Improved Questionnaire Data Handling and Automated Analysis Capabilities for the MV-22 Operational Evaluation

摘要

This thesis investigates the method by which the V-22 Multiservice Operational Test Team (MOTT) collects and analyzes subjective operational test data, and suggests improvements to the tools currently in use. The MOTT uses a Microsoft Access custom application to generate and administer questionnaires and report summary results of the data collected. Using Visual Basic for Applications to implement Automation techniques, specific program improvements are created and implemented that use basic summary statistics to assist in handling the problems of excessive questionnaire lengths and user friendly summary report generation. A trend analysis is conducted on data from a previous operational assessment in terms of MOTT pilot demographics to highlight any response biases exhibited by subsets of participants. Analysis techniques are demonstrated and specific findings are discussed in terms of potential to affect future test results. In addition, cluster analysis is used to investigate an improved structure for the generic maintenance questionnaire used in a previous operational assessment. Suggestions are put forth for aggregating questions and creating a more efficient maintenance questionnaire.