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Finch, Holmes – Practical Assessment, Research & Evaluation, 2022
Researchers in many disciplines work with ranking data. This data type is unique in that it is often deterministic in nature (the ranks of items "k"-1 determine the rank of item "k"), and the difference in a pair of rank scores separated by "k" units is equivalent regardless of the actual values of the two ranks in…
Descriptors: Data Analysis, Statistical Inference, Models, College Faculty
Luoma, Mikko; Risikko, Tanja; Erkkilä, Paula – European Journal of Higher Education, 2016
This study examines university strategies from the content perspective. Since the early 1980s, the pressure to adopt strategic management in universities and other higher education institutions has increased because of issues including reduced public funding, pressures and possibilities for internationalization, developments in teaching…
Descriptors: Content Analysis, Multidimensional Scaling, Higher Education, Foreign Countries
Scott, Terry F.; Schumayer, Daniel – Physical Review Special Topics - Physics Education Research, 2015
In this paper we present a series of item response models of data collected using the Force Concept Inventory. The Force Concept Inventory (FCI) was designed to poll the Newtonian conception of force viewed as a multidimensional concept, that is, as a complex of distinguishable conceptual dimensions. Several previous studies have developed…
Descriptors: Scores, Item Response Theory, Science Tests, Physics
Forsman, Jonas; Linder, Cedric; Moll, Rachel; Fraser, Duncan; Andersson, Staffan – Studies in Higher Education, 2014
Complexity thinking is relatively new to education research and has rarely been used to examine complex issues in physics and engineering education. Issues in higher education such as student retention have been approached from a multiplicity of perspectives and are recognized as complex. The complex system of student retention modelling in higher…
Descriptors: School Holding Power, Models, Higher Education, Systems Approach
Zendler, Andreas; Klaudt, Dieter; Seitz, Cornelia – Journal of Educational Computing Research, 2014
The authors discuss empirically determined competence areas to K-12 computer science education, emphasizing the cognitive level of competence. The results of a questionnaire with 120 professors of computer science serve as a database. By using multi-dimensional scaling and cluster analysis, four competence areas to computer science education…
Descriptors: Elementary Secondary Education, Computer Science Education, Competence, Cognitive Processes
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
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
Seok, Soonhwa – Educational Technology Research and Development, 2009
The purpose of this study was to identify and validate items applicable to evaluating online courses at the postsecondary level. Items were derived from a review of the literature. Four judges rated the similarity of the items by making pair-wise comparisons utilizing multidimensional scaling (MDS). The study consisted of five stages. Stage I…
Descriptors: Online Courses, Multidimensional Scaling, Course Evaluation, Test Items
Culpepper, Steven Andrew – Multivariate Behavioral Research, 2009
This study linked nonlinear profile analysis (NPA) of dichotomous responses with an existing family of item response theory models and generalized latent variable models (GLVM). The NPA method offers several benefits over previous internal profile analysis methods: (a) NPA is estimated with maximum likelihood in a GLVM framework rather than…
Descriptors: Profiles, Item Response Theory, Models, Maximum Likelihood Statistics
Adams, Ryan S.; Tracey, Terence J. G. – Assessment, 2004
The Interpersonal Adjective Scales (IAS) is a well-supported instrument that is designed to map interpersonal traits onto the interpersonal circumplex. However, three versions of the IAS exist and these vary with respect to the degree to which they included item definitions (i.e., glossary added at the end, definitions attached to each item, and…
Descriptors: Multidimensional Scaling, Models, Personality Traits
Deng, Chi-Ping; Armstrong, Patrick Ian; Rounds, James – Journal of Vocational Behavior, 2007
Holland's [Holland, J. L. (1959). A theory of occupational choice. Journal of Counseling Psychology, 6, 35-45; Holland, J. L. (1997). Making vocational choices: A theory of vocational personalities and work environments (3rd ed.). Odessa, FL: Psychological Assessment Resources, Inc.] RIASEC types were initially developed using a restricted range…
Descriptors: Reputation, Career Choice, Multidimensional Scaling, Labor Market