scholarly journals Scoring from Contests

2014 ◽  
Vol 22 (1) ◽  
pp. 86-114 ◽  
Author(s):  
Keith E. Schnakenberg ◽  
Elizabeth Maggie Penn
Keyword(s):  
Paired Comparison ◽  
Network Data ◽  
Scoring Methods ◽  
Political Candidates ◽  
Choice Sets ◽  
Potential Difficulty ◽  
Interpersonal Comparability ◽  
Overall Performance ◽  
Feeling Thermometer ◽  
Choice Probabilities

This article presents a new model for scoring alternatives from “contest” outcomes. The model is a generalization of the method of paired comparison to accommodate comparisons between arbitrarily sized sets of alternatives in which outcomes are any division of a fixed prize. Our approach is also applicable to contests between varying quantities of alternatives. We prove that under a reasonable condition on the comparability of alternatives, there exists a unique collection of scores that produces accurate estimates of the overall performance of each alternative and satisfies a well-known axiom regarding choice probabilities. We apply the method to several problems in which varying choice sets and continuous outcomes may create problems for standard scoring methods. These problems include measuring centrality in network data and the scoring of political candidates via a “feeling thermometer.” In the latter case, we also use the method to uncover and solve a potential difficulty with common methods of rescaling thermometer data to account for issues of interpersonal comparability.

FINANCIAL EFFICIENCY OF TERTIARY EDUCATION INSTITUTIONS: A SECOND-STAGE DYNAMIC NETWORK DATA ENVELOPMENT ANALYSIS METHOD

2018 ◽  
pp. 1-22 ◽  
Author(s):  
CAROLYN-DUNG T. T. TRAN ◽  
RENATO A. VILLANO
Keyword(s):  
Data Envelopment Analysis ◽  
Public Universities ◽  
Tertiary Education ◽  
Dynamic Network ◽  
Network Data ◽  
Data Envelopment ◽  
Analysis Method ◽  
Financial Efficiency ◽  
Second Stage ◽  
Overall Performance

The overall performance of an organization depends on the operational efficiency of different divisions in a network structure. The organization is really efficient only if each division is operating efficiently. The linkage between divisions is inherently complex and needs to be perused to provide more appropriate solutions for further improvement. Using the advanced dynamic network data envelopment analysis method, this paper investigates divisional efficiency in relation to the overall performance of tertiary education institutions in a network structure. As an illustrative case, the performance of 82 Vietnamese public universities was analyzed for the period 2011–2013. The results indicate that the financial efficiency is 0.826, while the academic efficiency is 0.782. The overall dynamic network efficiency of public universities is 0.804 which strongly correlated with academic efficiency rather than financial efficiency. The second-stage fractional regression analysis is proposed to investigate the effects of contextual factors on the efficiency of the financial division. The findings reveal that enrolment growth, central management and location influence financial efficiency. These findings suggest that more consideration has to be given to government policies by removing enrolment quotas and complicated line management in the context of Vietnamese higher education.

The Importance of Utility Balance in Efficient Choice Designs

1996 ◽  
Vol 33 (3) ◽  
pp. 307-317 ◽  
Author(s):  
Joel Huber ◽  
Klaus Zwerina
Keyword(s):  
Parameter Estimates ◽  
Design Matrix ◽  
Error Level ◽  
Design Efficiency ◽  
Trade Off ◽  
Choice Sets ◽  
Balanced Designs ◽  
Attribute Levels ◽  
Specific Error ◽  
Choice Probabilities

Choice designs traditionally have been built under the assumption that all coefficients are zero. The authors show that if there are reasonable nonzero priors for expected coefficients, then these can be used to generate more statistically efficient choice designs, because the alternatives in their choice sets are balanced in utility—they have more similar choice probabilities. The authors demonstrate that the appropriate measure of choice design efficiency requires probability centering and weighting of the rows of the design matrix, and they illustrate how this criterion enables the analyst to appropriately trade off utility balance against three other principles: orthogonality, level balance, and minimal overlap. Two methods, swapping and relabeling attribute levels, provide complementary ways to increase the utility balance of choice designs. The authors apply a process for generating utility-balanced designs to five different choice designs and show that it reduces by 10–50% the number of respondents needed to achieve a specific error level around the parameters. A sensitivity analysis reveals that these gains are diminished, but still substantial, despite strong misspecifications of prior parameter estimates.

