scholarly journals Data-Driven Assessment Modeling 
of Partnership Data

2021 ◽  
Author(s):  
Matthew Seto ◽  
Kristin Medlin
Keyword(s):  
Community Engagement ◽  
High Strength ◽  
Assessment Model ◽  
Qualitative Assessment ◽  
Future Research ◽  
Institutional Research ◽  
University Partnerships ◽  
Team Members ◽  
Data Points ◽  
High Level

What does it mean to be in a strong partnership? Using Collaboratory’s national dataset of community engagement data, we explored partnerships between higher education institutions and the community organizations with which they are partnered. Our goals were to 1- understand what quantitative characteristics from Collaboratory denote ‘strong’ community-university partnerships, 2- use those characteristics to create an algorithmic assessment model to identify the strongest partnerships in the Collaboratory dataset, and 3- reveal common themes that practitioners can leverage to cultivate stronger and more resilient partnerships. With input from Collaboratory administrators, community engagement professionals, and institutional research team members, we identified four quantitative data points in Collaboratory data that we combined into a partnership strength model. The model identified 99 out of 2,083 community-university partnerships that might be classified as high-strength. The model’s results represent an initial jumping-off point for future research, including qualitative assessment of the 99 strongest partnerships to validate the model. Additionally, we argue that quantitative assessment of qualitative partnerships is by no means a silver bullet, but instead represents a pragmatic method of high-level assessment and quick filtering of large datasets of qualitative partnership data that would otherwise be prohibitively time-consuming.

scholarly journals Quantitative Evidence of Students’ Use of Social Networks and Social Categorization When Self-Selecting Teams

2018 ◽  
Vol 40 (3) ◽  
pp. 161-175
Author(s):  
Wayne A. Neu
Keyword(s):  
Decision Making ◽  
Good Deal ◽  
Social Categorization ◽  
Social Cues ◽  
Future Research ◽  
Team Members ◽  
Quantitative Evidence ◽  
High Level ◽  
Team Assignment ◽  
Level Of Importance

This article presents two studies aimed at understanding consequences of giving students complete decision-making authority to select team members for a team assignment. Study 1 concludes that students place a high level of importance on cognitively categorizing their classmates as those to approach and avoid when self-selecting teams, and they put forth a good deal of effort to actually approach some classmates and avoid others. The approach category forms for most students as they develop a team assignment social network comprised of classmates who are highly trusted and believed to be high in trustworthiness. Study 2 finds evidence that, in the absence of network members and prior knowledge of each other, students use social cues (style of dress) to cognitively categorize classmates and make inferences about their trustworthiness based on the category in which they are placed. Study 2 also finds that style of dress influences students’ trust in their classmates, preference for who they want on their team, and effort they would put forth to approach some classmates and avoid others. Implications and opportunities for future research are discussed.

scholarly journals Model structure for protocol adherence utilizing a manualized therapeutic massage intervention

2018 ◽  
Vol 16 (2) ◽  
Author(s):  
Erika R. Larson ◽  
Becky Kinkead ◽  
Sherry A. Edwards ◽  
Pamela J. Schettler ◽  
Boadie W. Dunlop ◽  
...  
Keyword(s):  
Early Phase ◽  
Assessment Model ◽  
Future Research ◽  
Massage Therapist ◽  
Cancer Related Fatigue ◽  
Monitoring Model ◽  
Phase Study ◽  
Massage Therapists ◽  
High Level ◽  
Study Participants

Abstract Background The Protocol Training and Assessment Model (Model) was developed through collaboration between Emory University School of Medicine and Atlanta School of Massage to minimize intra- and inter-therapist variability for two research massage therapist (rMT) applied intervention arms in the Massage for Cancer-Related Fatigue (MCRF) early-phase study. The Model was followed to maintain and assess protocol integrity for the study’s manualized Swedish massage therapy (SMT) and light touch (LT) interventions. Methods The Model includes initial rMT training, quarterly retraining sessions, accessible resources (scripts, treatment guides, weekly research personnel meetings), and ongoing monitoring. Model efficacy was assessed by monitoring data collected at retraining sessions, through audio recording review, and through subject and rMT reporting. Results Model application resulted in a high level of intervention consistency throughout the study. Protocol-related session comment rate by subjects was 2.7%. Few study participants reported intra-rMT or inter-rMT treatment delivery differences. Observation during retraining sessions indicated massage therapists continued to adhere to protocols. Importantly rMTs increased their participation beyond core duties, suggesting additional ways to standardize subject treatment experience. Conclusions Through systematic application of the Protocol Training and Assessment Model, continuous and collaborative quality improvement discussions between scientists and research massage therapists resulted in reliable, standardized SMT and LT interventions for the MCRF early-phase study. Future research can apply the Model to support and assess consistent rMT-delivered intervention applications.

