Using a Predictive Rating System for Computer Programmers to Optimise Recruitment

2017 ◽  
Vol 19 (3) ◽  
pp. 1-14
Author(s):  
Paul J. Bracewell ◽  
Ankit K. Patel ◽  
Evan J. Blackie ◽  
Chris Boys
Keyword(s):  
Performance Metrics ◽  
Strong Relationship ◽  
Individual Performance ◽  
Assessment System ◽  
Rating System ◽  
Performance Score ◽  
Job Advertisement ◽  
Successful Recruitment ◽  
Linear Optimisation ◽  
Measure Of Performance

Using a quantitative assessment system, the number of resumes reviewed to identify a suitable developer was reduced to 3.5% with a successful recruitment decision made in 10 working days of posting the job advertisement. This paper summarises the methodology for developing that rating system. The depth and quality of an available talent pool is a function of demand, which is demonstrated by comparing globally-scaled individual performance metrics. Public code repositories are accessed and the code quality assessed algorithmically. The performance score combines accuracy, timeliness and difficulty from a series of challenges. These three attributes form a meaningful predictive measure of performance by using a non-linear optimisation routine. Bootstrapping is used to validate the approach. This process randomly omitted a scored performance observation per coder in order to calculate the performance score from the retained scores. There was a strong relationship (r = 0.70) between the predicted 1-omitted-performance score with the actual omitted score highlighting the predictive power.

Using a Predictive Rating System for Computer Programmers to Optimise Recruitment

2019 ◽  
pp. 397-412
Author(s):  
Paul J. Bracewell ◽  
Ankit K. Patel ◽  
Evan J. Blackie ◽  
Chris Boys
Keyword(s):  
Performance Metrics ◽  
Strong Relationship ◽  
Assessment System ◽  
Rating System ◽  
Performance Score ◽  
Job Advertisement ◽  
Successful Recruitment ◽  
Linear Optimisation ◽  
Measure Of Performance ◽  
Code Quality

Using a quantitative assessment system, the number of resumes reviewed to identify a suitable developer was reduced to 3.5% with a successful recruitment decision made in 10 working days of posting the job advertisement. This paper summarises the methodology for developing that rating system. The depth and quality of an available talent pool is a function of demand, which is demonstrated by comparing globally-scaled individual performance metrics. Public code repositories are accessed and the code quality assessed algorithmically. The performance score combines accuracy, timeliness and difficulty from a series of challenges. These three attributes form a meaningful predictive measure of performance by using a non-linear optimisation routine. Bootstrapping is used to validate the approach. This process randomly omitted a scored performance observation per coder in order to calculate the performance score from the retained scores. There was a strong relationship (r = 0.70) between the predicted 1-omitted-performance score with the actual omitted score highlighting the predictive power.

Reliability and Concurrent Validity of Shoulder Tissue Irritability Classification

2021 ◽  
Author(s):  
Stephen M Kareha ◽  
Philip W McClure ◽  
Alicia Fernandez-Fernandez
Keyword(s):  
Clinical Practice ◽  
Clinical Practice Guidelines ◽  
Practice Guidelines ◽  
Repeated Measures ◽  
Concurrent Validity ◽  
Reliability And Validity ◽  
Strong Relationship ◽  
Rating System ◽  
Roc Curve Analysis ◽  
Cross Sectional

Abstract Objective Rating tissue irritability has been recommended to aid decision making in several recent clinical practice guidelines. An explicit method for rating tissue irritability was proposed as part of the Staged Algorithm for Rehabilitation Classification: Shoulder Disorders (STAR-Shoulder), but the reliability and validity of this classification are unknown. The purpose of this study was to examine the reliability and concurrent validity of shoulder tissue irritability ratings as part of a system designed to guide appropriate treatment strategy and intensity. Methods A clinical measurement, prospective repeated-measures cross-sectional design was used. The 101 consecutive participants with primary complaints of shoulder pain were assessed by pairs of blinded raters (24 raters in total) and rated for tissue irritability. Patients completed 3 patient-rated outcome (PRO) measures reflecting both pain and disability, and these scores were compared with ratings of tissue irritability. Paired ratings of irritability were analyzed for reliability with prevalence-adjusted, bias-adjusted Kappa for ordinal scales (PABAK-OS). Analysis of variance (ANOVA) was used to compare PRO measures across different levels of irritability. Receiver operating characteristic (ROC) curve analysis was utilized to derive cut-off scores for 3 PRO instruments. Results Interrater reliability was 0.69 (95% CI = 0.59–0.78), with 67% agreement. All PRO measures were significantly different among 3 levels of tissue irritability. Conclusion There appear to be acceptable reliability and a strong relationship between PRO measures and therapist-rated tissue irritability, supporting the use of the STAR-Shoulder irritability rating system. Impact Several clinical practice guidelines have recommended that clinicians rate tissue irritability as part of their examination. This study provides important new information supporting the reliability and validity of the STAR-Shoulder tissue irritability rating system.

