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Showing 1 to 15 of 20 results Save | Export
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Ilic, Peter – International Association for Development of the Information Society, 2019
This paper reflects on an attempt to introduce smartphones into a blended learning context and highlights several methodological considerations relevant to the collection of mobile data. While mixed methods are now common, using this approach for investigating the challenges of mobile data collection is not as common. This study employed a mixed…
Descriptors: Active Learning, Handheld Devices, Telecommunications, Blended Learning
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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
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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
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Robinson, Earl J.; Lissitz, Robert W. – Psychometrika, 1977
This paper presents a simple random procedure for selecting subsets of stimulus pairs for presentation to subjects. The resulting set of ratings from the group of subjects allows the construction of a group space through the use of an existing computer program. (Author/JKS)
Descriptors: Computer Programs, Data Collection, Multidimensional Scaling, Responses
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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
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Young, Forest; Baker, Robert F. – Psychometrika, 1975
The Individual Scaling with Individual Subjects (ISIS) procedure appears to be a viable implementation of an incomplete design for collecting real as well as simulated data. Applied to a multidimensional set of data, it reduced the number of judgments required by more than half and yet gave the same number of dimensions. (Author/RC)
Descriptors: Correlation, Data Collection, Matrices, Multidimensional Scaling
Gabriel, Roy M. – 1975
Multidimensional scaling (MDS) a highly reliable measurement technique, often requires an overwhelming task of the subject in the data collection procedure. This investigation was designed to determine the loss of precision in solution associated with five degrees of systematic reduction in the data collection task. Data were simulated via Monte…
Descriptors: Data Analysis, Data Collection, Mathematical Models, Matrices
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Humphreys, 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
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Subkoviak, Michael; Roecks, Alan L. – Journal of Educational Measurement, 1976
Three different methods of data collection were examined in which subjects judged proximity between object pairs. Significant differences in accuracy were found among the three methods, presumably due to differences in the extent to which subjects are able to describe their perceptions under the various methods. (Author/RC)
Descriptors: College Students, Data Collection, Distance, Geographic Location
Takane, Yoshio – 1980
A maximum likelihood estimation procedure is developed for the simple and the weighted additive models. The data are assumed to be taken by either one of the following methods: (1) categorical ratings--the subject is asked to rate a set of stimuli with respect to an attribute of the stimuli on rating scales with a relatively few observation…
Descriptors: Data Collection, Elementary Education, Factor Analysis, Mathematical Models
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Subkoviak, Michael J.; Levin, Joel R. – Journal of Educational Measurement, 1974
A free-response method of data collection (questionnaires), in conjunction with nonmetric multidimensional scaling, produced results highly similar to those of a previous study, i.e., that an effective college teacher could be characterized in terms of "research,""teaching," and "service to the university." (Author/RC)
Descriptors: College Faculty, Data Collection, Evaluation Methods, Multidimensional Scaling
Subkoviak, Michael J.; Roecks, Alan L.
Three different methods of data collection in which subjects judged proximity between object pairs were examined. One method required subjects to partition objects into homogeneous subsets; the second entailed rating object pairs on a similarity-dissimilarity continuum; and the third involved comparing interobject proximities to a fixed standard.…
Descriptors: Classification, College Students, Comparative Analysis, Data Collection
Subkoviak, Michael J.; Roecks, Alan L. – 1975
The present study examined three different methods of data collection in which subjects judged proximity between object pairs. One method required subjects to partition objects into homogeneous subsets; the second entailed rating object pairs on a similarity-dissimilarity continuum; and the third involved comparing inter-object proximities to a…
Descriptors: Data Collection, Distance, Evaluation Methods, Higher Education
Subkoviak, Michael J.; Levin, Joel R. – 1974
In a recently conducted study it was found that an effective college teacher could be characterized chiefly in terms of "research", "teaching", and "service to the university". The present experiment corroborated these findings using a relatively unknown approach to data collection, analysis, and interpretation. A free-response method of data…
Descriptors: College Faculty, Data Collection, Evaluation Criteria, Multidimensional Scaling
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