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Peer reviewedYoung, Raymond J. – Community Services Catalyst, 1986
Describes a study conducted in southeastern Washington to determine public opinion regarding several educational options. Compares study results obtained through structured interviews with adult residents at a randomly selected sample of households with results obtained by mailing questionnaires to all remaining households in the area. (AYC)
Descriptors: Community Attitudes, Community Surveys, Comparative Analysis, Educational Attitudes
Cook, Tony; Rushton, Brian S. – Science Software Quarterly, 1984
Reviews a computer-assisted learning package (available from CONDUIT) which introduces survey and sampling techniques by pretending that the user is a pollster asking one of six questions of a more or less political nature. Documentation and performance are rated fair while ease of use is considered excellent. (JN)
Descriptors: Computer Assisted Instruction, Computer Software, Higher Education, Research Methodology
Peer reviewedMontmarquette, Claude; Houle, Rachel – Journal of Economic Education, 1986
Some sample data used in economic education research may be biased because missing observations may not be random. The authors explain a technique for estimating the relationship between students who fail to take standardized tests (the missing observations) and a core of general variables that might explain this behavior. (Author)
Descriptors: Attitudes, Economic Research, Economics Education, Educational Assessment
Peer reviewedKrzanowski, Wojtek J.; Woods, Anthony J. – Language Testing, 1984
Discusses the concept of reliability in language testing and considers several simple ANOVA (analysis of variance) models which can be used to define and estimate reliability coefficients. Summarizes the main statistical results associated with the commonly used measurements of reliability. Presents results likely to be of use to language testers.…
Descriptors: Analysis of Variance, Language Skills, Language Tests, Sampling
Peer reviewedSudman, Seymour; Bradburn, Norman – New Directions for Program Evaluation, 1984
Situations in which mailed questionnaires are most appropriate are identified. Population variables, characteristics of questionnaires, and social desirability variables are examined in depth. (Author)
Descriptors: Attitude Measures, Evaluation Methods, Program Evaluation, Research Methodology
Peer reviewedHinkle, Dennis E.; Oliver, J. Dale – Educational and Psychological Measurement, 1983
In this paper, tables for the appropriate sample sizes are presented and discussed in the context that the determination of the effect size must precede the determination of the sample size. (Author/PN)
Descriptors: Effect Size, Research Methodology, Research Needs, Research Problems
Peer reviewedHedges, Larry V. – Journal of Educational Statistics, 1984
If the quantitative result of a study is observed only when the mean difference is statistically significant, the observed mean difference, variance, and effect size are biased estimators of corresponding population parameters. The exact distribution of sample effect size and the maximum likelihood estimator of effect size are derived. (Author/BW)
Descriptors: Effect Size, Estimation (Mathematics), Maximum Likelihood Statistics, Meta Analysis
Peer reviewedOrwin, Robert G. – Journal of Educational Statistics, 1983
Rosenthan's (1979) concept of fail-safe N has thus far been applied to probability levels exclusively. This note introduces a fail-safe N for effect size. (Author)
Descriptors: Effect Size, Meta Analysis, Research Design, Research Problems
Keogh, Barbara K.; MacMillan, Donald L. – Exceptional Education Quarterly, 1983
Sampling problems related to the use of system-identified subjects in special education research are considered. Differences in criteria and selection of mildly handicapped students have resulted in limited generalizability of findings. Among suggested approaches are using rationally defined subgroups, cluster analysis, and marker variables.…
Descriptors: Disability Identification, Elementary Secondary Education, Mild Disabilities, Research Methodology
Ingels, Steven J.; Pratt, Daniel J.; Rogers, James E.; Siegel, Peter H.; Stutts, Ellen S. – National Center for Education Statistics, 2005
This report provides guidance and documentation for users of the public release for the combined base-year and first follow-up data of the Education Longitudinal Study of 2002 (ELS:2002). It provides extensive documentation of the content of the data files and how to access and manipulate them. Chapter 1 serves as an introduction to ELS:2002. It…
Descriptors: Guides, Data Processing, Data Collection, Longitudinal Studies
Earley, Mark A. – 2001
This paper presents a summary of action research investigating statistics students' understandings of the sampling distribution of the mean. With four sections of an introductory Statistics in Education course (n=98 students), a computer simulation activity (R. delMas, J. Garfield, and B. Chance, 1999) was implemented and evaluated to show…
Descriptors: Action Research, College Students, Computer Simulation, Higher Education
Cantrell, Catherine E. – 1997
This paper discusses the limitations of Classical Test Theory, the purpose of Item Response Theory/Latent Trait Measurement models, and the step-by-step calculations in the Rasch measurement model. The paper explains how Item Response Theory (IRT) transforms person abilities and item difficulties into the same metric for test-independent and…
Descriptors: Ability, Difficulty Level, Estimation (Mathematics), Item Response Theory
National Center for Education Statistics (ED), Washington, DC. – 1996
The National Household Education Survey (NHES) is a data collection system of the National Center for Education Statistics (NCES) designed to address a wide range of education-related issues. It is a telephone survey of the noninstitutionalized civilian population. The 1991 NHES included two topical components: Early Childhood Education (ECE) and…
Descriptors: Adult Education, Data Collection, Early Childhood Education, Interviews
National Center for Education Statistics (ED), Washington, DC. – 1996
The National Household Education Survey (NHES) is a data collection system of the National Center for Education Statistics (NCES) designed to address a wide range of education-related issues. It is a telephone survey of the noninstitutionalized civilian population. In 1995, the NHES was designed to cover two topical components, Early Childhood…
Descriptors: Adult Education, Data Collection, Early Childhood Education, Interviews
Harmon, Michelle G.; And Others – 1994
The stability of a two-factor model recently proposed for the Gibb Experimental Test of Testwiseness was assessed, using confirmatory factor analysis. Designed to measure seven specific testwiseness skills with 10 items per skill, Gibb's test has been shown to discriminate between persons trained and untrained in selected testwiseness skills. Such…
Descriptors: Factor Structure, Higher Education, Models, Sampling


