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Lenton, Graham; Stevens, Brenda; Illes, Robert – School Science Review, 2000
Investigates 10th grade students' ability to handle data and interpretation by using a variety of tasks. Discusses the importance of developing student discussion as a route to better conceptual understanding of data presented in graphical form. (Contains 15 references.) (Author/YDS)
Descriptors: Data Interpretation, Graphs, High Schools, Mathematics Education
Vacha-Haase, Tammi; Thompson, Bruce – Journal of Counseling Psychology, 2004
The present article presents a tutorial on how to estimate and interpret various effect sizes. The 5th edition of the Publication Manual of the American Psychological Association (2001) described the failure to report effect sizes as a "defect" (p. 5), and 23 journals have published author guidelines requiring effect size reporting. Although…
Descriptors: Effect Size, Research Methodology, Computation, Data Interpretation
Luan, Jing; Zhao, Chun-Mei – New Directions for Institutional Research, 2006
As a tour de force, data mining is likely to gain wider use in the next few years. To facilitate this transition, we make several recommendations addressed to both institutional research professionals and the Association of Institutional Research.
Descriptors: Institutional Research, Enrollment Management, Educational Research, Data Analysis
Feldt, Leonard S.; Charter, Richard A. – Educational and Psychological Measurement, 2006
Seven approaches to averaging reliability coefficients are presented. Each approach starts with a unique definition of the concept of "average," and no approach is more correct than the others. Six of the approaches are applicable to internal consistency coefficients. The seventh approach is specific to alternate-forms coefficients. Although the…
Descriptors: Reliability, Monte Carlo Methods, Research Methodology, Alternative Assessment
Lachat, Mary Ann; Williams, Martha; Smith, Stephen C. – Principal Leadership, 2006
Schools today are more data rich than ever, requiring staff members to develop their data literacy--that is, their knowledge of how to use assessment data with other types of data to identify areas of effectiveness and to target instructional improvement efforts. Administrators and teachers are expected to use combinations of data (diagnostic and…
Descriptors: Program Effectiveness, Data Analysis, Instructional Improvement, Standardized Tests
Boudett, Kathryn Parker; City, Elizabeth A.; Murnane, Richard J. – Principal Leadership, 2006
Organizing the work of instructional improvement around a process that has specific, manageable steps helps educators build confidence and skill in using data. A process that includes eight distinct steps can take school leaders to use their assessment data effectively, and organized these steps into three phases: Prepare, Inquire, and Act. The…
Descriptors: Data Analysis, Instructional Improvement, Data Interpretation, Sequential Approach
Woods, Philip A.; Woods, Glenys J.; Gunter, Helen – Journal of Education Policy, 2007
The academy schools programme in England is presented by Government as the means by which increased diversity and private participation in the provision of public education can be used to solve educational and wider social problems. The entrepreneurial features of academy schools are examined, through a study of the sponsors and the ethos, values…
Descriptors: Foreign Countries, Social Problems, Public Education, Educational Change
Forster, Patricia A. – International Journal for Technology in Mathematics Education, 2007
This paper analyses technology-based instruction on data-analysis with box plots. Examples of instruction taken from the research literature inform a study of two classes of 17 year-old students (upper secondary) in which the mathematical relationships that their teachers targeted are distinguished as being, or not being, relevant to statistical…
Descriptors: Statistical Analysis, Secondary School Students, Mathematics Instruction, Teaching Methods
Parette, Howard P.; Peterson-Karlan, George R.; Wojcik, Brian W.; Bardi, Nora – TEACHING Exceptional Children, 2007
The role of curriculum-based data in educational decision making, particularly with regard to the assistive technology (AT) consideration process, has become increasingly important. The No Child Left Behind Act of 2001 (NCLB) and other demands for school accountability require teachers to be more thoughtful about all decisions regarding students…
Descriptors: Federal Legislation, Disabilities, Educational Technology, Assistive Technology

Zeller, Richard A. – Teaching Sociology, 1988
Describes an activity that (1) illustrates the classical experiment as a research tool; (2) demonstrates the interplay among hypotheses, methods, and data; and (3) nurtures the excitement of a method of study. (BSR)
Descriptors: Data Interpretation, Experiments, Higher Education, Learning Activities

Hill, Edward W. – Monthly Labor Review, 1987
Examines national Current Population Survey data to indicate the impact of sample size on the standard error of subpopulations in the sample and to show how these errors can influence policy conclusions. Examines the unemployment rate cross-sectionally for 11 states to demonstrate that the monthly unemployment rate should not be used to make fine…
Descriptors: Data Interpretation, Generalizability Theory, Public Policy, Research Methodology
Brualdi, Amy – 1999
Test validity refers to the degree to which the inferences based on test scores are meaningful, useful, and appropriate. Thus, test validity is a characteristic of a test when it is administered to a particular population. This article introduces the modern concepts of validity advanced by S. Messick (1989, 1996, 1996). Traditionally, the means of…
Descriptors: Criteria, Data Interpretation, Elementary Secondary Education, Reliability

Rossi, Joseph S. – Journal of Consulting and Clinical Psychology, 1990
Calculated power for 6,155 statistical tests in 221 journal articles published in 1982 volumes of "Journal of Abnormal Psychology,""Journal of Consulting and Clinical Psychology," and "Journal of Personality and Social Psychology." Power to detect small, medium, and large effects was .17, .57, and .83, respectively. Concluded that power of…
Descriptors: Data Interpretation, Power (Statistics), Psychology, Social Science Research

Hoover, Greg A. – Social Forces, 1989
Examines the comparability of various types of income inequality data used in cross-national research. Focuses on more stringent definition and measurement of income. Presents income distribution data (quintile distributions and Gini coefficients) for 61 nations that meet these stricter requirements. Contains 37 references. (SV)
Descriptors: Data Collection, Data Interpretation, Economic Research, Income

McNeil, Keith; Newman, Isadore – Mid-Western Educational Researcher, 1994
Meta-analysis synthesizes related research by considering three major factors: sample size, magnitude of significance, and statistical test used. These factors produce an effect size, expressed as a correlation or as a difference between means, divided by the standard deviation. Discusses ways to use effect size when results are not consistent and…
Descriptors: Data Interpretation, Effect Size, Literature Reviews, Meta Analysis