Abstract 86: Association Between Hospital Postresuscitative Performance and Clinical Outcomes in Patients with Out-of-Hospital Cardiac Arrest

Circulation ◽  
2014 ◽  
Vol 130 (suppl_2) ◽  
Author(s):  
Dion Stub ◽  
Robert H Schmicker ◽  
Monique L Anderson ◽  
Eric D Peterson ◽  
Clifton W Callaway ◽  
...  
Keyword(s):  
Cardiac Arrest ◽  
Functional Status ◽  
Performance Metrics ◽  
Treatment Guidelines ◽  
Hospital Performance ◽  
Temperature Management ◽  
Performance Score ◽  
Resuscitation Guidelines ◽  
Care Guidelines ◽  
Hospital Cardiac Arrest

Context: Whilst performance measures have been extensively evaluated in conditions such as myocardial infarction, it remains unclear if adherence to post-resuscitation guidelines is associated with better outcome in patients hospitalized after out-of-hospital cardiac arrest (OHCA). Objectives: To assess whether survival and good functional status at discharge are associated with post-resuscitation performance score based on treatment guidelines for patients with OHCA, comprised of a) initiation of temperature management; b) target temperature 32 0 -34 0 C achieved; c) temperature management continued for more than 12 hours; d) coronary angiography performed within 24 hrs; e) life sustaining treatment not withdrawn prior to day 3. Methods: An observational analysis of hospital care in 111 North American hospitals, including 3252 patients enrolled in the Resuscitation Outcomes Consortium (ROC-PRIMED) study, between 2007 and 2009, following OHCA. Performance scores were calculated, utilizing opportunity based scoring, with each factor weighted equally and scaled from 0-1. Scores for individual patients were grouped at the hospital level, with hospitals divided for descriptive purposes into quartiles based on their median opportunity composite score. Results: Performance score varied widely (median [IQR] scores from lowest to highest hospital quartiles, 21% [20%-25%] vs 59% [55%-64%]. Adjusted survival to discharge increased with each quartile of performance score (lowest to highest: 16.2%, 20.8%, 28.5%, 34.8%, P <0.01). Similarly adjusted rates of good functional outcome improved (lowest quartile to highest: 8.3%, 13.8%, 22.2%, 25.9%, P<0.01). Hospital performance score were significantly associated with outcome after risk adjustment for established prehospital resuscitative factors (Highest versus lowest adherence quartile: adjusted OR of survival 1.64; 95% CI 1.13, 2.38) Conclusions: Increased survival and improved functional status at discharge are associated with greater adherence to recommended hospital based post-resuscitative care guidelines. Measuring, reporting and improving hospital adherence to guideline-based performance metrics could improve outcomes following OHCA.

scholarly journals Implementation Of Information Systems On E-commerce Websites As Media To Deliver Information

2019 ◽  
Vol 1 (2) ◽  
pp. 127-133
Author(s):  
Alwiyah Alwiyah ◽  
Chloe Greisy ◽  
Afni Afitri
Keyword(s):  
Web Applications ◽  
Assessment System ◽  
Rating System ◽  
Considerable Time ◽  
Student Attendance ◽  
Present Information ◽  
Registration Number ◽  
Time Information ◽  
Very High

Attendance information conducted by students can now be easily accessed by a supervisor. However, there are 3 (three) difficulties faced by supervisors, one of which is presenting information with tables requiring considerable time and very high accuracy to measure the comparison of information contained within it. In order to facilitate the supervisor in recording and measuring attendance of student tutoring students handled, the Attendance Rating system will present information in the form of graphics using Highchart. Presentation of information in the form of a graph on Attendance Assessment will present information in the form of Nim (Student Registration Number), supervisor, and guidance time. Information on the guidance time in the graph can be used as a comparison to measure the level of student activity in following the guidance. The Attendance Rating System uses the YII Frameworkbased website because it is also easy to develop web applications and the YII Framework has a good level of security. In this study, there are 5 (five) advantages and 1 (one) deficiency in the Attendance Assessment system. With this research, it is expected that the Attendance Assessment system can improve the quality of student attendance in the tutoring process at Raharja College.