Development of a German-Language Questionnaire to Measure Collective Orientation as an Individual Attitude

2017 ◽  
Vol 76 (3) ◽  
pp. 91-105 ◽  
Author(s):  
Vera Hagemann
Keyword(s):  
Team Performance ◽  
Reliability And Validity ◽  
Future Research ◽  
German Language ◽  
Team Members ◽  
Collective Orientation ◽  
Team Research ◽  
German Speaking ◽  
Individual Variables ◽  
The Individual

Abstract. The individual attitudes of every single team member are important for team performance. Studies show that each team member’s collective orientation – that is, propensity to work in a collective manner in team settings – enhances the team’s interdependent teamwork. In the German-speaking countries, there was previously no instrument to measure collective orientation. So, I developed and validated a German-language instrument to measure collective orientation. In three studies (N = 1028), I tested the validity of the instrument in terms of its internal structure and relationships with other variables. The results confirm the reliability and validity of the instrument. The instrument also predicts team performance in terms of interdependent teamwork. I discuss differences in established individual variables in team research and the role of collective orientation in teams. In future research, the instrument can be applied to diagnose teamwork deficiencies and evaluate interventions for developing team members’ collective orientation.

The Relationship Between Leader–Member Exchange and Employees’ Proactive Behaviors

2019 ◽  
Vol 18 (2) ◽  
pp. 106-111
Author(s):  
Fong-Yi Lai ◽  
Szu-Chi Lu ◽  
Cheng-Chen Lin ◽  
Yu-Chin Lee
Keyword(s):  
Hierarchical Linear Modeling ◽  
Future Research ◽  
Leader Member Exchange ◽  
Voice Behavior ◽  
Linear Modeling ◽  
Team Members ◽  
Member Exchange ◽  
Multi Temporal ◽  
The Relationship ◽  
Practical Implications

Abstract. The present study proposed that, unlike prior leader–member exchange (LMX) research which often implicitly assumed that each leader develops equal-quality relationships with their supervisors (leader’s LMX; LLX), every leader develops different relationships with their supervisors and, in turn, receive different amounts of resources. Moreover, these differentiated relationships with superiors will influence how leader–member relationship quality affects team members’ voice and creativity. We adopted a multi-temporal (three wave) and multi-source (leaders and employees) research design. Hypotheses were tested on a sample of 227 bank employees working in 52 departments. Results of the hierarchical linear modeling (HLM) analysis showed that LLX moderates the relationship between LMX and team members’ voice behavior and creative performance. Strengths, limitations, practical implications, and directions for future research are discussed.

Power of Modified Brown-Forsythe and Mixed-Model Approaches in Split-Plot Designs

Methodology ◽  
2017 ◽  
Vol 13 (1) ◽  
pp. 9-22 ◽  
Author(s):  
Pablo Livacic-Rojas ◽  
Guillermo Vallejo ◽  
Paula Fernández ◽  
Ellián Tuero-Herrero
Keyword(s):  
Repeated Measures ◽  
Statistical Power ◽  
Mixed Model ◽  
Covariance Structure ◽  
Simulation Method ◽  
Future Research ◽  
Repeated Measures Design ◽  
Fixed And Random Effects ◽  
Split Plot ◽  
High Level

