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Migliavaca, Celina Borges; Stein, Cinara; Colpani, Verônica; Barker, Timothy Hugh; Ziegelmann, Patricia Klarmann; Munn, Zachary; Falavigna, Maicon – Research Synthesis Methods, 2022
Over the last decade, there has been a 10-fold increase in the number of published systematic reviews of prevalence. In meta-analyses of prevalence, the summary estimate represents an average prevalence from included studies. This estimate is truly informative only if there is no substantial heterogeneity among the different contexts being pooled.…
Descriptors: Incidence, Meta Analysis, Statistics, Statistical Distributions
Sandra Jo Wilson; Brian Freeman; E. C. Hedberg – Grantee Submission, 2024
As reporting of effect sizes in evaluation studies has proliferated, researchers and consumers of research need tools for interpreting or benchmarking the magnitude of those effect sizes that are relevant to the intervention, target population, and outcome measure being considered. Similarly, researchers planning education studies with social and…
Descriptors: Benchmarking, Effect Size, Meta Analysis, Statistical Analysis
Fakis, Apostolos; Hilliam, Rachel; Stoneley, Helen; Townend, Michael – Journal of Mixed Methods Research, 2014
Background: A systematic literature review was conducted on mixed methods area. Objectives: The overall aim was to explore how qualitative information from interviews has been analyzed using quantitative methods. Methods: A contemporary review was undertaken and based on a predefined protocol. The references were identified using inclusion and…
Descriptors: Statistical Analysis, Qualitative Research, Interviews, Literature Reviews
Heyvaert, Mieke; Hannes, Karin; Maes, Bea; Onghena, Patrick – Journal of Mixed Methods Research, 2013
In several subdomains of the social, behavioral, health, and human sciences, research questions are increasingly answered through mixed methods studies, combining qualitative and quantitative evidence and research elements. Accordingly, the importance of including those primary mixed methods research articles in systematic reviews grows. It is…
Descriptors: Mixed Methods Research, Qualitative Research, Statistical Analysis, Quality Control

Bass, Roger F. – Psychology in the Schools, 1987
Evaluates arguments concerning the generality and statistical analysis of single-subject data. Considers the role of philosophy of science in evaluating research methodology. Single-subject data have special relevance for psychologists and educators who focus on the individual but statistical techniques for analyzing data have numerous…
Descriptors: Data Interpretation, Generalizability Theory, Generalization, Philosophy

Krishnan, Parmeswara – Alberta Journal of Educational Research, 1995
Comments on some methodological limitations of the research base of "The Bell Curve": blind use of the normal distribution (bell curve); avoidance of nonnormal statistical distributions, which are more appropriate for some social and economic characteristics; copious use of percentiles and quintiles, inappropriate with nonnormal…
Descriptors: Data Interpretation, Intelligence Quotient, Multivariate Analysis, Research Methodology
Congress of the U.S., Washington, DC. Congressional Budget Office. – 1987
This report analyzes possible causes of current trends in educational achievement and discusses implications for policy. It uses data described in the publication "Trends in Educational Achievement," a Congressional Budget Office study released in April 1986, which assessed data about trends in test scores. This report begins with a…
Descriptors: Academic Achievement, Achievement Gains, Achievement Rating, Achievement Tests

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
Forsyth, G. Alfred; And Others – 1995
A recent conference on statistics education recommended that more emphasis be placed on the interpretation of research (IOR). Ways for developing and assessing IOR and providing a systematic framework for creating and selecting instructional materials for the independent assessment of specific IOR concepts are the focus of this paper. The…
Descriptors: Data Interpretation, Evaluation Methods, Evaluation Research, Evaluative Thinking

Gartrell, John; Marquez, Stephanie Amadeo – Alberta Journal of Educational Research, 1995
Criticizes data analysis and interpretation in "The Bell Curve:" Herrnstein and Murray do not actually study the "cognitive elite"; do not control for education when examining effects of cognitive ability on occupational outcomes, ignore, cultural diversity within broad ethnic groups (Asian Americans, Latinos), ignore gender…
Descriptors: Cognitive Ability, Data Interpretation, Educational Attainment, Educational Status Comparison

Schagen, I. P. – Educational Studies, 1990
National Mathematics Survey briefly explains multilevel models, examining their power and flexibility as analytical tools. Provides examples of two applied models studying school and pupil variables: (1) data analysis from a National Mathematics Survey (England, Wales, Northern Ireland); and (2) data analysis of pupil attitudes using Hierarchical…
Descriptors: Data Interpretation, Elementary Secondary Education, Foreign Countries, Information Technology
Forsyth, G. Alfred; And Others – 1996
Many students view statistics as their worst college course. Four heuristics that can improve students' proficiency in statistics and in interpreting reports of research are presented in this paper. The heuristics guide students' judgments about significance, generalizability, cause-and-effect, and strength of independent-dependent variable…
Descriptors: College Students, Data Interpretation, Evaluation Methods, Evaluation Needs
Creighton, Theodore B. – 2000
Data collection and analysis are frequently neglected by school leaders over the course of the decision-making process. All schools gather large amounts of information about students and teachers, but most data are used to satisfy administrative requirements rather than evaluate school improvement in a systematic fashion. Apprehension regarding…
Descriptors: Administrator Education, Data, Data Analysis, Data Collection
Milam, John – 1998
This study examines some of the literature on college faculty supply and demand and asks whether it is possible to adopt assumptions from the previous research to construct a complex model of faculty workforce using the available data. The study involved a comprehensive review of the literature; numerous interviews conducted by telephone, e-mail,…
Descriptors: College Faculty, Data Analysis, Data Interpretation, Databases