Supplemental Material for A General Multilevel SEM Framework for Assessing Multilevel Mediation

Existing studies of the impact of economic development on political trust in China have two major gaps: they fail to explain how economic development contributes to the hierarchical trust pattern, and they do not pay enough attention to the underlying mechanisms. In light of cultural theory and political control theory, we propose adapting performance theory into a theory of “asymmetrical attribution of performance” to better illuminate the case of China. This adapted theory leads to dual pathway theses: expectation fulfillment and local blaming. Using a multilevel mediation model, we show that expectation fulfillment mainly upholds trust in the central government, whereas local blaming undermines trust in local governments. We also uncover a rural–urban distinction in the dual pathway, revealing that both theses are more salient among rural Chinese.

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Calculating level-specific SEM fit indices for multilevel mediation analyses

The Stata Journal Promoting communications on statistics and Stata ◽

10.1177/1536867x211000022 ◽

2021 ◽

Vol 21 (1) ◽

pp. 195-205

Author(s):

W. Scott Comulada

Keyword(s):

Methadone Maintenance Treatment ◽

Maintenance Treatment ◽

Multilevel Models ◽

Mean Squared Error ◽

Methadone Maintenance ◽

Fit Indices ◽

Mediation Analyses ◽

Multilevel Mediation ◽

Squared Error ◽

Fit Index

Stata’s gsem command provides the ability to fit multilevel structural equation models (SEM) and related multilevel models. A motivating example is provided by multilevel mediation analyses (MA) conducted on patient data from Methadone Maintenance Treatment clinics in China. Multilevel MA conducted through the gsem command examined the mediating effects of patients’ treatment progression and rapport with counselors on their treatment satisfaction. Multilevel models accounted for the clustering of patient observations within clinics. SEM fit indices, such as the comparative fit index and the root mean squared error of approximation, are commonly used in the SEM model selection process. Multilevel models present challenges in constructing fit indices because there are multiple levels of hierarchy to account for in establishing goodness of fit. Level-specific fit indices have been proposed in the literature but have not been incorporated into the gsem command. I created the gsemgof command to fill this role. Model results from the gsem command are used to calculate the level-specific comparative fit index and root mean squared error of approximation fit indices. I illustrate the gsemgof command through multilevel MA applied to two-level Methadone Maintenance Treatment data.

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Sleep Behaviors in Persons With Alzheimer’s Disease: Associations With Caregiver Sleep and Affect

Journal of Applied Gerontology ◽

10.1177/0733464820979244 ◽

2020 ◽

pp. 073346482097924

Author(s):

Molly A. Mather ◽

Holly B. Laws ◽

Jasmine S. Dixon ◽

Rebecca E. Ready ◽

Anna M. Akerstedt

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Family Caregivers ◽

Daily Diary ◽

Poor Sleep ◽

Multilevel Mediation ◽

Diary Data ◽

Retrospective Reports ◽

Disease Associations ◽

Sleep Behaviors

Poor sleep in persons with Alzheimer’s disease (AD) is a common stressor for family caregivers. Retrospective reports support associations between sleep disturbance in persons with AD and worse caregiver mood; however, prospective associations between sleep in persons with AD and caregiver outcomes have not been studied. The current study determined associations between affect and sleep of persons with AD and their caregivers using daily diary data. Multilevel mediation models indicated that sleep in persons with AD is linked to caregiver affect; furthermore, these associations are mediated by sleep characteristics in caregivers and affect in persons with AD. Daily fluctuations in sleep behaviors in persons with AD—rather than average values—were most strongly associated with caregiver outcomes. Interventions to improve sleep in persons with AD may decrease their negative affect and improve caregiver mood.

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Gender, reasoning ability, and scholastic achievement: A multilevel mediation analysis

Learning and Individual Differences ◽

10.1016/j.lindif.2008.11.007 ◽

2009 ◽

Vol 19 (2) ◽

pp. 229-233 ◽

Cited By ~ 15

Author(s):

Jörg-Tobias Kuhn ◽

Heinz Holling

Keyword(s):

Mediation Analysis ◽

Scholastic Achievement ◽

Reasoning Ability ◽

Multilevel Mediation

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Servant Leadership and Service Performance: A Multilevel Mediation Model

Psychological Reports ◽

10.1177/0033294120950302 ◽

2020 ◽

pp. 003329412095030

Author(s):

Jui-Chen Peng ◽

Shou-Wei Chen

Keyword(s):

Servant Leadership ◽

Work Engagement ◽

Analysis Data ◽

Service Performance ◽

Future Research ◽

Frontline Employees ◽

Multilevel Mediation ◽

Two Factors ◽

A Chain ◽

The Relationship

This study proposes and tests a multilevel mediation framework to explicate the processes that link servant leadership to frontline employees’ service performance at both the employee and the branch levels of analysis. Data were obtained from 58 branch managers and 324 branch frontline employees of a chain restaurant in Taiwan. The results of hierarchical linear modelling indicate that two factors, concern climate and work engagement, mediate the relationship between branch managers’ servant leadership and frontline employees’ service performance; and that work engagement mediates the relationship between concern climate and such service performance. The theoretical and practical implications of these findings are considered, along with future research directions and the study’s limitations.

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