scholarly journals The Rating Game: The Discipline of Uber’s User-Generated Ratings

2019 ◽  
Vol 17 (1/2) ◽  
pp. 183-190
Author(s):  
Ngai Keung Chan
Keyword(s):  
Performance Metrics ◽  
Rating System ◽  
Work Practices ◽  
Rating Systems ◽  
Labor Management ◽  
Disciplinary Power ◽  
On Demand ◽  
Depth Interviews

On-demand labor platforms are built around user-generated rating systems that entail consumers’ monitoring of workers as a tool for algorithmic labor management. The user-generated ratings can directly determine workers’ employability. Workers are thus under pressure to score well, though they may lack knowledge about the performance metrics. Using in-depth interviews with Uber drivers, this article examines how Uber’s rating system as an engine of anxiety shapes drivers’ work practices through processes of surveillance and normalization. Specifically, drivers are prompted to play the rating game, a game that pressures them toward the normalization of platform surveillance and self-discipline for maximizing their ratings. The internalization of ratings is channeled through drivers’ reactive practices in the rating game—that is, drivers’ modification of their behavior in response to being evaluated and monitored. This article considers the socio-technical conditions under which drivers are subject to the platform surveillance and disciplinary power.

scholarly journals Getting off the impact factor: an antidote

2016 ◽  
Author(s):  
Aleksey V Belikov
Keyword(s):  
Impact Factor ◽  
Performance Metrics ◽  
Median Number ◽  
Individual Performance ◽  
Early Career ◽  
Age Bias ◽  
Simple Method ◽  
Scientific Merit ◽  
Number Of Citations ◽  
The Impact

Articles published in high Impact factor (IF) journals receive higher visibility and attached prestige, regardless of their actual scientific merit. This results in unfair gain in subsequent number of citations to these articles, which also further increases the journals’ IFs. While there is a gradual move in assessment of researchers from IFs towards individual performance metrics, such as the h-index, those metrics are calculated on the basis of citation counts, and hence are still affected by the described phenomena. Naturally, this leads to increased submission and rejection rates in high IF journals, considerably delaying publication of manuscripts and wasting researchers’ time. Additionally, an article’s visibility increases with time, as it accumulates citations, thus severely disadvantaging new articles and early-career researchers. Here I propose a simple method for evaluation of individual articles and researchers that compensates for the effects of the journal IF and article age. In essence, the number of citations to an article is divided by the median number of citations to the articles published in the same journal in the same year. This ratio indicates the performance of an article relative to its closest competitors, is free from journal and age bias, and thus reflects an article’s scientific merit. An author’s (or institution’s) index is calculated as the sum of these article scores. Widespread adoption of this index, especially by decision-making authorities, will refocus scientists from besieging elitist journals to actually doing research.

scholarly journals A Comprehensive Survey of Statistical Approaches for Differential Expression Analysis in Single-Cell RNA Sequencing Studies

Genes ◽  
2021 ◽  
Vol 12 (12) ◽  
pp. 1947
Author(s):  
Samarendra Das ◽  
Anil Rai ◽  
Michael L. Merchant ◽  
Matthew C. Cave ◽  
Shesh N. Rai
Keyword(s):  
Single Cell ◽  
Differential Expression ◽  
Rna Sequencing ◽  
High Throughput Sequencing ◽  
Performance Metrics ◽  
Differential Expression Analysis ◽  
Individual Performance ◽  
Rna Seq ◽  
Gene Expressions ◽  
Single Cell Rna Sequencing

Single-cell RNA-sequencing (scRNA-seq) is a recent high-throughput sequencing technique for studying gene expressions at the cell level. Differential Expression (DE) analysis is a major downstream analysis of scRNA-seq data. DE analysis the in presence of noises from different sources remains a key challenge in scRNA-seq. Earlier practices for addressing this involved borrowing methods from bulk RNA-seq, which are based on non-zero differences in average expressions of genes across cell populations. Later, several methods specifically designed for scRNA-seq were developed. To provide guidance on choosing an appropriate tool or developing a new one, it is necessary to comprehensively study the performance of DE analysis methods. Here, we provide a review and classification of different DE approaches adapted from bulk RNA-seq practice as well as those specifically designed for scRNA-seq. We also evaluate the performance of 19 widely used methods in terms of 13 performance metrics on 11 real scRNA-seq datasets. Our findings suggest that some bulk RNA-seq methods are quite competitive with the single-cell methods and their performance depends on the underlying models, DE test statistic(s), and data characteristics. Further, it is difficult to obtain the method which will be best-performing globally through individual performance criterion. However, the multi-criteria and combined-data analysis indicates that DECENT and EBSeq are the best options for DE analysis. The results also reveal the similarities among the tested methods in terms of detecting common DE genes. Our evaluation provides proper guidelines for selecting the proper tool which performs best under particular experimental settings in the context of the scRNA-seq.

