scholarly journals Beyond the aggregate score: Using multilevel modeling to examine trajectories of laboratory‐measured aggression

2019 ◽  
Vol 45 (5) ◽  
pp. 498-506 ◽  
Author(s):  
David S. Chester
Keyword(s):  
Multilevel Modeling ◽  
Aggregate Score

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

Online Reputations: Comparing Hospital- and Patient-Generated Ratings in Academic Otolaryngology

2021 ◽  
pp. 000348942110059
Author(s):  
Krystyne Basa ◽  
Nicolette Jabbour ◽  
Matthew Rohlfing ◽  
Sarah Schmoker ◽  
Claire M. Lawlor ◽  
...  
Keyword(s):  
Practice Patterns ◽  
Male Gender ◽  
Lower Score ◽  
Internet Search ◽  
Aggregate Score ◽  
Factors Influencing ◽  
Online Ratings ◽  
Online Rating

Objectives: This study compares hospital-generated online ratings to patient-generated online ratings in academic otolaryngology and evaluates physician factors influencing these results. Methods: Websites of academic otolaryngologists were assessed for inclusion of hospital-generated Press Ganey surveys. Corresponding scores on Healthgrades and Vitals.com were identified via internet search. Hospital ratings were compared with patient-generated ratings, including score, demographics, and number of ratings. All data was collected between July 15th 2019 and August 22nd 2019. Results: 742 academic otolaryngologists with hospital-generated ratings were identified. Mean hospital-generated rating was significantly higher ((4.70, 95% CI 4.69-4.72) than patient-generated rating (Vitals:4.26, 95% CI 4.18-4.34, and Healthgrades:4.02, 95% CI 3.87-4.18; P < .001). In patient-generated rating, an increased number of rating scores (>20) was associated with male gender, professor ranking, and >30 years in practice ( P < .005). Physician demographics did not impact number of ratings in hospital-generated setting. With patient-generated, lower aggregate score was associated with professor ranking ( P = .001). In hospital-generated, lower score was associated with >30+ years in practice ( P = .023). Across all platforms, comprehensive otolaryngologists and neurotologists/otologists were rated lower in comparison to other specialties (PGS: P < .001,Vitals: P = .027,Healthgrades: P = .016). Conclusion: Hospital-generated ratings yield higher mean scores than patient-generated platforms. Between sources, Healthgrades.com scores were lower than those of Vitals.com . Professors with >30 years of practice generated more reviews in patient-generated ratings, and these physicians were generally rated lower. Access to patient-generated ratings is universal and physicians should be aware of variability between online rating platforms as scores may affect referrals and practice patterns.

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