Meta-analysis of electrically conductive membranes: A comparative review of their materials, applications, and performance

2022 ◽  
pp. 120482
Author(s):  
Melissa J. Larocque ◽  
Adi Gelb ◽  
David R. Latulippe ◽  
Charles-François de Lannoy
Keyword(s):  
Meta Analysis ◽  
Electrically Conductive ◽  
Conductive Membranes ◽  
Comparative Review ◽  
And Performance

Replication of the Superstition and Performance Study by

2014 ◽  
Vol 45 (3) ◽  
pp. 239-245 ◽  
Author(s):  
Robert J. Calin-Jageman ◽  
Tracy L. Caldwell
Keyword(s):  
Task Difficulty ◽  
Statistical Power ◽  
Meta Analysis ◽  
A Priori ◽  
Significant Heterogeneity ◽  
Performance Study ◽  
Improve Performance ◽  
Research Designs ◽  
Series Of Experiments ◽  
And Performance

A recent series of experiments suggests that fostering superstitions can substantially improve performance on a variety of motor and cognitive tasks ( Damisch, Stoberock, & Mussweiler, 2010 ). We conducted two high-powered and precise replications of one of these experiments, examining if telling participants they had a lucky golf ball could improve their performance on a 10-shot golf task relative to controls. We found that the effect of superstition on performance is elusive: Participants told they had a lucky ball performed almost identically to controls. Our failure to replicate the target study was not due to lack of impact, lack of statistical power, differences in task difficulty, nor differences in participant belief in luck. A meta-analysis indicates significant heterogeneity in the effect of superstition on performance. This could be due to an unknown moderator, but no effect was observed among the studies with the strongest research designs (e.g., high power, a priori sampling plan).

Team Learning Behaviors and Performance: A Meta-Analysis of Direct Effects and Moderators

2021 ◽  
pp. 105960112110169
Author(s):  
Christopher W. Wiese ◽  
C. Shawn Burke ◽  
Yichen Tang ◽  
Claudia Hernandez ◽  
Ryan Howell
Keyword(s):  
Team Performance ◽  
Team Learning ◽  
Task Complexity ◽  
Meta Analysis ◽  
Sample Type ◽  
Learning Behaviors ◽  
Learning Teams ◽  
And Performance ◽  
The Relationship ◽  
Team Familiarity

Under what conditions do team learning behaviors best predict team performance? The current meta-analytic efforts synthesize results from 113 effect sizes and 7758 teams to investigate how different conceptualizations (fundamental, intrateam, and interteam), team characteristics (team size and team familiarity), task characteristics (interdependence, complexity, and type), and methodological characteristics (students vs. nonstudents and measurement choice) affect the relationship between team learning behaviors and team performance. Our results suggest that while different conceptualizations of team learning behaviors independently predict performance, only intrateam learning behaviors uniquely predict performance. A more in-depth investigation into the moderating conditions contradicts the familiar adage of “it depends.” The strength of the relationship between intrateam learning behaviors and team performance did not depend on team familiarity, task complexity, or sample type. However, our results suggested this relationship was stronger in larger teams, teams with moderate task interdependence, teams performing project/action tasks, and studies that use measures that capture a wider breadth of the team learning behavior construct space. These efforts suggest that common boundary conditions do not moderate this relationship. Scholars can leverage these results to develop more comprehensive theories addressing the different conceptualizations of team learning behaviors as well as providing clarity on the scenarios where team learning behaviors are most needed. Further, practitioners can use our results to develop more guided team-based policies that can overcome some of the challenges of forming and developing learning teams.

Alliance experience and performance outcomes: A meta-analysis

2021 ◽  
pp. 147612702098287
Author(s):  
Peng Wang ◽  
Xu Jiang ◽  
Maggie Chuoyan Dong
Keyword(s):  
Strategic Alliance ◽  
Meta Analysis ◽  
Group Analysis ◽  
Performance Outcomes ◽  
Country Level ◽  
Different Types ◽  
Performance Consequences ◽  
Controversial Topic ◽  
Alliance Experience ◽  
And Performance