Assessing Algorithmic Performance by Frontier Analysis

2018 ◽  
Vol 9 (1) ◽  
pp. 78-94
Author(s):  
Jose Humberto Ablanedo-Rosas ◽  
Cesar Rego
Keyword(s):  
Performance Metrics ◽  
Heuristic Algorithms ◽  
Analysis Of Algorithms ◽  
Statistical Significance ◽  
Individual Performance ◽  
Set Covering ◽  
Covering Problem ◽  
Frontier Analysis ◽  
Surrogate Constraint ◽  
Significance Levels

In Combinatorial Optimization the evaluation of heuristic algorithms often requires the consideration of multiple performance metrics that are relevant for the application of interest. Traditional empirical analysis of algorithms relies on evaluating individual performance metrics where the overall assessment is conducted by subjective judgment without the support of rigorous scientific methods. The authors propose an analytical approach based on data envelopment analysis (DEA) to rank algorithms by their relative efficiency scores that result from combining multiple performance metrics. To evaluate their approach, they perform a pilot study examining the relative performance of ten surrogate constraint algorithms for different classes of the set covering problem. The analysis shows their DEA-based approach is highly effective, establishing a clear difference between the algorithms' performances at appropriate statistical significance levels, and in consequence providing useful insights into the selection of algorithms to address each class of instances. Their approach is general and can be used with all types of performance metrics and algorithms.

Evaluation of Leed “Innovation in Design Process” and “Location & Linkages” Case Study: Diyarbakir Turkey

2015 ◽  
Vol 40 (3) ◽  
pp. 84-93
Author(s):  
Gökçe Tuna Taygun ◽  
Polat Darçın ◽  
S. Müjdem Vural
Keyword(s):  
Waste Management ◽  
Design Process ◽  
Energy Efficient ◽  
Social Needs ◽  
Assessment System ◽  
Rating System ◽  
Design Criteria ◽  
Building Assessment ◽  
The U.S

The paper focuses on the LEED rating system of Diyarbakır Houses to an assessment with respect to “Innovation in Design Process and Location & Linkages”, assuming to conduct a trial of the building assessment and certification systems, which were highly popular in Europe and in the U.S. in the 1990s and in Turkey in the 2000s, on the “traditional building”. The aim of the paper is to bring a criticism of and suggestions to the LEED credits in connection with environmentalist design criteria, and to be able to determine that these credits, which are limited in the first place, may already be part of the design of traditional buildings in Turkey. Three different typological houses of Diyarbakır were selected for the research and detail evaluated with the scope of LEED for Homes credits. Using this assessment system, old Diyarbakır houses known to involve many successful solutions in terms of factors related to the environment and the user were assessed. The assessment revealed the fact that these houses, which are in harmony with the environment, are energy-efficient, use water and resources optimally, are successful in waste management, meet their users’ biological, psychological and social needs and do not cause health problems for their users’ and the environment scored low in LEED.

Do Owners and Managers Really Differ?

2015 ◽  
Vol 16 (3) ◽  
pp. 171-181 ◽  
Author(s):  
Melanie P. Lorenz ◽  
John E. Gamble ◽  
David L. Turnipseed ◽  
K. Mark Weaver
Keyword(s):  
Financial Performance ◽  
Risk Taking ◽  
Entrepreneurial Orientation ◽  
Performance Metrics ◽  
Strong Relationship ◽  
Short Term ◽  
Intangible Resources ◽  
Study Results ◽  
Determinants Of Satisfaction ◽  
Term Performance

This study examines the determinants of satisfaction with overall firm performance by owner- and non-owner-managers of SMEs. It is expected that owners of SMEs will develop contracts for non-owner-managers or monitoring practices that align the interests of agents and principals. As a result of interest alignment, the relationships between entrepreneurial orientation, views on intangible resources, focus on performance metrics and satisfaction with overall financial performance should be similar for owner- and non-owner-managers of SMEs. The study results show differences in risk-taking behaviour and views of resource development between owner-managers and non-owner-managers. However, a strong relationship between short-term performance and overall satisfaction with financial performance existed in the sample of both owner-managers and non-owner-managers.

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