Abstract. Low precision of the inferences of data analyzed with univariate or multivariate models of the Analysis of Variance (ANOVA) in repeated-measures design is associated to the absence of normality distribution of data, nonspherical covariance structures and free variation of the variance and covariance, the lack of knowledge of the error structure underlying the data, and the wrong choice of covariance structure from different selectors. In this study, levels of statistical power presented the Modified Brown Forsythe (MBF) and two procedures with the Mixed-Model Approaches (the Akaike’s Criterion, the Correctly Identified Model [CIM]) are compared. The data were analyzed using Monte Carlo simulation method with the statistical package SAS 9.2, a split-plot design, and considering six manipulated variables. The results show that the procedures exhibit high statistical power levels for within and interactional effects, and moderate and low levels for the between-groups effects under the different conditions analyzed. For the latter, only the Modified Brown Forsythe shows high level of power mainly for groups with 30 cases and Unstructured (UN) and Autoregressive Heterogeneity (ARH) matrices. For this reason, we recommend using this procedure since it exhibits higher levels of power for all effects and does not require a matrix type that underlies the structure of the data. Future research needs to be done in order to compare the power with corrected selectors using single-level and multilevel designs for fixed and random effects.

COVID-19 Outbreak Prediction with Machine Learning

2020 ◽  
Author(s):  
Sina Faizollahzadeh Ardabili ◽  
Amir Mosavi ◽  
Pedram Ghamisi ◽  
Filip Ferdinand ◽  
Annamaria R. Varkonyi-Koczy ◽  
...  
Keyword(s):  
Machine Learning ◽  
Prediction Models ◽  
Fuzzy Inference ◽  
Control Measures ◽  
Future Research ◽  
Complex Nature ◽  
Inference System ◽  
Wide Range ◽  
Standard Models ◽  
High Level

Several outbreak prediction models for COVID-19 are being used by officials around the world to make informed-decisions and enforce relevant control measures. Among the standard models for COVID-19 global pandemic prediction, simple epidemiological and statistical models have received more attention by authorities, and they are popular in the media. Due to a high level of uncertainty and lack of essential data, standard models have shown low accuracy for long-term prediction. Although the literature includes several attempts to address this issue, the essential generalization and robustness abilities of existing models needs to be improved. This paper presents a comparative analysis of machine learning and soft computing models to predict the COVID-19 outbreak as an alternative to SIR and SEIR models. Among a wide range of machine learning models investigated, two models showed promising results (i.e., multi-layered perceptron, MLP, and adaptive network-based fuzzy inference system, ANFIS). Based on the results reported here, and due to the highly complex nature of the COVID-19 outbreak and variation in its behavior from nation-to-nation, this study suggests machine learning as an effective tool to model the outbreak. This paper provides an initial benchmarking to demonstrate the potential of machine learning for future research. Paper further suggests that real novelty in outbreak prediction can be realized through integrating machine learning and SEIR models.

Research on High-Speed Cutting of Cr12MoV Hardened Steel - A Review

2020 ◽  
Vol 15 ◽  
Author(s):  
Fei Sun ◽  
Guohe Li ◽  
Qi Zhang ◽  
Meng Liu
Keyword(s):  
High Speed ◽  
Cutting Temperature ◽  
High Hardness ◽  
High Strength ◽  
Hardened Steel ◽  
Parameters Optimization ◽  
Future Research ◽  
High Speed Machining ◽  
Machined Surface ◽  
Stamping Die

: Cr12MoV hardened steel is widely used in the manufacturing of stamping die because of its high strength, high hardness, and good wear resistance. As a kind of mainstream cutting technology, high-speed machining has been applied in the machining of Cr12MoV hardened steel. Based on the review of a large number of literature, the development of high-speed machining of Cr12MoV hardened steel was summarized, including the research status of the saw-tooth chip, cutting force, cutting temperature, tool wear, machined surface quality, and parameters optimization. The problems that exist in the current research were discussed and the directions of future research were pointed out. It can promote the development of high-speed machining of Cr12MoV hardened steel.

