Please use this identifier to cite or link to this item: https://dair.nps.edu/handle/123456789/1555
Title: An Empirical Study on Content Analysis Use in Test and Evaluation Deficiency Report Analysis
Authors: Karen Holness
Rabia H. Khan
Gary Parker
Keywords: Empirical Study
Content Analysis
Test and Evaluation
Report Analysis
Issue Date: 30-Apr-2018
Publisher: Acquisition Research Program
Citation: Published--Unlimited Distribution
Series/Report no.: Test and Evaluation
SYM-AM-18-044
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.
Description: Acquisition Management / Defense Acquisition Community Contributor
URI: https://dair.nps.edu/handle/123456789/1555
Appears in Collections:Annual Acquisition Research Symposium Proceedings & Presentations

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