Testing Mediation in Structural Equation Modeling

Leth‐Steensen, Craig; Gallitto, Elena

doi:10.1177/0013164415593777

Cited by 66 publications

(38 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Both these methods are used for testing the significance of mediated effects in structural equation models (SEMs). A recent study by Leth-Steensen and Gallitto 2015 provided evidence that the test of joint significance was more powerful than the bias-corrected bootstrap method for detecting mediated effects in SEMs, which is inconsistent with previous research on the topic. The goal of this article was to investigate this surprising result and describe two issues related to testing the significance of mediated effects in SEMs which explain the inconsistent results regarding the power of the test of joint significance and the bias-corrected bootstrap found by Leth-Steensen and Gallitto 2015.…”

contrasting

confidence: 65%

“…The reason the results from Leth-Steensen and Gallitto (2015) are contradictory to other results regarding the power of the test of joint significance and the BC bootstrap is because of how the BC bootstrap test was carried out. To assess the power of the BC bootstrap method for detecting the significance of mediated effects in their proposed SEMs, it seems Leth-Steensen and Gallitto (2015) tested the significance by dividing the estimates of ab by the BC bootstrap standard error and then compared this test statistic with a standard normal distribution.…”

Section: Introductionmentioning

confidence: 70%

“…A recent simulation study by Leth-Steensen and Gallitto (2015) provided contradictory evidence regarding the test of joint significance and the bias-corrected (BC) bootstrap methods for testing the statistical significance of the mediated effect in simple structural equation models (SEMs). The results of this article are misleading for two reasons.…”

Section: Introductionmentioning

confidence: 99%

“…W. Cheung, 2007; Fritz, Taylor, & MacKinnon, 2012; Hayes & Scharkow, 2013; MacKinnon et al, 2004). To this date only one simulation study provided evidence that the test of joint significance outperformed the BC bootstrap for testing mediated effects in a simple SEM (Leth-Steensen & Gallitto, 2015). …”

Section: Introductionmentioning

confidence: 99%

“…To assess the power of the BC bootstrap method for detecting the significance of mediated effects in their proposed SEMs, it seems Leth-Steensen and Gallitto (2015) tested the significance by dividing the estimates of ab by the BC bootstrap standard error and then compared this test statistic with a standard normal distribution. Evidence of this can be found on page 6 where the authors state that

BC bootstrapping, based on 1,000 resamples, was used when fitting the models to determine the standard errors for each of the direct and indirect path parameters (from which a determination of whether they significantly differed from 0 could be made).

(Leth-Steensen & Gallitto, 2015)…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

A Note on Testing Mediated Effects in Structural Equation Models

Valente

González

Miočević

et al. 2016

Educational and Psychological Measurement

View full text Add to dashboard Cite

Methods to assess the significance of mediated effects in education and the social sciences are well studied and fall into two categories: single sample methods and computer-intensive methods. A popular single sample method to detect the significance of the mediated effect is the test of joint significance, and a popular computerintensive method to detect the significance of the mediated effect is the biascorrected bootstrap method. Both these methods are used for testing the significance of mediated effects in structural equation models (SEMs). A recent study by Leth-Steensen and Gallitto 2016 provided evidence that the test of joint significance was more powerful than the bias-corrected bootstrap method for detecting mediated effects in SEMs, which is inconsistent with previous research on the topic. The goal of this article was to investigate this surprising result and describe two issues related to testing the significance of mediated effects in SEMs which explain the inconsistent results regarding the power of the test of joint significance and the bias-corrected bootstrap found by Leth-Steensen and Gallitto 2016. The first issue was that the biascorrected bootstrap method was conducted incorrectly. The bias-corrected bootstrap was used to estimate the standard error of the mediated effect as opposed to creating confidence intervals. The second issue was that the correlation between the path coefficients of the mediated effect was ignored as an important aspect of testing the significance of the mediated effect in SEMs. The results of the replication study confirmed prior research on testing the significance of mediated effects. That is, the bias-corrected bootstrap method was more powerful than the test of joint significance, and the bias-corrected bootstrap method had elevated Type 1 error rates in some cases. Additional methods for testing the significance of mediated effects in SEMs were considered and limitations and future directions were discussed.

show abstract

contrasting

confidence: 65%

Section: Introductionmentioning

confidence: 70%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

(Leth-Steensen & Gallitto, 2015)…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A Note on Testing Mediated Effects in Structural Equation Models

Valente

González

Miočević

et al. 2016

Educational and Psychological Measurement

View full text Add to dashboard Cite

show abstract

Support for rights of Syrian refugees in Turkey: The role of secondary transfer effects in intergroup contact

Ünver

Çakal

Güler

et al. 2021

Community & Applied Soc Psy

View full text Add to dashboard Cite

This study explored the role of secondary transfer effects (STEs) to test whether and how contact between advantaged Turks and disadvantaged Kurds may shape support for the rights of Syrian refugees. We investigated whether dimensions of contact, positive versus negative, between a historically advantaged group (Turks, n = 300) and a disadvantaged group (Kurds, n = 127), extend to a novel disadvantaged outgroup (Syrian refugees) via attitude generalization and as a function of the perceived threat from the novel outgroup. Controlling for the

show abstract

Deviant peer affiliation mediates the prospective association from impulsivity to alcohol use in late adolescence

Wilhoit

Goodnight

2022

Journal of Adolescence

View full text Add to dashboard Cite

Introduction: Previous research has found that impulsivity and deviant peer affiliation predict alcohol use among adolescents. However, it remains unclear to what extent these risk factors predict alcohol use in conjunction with one another, and to what extent they predict over and above correlated risk factors, such as pre-existing externalizing problems and sociodemographic characteristics. The present study tested the hypothesis that deviant peer affiliation would mediate the prospective association between impulsivity and alcohol use in adolescence (ages 13-18 years), controlling for a wide range of family and child-level covariates. Methods: Analyses were conducted using data from 2318 participants from the Longitudinal Cohort Study of the Project on Human Development in Chicago Neighborhoods. Participants were approximately 9, 12, or 15 years of age at wave 1 of the study, with waves 2 and 3 taking place at approximately 2-year intervals. The sample composition was 50.3% male, 46.1% Hispanic, 35.6% Black, non-Hispanic, 14.4% White, non-Hispanic, and 3.9% other race/ethnicity. Results: Results from path analyses indicated that the prospective association between impulsivity and alcohol use was mediated by peer deviance, but only for the oldest (age 15) cohort. Conclusions: Findings from the present study suggest that despite impulsivity being a dispositional characteristic, its effects on alcohol use in later adolescence are achieved through a social pathway, via affiliation with deviant peers. It further suggests that this pathway, especially the link from impulsivity to affiliation with deviant peers, may not operate until late adolescence. Findings suggest that alcohol use may be prevented or reduced among impulsive adolescents by reducing their exposure to delinquent peers.

show abstract

Testing Mediation in Structural Equation Modeling

Cited by 66 publications

References 22 publications

A Note on Testing Mediated Effects in Structural Equation Models

A Note on Testing Mediated Effects in Structural Equation Models

Support for rights of Syrian refugees in Turkey: The role of secondary transfer effects in intergroup contact

Deviant peer affiliation mediates the prospective association from impulsivity to alcohol use in late adolescence

Contact Info

Product

Resources

About