An Empirical Study on Content Analysis Use in Test and Evaluation Deficiency Report Analysis

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Authors
Holness, Karen
Khan, Rabia H.
Parker, Gary
Subjects
Advisors
Date of Issue
2018-04-30
Date
04/30/18
Publisher
Monterey, California. Naval Postgraduate School
Language
Abstract
This research investigated strategies and heuristics used to prioritize system deficiencies identified during test and evaluation. Five participants were recruited to participate in this laboratory study and were assigned to an experiment condition either with or without content analysis training. Content analysis is a well-known methodology for identifying patterns and themes in qualitative datasets. In either experiment condition, subjects were asked to (1) classify a set of flight simulator deficiencies, (2) develop a deficiency resolution priority order using those classifications, and (3) complete a set of questionnaires regarding the completion of these tasks and demographic information. Across the five subjects, there was fairly high variability in the strategies and methods used. Therefore, the impact of the content analysis training was inconclusive. However, the variety of observed approaches warrants future research, specifically into the use of multiple categorization schemes when deciding upon a deficiency resolution priority order.
Type
Report
Description
Department
Organization
Naval Postgraduate School (U.S.)
Identifiers
NPS Report Number
SYM-AM-18-044
Sponsors
Naval Postgraduate School Acquisition Research Program
Funder
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Citation
Distribution Statement
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
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