Multi-level factors affecting timely electronic documentation of medication administration: a hierarchical linear modeling approach

2017 ◽  
Vol 6 (2) ◽  
pp. 171-185
Author(s):  
Roopa Raman ◽  
Kimberly Green
Keyword(s):  
Hierarchical Linear Modeling ◽  
Medication Administration ◽  
Linear Modeling ◽  
Electronic Documentation ◽  
Factors Affecting ◽  
Modeling Approach ◽  
Multi Level

scholarly journals Stability of fMRI striatal response to alcohol cues: A hierarchical linear modeling approach

NeuroImage ◽  
2011 ◽  
Vol 56 (1) ◽  
pp. 61-68 ◽  
Author(s):  
Joseph P. Schacht ◽  
Raymond F. Anton ◽  
Patrick K. Randall ◽  
Xingbao Li ◽  
Scott Henderson ◽  
...  
Keyword(s):  
Hierarchical Linear Modeling ◽  
Linear Modeling ◽  
Modeling Approach ◽  
Alcohol Cues

scholarly journals Students’ mathematics achievement in Mindanao context: A meta-analysis

2020 ◽  
Vol 5 (2) ◽  
pp. 148-159
Author(s):  
Roar Abalos Callaman ◽  
Estela Corro Itaas
Keyword(s):  
Mathematics Achievement ◽  
Hierarchical Linear Modeling ◽  
Meta Analysis ◽  
Effect Sizes ◽  
Linear Modeling ◽  
Related Factors ◽  
Public And Private ◽  
Factors Affecting ◽  
Learning Attitudes ◽  
Multi Stage

Over the years, there have been several studies exploring the factors affecting mathematics achievement. However, no study, specifically in the Mindanao context has attempted to summarize or illustrate the model for these sets of studies. This study aims to analyze the overall effect size of the factors on the student’s achievement in mathematics. The causal-comparative research design was utilized to synthesize the existing research about the student-related, teacher-related, and school-related factors that have -greatly influenced students’ mathematics achievement. Through the use of a multi-stage sampling design, 200 existing studies were funneled down to 50 with 158 effect sizes which met the inclusion criteria coming from the different colleges and universities in Mindanao. To determine the significant factors be included in the model that significantly influence students’ achievement, Hierarchical Linear Modeling (HLM) was utilized. The findings revealed that the overall effect sizes have a small effect on mathematics achievement. On the other hand, mathematical skills, attitude, and self-efficacy are found to be the predictors of students’ mathematical achievement. Further, it was concluded that the type of school where the student is studying could cause significant variation in the effect sizes. It is recommended that educational institutions may review regularly the curriculum addressing the disparity of achievement between public and private schools. Also, teachers may utilize varied teaching strategies so that students would develop interest and positive learning attitudes towards mathematics.

scholarly journals New Insights into the Nature of Cerebellar-Dependent Eyeblink Conditioning Deficits in Schizophrenia: A Hierarchical Linear Modeling Approach

2016 ◽  
Vol 7 ◽  
Author(s):  
Amanda R. Bolbecker ◽  
Isaac T. Petersen ◽  
Jerillyn S. Kent ◽  
Josselyn M. Howell ◽  
Brian F. O’Donnell ◽  
...  
Keyword(s):  
Hierarchical Linear Modeling ◽  
Eyeblink Conditioning ◽  
Linear Modeling ◽  
Modeling Approach

Patient Satisfaction and Organizational Impact: A Hierarchical Linear Modeling Approach

2012 ◽  
Vol 29 (3) ◽  
pp. 256-269 ◽  
Author(s):  
Koichiro Otani ◽  
B. Joon Kim ◽  
Brian Waterman ◽  
Sarah Boslaugh ◽  
W. Dean Klinkenberg ◽  
...  
Keyword(s):  
Patient Satisfaction ◽  
Hierarchical Linear Modeling ◽  
Organizational Impact ◽  
Linear Modeling ◽  
Modeling Approach

Multi-level analysis of knowledge transfer: a knowledge recipient’s perspective

2014 ◽  
Vol 18 (4) ◽  
pp. 758-776 ◽  
Author(s):  
Minhyung Kang ◽  
Yong Sauk Hau
Keyword(s):  
Social Capital ◽  
Social Network ◽  
Knowledge Transfer ◽  
Hierarchical Linear Modeling ◽  
Negative Impact ◽  
Three Dimensions ◽  
Linear Modeling ◽  
Content Type ◽  
Individual Level ◽  
Multi Level

Purpose – The purpose of this paper is to adopt the recipient’s perspective to explore multi-level antecedents’ effects on knowledge transfer using social capital and social network theories. Design/methodology/approach – Social network and general attribute survey responses from 331 employees were analyzed through hierarchical linear modeling to verify the study’s multi-level research model and hypotheses. Findings – A recipient’s trust in colleagues positively influences knowledge transfer and company tenure has a negative impact. At a dyadic level, the perceived expertise of a source, in addition to strength of ties, exerts a positive effect on knowledge transfer. Additionally, a recipient’s network centrality moderates the effects of dyadic relationships on knowledge transfer. Research limitations/implications – This study deepened the current understanding of the role of social capital in knowledge transfer from a recipient’s perspective. Three dimensions of a recipient’s social capital respectively showed significant, but different types of influence on knowledge transfer. Interaction effects between individual and dyadic level antecedents should be considered as well. Practical implications – Both a strong tie at a dyadic level and a diverse network at an individual level should be nurtured to facilitate knowledge transfer. In addition, bi-directional knowledge transfer between seasoned employees and new employees should be promoted. Originality/value – Most studies have focused on motivating a knowledge source, assuming that a recipient is always ready to adopt a source’s knowledge. To reduce this bias, the current study examined social capital’s role in knowledge transfer from a recipient’s perspective.

scholarly journals ETHICAL LEADERSHIP VERSUS PERCEIVED ORGANISATIONAL POLITICS AND WORK NEGLECT: A TIME LAGGED MULTI-LEVEL SURVEY

2020 ◽  
Vol 8 (4) ◽  
pp. 1081-1114
Author(s):  
Ufuk BAŞAR
Keyword(s):  
Hierarchical Linear Modeling ◽  
Ethical Leadership ◽  
Self Report ◽  
Modeling Technique ◽  
Linear Modeling ◽  
Multi Level ◽  
Time Lagged ◽  
The Relationship ◽  
Negative Relationships ◽  
Organisational Politics

This research aimed to uncover whether ethical leadership had a role in preventing perceived organisational politics and its undesired consequences, such as work neglect through employees' loyalty to the organisation. Data were collected from 418 employees who report to 52 supervisors and work at four different five-star hotels in Antalya, Turkey, using self-report questionnaires in three distinct periods. Because employees were nested in their leaders, data were analysed using Hierarchical Linear Modeling technique. Findings indicated that ethical leadership resulted in loyalty and perceived organisational politics resulted in work neglect. However, there were negative relationships between ethical leadership and perceived organisational politics and ethical leadership and work neglect. Perceived organisational politics mediated the relationship between ethical leadership and work neglect. Moreover, loyalty mediated the relationships between ethical leadership and perceived organisational politics and between ethical leadership and work neglect.

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