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What Works Clearinghouse Rating
Hom, Willard – 2000
This study used 1994 data from the California Community College System cohort of first-time freshmen to identify that part of University of California (UC) or California State University (CSU) transfer performance that is determined by factors outside the control of college administrators. The idea was to "level the playing field" when…
Descriptors: Cohort Analysis, Community Colleges, Comparative Analysis, Data Interpretation
Peer reviewedSchmoker, Mike – Educational Leadership, 2003
Calls for simplicity when presenting data on student achievement. Data should help teachers improve teaching and learning, and focus on specific goals such as determining how many students are succeeding in a subject and, within that subject, what are the areas of strength or weakness. (Contains 22 references.) (WFA)
Descriptors: Academic Achievement, Data Analysis, Data Collection, Data Interpretation
Peer reviewedGartrell, 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
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
Peer reviewedBarbella, Peter; And Others – Mathematics Teacher, 1990
Demonstrates a statistically valid method allowing students to explore randomization. Described are two examples: counting techniques for a small set of data and simulation for a large sample. (YP)
Descriptors: Data Analysis, Data Interpretation, Mathematical Concepts, Mathematical Logic
Young, Peter R. – Library Administration & Management, 1989
Describes the activities of the federal government, state governments, and library associations in generating statistics on U.S. libraries, and discusses the problems that arise from a lack of coordination. Issues discussed include standardized definitions, scope and coverage, data collection and aggregation, data analysis and interpretation,…
Descriptors: Data Collection, Data Interpretation, Federal Government, Government Role
Morais, Ana; Neves, Isabel – 1991
Theories of learning and instruction usually are grounded in psychological and epistemological assumptions. However, these theories ignore the child in relation to his or her cultural and institutional context and ignore the schoolteacher from the social context that regulates the process of transmission and acquisition of knowledge and skills.…
Descriptors: Cognitive Processes, Data Interpretation, Elementary Secondary Education, Epistemology
Johnston, Denis F. – 1981
This guide is designed to assist those readers of "The Condition of Education" and similar reports who may lack experience or confidence in reading and understanding statistical information. It serves four purposes (1) identifies and describes the principal features of statistical tables and charts; (2) presents a few illustrations of…
Descriptors: Charts, Data Interpretation, Educational Indicators, Educational Research
Peer reviewedSchagen, 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
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
Harrison, Kathryn; Antweiler, Werner – Journal of Policy Analysis and Management, 2003
In the last decade, voluntary efforts by firms to reduce their environmental impacts have received increasing attention from both policymakers and scholars. This article discusses polluters' incentives to reduce their releases. In particular, using data from Canada's National Pollutant Release Inventory, it examines the impacts of conventional…
Descriptors: Foreign Countries, Federal Regulation, Accountability, Pollution
Cibulka, James G.; Derlin, Roberta L. – 1992
This paper analyzes trends in education expenditures in elementary and secondary schools, especially the extent to which special education costs are responsible for the overall upward expenditure trends. It reports on the limited national data available and on a longitudinal analysis of special education costs in Milwaukee, Wisconsin, from 1982-83…
Descriptors: Data Interpretation, Disabilities, Educational Finance, Educational Trends
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
Thompson, Bruce – 1994
Too few researchers understand what statistical significance testing does and does not do, and consequently their results are misinterpreted. This Digest explains the concept of statistical significance testing and discusses the meaning of probabilities, the concept of statistical significance, arguments against significance testing,…
Descriptors: Data Analysis, Data Interpretation, Decision Making, Effect Size
Attinasi, Louis C., Jr. – Association for Institutional Research, 1991
This article describes a qualitative research approach (in-depth phenomenological interviewing) and illustrates, through the example of an actual study, its potential for helping institutions of higher education understand their students. It argues that progress in understanding college student outcomes, such as persistence, has been retarded by…
Descriptors: Academic Persistence, Case Studies, College Students, Data Interpretation

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