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Peer reviewedCorrigan, Patrick W.; Garman, Andrew N.; Canar, Jeffrey; Lam, Chow – Rehabilitation Counseling Bulletin, 1999
Utilizes rehabilitation staff members (N=305) to replicate the results of an earlier study that described effective leaders of treatment teams. Results of analysis of participants' responses to the Team Atmosphere Questionnaire are described. Discusses implication for training effective leaders for rehabilitation teams. (Author/MKA)
Descriptors: Cultural Pluralism, Data Analysis, Leadership Qualities, Mental Health
Peer reviewedMadden, Andrew D. – Educational Research, 1999
Explains genetic algorithms, a means of generating logical rules that predict one variable by relating it to others. Describes how they can be applied to analysis of survey data. (SK)
Descriptors: Algorithms, Data Analysis, Educational Research, Nonparametric Statistics
Peer reviewedMuenz, Tracy A.; Ouchi, Bryan Y.; Cole, Jason C. – Psychology in the Schools, 1999
Reexamines the reliability and validity of the Peabody Individual Achievement Test-Revised (PIAT-R) and the Wechsler Individual Achievement Test (WIAT) Written Expression scoring systems, applying theory and more appropriate statistical analyses. The WIAT written-expression scoring system was found to have more items that were both reliable and…
Descriptors: Adolescents, Data Analysis, Reliability, Statistical Analysis
Peer reviewedLudlow, Larry H.; O'Leary, Michael – Educational and Psychological Measurement, 1999
Focuses on the practical effects of using different statistical treatments with omitted and not-reached items in an item-response theory application. The strategy selected for scoring such items has considerable impact on the interpretation of results for individual or group-level assessments. (Author/SLD)
Descriptors: Data Analysis, Item Response Theory, Scoring, Test Interpretation
Peer reviewedBell, D. A.; Guan, J. W. – Journal of the American Society for Information Science, 1998
Rough set theory is a new mathematical tool to deal with vagueness and uncertainty. Computational methods are presented for using rough sets to identify classes in datasets, finding dependencies in relations, and discovering rules which are hidden in databases. The methods are illustrated with a running example from a database of car test results.…
Descriptors: Classification, Computation, Data Analysis, Databases
Peer reviewedDeogun, Jitender S.; Choubey, Suresh K.; Raghavan, Vijay V.; Sever, Hayri – Journal of the American Society for Information Science, 1998
Develops and analyzes four algorithms for feature selection in the context of rough set methodology. Experimental results confirm the expected relationship between the time complexity of these algorithms and the classification accuracy of the resulting upper classifiers. When compared, results of upper classifiers perform better than lower…
Descriptors: Algorithms, Classification, Computation, Data Analysis
Peer reviewedCloutterbuck, Jane C.; Cherry, Brenda S. – Journal of Nursing Education, 1998
The Cloutterbuck Minimum Data Matrix is designed to generate a base of consumer information for critical analysis and synthesis to produce health care outcomes. The interdisciplinary teaching tool helps students recognize the diversity of health care consumers. (SK)
Descriptors: Data Analysis, Data Collection, Matrices, Nursing Education
Peer reviewedBadger, D.; Nursten, J.; Williams, P.; Woodward, M. – Evaluation and Research in Education, 2000
Provides an outline of the framework for conducting a literature review based on experiences in reviewing the literature on the epidemiology of mentally disordered offenders. The approach covers the key areas of: (1) definition of the problem and criteria for inclusion and exclusion; (2) the search strategy; (3) criteria for the evaluation of…
Descriptors: Criteria, Data Analysis, Definitions, Epidemiology
Peer reviewedGluck, Myke – Journal of the American Society for Information Science and Technology, 2001
Reviews the role of exploratory data analysis (EDA) for spatial data mining and presents a case study addressing environmental risk assessments in New York State to illustrate the feasibility and usability of augmenting seriation for spatial data analysis. Describes augmentation with multimedia tools to understand relationships among spatial,…
Descriptors: Case Studies, Data Analysis, Feasibility Studies, Multimedia Materials
Peer reviewedRedmann, Donna H.; Stitt-Gohdes, Wanda L.; Lambrecht, Judith J. – Delta Pi Epsilon Journal, 2000
Compares qualitative and quantitative methods. Proposes critical incident technique as an appropriate tool for workplace and classroom settings. Describes its components, including interview techniques, coding of interview themes, data analysis, and drawing conclusions. (Contains 28 references.) (SK)
Descriptors: Business Education, Critical Incidents Method, Data Analysis, Interviews
Ackerson, Jack – Journal of Instruction Delivery Systems, 1995
Presents an approach to conducting a top-level analysis of training management functions when there are problems within a training system. Highlights include data gathering and analyses of a training system; training management functions and activities, including planning, staffing, development, and evaluation and feedback; and development of root…
Descriptors: Administration, Data Analysis, Evaluation Methods, Feedback
Peer reviewedBurnard, Philip – Nurse Education Today, 1996
Outlines a group method for teaching the analysis of textual data. The experiential method involves coding, categorizing, and achieving consensus on the categories. (SK)
Descriptors: Data Analysis, Experiential Learning, Group Instruction, Nursing Education
Peer reviewedCalzada, Maria; Scariano, Stephen M. – Mathematics and Computer Education, 1996
Uses the visual and programming capabilities of the graphing calculator to discern both differences and similarities between two independent collections of sample data. (MKR)
Descriptors: Data Analysis, Graphing Calculators, Graphs, Higher Education
Peer reviewedRew, Lynn; Koniak-Griffin, Deborah; Lewis, Mary Ann; Miles, Margaret; O'Sullivan, Ann – Nursing Outlook, 2000
Adolescents are at high risk for preventable health problems, but it is difficult for many researchers to obtain primary data. Secondary analysis of existing data is a reasonable alternative. This method saves time and money and allows for a more diverse sample. However, the data may have questionable internal validity and lack documentation.…
Descriptors: Adolescents, Data Analysis, Health, Research Methodology
Peer reviewedNemirovsky, Ricardo; Tierney, Cornelia – Educational Studies in Mathematics, 2001
Focuses on children creating representations on paper for situations that change over time. Articulates the distinction between homogeneous and heterogeneous spaces and reflects on children's tendency to create hybrids between them. (Author/MM)
Descriptors: Cognitive Processes, Concept Formation, Data Analysis, Elementary Secondary Education


