = 375) women completed the MEIM-R as part of the "Gestational diabetes' Effect on Moms" diabetes prevention trial in the Kaiser Permanente Northern California health care setting (N = 1,463; M age = 32.5 years, SD = 4.9). Multiple-groups confirmatory factor analyses provided provisional evidence of measurement invariance, i.e., an equal, correlated 2-factor structure, equal factor loadings, and equal item intercepts across racial and ethnic groups. Latent factor means for the 2 MEIM-R subscales, exploration and commitment, differed across groups; effect sizes ranging from small to large generally supported the notion of ethnic identity as more salient among people of color. Pending replication, good psychometric properties in this large and diverse sample of women support the future use of the MEIM-R. Preliminary evidence of measurement invariance suggests that the MEIM-R could be used to measure and compare ethnic identity across multiple racial and ethnic groups.

SUBMITTER: Brown SD

PROVIDER: S-EPMC4110058 | biostudies-literature | 2014 Jan

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

The multigroup ethnic identity measure-revised: measurement invariance across racial and ethnic groups.

Brown Susan D SD Unger Hu Kirsten A KA Mevi Ashley A AA Hedderson Monique M MM Shan Jun J Quesenberry Charles P CP Ferrara Assiamira A

Journal of counseling psychology 20131104 1

The Multigroup Ethnic Identity Measure-Revised (MEIM-R), a brief instrument assessing affiliation with one's ethnic group, is a promising advance in the ethnic identity literature. However, equivalency of its measurement properties across specific racial and ethnic groups should be confirmed before using it in diverse samples. We examined (a) the psychometric properties of the MEIM-R, including factor structure, measurement invariance, and internal consistency reliability, and (b) levels of and ...[more]

PMID: 24188656

Similar Datasets

Project description:AimTo investigate whether items of the SF-12, widely used to assess health outcome in clinical practice and public health research, provide unbiased measurements of underlying constructs in different demographic groups regarding gender, age, educational level and ethnicity.MethodsWe included 23,146 men and women aged 18-70 of Dutch, South-Asian Surinamese, African Surinamese, Ghanaian, Turkish, or Moroccan origin from the HELIUS study. Both multiple group confirmatory factor analyses (MGCFA), with increasingly stringent model constraints (i.e. assessing Configural, Metric, Strong and Strict measurement invariance (MI)), and regression analysis were conducted to establish comparability of SF-12 items across demographic groups.ResultsMI regarding gender, age and education was tested in the ethnic Dutch group (N = 4,615). In each subsequent step of testing MI, change in goodness-of-fit measures did not exceed 0.010 (RMSEA) or 0.004 (CFI). Moreover, goodness-of-fit indices showed good fit for strict invariance models: RMSEA<0.055; CFI>0.97. Regarding ethnicity, RMSEA values of metric and subsequent models fell above 0.055, indicating violation of measurement invariance in factor loadings, thresholds and residual variances. Regression analysis revealed possible age-, education- and ethnicity-related DIF. Adjustment for this DIF had little impact on the magnitude of age and educational differences in physical and mental health, but ethnic inequalities in physical health-and to a lesser extent mental health-were reduced after DIF adjustment.ConclusionsWe found no evidence of violation of measurement invariance of the SF-12 regarding gender, age and educational level. If minor DIF would remain undetected in our MGCFA analyses, we showed that this would have negligible effect on the magnitude of demographic health inequalities. Regarding ethnicity, the SF-12 was not measurement invariant. After accounting for DIF, we observed a reduction of ethnic inequalities in health, in particular in physical health. Caution is warranted when comparing SF-12 scores across population groups with various ethnic backgrounds.

Dataset Information

The multigroup ethnic identity measure-revised: measurement invariance across racial and ethnic groups.

Publications

The multigroup ethnic identity measure-revised: measurement invariance across racial and ethnic groups.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets