Methods of Test Validation

2017 ◽  
pp. 193-209
Author(s):  
Xiaoming Xi ◽  
Yasuyo Sawaki
Keyword(s):  
Test Validation

Test Validation Without Measurement

2016 ◽  
Vol 32 (3) ◽  
pp. 204-214 ◽  
Author(s):  
Emilie Lacot ◽  
Mohammad H. Afzali ◽  
Stéphane Vautier
Keyword(s):  
Test Data ◽  
Test Scores ◽  
Scientific Explanation ◽  
Test Validation ◽  
Clinical Tests ◽  
Ethical Perspective ◽  
Power Of Test ◽  
Memory Accuracy ◽  
Social Uses ◽  
Special Case

Abstract. Test validation based on usual statistical analyses is paradoxical, as, from a falsificationist perspective, they do not test that test data are ordinal measurements, and, from the ethical perspective, they do not justify the use of test scores. This paper (i) proposes some basic definitions, where measurement is a special case of scientific explanation; starting from the examples of memory accuracy and suicidality as scored by two widely used clinical tests/questionnaires. Moreover, it shows (ii) how to elicit the logic of the observable test events underlying the test scores, and (iii) how the measurability of the target theoretical quantities – memory accuracy and suicidality – can and should be tested at the respondent scale as opposed to the scale of aggregates of respondents. (iv) Criterion-related validity is revisited to stress that invoking the explanative power of test data should draw attention on counterexamples instead of statistical summarization. (v) Finally, it is argued that the justification of the use of test scores in specific settings should be part of the test validation task, because, as tests specialists, psychologists are responsible for proposing their tests for social uses.

Data Fusion Analysis For Test Validation System

2009 ◽  
Author(s):  
Mark H. Hammond ◽  
Christian Minor ◽  
Susan Rose-Pehrsson
Keyword(s):  
Data Fusion ◽  
Test Validation ◽  
Fusion Analysis

scholarly journals Ball‐on‐ring Test Validation for Equibiaxial Flexural Strength Testing of Engineered Ceramics

2021 ◽  
Author(s):  
Adrianna E. Lupercio ◽  
Ehsan Moshkelgosha ◽  
Riley C. Winters ◽  
Cayden Doyle ◽  
Mahmood Mamivand ◽  
...  
Keyword(s):  
Flexural Strength ◽  
Test Validation ◽  
Ring Test ◽  
Strength Testing

Field test validation of the degadis model

1987 ◽  
Vol 16 ◽  
pp. 231-245 ◽  
Author(s):  
T.O. Spicer ◽  
J.A. Havens
Keyword(s):  
Field Test ◽  
Test Validation

Design and Realization of 35kV Phase Controlled Circuit Breaker and its Electromagnetic Force Driving Actuator

2013 ◽  
Vol 380-384 ◽  
pp. 3213-3216
Author(s):  
Hai Yan Wang ◽  
Duan Lei Yuan ◽  
Chen Xu Niu ◽  
Hua Jun Dong
Keyword(s):  
High Voltage ◽  
Simulation Analysis ◽  
Random Phase ◽  
Circuit Breaker ◽  
Transient Simulation ◽  
Test Validation ◽  
Load Force ◽  
Magnetic Actuator ◽  
Phase Selection ◽  
High Voltage Circuit Breaker

In this paper, mainly for the problem that high voltage circuit breaker closing at the random phase can bring hard harmfulness to the power system. We design the 35kV SF6-Phase Control circuit breaker can control speed smartly, and opens or closes with phase selection, which is equipped with the magnetic actuator. In the article, the static and transient simulation analysis which includes the load force, and carried out prototype trial and test validation. At last, the results of simulation and test is given.

Full Scale Test Validation of Fatigue Crack Growth Rate of Flaws in Erw Pipe

2021 ◽  
Author(s):  
Aaron Dinovitzer ◽  
Sanjay Tiku ◽  
Morvarid Ghovanlou ◽  
Mark Piazza ◽  
Thomas Jones
Keyword(s):  
Growth Rate ◽  
Fatigue Crack ◽  
Crack Growth Rate ◽  
Fatigue Crack Growth ◽  
Crack Growth ◽  
Fatigue Crack Growth Rate ◽  
Full Scale ◽  
Test Validation ◽  
Full Scale Test ◽  
Scale Test

Connecting Data, Model and Process to Streamline and Enhance Single-Point Production Well Test Validation

2021 ◽  
Author(s):  
Mohamad Mustaqim Mokhlis ◽  
Nurdini Alya Hazali ◽  
Muhammad Firdaus Hassan ◽  
Mohd Hafiz Hashim ◽  
Afzan Nizam Jamaludin ◽  
...  
Keyword(s):  
Test Data ◽  
Single Point ◽  
Database Systems ◽  
Test Validation ◽  
Well Test ◽  
Production Well ◽  
Well Test Analysis ◽  
Test Analysis ◽  
Digital Ecosystem ◽  
Well Model

Abstract In this paper we will present a process streamlined for well-test validation that involves data integration between different database systems, incorporated with well models, and how the process can leverage real-time data to present a full scope of well-test analysis to enhance the capability for assessing well-test performance. The workflow process demonstrates an intuitive and effective way for analyzing and validating a production well test via an interactive digital visualization. This approach has elevated the quality and integrity of the well-test data, as well as improved the process cycle efficiency that complements the field surveillance engineers to keep track of well-test compliance guidelines through efficient well-test tracking in the digital interface. The workflow process involves five primary steps, which all are conducted via a digital platform: Well Test Compliance: Planning and executing the well test Data management and integration Well Test Analysis and Validation: Verification of the well test through historical trending, stability period checks, and well model analysis Model validation: Correcting the well test and calibrating the well model before finalizing the validity of the well test Well Test Re-testing: Submitting the rejected well test for retesting and final step Integrating with corporate database system for production allocation This business process brings improvement to the quality of the well test, which subsequently lifts the petroleum engineers’ confidence level to analyze well performance and deliver accurate well-production forecasting. A well-test validation workflow in a digital ecosystem helps to streamline the flow of data and system integration, as well as the way engineers assess and validate well-test data, which results in minimizing errors and increases overall work efficiency.

Vitamin A relative dose response test: validation by intravenous injection in children with liver disease

1987 ◽  
Vol 46 (2) ◽  
pp. 286-289 ◽  
Author(s):  
O Amedee-Manesme ◽  
M S Mourey ◽  
A Hanck ◽  
J Therasse
Keyword(s):  
Liver Disease ◽  
Vitamin A ◽  
Intravenous Injection ◽  
Dose Response ◽  
Test Validation ◽  
Response Test
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