Interpreting Structural Equation Modeling Results: A Reply to Martin and Cullen

Dion, Paul A.

doi:10.1007/s10551-007-9634-7

Cited by 85 publications

(60 citation statements)

References 1 publication

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“…As is true in any statistical method, the goal of SEM models is to describe the data with as good of fit as possible. 16 Models define theoretically appropriate relationships between the measured and latent variables; "good models" are defined as explaining the variability in the data set better than when no model is defined, in other words, with no defined relationships. 17 For SEM, any proposed model must fulfill minimum requirements on several "goodness-of-fit" (GOF) statistics.…”

Section: Survey Participantsmentioning

confidence: 99%

“…Essentially, all GOF measures check the SEM model versus the null hypothesis, which in this case is a model that restricts covariance of any modeled variables to be equal to the sample covariance. 16 The null hypothesis overspecifies the relationships present in the data. The main GOF statistic is the likelihood ratio chi-squared (χ 2 ), which measures the cumulative difference between variance predicted by the model and that predicted by the null hypothesis.…”

Section: Survey Participantsmentioning

confidence: 99%

“…CFI and TLI values should approach unity, with ≥0.95 values considered good. 16,18 Finally, the Coefficient of Determination (CD) is an R 2 statistic for the overidentified model; as with R 2 in linear regression modeling, values approaching unity are desirable. If a "majority of the [GOF] indexes indicate a good fit, then there is probably a good fit."…”

Section: Survey Participantsmentioning

confidence: 99%

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Using Structural Equation Modeling To Understand Chemistry Faculty Familiarity of Assessment Terminology: Results from a National Survey

2013

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Chemistry departments have felt pressure in recent years to produce quality data on student achievement of learning outcomes. External (e.g., accreditation agencies) and internal (e.g., academic deans) entities are demanding regular review of student achievement. It is thus necessary for the chemistry community to develop valid and reliable instruments to assess student learning. With chemistry faculty members' integration into assessment practices, it is important that these faculty members have a sufficient understanding of the quality of and limitations to the interpretation of assessment data. As part of a larger national survey, 1505 chemistry faculty members from a diverse array of postsecondary institutions and teaching experience responded to a series of questions regarding their familiarity with assessment terminology. Advanced confirmatory factor analysis was conducted via structural equation modeling to represent an overall structure of faculty members' assessment knowledge. ABSTRACT: Chemistry departments have felt pressure in recent years to produce quality data on student achievement of learning outcomes. External (e.g., accreditation agencies) and internal (e.g., academic deans) entities are demanding regular review of student achievement. It is thus necessary for the chemistry community to develop valid and reliable instruments to assess student learning. With chemistry faculty members' integration into assessment practices, it is important that these faculty members have a sufficient understanding of the quality of and limitations to the interpretation of assessment data. As part of a larger national survey, 1505 chemistry faculty members from a diverse array of postsecondary institutions and teaching experience responded to a series of questions regarding their familiarity with assessment terminology. Advanced confirmatory factor analysis was conducted via structural equation modeling to represent an overall structure of faculty members' assessment knowledge.

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Section: Survey Participantsmentioning

confidence: 99%

Section: Survey Participantsmentioning

confidence: 99%

Section: Survey Participantsmentioning

confidence: 99%

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Using Structural Equation Modeling To Understand Chemistry Faculty Familiarity of Assessment Terminology: Results from a National Survey

2013

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“…CMIN/df (i.e., chi-square statistic divided by the model degrees of freedom) was used to measure the fit of the model to the data. Acceptable values are considered to be as close to 1 as possible [20]. TLI (i.e., Tucker-Lewis index) values approaching 1; and CFI (i.e., confirmatory fit index) values of greater than 0.95 were utilized to test the model to baseline comparisons based on established guidelines [20][21][22][23][24].…”

Section: Methodsmentioning

confidence: 99%

“…Finally, RMSEA (i.e., root mean squared error of approximation) was used to approximate model error. A value of less than 0.05 was used based on established guidelines [20]. Table 2 illustrates differences between females in the analytic sample and those who did not meet our inclusion criteria.…”

Section: Methodsmentioning

confidence: 99%

Perceived Responsibility to Initiate Family Health History Discussions among College Women Associated with Individuals Diagnosed with Heart Disease

Smith¹,

McKyer²,

Ory³

2012

Prim Health Care

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Objectives: To examine young women's perceived responsibility for initiating family health history discussion with their primary care providers when associated with individuals with heart disease.Methods: Data were obtained from an internet-based survey administered to 232 young women enrolled at a large university. Exploratory factor analysis and structural equation modeling were used to relate these women's health beliefs to their perceived responsibility for initiating family health history discussion with their physicians.Results: Heart disease self-risk factors were positively related (β = 0.21, p = 0.005) to the physician being responsible for initiating family health history discussion. Motivation from friends and acquaintances to obtain family health history was positively related (β = -0.17, p = 0.022) to the woman being responsible for initiating family health history discussion. Conclusion:Friends and social networks play an important role in how young women perceive their responsibility for initiating family health history discussion with their primary care providers.

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Sustaining the sustainable development: How do firms turn government green subsidies into financial performance through green innovation?

She

et al. 2021

Bus Strat Env

103

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The impact of government green subsidies on firms' green innovation behaviors and sustainable development has been recognized in the existing literature, but the deep relationship remains poorly understood. This study aims to examine the mechanism of how government green subsidies influence firms' financial performance via green innovation and how the mediating effect varies under different contingent conditions. Empirical results based on data of Chinese listed companies between 2006 and 2018 reveal that green subsidies have positive effects on green process and product innovation, but only green product innovation can rise higher financial performance, which further verifies that green subsidies positively influence financial performance through green product innovation rather than green process innovation. In addition, both higher absorptive capacity and higher market turbulence strengthen the indirect effect of green subsidies on firms' financial performance via green product innovation. Our study provides useful implications for enterprises by revealing the influence mechanism of green subsidies on financial performance through green innovation under different leveraging levels of internal and external conditions. It also provides basis for the government to formulate relevant environmental policies.

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Interpreting Structural Equation Modeling Results: A Reply to Martin and Cullen

Abstract: SEM modeling, fit indices, ethical climate theory,

Cited by 85 publications

References 1 publication

Using Structural Equation Modeling To Understand Chemistry Faculty Familiarity of Assessment Terminology: Results from a National Survey

Using Structural Equation Modeling To Understand Chemistry Faculty Familiarity of Assessment Terminology: Results from a National Survey

Perceived Responsibility to Initiate Family Health History Discussions among College Women Associated with Individuals Diagnosed with Heart Disease

Sustaining the sustainable development: How do firms turn government green subsidies into financial performance through green innovation?

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