Electron sources: Past, present, and future

1993 ◽  
Vol 51 ◽  
pp. 764-765
Author(s):  
David C Joy
Keyword(s):  
Glass Tube ◽  
Source Size ◽  
Electron Gun ◽  
Operating Parameters ◽  
Operational Parameters ◽  
Electron Sources ◽  
Difficult Decision ◽  
Probe Size ◽  
Wide Range ◽  
Overall Performance

The electron source is the most important component of the Scanning electron microscope (SEM) since it is this which will determine the overall performance of the machine. The gun performance can be described in terms of quantities such as its brightness, its source size, its energy spread, and its stability and, depending on the chosen application, any of these factors may be the most significant one. The task of the electron gun in an SEM is, in fact, particularly difficult because of the very wide range of operational parameters that may be required e.g a variation in probe size of from a few angstroms to a few microns, and a probe current which may go from less than a pico-amp to more than a microamp. This wide range of operating parameters makes the choice of the optimum source for scanning microscopy a difficult decision.Historically, the first step up from the sealed glass tube ‘cathode ray generator’ was the simple, diode, tungsten thermionic emitter.

A Comparison of Four Adolescent Language Tests

1987 ◽  
Vol 18 (3) ◽  
pp. 250-266 ◽  
Author(s):  
R. Jane Lieberman ◽  
Ann Marie C. Heffron ◽  
Stephanie J. West ◽  
Edward C. Hutchinson ◽  
Thomas W. Swem
Keyword(s):  
Test Performance ◽  
Sixth Grade ◽  
Significant Discrepancy ◽  
Language Impaired ◽  
Language Functions ◽  
Language Tests ◽  
Significant Difference ◽  
Sixth Grade Students ◽  
Overall Performance ◽  
Selection Of

Four recently developed adolescent language tests, the Fullerton Test for Adolescents (FLTA), the Test of Adolescent Language (TOAL), the Clinical Evaluation of Language Functions (CELF), and the Screening Test of Adolescent Language (STAL), were compared to determine: (a) whether they measured the same language skills (content) in the same way (procedures); and (b) whether students performed similarly on each of the tests. First, respective manuals were reviewed to compare selection of subtest content areas and subtest procedures. Then, each of the tests was administered according to standardized procedures to 30 unselected sixth-grade students. Despite apparent differences in test content and procedures, there was no significant difference in students' performance on three of the four tests, and correlations among test performance were moderate to high. A comparison of the pass/fail rates for overall performance on the tests, however, revealed a significant discrepancy between the proportions of students identified in need of further evaluation on the STAL (20%) and the proportion diagnosed as language impaired on the three diagnostic tests (60-73%). Clinical implications are discussed.

The Relation Between Linguistic Awareness Skills and Spelling in Adults: A Comparison Among Scoring Procedures

2020 ◽  
Vol 63 (4) ◽  
pp. 1240-1253
Author(s):  
Victoria S. Henbest ◽  
Lisa Fitton ◽  
Krystal L. Werfel ◽  
Kenn Apel
Keyword(s):  
Phonemic Awareness ◽  
Concurrent Validity ◽  
Word Reading ◽  
Continuous Measure ◽  
Scoring Methods ◽  
Syntactic Awareness ◽  
Scoring Method ◽  
Spelling Performance ◽  
Linguistic Awareness ◽  
Average Readers

Purpose Spelling is a skill that relies on an individual's linguistic awareness, the ability to overtly manipulate language. The ability to accurately spell is important for academic and career success into adulthood. The spelling skills of adults have received some attention in the literature, but there is limited information regarding which approach for analyzing adults' spelling is optimal for guiding instruction or intervention for those who struggle. Thus, we aimed to examine the concurrent validity of four different scoring methods for measuring adults' spellings (a dichotomous scoring method and three continuous methods) and to determine whether adults' linguistic awareness skills differentially predict spelling outcomes based on the scoring method employed. Method Sixty undergraduate college students who were determined to be average readers as measured by a word reading and contextual word reading task were administered a spelling task as well as morphological, orthographic, phonemic, and syntactic awareness tasks. Results All four scoring methods were highly correlated suggesting high concurrent validity among the measures. Two linguistic awareness skills, morphological awareness and syntactic awareness, predicted spelling performance on both the dichotomous and continuous scoring methods. Contrastively, phonemic awareness and orthographic awareness predicted spelling performance only when spelling was scored using a continuous measure error analysis. Conclusions The results of this study confirm that multiple linguistic awareness skills are important for spelling in adults who are average readers. The results also highlight the need for using continuous measures of spelling when planning intervention or instruction, particularly in the areas of orthographic and phonemic awareness.

