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Showing 1 to 15 of 16 results Save | Export
Porter, Kristin E.; Balu, Rekha – MDRC, 2016
Education systems are increasingly creating rich, longitudinal data sets with frequent, and even real-time, data updates of many student measures, including daily attendance, homework submissions, and exam scores. These data sets provide an opportunity for district and school staff members to move beyond an indicators-based approach and instead…
Descriptors: Models, Prediction, Statistical Analysis, Elementary Secondary Education
Van Duzer, Eric – Online Submission, 2012
The purpose of this paper is to introduce the process and value of Random Qualitative Validation (RQV) in the development and interpretation of survey data. RQV is a method of gathering clarifying qualitative data that improves the validity of the quantitative analysis. This paper is concerned with validity in relation to the participants'…
Descriptors: Research Methodology, Validity, Mixed Methods Research, Surveys
Minelli, Rachel M. – ProQuest LLC, 2012
This dissertation reports the results of three studies and a pilot study. The first study was a Monte Carlo validation study that examined the accuracy of a new visual inspection method, the semi-interquartile range method. Results of the study indicated that this method had lower levels of power than a previously validated method, the…
Descriptors: Educational Assessment, Student Evaluation, Evaluation Methods, Preservice Teachers
Bracey, Gerald W. – Education Digest: Essential Readings Condensed for Quick Review, 2006
It is curious that so many people are accepting of statistics despite Disraeli's famous aphorism concerning "three kinds of lies." This acceptance certainly seems to hold for education statistics, especially when they imply something negative about American public schools. Sometimes people accept statistics because they are not in a position to…
Descriptors: Data Interpretation, Statistics, Correlation, Rhetoric
Peer reviewed Peer reviewed
Richards, Stephen B.; Taylor, Ronald L.; Ramasamy, Rangasamy – Psychology in the Schools, 1997
Using the split-middle methods of trend estimation, evaluates the accuracy of interpretation of single subject data by comparing raters' visual analysis of behavior change with statistical determination of behavior change. Results indicate visual analysis accuracy was less than chance. Rater and student characteristics largely did not affect the…
Descriptors: Data Analysis, Data Interpretation, Inferences, Research Problems
Peer reviewed Peer reviewed
Parker, Randall M. – Journal of Learning Disabilities, 1990
The article examines the concepts of power and control in research design and applies them to a review of the validity of three studies (EC 600 064-066) evaluating the effectiveness of using Irlen tinted lenses with reading-disabled persons. Internal validity, external validity, statistical conclusion validity, and construct validity are…
Descriptors: Color, Data Interpretation, Elementary Secondary Education, Evaluation Research
Jarrell, Michele E.; And Others – 1989
Procedures used in Doctor of Education (Ed.D.) dissertations at the University of Alabama (Tuscaloosa) were studied. Focus was on identifying: (1) characteristics of the research designs used; (2) sources of the instruments used to collect data; (3) reports of reliability estimates and evidence of validity of the instruments; and (4) types of…
Descriptors: Comparative Analysis, Data Interpretation, Doctoral Dissertations, Doctoral Programs
Gilbert, Neil – American Enterprise, 1994
A careful review of research suggests that the problem of sexual assault has been magnified and the data misinterpreted, in part because the issue of sexual violence against women has become enmeshed in politics. The current trend in sexual-violence research is to redefine it according to the ideological preferences of advocates. (SLD)
Descriptors: Data Interpretation, Females, Identification, Ideology
Peer reviewed Peer reviewed
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Brossart, Daniel F.; Parker, Richard I.; Olson, Elizabeth A.; Mahadevan, Lakshmi – Behavior Modification, 2006
This study explored some practical issues for single-case researchers who rely on visual analysis of graphed data, but who also may consider supplemental use of promising statistical analysis techniques. The study sought to answer three major questions: (a) What is a typical range of effect sizes from these analytic techniques for data from…
Descriptors: Research Design, Effect Size, Evaluation Methods, Researchers
Peer reviewed Peer reviewed
Beck, E. M.; Tolnay, Stewart E. – Historical Methods, 1995
Asserts that traditional approaches to multivariate analysis, including standard linear regression techniques, ignore the special character of count data. Explicates three suitable alternatives to standard regression techniques, a simple Poisson regression, a modified Poisson regression, and a negative binomial model. (MJP)
Descriptors: Data Interpretation, Evaluation Criteria, Higher Education, Multivariate Analysis
Congress of the U. S., Washington, DC. House Committee on Government Operations. – 1986
The Bureau of Labor Statistics (BLS) publishes the official unemployment rate on the first Friday of each month based on a sample survey of 59,500 households called the Current Population Survey. Unemployment data for states and local areas are published monthly by the BLS in cooperation with the state employment security agencies. The primary…
Descriptors: Data Collection, Data Interpretation, Dislocated Workers, Employment Patterns
Greenwald, Anthony G. – 1996
Higher education relies on student ratings to evaluate faculty teaching, partly because the alternatives (expert peer appraisals or objective performance criteria) are costly or unavailable. Because student ratings are crucial not only to improving instruction, but also in making or breaking faculty careers, it is important to assure that they…
Descriptors: Course Evaluation, Course Selection (Students), Data Interpretation, Grade Inflation
General Accounting Office, Washington, DC. – 1985
To compile its projections of future employment levels, the Bureau of Labor Statistics (BLS) combines the following five interlinked models in a six-step process: a labor force model, an econometric model of the U.S. economy, an industry activity model, an industry labor demand model, and an occupational labor demand model. The BLS was asked to…
Descriptors: Data Analysis, Data Collection, Data Interpretation, Employment Projections
Nascimento, Geraldo – 1990
Global figures that reveal the magnitude of the problem of illiteracy in the world disguise great disparities. For example, most of the illiteracy in the world is in developing countries. Therefore, it is preferable, and more appropriate in terms of numerical importance, to concentrate the analysis of illiteracy on developing countries. Such…
Descriptors: Adult Basic Education, Adult Literacy, Census Figures, Data Interpretation
Peer reviewed Peer reviewed
Herr, Elizabeth – Historical Methods, 1995
Utilizes 19th-century census figures to reveal a more accurate and richer picture of womens' participation in the frontier work environment. Although the occupational classifications accurately reflected the rise of an industrial economy, they ignored womens' entrepreneurial rural efforts. Presents statistical data to rectify this situation. (MJP)
Descriptors: Census Figures, Data Interpretation, Economic Impact, Economic Status
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