The Impact of Partial Factorial Invariance on Cross-Group Comparisons

Shi, Dexin; Song, Hairong; Lewis, Melanie

doi:10.1177/1073191117711020

Cited by 44 publications

(46 citation statements)

References 52 publications

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“…The results suggest that incorrectly assuming metric invariance holds while estimating moderation effects would lead to biased estimates. The impact is more salient as the number of non-invariant items increases, which is consistent with Guenole and Brown ( 2014 )'s and Shi et al ( 2017 )'s findings with direct effects. On the other hand, fitting models correctly assuming partial metric invariance yielded accurate estimates regardless of samples size, main effects, number of non-invariant items, and the location of the non-invariance occurred.…”

Section: Discussionsupporting

confidence: 85%

The Impact of Partial Measurement Invariance on Testing Moderation for Single and Multi-Level Data

Hsiao

Lai

2018

Front. Psychol.

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Moderation effect is a commonly used concept in the field of social and behavioral science. Several studies regarding the implication of moderation effects have been done; however, little is known about how partial measurement invariance influences the properties of tests for moderation effects when categorical moderators were used. Additionally, whether the impact is the same across single and multilevel data is still unknown. Hence, the purpose of the present study is twofold: (a) To investigate the performance of the moderation test in single-level studies when measurement invariance does not hold; (b) To examine whether unique features of multilevel data, such as intraclass correlation (ICC) and number of clusters, influence the effect of measurement non-invariance on the performance of tests for moderation. Simulation results indicated that falsely assuming measurement invariance lead to biased estimates, inflated Type I error rates, and more gain or more loss in power (depends on simulation conditions) for the test of moderation effects. Such patterns were more salient as sample size and the number of non-invariant items increase for both single- and multi-level data. With multilevel data, the cluster size seemed to have a larger impact than the number of clusters when falsely assuming measurement invariance in the moderation estimation. ICC was trivially related to the moderation estimates. Overall, when testing moderation effects with categorical moderators, employing a model that accounts for the measurement (non)invariance structure of the predictor and/or the outcome is recommended.

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Section: Discussionsupporting

confidence: 85%

The Impact of Partial Measurement Invariance on Testing Moderation for Single and Multi-Level Data

Hsiao

Lai

2018

Front. Psychol.

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“…However, the weak invariance assumption [χ 2 (101) = 336.436, CFI = 0.935, TLI = 0.915, RMSEA = 0.080, SRMR = 0.072], which states that the factor loadings from the items to the general factor are equivalent across groups, did not hold [Δχ 2 (11) = 54.72, p < 0.001]. Provided that not all factor loadings are equivalent across the two groups, we examined which factor loadings are non-invariant by testing partial weak invariance using suggestions and guidelines found in Byrne et al (1989) and Shi et al (2017).…”

Section: Resultsmentioning

confidence: 99%

Structure and Measurement Invariance of Ethnic Identity for Native American College Students

et al. 2019

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With a specific focus on the Native American population, the current study investigated the structure of ethnic identity, measured by the Multigroup Ethnic Identity Measure, using a bifactor model across Native American ( n = 307), Asian ( n = 348), and White ( n = 549) undergraduate students. We further investigated measurement invariance across ethnic groups that shared the same factor structure. The results indicated that ethnic identity can be modeled by a bifactor structure with a general factor and two group factors, affective pride and exploration, for Native American and Asian respondents but not White respondents. In addition, measurement invariance tests supported partial weak invariance between the Native American group and the Asian group. The current findings suggest that comparisons of ethnic identity scores across ethnic groups should be treated with caution.

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“…For instance, when metric invariance is observed, it allows for the comparison of unstandardized regression coefficients across groups (Davidov et al, 2014). When only partial invariance is observed in the metric, using standardized regression coefficients removes the risk of bias (Shi et al, 2019).…”

Section: Methodsmentioning

confidence: 99%

Reaching Adult Status Among Emerging Adults in United States, Italy, and Taiwan

Beckert

Lee

Albiero

2020

Journal of Cross-Cultural Psychology

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Today, most societies allow more time for young people to transition to adulthood. Compared to youth from a generation ago, young people today are delaying marriage, prolonging their educational pursuits, and deemphasizing the need for a single life-long career. The purpose of this study was to delineate patterns of transitioning to adulthood among young people from three countries. As part of a collaborative multisite project, 1,310 emerging adults from Taiwan ( n = 372), Italy ( n = 364), and the United States ( n = 574) provided perceptions of their endorsement and attainment of certain commonly accepted adult status markers. Using latent profile analysis, a four-class model emerged. The groups were not culturally specific and the groupings highlighted unique approaches to how emerging adults conceptualized adulthood. Using Marcia’s identity statuses as loose labels for each group, the achieved group was the largest as they showed an inclination toward endorsing and attaining most adult markers. Other groups showed both delay (diffused) and perplexity (transitional) toward many markers of adulthood. Using an alignment procedure to account for cross-cultural measurement non-invariance, the role of individualism-collectivism, filial piety, and parental autonomy support in relation to adult status profiles were also explored across participant groups. Vertical collectivism and authoritarian filial piety were the most predictive whereas parental autonomy support was less predictive in class membership in both the overall and stratified regression analyses.

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The Impact of Partial Factorial Invariance on Cross-Group Comparisons

Cited by 44 publications

References 52 publications

The Impact of Partial Measurement Invariance on Testing Moderation for Single and Multi-Level Data

The Impact of Partial Measurement Invariance on Testing Moderation for Single and Multi-Level Data

Structure and Measurement Invariance of Ethnic Identity for Native American College Students

Reaching Adult Status Among Emerging Adults in United States, Italy, and Taiwan

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