Selection of performance evaluation tests for environmental research.

1981 ◽  
Author(s):  
Robert C. Carter ◽  
Robert S. Kennedy ◽  
Alvah C. Bittner
1980 ◽  
Vol 24 (1) ◽  
pp. 320-324 ◽  
Author(s):  
Robert C. Carter ◽  
Robert S. Kennedy ◽  
Alvah C. Bittner

A battery of Performance Evaluation Tests for Environmental Research (PETER) that is suitable for use in repeated measures experiments is being developed at the Naval Biodynamics Laboratory. This paper describes the sources of tasks which have been considered for inclusion in PETER. It also lists the tests in the source batteries which have or have not yet been considered for inclusion in PETER. The performance content of the tests that have been considered is compared with the content of those that have not. Recommendations are made for selection of additional tests from the source batteries which will not be redundant with tests that already have been considered. This report puts PETER into the context of the tests and test batteries which came before it.


1981 ◽  
Author(s):  
Ross L. Pepper ◽  
Robert S. Kennedy ◽  
Alvah C. Bittner ◽  
Steven F. Wiker

1986 ◽  
Vol 63 (2) ◽  
pp. 683-708 ◽  
Author(s):  
Alvah C. Bittner ◽  
Robert C. Carter ◽  
Robert S. Kennedy ◽  
Mary M. Harbeson ◽  
Michele Krause

The goal of the Performance Evaluation Tests for Environmental Research (PETER) Program was to identify a set of measures of human capabilities for use in the study of environmental and other time-course effects. 114 measures studied in the PETER Program were evaluated and categorized into four groups based upon task stability and task definition. The Recommended category contained 30 measures that clearly obtained total stabilization and had an acceptable level of reliability efficiency. The Acceptable-But-Redundant category contained 15 measures. The 37 measures in the Marginal category, which included an inordinate number of slope and other derived measures, usually had desirable features which were outweighed by faults. The 32 measures in the Unacceptable category had either differential instability or weak reliability efficiency. It is our opinion that the 30 measures in the Recommended category should be given first consideration for environmental research applications. Further, it is recommended that information pertaining to preexperimental practice requirements and stabilized reliabilities should be utilized in repeated-measures environmental studies.


2013 ◽  
Vol 7 (1) ◽  
Author(s):  
Kateřina Pikousová ◽  
Petr Průša

The evaluation and selection of suppliers are important tasks in any organisation. Each organisation needs to have a supplier evaluation matrix or model in place. The goal of this article is not only to give an overview of supplier performance evaluation techniques but also to present an example of such a supplier evaluation matrix used in practice. The article shows that suppliers’ qualities, strategies and abilities affect a buying company’s business. Reliable suppliers can help to develop stabile, long-term relationships that will be beneficial to both parties. Effective sourcing and purchasing require high-quality suppliers.


1980 ◽  
Vol 51 (3_suppl2) ◽  
pp. 1023-1031 ◽  
Author(s):  
D. M. Seales ◽  
R. S. Kennedy ◽  
A. C. Bittner

A paper-and-pencil test of simple arithmetic ability was exceptionally well suited for inclusion in a battery of Performance Evaluation Tests for Environmental Research (PETER). Mean performance stabilized after nine days of baseline testing. Variance was constant throughout 15 days of baseline testing. “Task definition” was high, and “differential stability” was present from the outset. Subjects apparently came to this test with well established differential levels of arithmetic ability.


1983 ◽  
Vol 57 (1) ◽  
pp. 283-293 ◽  
Author(s):  
M. M. Harbeson ◽  
A. C. Bittner ◽  
R. S. Kennedy ◽  
R. C. Carter ◽  
M. Krause

Listed are 90 reports of the Performance Evaluation Tests for Environmental Research (PETER) Program. Conducted from 1977 to 1982, the programs' purpose was to develop a test battery for use in repeated measures investigations of environmental effects on human performance, e.g., vehicle motion, toxic substances, aging, etc. The battery also has applications to training, selection, and research on equipment design. The PETER Program concentrated on selecting tests which remained stable with repeated measurements, as environmental research usually involves testing before, during, and after exposure. Stability of the means, variances, and intertrial correlations ensures that simple analyses may be applied with minimal complications and without difficulties of attribution of effect. Over 80 measures were evaluated, 30% were found suitable for repeated measures applications, 20% were acceptable for limited use, and 50% could not be recommended. The unsuitability of many tasks brings into question the validity of portions of the literature on environmental effects. The reports describe program rationale, development of statistical methodology, and stable tasks. PETER reports are available from published sources, authors, or the Naval Biodynamics Laboratory.


2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Daiyu Zhang ◽  
Baowei Song ◽  
Peng Wang ◽  
Yanru He

Though quite a number of multidisciplinary design optimization (MDO) architectures have been proposed for the optimal design of large-scale multidisciplinary systems, how their performance changes with the complexity of MDO problem varied is not well studied. In order to solve this problem, this paper presents a variable complexity problem which allows people to obtain a MDO problem with arbitrary complexity by specifying its changeable parameters, such as the number of disciplines and the numbers of design variables. Then four investigations are performed to evaluate how the performance of different MDO architectures changes with the number of disciplines, global variables, local variables, and coupling variables varied, respectively. Finally, the results supply guidance for the selection of MDO architectures in solving practical engineering problems with different complexity.


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