The Contingent Effect of Team Composition on the Performance of Entrepreneurial Teams

2019 ◽  
pp. 654-680
Author(s):  
Serghei Musaji ◽  
Julio De Castro
Keyword(s):  
Future Research ◽  
Team Composition ◽  
Team Members ◽  
Team Diversity ◽  
Entrepreneurial Teams ◽  
Knowledge Based ◽  
Fertile Ground ◽  
Active Debate ◽  
And Performance ◽  
The Relationship

Despite the continuous interest in studying entrepreneurial teams, the relationship between team composition and, particularly, team diversity and performance remains fertile ground for active debate. Taking roots in the knowledge-based view and organizational learning literatures, this chapter argues that performance in entrepreneurial teams is contingent on (a) the overlap between team members’ knowledge/competences and the content of the performed tasks, (b) the duplication of the team members’ knowledge in the areas with that content, (c) the nature of tasks (exploration or exploitation), (d) the team’s flexibility to adapt to changes in the content and nature of those tasks, and (e) the rate of environmental change. Because an important source of ambiguity in the understanding of how team diversity and performance are linked ties to issues of how team diversity is conceptualized and operationalized, the chapter also proposes a new way of looking at diversity in future research.

scholarly journals Opportunities and Challenges of Green-Lean: An Integrated System for Sustainable Construction

2020 ◽  
Vol 12 (11) ◽  
pp. 4460 ◽  
Author(s):  
Mohammadsoroush Tafazzoli ◽  
Ehsan Mousavi ◽  
Sharareh Kermanshachi
Keyword(s):  
Cost Savings ◽  
Integrated Approach ◽  
Integrated System ◽  
Waste Minimization ◽  
Sustainable Construction ◽  
Future Research ◽  
Safety Improvement ◽  
The Individual ◽  
High Level ◽  
Industry Professionals

Although the two concepts of lean and sustainable construction have been developed due to different incentives, and they do not pursue the same exact goals, there exists considerable commonality between them. This paper discusses the potentials for integrating the two approaches and their practices and how the resulting synergy from combining the two methods can potentially lead to higher levels of fulfilling the individual goals of each of them. Some limitations and challenges to implementing the integrated approach are also discussed. Based on a comprehensive review of existing papers related to sustainable and lean construction topics, the commonality between the two approaches is discussed and grouped in five categories of (1) cost savings, (2) waste minimization, (3) Jobsite safety improvement, (4) reduced energy consumption, and (5) customers’ satisfaction improvement. The challenges of this integration are similarly identified and discussed in the four main categories of (1) additional initial costs to the project, (2) difficulty of providing specialized expertise, (3) contractors’ unwillingness to adopt the additional requirements, and (4) challenges to establish a high level of teamwork. Industry professionals were then interviewed to rank the elements in each of the two categories of opportunities and challenges. The results of the study highlight how future research can pursue the development of a new Green-Lean approach by investing in the communalities and meeting the challenges of this integration.

scholarly journals Developing a BIM-Based MUVR Treadmill System for Architectural Design Review and Collaboration

2021 ◽  
Vol 11 (15) ◽  
pp. 6881
Author(s):  
Calvin Chung Wai Keung ◽  
Jung In Kim ◽  
Qiao Min Ong
Keyword(s):  
Architectural Design ◽  
Human Locomotion ◽  
Virtual Space ◽  
Design Stage ◽  
Design Review ◽  
Team Members ◽  
Physical Constraints ◽  
Simulated Environment ◽  
Set Up ◽  
High Level

Virtual reality (VR) is quickly becoming the medium of choice for various architecture, engineering, and construction applications, such as design visualization, construction planning, and safety training. In particular, this technology offers an immersive experience to enhance the way architects review their design with team members. Traditionally, VR has used a desktop PC or workstation setup inside a room, yielding the risk of two users bump into each other while using multiuser VR (MUVR) applications. MUVR offers shared experiences that disrupt the conventional single-user VR setup, where multiple users can communicate and interact in the same virtual space, providing more realistic scenarios for architects in the design stage. However, this shared virtual environment introduces challenges regarding limited human locomotion and interactions, due to physical constraints of normal room spaces. This study thus presented a system framework that integrates MUVR applications into omnidirectional treadmills. The treadmills allow users an immersive walking experience in the simulated environment, without space constraints or hurt potentialities. A prototype was set up and tested in several scenarios by practitioners and students. The validated MUVR treadmill system aims to promote high-level immersion in architectural design review and collaboration.

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