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Scheetz, James P.; Forsyth, Robert A. – 1977
Empirical evidence is presented related to the effects of using a stratified sampling of items in multiple matrix sampling on the accuracy of estimates of the population mean. Data were obtained from a sample of 600 high school students for a 36-item mathematics test and a 40-item vocabulary test, both subtests of the Iowa Tests of Educational…
Descriptors: Achievement Tests, Difficulty Level, Item Analysis, Item Sampling
Roschelle, Jeremy; Tatar, Deborah; Hedges, Larry; Shechtman, Nicole – Society for Research on Educational Effectiveness, 2010
One purpose of educational research is to provide information about the likely impact of interventions or treatments on policy-relevant populations of students. Randomized experiments are useful for estimating the causal effects of interventions on the students in schools that participate in the experiments. Unfortunately, the samples of schools…
Descriptors: African Americans, Middle Schools, Educational Research, Scaling
Pandey, Tej N. – 1978
The concept under investigation was the reliability of estimates of mean scores of groups under various assumptions of multiple-matrix sampling when reliabilities are computed according to procedures based on generalizability theory. Four different cases were compared with respect to the generalizability coefficients depending upon whether pupils…
Descriptors: Achievement Tests, Analysis of Variance, Basic Skills, Elementary Secondary Education
Feldt, Leonard S.; And Others – 1986
Rigorous comparison of the reliability coefficients of several tests or measurement procedures requires a sampling theory for the coefficients. This paper summarizes the important aspects of the sampling theory for Cronbach's (1951) coefficient alpha--a widely used internal consistency coefficient. This theory enables researchers to test a…
Descriptors: Confidence Testing, Measurement Techniques, Sampling, Statistical Analysis
Peer reviewedFishburn, Peter C.; Gehrlein, William V. – Psychometrika, 1974
Descriptors: Goodness of Fit, Psychometrics, Sampling, Simulation
Bryant, N. Dale – 1970
The paper points out that, in working with special groups, correlations are often distorted because the variability of the measures being correlated are restricted in the groups. Presented is a formula whereby a Pearson product-moment correlation can be corrected for restrictions in range in situations where the basis of selection is unmeasured,…
Descriptors: Comparative Analysis, Correlation, Research Methodology, Sampling
Pandey, Tej N.; Hubert, Lawrence J. – 1974
This investigation had two major purposes. The first was to explore the use of an inferential technique called Tukey's Jackknife in establishing a confidence interval about cooefficient alpha reliability. The second purpose was to study the robustness of the Feldt and the jackknife procedures when the data fails to satisfy usual normality…
Descriptors: Comparative Analysis, Item Sampling, Statistical Analysis, Statistics
Peer reviewedBusk, Patricia L.; Marascuilo, Leonard A. – Journal of Experimental Education, 1987
Large sample univariate methods are presented. These methods compare effect sizes within a single study between independent groups of different subjects on a single dependent measurement and independent groups that are assessed on the same dependent variable while using a different test. (TJH)
Descriptors: Educational Research, Effect Size, Sample Size, Sampling
Peer reviewedElshout, Jan J.; Roe, Robert A. – Educational and Psychological Measurement, 1973
Paper covers the first part of a study that is concerned with the inferential accuracy of the formulas that have been developed to correct'' several sample statistics for the effects of restriction of range. (Authors)
Descriptors: Mathematical Applications, Measurement Techniques, Sampling, Statistical Analysis
Marlin, Marjorie; Biddle, Bruce J. – Comp Educ Rev, 1970
Data processing problems encountered in a comparative study of teacher roles are discussed. (DB)
Descriptors: Analysis of Variance, Data Processing, Questionnaires, Sampling
Peer reviewedSirotnik, Ken – Educational and Psychological Measurement, 1970
Descriptors: Analysis of Variance, Item Sampling, Mathematical Models, Statistical Analysis
Games, Paul A. – Educ Psychol Meas, 1969
One in a series of nine articles in a section entitled, "Electronic Computer Program and Accounting Machine Procedures.
Descriptors: Computer Programs, Data Analysis, Programing Languages, Sampling
Peer reviewedBurnett, J. Dale – Canadian Journal of Education, 1983
Illustrates the basic concepts of the loglinear approach to research analysis. Explains what type of research questions are answerable and what type of data will lend itself to a loglinear analysis approach. Three educational research examples illustrate this concept. (TLJ)
Descriptors: Data, Educational Researchers, Models, Research Tools
Peer reviewedKeyfitz, Nathan – Society, 1997
Discusses the pros and cons of sampling to improve the census versus the traditional methods of census taking, and the problems that changes in procedure can create. Also discusses chronic problems in census taking, regardless of procedural methods used, and observations on how to lessen their impact. (GR)
Descriptors: Census Figures, Computation, Criticism, Sampling
Peer reviewedReed, Julian A.; Phillips, D. Allen – Journal of American College Health, 2005
The authors used stratified random sampling procedures to investigate the relationships among physical activity (PA), the proximity of exercise facilities, and the quantity of home exercise equipment in a sample of 411 undergraduates. To examine the data they collected from the modified Godin Leisure-Time Exercise Questionnaire and the Home…
Descriptors: Measures (Individuals), Statistical Analysis, Proximity, Family Environment


