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Ola, Ade G.; Bai, Xue; Omojokun, Emmanuel E. – Research in Higher Education Journal, 2014
Over the years, companies have relied on On-Line Analytical Processing (OLAP) to answer complex questions relating to issues in business environments such as identifying profitability, trends, correlations, and patterns. This paper addresses the application of OLAP in education and learning. The objective of the research presented in the paper is…
Descriptors: Profiles, Database Management Systems, Information Management, Progress Monitoring
Derrington, Mary Lynne; Sanders, Kellie – AASA Journal of Scholarship & Practice, 2011
A disconnect exists between principal leadership expectations and the actual practice of supervision and evaluation of principals. Increased principal responsibilities and rigorous standards require that a new approach to principal evaluation be considered. The authors provide a framework for a multi-dimensional approach to principal supervision…
Descriptors: Supervisor Supervisee Relationship, Leadership, Principals, Administrator Evaluation
Williams, Tracy Rundstrom – Frontiers: The Interdisciplinary Journal of Study Abroad, 2009
Judging from the recent surge in research on outcomes assessment, many study abroad offices rely on quantitative surveys and measures to collect student outcomes data. This paper presents a multidimensional, qualitative approach to data collection. This approach makes qualitative data easy to collect and encourages students to reflect and…
Descriptors: Outcomes of Education, Program Effectiveness, Study Abroad, Program Evaluation
Bellows, Nicole M.; Halpin, Helen A. – Gerontologist, 2008
Purpose: We examined the relationship between the quality indicator for decline in activities of daily living (ADL) and the use of the Minimum Data Set (MDS) for determining Medicaid skilled nursing facility reimbursement. Design and Methods: We conducted a cross-sectional analysis using the 2004 National MDS Facility Quality Indicator reports as…
Descriptors: Multiple Regression Analysis, Multidimensional Scaling, Comparative Analysis, Health Insurance
Peer reviewedHumphreys, Marie Adele – Educational and Psychological Measurement, 1982
This study investigates four widely used methods of collecting direct similarity judgments for nonmetric multidimensional scaling: rating scale, triads, rank order of pairs, and conditional rank order. (Author/PN)
Descriptors: Cost Effectiveness, Data Collection, Multidimensional Scaling, Rating Scales
Patient Satisfaction with Outpatient Psychiatric Services: Qualitative and Quantitative Assessments.
Peer reviewedPerreault, Michel; And Others – Evaluation and Program Planning, 1993
Quantitative and qualitative measures of patient satisfaction with psychiatric outpatient services were compared in interviews with 263 outpatients. Results indicate that expressions of dissatisfaction appear mainly in open-ended questions. Focus on the questions and acceptability of the data gathering procedure appears to influence responses…
Descriptors: Comparative Analysis, Data Collection, Interviews, Multidimensional Scaling
Peer reviewedMiller, Donald M.; And Others – Multivariate Behavioral Research, 1986
Two techniques compose a new methodology for studying certain classes of qualitative information: the F-sort task for data collection and latent partition analysis for data summarization. A detailed presentation is given of its application to a study of teacher's views of facilitating student learning in the classroom. (Author/LMO)
Descriptors: Classification, Concept Formation, Data Collection, Elementary Secondary Education
Peer reviewedGluck, Myke – Journal of the American Society for Information Science, 1990
Examines the definition of journal coverage overlap in abstracting and indexing services during the past 30 years of research and expands the definition using a matrix of dissimilarity values. Multidimensional scaling analysis is applied to graphically demonstrate this definition and a naive secondary tool selection algorithm is presented. (43…
Descriptors: Algorithms, Citation Analysis, Data Collection, Factor Analysis

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