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Peer reviewedTallmadge, G. Kasten – Journal of Educational Measurement, 1985
Support for the validity of the equipercentile assumption is presented in contrast with the conclusion of Powers, Slaughter, and Helmick (EJ 289 091). Observed "gains" from pre- to posttests are better attributed to stakeholder bias, posttests that match curriculum content too closely, or a combination of these factors. (Author/DWH)
Descriptors: Data Interpretation, Evaluation Methods, Norm Referenced Tests, Predictive Measurement
Peer reviewedSmith, John K. – Educational Researcher, 1988
Relativism is an inevitable consequence of our interpretive mode of being in the world. This is so for both our daily lives and our professional lives. What does not overly concern us at the former level should likewise not concern us at the latter level. (Author/BJV)
Descriptors: Data Interpretation, Evaluation Methods, Evaluators, Research Needs
Peer reviewedHinkle, Dennis E.; And Others – New Directions for Institutional Research, 1988
The data collected in higher education research are not always quantitative or continuous. Statistical methods using the log-linear model provide the institutional researcher with a powerful set of tools for addressing research questions when data are categorical. (Author/MSE)
Descriptors: Data Interpretation, Higher Education, Information Utilization, Institutional Research
Peer reviewedMoline, Arlett E. – New Directions for Institutional Research, 1988
Path analysis and linear structural relations (LISREL) provide the institutional researcher with some extremely powerful statistical tools. However, they must be applied and interpreted carefully with a full understanding of their limitations and the statistical assumptions on which they are based. (Author)
Descriptors: Data Interpretation, Higher Education, Institutional Research, Models
Peer reviewedShimizu, Kazuaki; And Others – Journal of Vocational Behavior, 1988
Examined factor structure of Career Decision Scale (CDS), comparing findings of seven factor analytic studies. Conducted new factor analytic study of CDS designed to avoid methodological problems of earlier studies, using 698 secondary school students as subjects. Results suggest "Simple" model of CDS factor structure could be derived…
Descriptors: Career Choice, Data Interpretation, Decision Making, Factor Structure
Rick, John W. – Perspectives in Computing: Applications in the Academic and Scientific Community, 1986
Discusses use of computer simulation as an archeological tool for research and teaching involving the remains of prehistoric game animals to aid in understanding effects of various strategies of prehistoric hunters on populations of game animals. A simulation involving possible vicuna hunting strategies is described. (MBR)
Descriptors: Animal Behavior, Archaeology, Behavior Patterns, Computer Graphics
DeCanio, Stephen J. – Economic Education, 1986
Maintains that usual method of analyzing student evaluation of teaching (SET) data is inappropriate. Shows results of both ordinary least squares (OLS) and multinominal logit data analysis approaches on 6,872 student evaluation of economics faculty at University of California, Santa Barbara during the 1983-84 academic year. Results show…
Descriptors: Course Evaluation, Data Interpretation, Economics Education, Higher Education
Peer reviewedWard, Roger A.; Grasha, Anthony F. – Teaching of Psychology, 1986
Provides a classroom demonstration designed to test an astrological hypothesis and help teach introductory psychology students about research design and data interpretation. Illustrates differences between science and nonscience, the role of theory in developing and testing hypotheses, making comparisons among groups, probability and statistical…
Descriptors: College Instruction, Data Analysis, Data Interpretation, Higher Education
Peer reviewedSuen, Hoi K. – Evaluation and the Health Professions, 1984
The Bayesian inferential process is modified for use in an aggregate meta-analytic evaluation. Compared with the average effect size meta-analytic approach, the Bayesian approach was more sensitive, more consistent and more powerful. This approach is recommended when primary data are not available and when all evaluations involve comparisons of…
Descriptors: Bayesian Statistics, Data Interpretation, Effect Size, Evaluation Methods
Doig, Brian; Groves, Susie – 1999
A glance at any newspaper shows that graphs play an important part in presenting data to the public. It appears self-evident that children need to develop "graphical literacy" as part of their mathematics education. As part of a series of mathematically orientated science activities in the Practical Mechanics in Primary Mathematics project, 102…
Descriptors: Cognitive Processes, Data Interpretation, Elementary Education, Elementary School Mathematics
Busch, Deborah – 1999
This report examines how Juvenile Detention Alternatives Initiative (JDAI) sites used data to plan reforms and assess reform success, noting where and how they gathered data. Chapter 1, "The Need for Data," discusses: assessing data utilization, using data to enhance communication, and using this report to support reform. Chapter 2,…
Descriptors: Adolescents, Computers, Data Collection, Data Interpretation
Peer reviewedSalkie, Raphael – Language Sciences, 1996
Discusses and compares the meaning of epistemic uses of modals. Demonstrates that the relation between them is not as simple as has been frequently suggested. The article bases its observations on the data from a corpus of parallel French and English texts, pointing out that such a corpus can open new avenues for investigation of an old topic. (18…
Descriptors: Cognitive Structures, Computational Linguistics, Contrastive Linguistics, Data Interpretation
Peer reviewedFournier, Deborah M., Ed. – New Directions for Evaluation, 1995
The seven chapters of this special issue explore problems in how to better understand the reasoning process that is used to establish evaluative conclusions. The many unanswered questions about reasoning should stimulate further investigation of the meaning of sound evaluative reasoning. (SLD)
Descriptors: Critical Thinking, Data Interpretation, Decision Making, Evaluation Methods
Peer reviewedHaverkamp, Beth E. – Journal of Employment Counseling, 1994
Assessment is described from the perspective of counselor inferential judgment. The problem with the conceptualization of assessment as a list of questions or measure is the possibility of getting stuck in the content of assessment. Types of cognitive bias and ways to avoid inferential error are discussed. (LKS)
Descriptors: Career Counseling, Career Development, Counseling Effectiveness, Counseling Objectives
Peer reviewedLeslie, David W.; Fygetakis, Elaine C. – Research in Higher Education, 1992
This paper compares the results of National Center for Education Statistics (NCES) and the Carnegie surveys of postsecondary faculty and notes the differently constructed samples, the different response rates, and different weighting schemes in analysis and interpretation. Inconsistencies in the surveys' results are identified and methodological…
Descriptors: College Faculty, Data Analysis, Data Interpretation, Higher Education


