Unconstrained Structural Equation Models of Latent Interactions: Contrasting Residual- and Mean-Centered Approaches

Marsh, Herbert W.; Wen, Zefeng; Hau, Kit‐Tai; Little, Todd D.; Bovaird, James A.; Widaman, Keith F.

doi:10.1080/10705510701303921

Cited by 95 publications

(78 citation statements)

References 9 publications

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“…Hypotheses 4, 5, and 6. To test the moderation effect of generation in control, we followed the "mean-centered unconstrained approach for estimating interaction effects" from Marsh, Wen, & Hau (2004b) and Marsh et al (2007). 9 Moderation was also tested through an OLS analysis in STATA 12.…”

Section: Stage 1: Results Of the Measurement Modelmentioning

confidence: 99%

Knowledge Internalization and Product Development in Family Firms: When Relational and Affective Factors Matter

Chirico

Salvato

2016

Entrepreneurship Theory and Practice

166

201

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Understanding the forces that support and inhibit product development (PD) in family firms is central to explaining their long–term success and survival. Our study reveals that social capital and relational conflict among family members do not affect PD directly, as existing theory suggests, but only through the internalization of knowledge among family members. In contrast, family members’ affective commitment to the family firm is so powerful that it has both a mediated and a direct effect on PD. These results differ across generations of the controlling family, therefore offering an extension of existing theories of knowledge and PD in family firms.

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Section: Stage 1: Results Of the Measurement Modelmentioning

confidence: 99%

Knowledge Internalization and Product Development in Family Firms: When Relational and Affective Factors Matter

Chirico

Salvato

2016

Entrepreneurship Theory and Practice

166

201

View full text Add to dashboard Cite

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“…To reduce the model complexity, for political climate and OCB, we treated their dimensions as indicators (Wang et al 2005). The interaction product of political climate and task conflict was created using the mean-centered unconstrained approach suggested by Marsh et al (2004Marsh et al ( , 2007. We tested mediation by inspecting the statistical significance of structural coefficients making up a meditational pathway (Kenny et al 1998;MacKinnon et al 2002).…”

Section: Data Analytic Strategymentioning

confidence: 99%

Team Conflict Mediates the Effects of Organizational Politics on Employee Performance: A Cross-Level Analysis in China

2015

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The present study expands on the growing literature concerning organizational politics (OP) by assessing the impact of team-level OP on employee performance outcomes as well as investigating the degree to which these effects are mediated by team conflict. The results, based on multilevel structural equation modeling with a sample of 349 employees from 78 firms in China, lent support for a cross-level mediating role for team conflict between political climate and employee performance. Further, moderator analyses demonstrated that political climate acted as a condition for task conflict to trigger relationship conflict. Thus, the results of this study contribute to both the political climate literature and the conflict literature by clarifying the processes by which climate can influence employee performance.

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“…Marsh et al (2004) as well as Little et al (2006) provided evidence from Monte Carlo simulations showing that their approaches were comparable with traditional approaches in terms of Type I error and parameter bias. Furthermore, both groups of authors recently showed that their approaches can be algebraically integrated (Marsh et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

Three Approaches to Estimate Latent Interaction Effects: Intention and Perceived Behavioral Control in the Theory of Planned Behavior

Steinmetz

Davidov

Schmidt

2011

Methodological Innovations Online

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, P (2011). Three approaches to estimate latent interaction effects: intention and perceived behavioral control in the theory of planned behavior. Methodological Innovations Online, 6(1): 95-110. Three approaches to estimate latent interaction effects: intention and perceived behavioral control in the theory of planned behavior AbstractInteraction effects between explanatory constructs are an important part of many social theories. Analyses of interaction effects between variables using regression techniques have low power because they do not control for measurement errors. Therefore, latent interaction modeling using structural equation modeling (SEM) has been proposed as a better alternative to test for interaction effects. In contrast to traditional and complicated 'constrained' SEM approaches, two recent developments, the unconstrained approach and the residual centering approach, are especially attractive for applied researchers as they are much easier to implement. However, applied researchers still seem to be unsure about how to apply these approaches. In this study, we illustrate the use of the unconstrained and the residual centering approach and compare these approaches with the constrained approach of Algina and Moulder (2001) using data from a field study of 1,442 students. Theoretical background is the theory of planned behavior (Ajzen, 1991) in which we test the proposed interaction between an individual's intention to perform a behavior and perceived behavioral control (PBC) on behavior. The illustration should assist researchers interested in testing interaction effects using structural equation modeling. AbstractInteraction effects between explanatory constructs are an important part of many social theories. Analyses of interaction effects between variables using regression techniques have low power because they do not control for measurement errors. Therefore, latent interaction modeling using structural equation modeling (SEM) has been proposed as a better alternative to test for interaction effects. In contrast to traditional and complicated 'constrained' SEM approaches, two recent developments, the unconstrained approach and the residual centering approach, are especially attractive for applied researchers as they are much easier to implement. However, applied researchers still seem to be unsure about how to apply these approaches. In this study, we illustrate the use of the unconstrained and the residual centering approach and compare these approaches with the constrained approach of Algina and Moulder (2001) using data from a field study of 1,442 students. Theoretical background is the theory of planned behavior (Ajzen, 1991) in which we test the proposed interaction between an individual's intention to perform a behavior and perceived behavioral control (PBC) on behavior. The illustration should assist researchers interested in testing interaction effects using structural equation modeling.

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Unconstrained Structural Equation Models of Latent Interactions: Contrasting Residual- and Mean-Centered Approaches

Cited by 95 publications

References 9 publications

Knowledge Internalization and Product Development in Family Firms: When Relational and Affective Factors Matter

Knowledge Internalization and Product Development in Family Firms: When Relational and Affective Factors Matter

Team Conflict Mediates the Effects of Organizational Politics on Employee Performance: A Cross-Level Analysis in China

Three Approaches to Estimate Latent Interaction Effects: Intention and Perceived Behavioral Control in the Theory of Planned Behavior

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