The problem for this research was that there were no identified and confirmed quality system model attributes for a successful online technology management doctoral consortium. The research extended existing research, and utilized a delphi panel to develop the attributes of a quality system model for a successful online doctoral consortium. The attributes of a quality system were developed by a three round delphi procedure and were used to develop a survey to determine perceived quality system differences among faculty, Ph.D. graduates, and current Ph.D. students associated with the Indiana State University (ISU) at Terre Haute Technology Management Ph.D. Consortium program. A proposed graphical quality system model capable of supporting the attributes of an online doctoral consortium was developed and utilized with the study and survey. Hypotheses testing and statistical analysis of the online survey were done to determine perceived quality system differences among faculty, Ph.D. graduates, and current Ph.D. students associated with the ISU Technology Management Ph.D. Consortium program.
The research has indicated that there is a significant difference in the level of agreement the faculty expressed with regards to the ISU Technology Management Ph.D. Consortium in comparison to two other major Ph.D. consortium groups, the graduates and the students. While there was statistical evidence of differences in the three groups of faculty, graduates and students in the ISU Technology Management Ph.D. Consortium program, it was relatively minor. Twelve of the 63 quality indicators from the survey show some type of statistically significant difference in paired combination of faculty-student, faculty-graduate, student-graduate.
|Commitee:||Badar, M. Affan, Mehta, Merwan, Rodchua, Sue, Waggoner, Todd|
|School:||Indiana State University|
|School Location:||United States -- Indiana|
|Source:||DAI-A 72/12, Dissertation Abstracts International|
|Subjects:||Management, Educational technology|
|Keywords:||Doctoral consortiums, Online learning, Quality indicators, Quality system|
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