Accession Number : ADA215373
Title : The Quality Quotient: A Tool for Measuring Organizational Quality Performance.
Descriptive Note : Master's thesis,
Corporate Author : AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH SCHOOL OF SYSTEMS AND LOGISTIC S
Personal Author(s) : Hayman, Edward J ; Schneider, Ruth E
PDF Url : ADA215373
Report Date : Sep 1989
Pagination or Media Count : 183
Abstract : This research studied the relationship between hypothesized predictors of quality performance and a readily available performance indicator, the Oregon Productivity Matrix Score. The authors attempted to develop a formula for predicting quality performance, the Quality Quotient, as well as testing the discriminability of the predictors. To gather information, a survey developed specifically for this research was sent to each of the five Air Force Air Logistic Centers. The data were analyzed primarily using multiple regression analysis and discriminant analysis. The results of these analyses highlighted the ability of specific predictors for both prediction and discrimination using the Oregon Productivity score (standardized as a Z-score) as a dependent variable. In addition to providing strong predictive ability, two of the regression formula beta coefficients surprised the researchers by having a negative effect on the dependent variable (although stated to have a positive effect by quality experts). Survey participants who were members of the top performing organizations believed that their organizations' data collection systems were more complicated than necessary, and that statistical techniques should only be used by experts in the Quality field. Keywords: Quality, Productivity, Quality control, Quality assurance, Theses.
Descriptors : *MEASUREMENT, *ORGANIZATIONS, *PERFORMANCE(HUMAN), *QUALITY, COEFFICIENTS, DATA ACQUISITION, DISCRIMINATE ANALYSIS, FORMULATIONS, INDICATORS, OREGON, PREDICTIONS, PRODUCTIVITY, QUALITY ASSURANCE, QUALITY CONTROL, REGRESSION ANALYSIS, STATISTICAL PROCESSES, THESES
Subject Categories : Mfg & Industrial Eng & Control of Product Sys
Administration and Management
Distribution Statement : APPROVED FOR PUBLIC RELEASE