Multilevel Modeling

2009 ◽  
pp. 507-525 ◽  
Author(s):  
S. V. Subramanian
Keyword(s):  
Multilevel Modeling

Power Values and Power Distance Moderate the Relationship Between Workplace Supervisory Power and Job Satisfaction

2020 ◽  
Vol 19 (3) ◽  
pp. 135-141
Author(s):  
Kenneth D. Locke
Keyword(s):  
Job Satisfaction ◽  
Multilevel Modeling ◽  
Power Distance ◽  
European Social Survey ◽  
Social Survey ◽  
The Relationship ◽  
Workplace Power ◽  
Over Time

Abstract. Person–job (or needs–supplies) discrepancy/fit theories posit that job satisfaction depends on work supplying what employees want and thus expect associations between having supervisory power and job satisfaction to be more positive in individuals who value power and in societies that endorse power values and power distance (e.g., respecting/obeying superiors). Using multilevel modeling on 30,683 European Social Survey respondents from 31 countries revealed that overseeing supervisees was positively associated with job satisfaction, and as hypothesized, this association was stronger among individuals with stronger power values and in nations with greater levels of power values or power distance. The results suggest that workplace power can have a meaningful impact on job satisfaction, especially over time in individuals or societies that esteem power.

Predictors of grit: A multilevel model examination of demographics and school experiences

2018 ◽  
Author(s):  
Dana Wanzer
Keyword(s):  
Academic Success ◽  
School Culture ◽  
Multilevel Modeling ◽  
Predictive Validity ◽  
School Engagement ◽  
Multilevel Model ◽  
School Experiences ◽  
School Level ◽  
School Demographics ◽  
And Gender

Much of the research on grit has examined its predictive validity toward academic success; however, little research has treated grit as an outcome. This study uses multilevel modeling to examine how student-level demographics, school-level demographics, and students’ experiences in school predict grit. Results demonstrate that students’ experiences in school—including school engagement, relationships with adults and peers, and school culture—and self-reported GPA were most strongly related to grit, ethnicity was weakly related to grit, and gender and school demographics did not significantly relate to grit. Implications of this research on the potential malleability of grit are discussed.

The Impact of School Environment and Grade Level on Student Delinquency: A Multilevel Modeling Approach

2020 ◽  
Author(s):  
Celia C. Lo ◽  
Young S. Kim ◽  
Thomas Allen ◽  
Andrea Allen ◽  
P. Allison Minugh ◽  
...  
Keyword(s):  
Multilevel Modeling ◽  
School Environment ◽  
Grade Level ◽  
Modeling Approach ◽  
The Impact

scholarly journals Use of multilevel modeling to examine variability of distracted driving behavior in naturalistic driving studies

2021 ◽  
Vol 152 ◽  
pp. 105986
Author(s):  
Sara A. Freed ◽  
Lesley A. Ross ◽  
Alyssa A. Gamaldo ◽  
Despina Stavrinos
Keyword(s):  
Multilevel Modeling ◽  
Driving Behavior ◽  
Distracted Driving ◽  
Naturalistic Driving

Mandatory First Impressions: Happy Expressions Increase Trustworthiness Ratings of Subsequent Neutral Images

Perception ◽  
2021 ◽  
Vol 50 (2) ◽  
pp. 103-115
Author(s):  
S. M. Thierry ◽  
A. C. Twele ◽  
C. J. Mondloch
Keyword(s):  
Multilevel Modeling ◽  
Facial Expressions ◽  
Real World ◽  
Face Processing ◽  
First Impressions ◽  
Automatic Process ◽  
Behavioral Consequences

First impressions of traits are formed rapidly and nonconsciously, suggesting an automatic process. We examined whether first impressions of trustworthiness are mandatory, another component of automaticity in face processing. In Experiment 1a, participants rated faces displaying subtle happy, subtle angry, and neutral expressions on trustworthiness. Happy faces were rated as more trustworthy than neutral faces; angry faces were rated as less trustworthy. In Experiment 1b, participants learned eight identities, half showing subtle happy and half showing subtle angry expressions. They then rated neutral images of these same identities (plus four novel neutral faces) on trustworthiness. Multilevel modeling analyses showed that identities previously shown with subtle expressions of happiness were rated as more trustworthy than novel identities. There was no effect of previously seen subtle angry expressions on ratings of trustworthiness. Mandatory first impressions based on subtle facial expressions were also reflected in two ratings designed to assess real-world outcomes. Participants indicated that they were more likely to vote for identities that had posed happy expressions and more likely to loan them money. These findings demonstrate that first impressions of trustworthiness based on previously seen subtle happy, but not angry, expressions are mandatory and are likely to have behavioral consequences.

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