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Harwell, Michael R. – Journal of Educational Statistics, 1992
A methodological framework is provided for quantitatively integrating Type I error rates and power values for Monte Carlo studies. An example is given using Monte Carlo studies of a test of equality of variances, and the importance of relating metanalytic results to exact statistical theory is emphasized. (SLD)
Descriptors: Computer Simulation, Data Interpretation, Mathematical Models, Meta Analysis

Powers, Susan – Monthly Labor Review, 1992
The economic transformation of eastern Europe raises issues in the collection and interpretation of national statistics on output measures, price measures, labor force, household income, and private enterprise. The U.S. Bureau of Labor Statistics is assisting eastern European statistical agencies in rebuilding their systems. (SK)
Descriptors: Costs, Data Collection, Data Interpretation, Economic Change

Testone, Sharon – Research and Teaching in Developmental Education, 1998
Addresses the problems related to research design and the improper interpretation of survey results at the institutional level. Analyzes the validity of student opinion surveys. Discusses the importance of response rates. Encourages developmental educators to question results of surveys when outcomes are contrary to the findings of research…
Descriptors: Comparative Analysis, Data Interpretation, Developmental Studies Programs, Educational Research
Sanchez, Jorge R. – New Directions for Community Colleges, 1998
Calls for community colleges to collaborate with state and federal agencies to develop national post-community college earnings measures and student outcomes. Asserts that changes in pre- or post-college earnings result from many factors, and that attributing these changes to a single variable may lead to inaccurate conclusions. (EMH)
Descriptors: Accountability, Community Colleges, Data Interpretation, Educational Assessment
Miles, T. R.; Haslum, M. N.; Wheeler, T. J. – Annals of Dyslexia, 1998
A study involving 11,804 British children (age 10) found that when specified criteria for dyslexia were used, 269 children qualified as dyslexic. These included 223 boys and 46 girls, for a ratio of 4.51 to 1. Difficulties in interpreting these data are discussed and a defense of the criteria is provided. (Author/CR)
Descriptors: Children, Clinical Diagnosis, Data Analysis, Data Interpretation

Knapp, Thomas R. – Mid-Western Educational Researcher, 1999
Presents an opinion on the appropriate use of significance tests, especially in the context of regression analysis, the most commonly encountered statistical technique in education and related disciplines. Briefly discusses the appropriate use of power analysis. Contains 47 references. (Author/SV)
Descriptors: Data Interpretation, Educational Research, Effect Size, Hypothesis Testing

Callingham, Rosemary – Australian Primary Mathematics Classroom, 2000
Explains how rubrics can be used to assess children's understanding of chance and data concepts. Encounters unexpected results besides assessing chance and data outcomes. (ASK)
Descriptors: Data Interpretation, Educational Assessment, Elementary Education, Elementary School Mathematics

Deal, James E. – Journal of Marriage and the Family, 1995
Dealing with data from multiple family members presents problems for researchers, as many of the techniques available for dealing with such data are problematic, and there is no way that is unique to each family. Proposes and gives an example of the use of Q factor analysis as a means of combining data from multiple family members in a unique way…
Descriptors: Correlation, Data Analysis, Data Interpretation, Factor Analysis

Germann, Paul J.; Aram, Roberta J. – Journal of Research in Science Teaching, 1996
Reports on a study undertaken to develop research rubrics for a performance assessment of science processes and evaluate seventh-grade science students' ability to perform them. Focuses on the processes of recording data, analyzing data, drawing conclusions, and providing evidence. Reports that only 61% of the students performed the activity and…
Descriptors: Alternative Assessment, Data Analysis, Data Collection, Data Interpretation

Sumrall, William J.; Halpin, Regina F. – Science Scope, 2000
Discusses teaching display and presentation skills by incorporating it into an interdisciplinary computer, math, and science lesson on graphing and collecting data which reinforces problem-solving skills and develops students' abilities to graph and interpret data. (ASK)
Descriptors: Computer Uses in Education, Data Collection, Data Interpretation, Data Processing

Haney, Walt – International Journal of Leadership in Education, 2001
Cites evidence that questions the conclusion in Skrla and others article that Texas test-based accountability system has improved educational equity and social justice for racial minority students. (PKP)
Descriptors: Accountability, Board of Education Policy, Data Interpretation, Elementary Secondary Education

Skrla, Linda; Scheurich, James Joseph; Johnson, Joseph F., Jr.; Koschoreck, James W. – International Journal of Leadership in Education, 2001
Skrla and others rejoinder to Klien and Haney wherein they agree in part and disagree in part with points raised in both commentary responses. Reiterate their support for potential of test-based accountability systems to improve educational equity and social justice for racial minority students. (PKP)
Descriptors: Accountability, Board of Education Policy, Data Interpretation, Elementary Secondary Education
Epstein, Bert H. – NASPA Journal, 2004
Critical incidents, whether a natural disaster, interpersonal violence, or death of a student, continue to be an unfortunate aspect of campus life. This article discusses the resulting use, potential overuse, and possible misuse of psychological debriefing. Analysis and interpretation of recent scientific data for interventions similar to…
Descriptors: Crisis Intervention, Campuses, Guidance Centers, Data Analysis
Erosheva, Elena A. – Psychometrika, 2005
This paper focuses on model interpretation issues and employs a geometric approach to compare the potential value of using the Grade of Membership (GoM) model in representing population heterogeneity. We consider population heterogeneity manifolds generated by letting subject specific parameters vary over their natural range, while keeping other…
Descriptors: Mathematical Formulas, Research Methodology, Models, Comparative Analysis
Schug, Mark C.; Clow, John – Social Studies, 2002
Recent national survey results underscore the importance of economic and financial education: It appears that many Americans are making poor financial choices in such basic areas as saving for long-term goals and managing personal credit. Social studies teachers need to reexamine the contribution that the social studies curriculum can make in…
Descriptors: Social Studies, Economics Education, Money Management, Consumer Education