Clinical Update: Functional Capacity Evaluations—An Update

1999 ◽  
Vol 4 (5) ◽  
pp. 4-7 ◽  
Author(s):  
Laura Welch
Keyword(s):  
Job Performance ◽  
Functional Capacity ◽  
Injury Risk ◽  
Disability Evaluation ◽  
Time Period ◽  
Submaximal Effort ◽  
Lack Of Sleep ◽  
Overall Performance ◽  
Time Required ◽  
Specific Limitation

Abstract Functional capacity evaluations (FCEs) have become an important component of disability evaluation during the past 10 years to assess an individual's ability to perform the essential or specific functions of a job, both preplacement and during rehabilitation. Evaluating both job performance and physical ability is a complex assessment, and some practitioners are not yet certain that an FCE can achieve these goals. An FCE is useful only if it predicts job performance, and factors that should be assessed include overall performance; consistency of performance across similar areas of the FCE; consistency between observed behaviors during the FCE and limitations or abilities reported by the worker; objective changes (eg, blood pressure and pulse) that are appropriate relative to performance; external factors (illness, lack of sleep, or medication); and a coefficient of variation that can be measured and assessed. FCEs can identify specific movement patterns or weaknesses; measure improvement during rehabilitation; identify a specific limitation that is amenable to accommodation; and identify a worker who appears to be providing a submaximal effort. FCEs are less reliable at predicting injury risk; they cannot tell us much about endurance over a time period longer than the time required for the FCE; and the FCE may measure simple muscular functions when the job requires more complex ones.

Abstract #1249: Novel Use of Physician Social Network Data to Map the Gap in the Endocrinology Workforce

2015 ◽  
Vol 21 ◽  
pp. 301
Author(s):  
Armand Krikorian ◽  
Lily Peng ◽  
Zubair Ilyas ◽  
Joumana Chaiban
Keyword(s):  
Social Network ◽  
Network Data ◽  
Social Network Data

Does It Matter How I Say It?

2015 ◽  
Vol 14 (2) ◽  
pp. 104-108 ◽  
Author(s):  
Dan S. Chiaburu ◽  
Ann Chunyan Peng ◽  
Linn Van Dyne
Keyword(s):  
Perspective Taking ◽  
Joint Effect ◽  
Overall Performance ◽  
Low Levels

We conducted an experiment to examine the effect of how subordinates present ideas (constructive vs. complaining form) on supervisor (receiver) responses (perceptions of subordinate intrusiveness and of overall performance). We demonstrated a joint effect of subordinate idea presentation (manipulated) and supervisor dogmatism (measured) such that supervisors with high levels of dogmatism rated subordinates who presented voice constructively as more intrusive and lower in performance than those with low dogmatism. Supervisor perspective taking mediated these relationships. Our findings highlight the importance of presenting ideas in a constructive form to receivers with low levels of dogmatism.

The Multilevel p2 Model

Methodology ◽  
2006 ◽  
Vol 2 (1) ◽  
pp. 42-47 ◽  
Author(s):  
Bonne J. H. Zijlstra ◽  
Marijtje A. J. van Duijn ◽  
Tom A. B. Snijders
Keyword(s):  
Social Network ◽  
Network Data ◽  
Mcmc Algorithm ◽  
Independent Observation ◽  
Single Observation ◽  
Multiple Networks ◽  
Social Network Data ◽  
Multiple Observations ◽  
Practical Support ◽  
The Social

The p 2 model is a random effects model with covariates for the analysis of binary directed social network data coming from a single observation of a social network. Here, a multilevel variant of the p 2 model is proposed for the case of multiple observations of social networks, for example, in a sample of schools. The multilevel p 2 model defines an identical p 2 model for each independent observation of the social network, where parameters are allowed to vary across the multiple networks. The multilevel p 2 model is estimated with a Bayesian Markov Chain Monte Carlo (MCMC) algorithm that was implemented in free software for the statistical analysis of complete social network data, called StOCNET. The new model is illustrated with a study on the received practical support by Dutch high school pupils of different ethnic backgrounds.

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