Social support and classroom management are related to secondary students’ general school adjustment: A multilevel structural equation model using student and teacher ratings.

2018 ◽  
Vol 110 (8) ◽  
pp. 1066-1083 ◽  
Author(s):  
Karen Aldrup ◽  
Uta Klusmann ◽  
Oliver Lüdtke ◽  
Richard Göllner ◽  
Ulrich Trautwein
Keyword(s):  
Social Support ◽  
Classroom Management ◽  
Secondary Students ◽  
Structural Equation ◽  
School Adjustment ◽  
Teacher Ratings ◽  
Equation Model ◽  
General School ◽  
Multilevel Structural Equation ◽  
Multilevel Structural Equation Model

scholarly journals Extending the Group Actor-Partner Interdependence Model: MSEM Applications

2021 ◽  
pp. 104649642110124
Author(s):  
Joseph A. Bonito
Keyword(s):  
Structural Equation ◽  
Group Composition ◽  
Equation Model ◽  
Input Process ◽  
Model Framework ◽  
Actor Partner Interdependence Model ◽  
Size Number ◽  
Research Questions ◽  
Multilevel Structural Equation ◽  
Multilevel Structural Equation Model

The Group Actor-Partner Interdependence Model (GAPIM) conceptualizes group composition as a relational construct and provides methods for estimating the effects of compositional characteristics on outcomes of interest. This paper extends the GAPIM to a multilevel structural equation model framework, which expands the range of research questions the GAPIM might address, including those based on input-process-outcome models. Simulations, based on group size, number of groups, effect size, and compositional skewness, provide guidance for designing studies to maximize power to detect compositional effects. Discussion addresses composition in general, especially how “deep” characteristics become manifest and meaningful during interaction.

scholarly journals Rest, Zest, and My Innovative Best: Sleep and Mood as Drivers of Entrepreneurs’ Innovative Behavior

2018 ◽  
Vol 43 (3) ◽  
pp. 582-610 ◽  
Author(s):  
Amanda J. Williamson ◽  
Martina Battisti ◽  
Michael Leatherbee ◽  
J. Jeffrey Gish
Keyword(s):  
Sleep Quality ◽  
Structural Equation ◽  
Equation Model ◽  
Innovative Behavior ◽  
Recovery Model ◽  
High Activation ◽  
Data Points ◽  
Multilevel Structural Equation ◽  
The Relationship ◽  
Multilevel Structural Equation Model

This study investigates the antecedents of an entrepreneur’s day-level innovative behavior. Drawing on 2,420 data points from a 10-day experience sampling study with 121 entrepreneurs, we find that sleep quality is a precursor to an entrepreneur’s subsequent innovative behavior, in accordance with the effort-recovery model. Moreover, sleep quality is positively related to high-activation positive moods (e.g., enthusiastic, inspired) and negatively related to high-activation negative moods (e.g., tension, anxiety). Our multilevel structural equation model indicates that high-activation positive moods mediate the relationship between sleep quality and innovative behavior on a given day. These results are relevant for managing entrepreneurial performance.

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