Alliance experience has been a frequent topic in strategic alliance research in recent decades. Nonetheless, its performance consequences, either as a whole or differentiated into general versus partner-specific alliance experience, are neither theoretically clear nor empirically consistent. We use a range of meta-analytic techniques to integrate the empirical findings of 143 studies and provide a more conclusive assessment compared to prior research. Our study thus addresses a long-standing, understudied, and controversial topic: the distinction between the two types of alliance experiences. Going beyond traditional sub-group analysis, we reveal the contextual contingencies by examining how different types of alliance experiences and performance outcomes jointly affect the alliance experience–performance relationship. Moreover, we identify critical country-level institutional contingencies that moderate the focal effect.

scholarly journals Predictive Value of Rotterdam Score and Marshall Score in Traumatic Brain Injury: A Contemporary Review

2021 ◽  
Author(s):  
Rakesh Mishra ◽  
Harold Enrique Vasquez Ucros ◽  
William Andres Florez-Perdomo ◽  
José Rojas Suarez ◽  
Luis Rafael Moscote-Salazar ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Meta Analysis ◽  
Poor Performance ◽  
Scoring Systems ◽  
Good Evidence ◽  
Medical Subject Headings ◽  
Comparative Review ◽  
Marshall Score ◽  
Ct Classification

AbstractThis article conducts a contemporary comparative review of the medical literature to update and establish evidence as to which framework among Rotterdam and Marshall computed tomography (CT)-based scoring systems predicts traumatic brain injury (TBI) outcomes better. The scheme followed was following the recommendations of the Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines for literature search. The search started on August 15, 2020 and ended on December 31, 2020. The combination terms used were Medical Subject Headings terms, combination keywords, and specific words used for describing various pathologies of TBI to identify the most relevant article in each database. PICO question to guide the search strategy was: “what is the use of Marshall (I) versus Rotterdam score (C) in TBI patients (P) for mortality risk stratification (O).” The review is based on 46 references which included a full review of 14 articles for adult TBI patients and 6 articles for pediatric TBI articles comparing Rotterdam and Marshall CT scores. The review includes 8,243 patients, of which 2,365 were pediatric and 5,878 were adult TBI patients. Marshall CT classification is not ordinal, is more descriptive, has better inter-rater reliability, and poor performance in a specific group of TBI patients requiring decompressive craniectomy. Rotterdam CT classification is ordinal, has better discriminatory power, and a better description of the dynamics of intracranial changes. The two scoring systems are complimentary. A combination of clinical parameters, severity, ischemic and hemodynamic parameters, and CT scoring system could predict the prognosis of TBI patients with significant accuracy. None of the classifications has good evidence for use in pediatric patients.

Investigating the stability of electrically conductive membranes

2021 ◽  
Vol 627 ◽  
pp. 119181
Author(s):  
Mohamad Amin Halali ◽  
Melissa Larocque ◽  
Charles-Franҫois de Lannoy
Keyword(s):  
Electrically Conductive ◽  
Conductive Membranes ◽  
The Stability

Organizational Ambidexterity and Performance: A Meta-Analysis

2013 ◽  
Vol 27 (4) ◽  
pp. 299-312 ◽  
Author(s):  
Paulina Junni ◽  
Riikka M. Sarala ◽  
Vas Taras ◽  
Shlomo Y. Tarba
Keyword(s):  
Meta Analysis ◽  
Organizational Ambidexterity ◽  
And Performance

Diversity in Alliance Portfolios and Performance Outcomes: A Meta-Analysis

2014 ◽  
Vol 43 (5) ◽  
pp. 1472-1497 ◽  
Author(s):  
Donghun (Don) Lee ◽  
Katie Kirkpatrick-Husk ◽  
Ravi Madhavan
Keyword(s):  
Positive Impact ◽  
Theoretical Orientation ◽  
Meta Analysis ◽  
Performance Outcomes ◽  
Alliance Portfolio ◽  
Quantitative Synthesis ◽  
And Performance ◽  
The Relationship ◽  
Level Of Analysis ◽  
Alliance Portfolios

Given the increasing interest in alliance portfolios, alliance portfolio diversity (APD) has been the focus of many recent studies. Yet, the performance consequences of APD—or of diversity in general—are neither theoretically clear nor empirically consistent. With meta-analytic analyses, we assess extant research on the APD–performance link. Across studies, APD has a positive impact on performance, although the level of analysis and how performance is measured influence the relationship. Going beyond conventional quantitative synthesis, however, we also systematically uncover patterns in how theoretical orientation and the operationalization of diversity moderate the APD–performance relationship. Our study serves as an invitation for future APD studies to employ more sophisticated theoretical and operationalization approaches as they expand our knowledge of diversity in alliance portfolios.

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