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Peer reviewedHuffman, Stephanie; Thurman, Glenda; Thomas, Leisa Kim – Reading Improvement, 2005
This study examines the effects of block scheduling on secondary school library media centers across the state of Arkansas. Specifically, this study addresses the impact that block scheduling has on the school library media center in the areas of time, resources, and productivity for both students and library media staff. This study is needed…
Descriptors: Program Effectiveness, Statistical Analysis, Scheduling, Elementary Secondary Education
Kane, Rosalie A.; Chan, Jane; Kane, Robert L. – Gerontologist, 2007
Purpose: This article assesses the state of research on assisted living (AL) from 1989 to May 2004. Design and Methods: We undertook keyword searches for AL research and amplified these with searches of Web sites, conference proceedings, and follow-up inquiries. We annotated and coded the resultant items according to categories reflecting the…
Descriptors: Conferences (Gatherings), Research Methodology, Longitudinal Studies, Residential Care
Clark, Sheldon B.; Nichols, James O. – 1983
Survey data concerning teacher education program graduates were used to demonstrate the advantages of a stratified random sampling approach, with followup, relative to a one-shot mailing to an entire population. Sampling issues involved in such an approach are addressed, particularly with regard to quantifying the effects of nonresponse on the…
Descriptors: Case Studies, Followup Studies, Graduate Surveys, Higher Education
Nitko, Anthony J.; Hsu, Tse-chi – 1984
Item analysis procedures appropriate for domain-referenced classroom testing are described. A conceptual framework within which item statistics can be considered and promising statistics in light of this framework are presented. The sampling fluctuations of the more promising item statistics for sample sizes comparable to the typical classroom…
Descriptors: Computer Assisted Testing, Criterion Referenced Tests, Item Analysis, Microcomputers
Folsom, Ralph E.; Williams, Rick L. – 1982
The National Assessment of Educational Progress (NAEP), like most large national surveys, employs a complex stratified multistage unequal probability sample. The design provides a rigorous justification for extending survey results to the entire U.S. target population. Developments in the analysis of data from complex surveys which provide a…
Descriptors: Cluster Analysis, Educational Assessment, Hypothesis Testing, Mathematics Achievement
Thrash, Jimmie Ford – 1970
To justify the use of a particular teaching method it should be followed up with a measurement of student achievement. Thus, the primary objective of this study was to determine whether the project method of instruction is accomplishing its task of training young men and women to enter the world of work without the benefit of first hand experience…
Descriptors: Achievement Rating, Comparative Analysis, Distributive Education, High School Students
Joreskog, Karl G. – 1970
This paper is concerned with the study of similarities and differences in factor structures between different groups. A common situation is when a battery of tests has been administered to samples of examinees from several populations. A very general model is presented, in which any parameter in the factor analysis models (factor loadings, factor…
Descriptors: Factor Analysis, Factor Structure, Goodness of Fit, Hypothesis Testing
Stanley, Julian C.; Livingston, Samuel A. – 1971
Besides the ubiquitous Pearson product-moment r, there are a number of other measures of relationship that are attenuated by errors of measurement and for which the relationship between true measures can be estimated. Among these are the correlation ratio (eta squared), Kelley's unbiased correlation ratio (epsilon squared), Hays' omega squared,…
Descriptors: Analysis of Variance, Cluster Grouping, Correlation, Data Analysis
Smith, Kenneth F. – 1975
The National Food and Agriculture Council of the Philippines regularly requires rapid feedback data for analysis, which will assist in monitoring programs to improve and increase the production of selected crops by small scale farmers. Since many other development programs in various subject matter areas also require similar statistical…
Descriptors: Data Analysis, Data Collection, Guides, Measurement
Rhodes-Kline, Anne K. – 1997
A methodology for estimating descriptive statistics, specifically the mean and the variance, from a sample that is not normally drawn is described. The method involves breaking the sample down into subgroups and weighting the descriptive statistics associated with each subgroup by the proportion of the population that the subgroup represents. This…
Descriptors: Early Intervention, Primary Education, Reading Achievement, Reading Improvement
Peer reviewedGillmore, Gerald M. – Research in Higher Education, 1980
The critical issues, in a dispute between Romney's interpretation of his results and Gillmore's interpretation, are described as whether the teacher factor should be treated as fixed or random in the analysis of variance model and what conclusions can be drawn from the results of the study. (Author/MLW)
Descriptors: Data Analysis, Data Collection, Higher Education, Research Methodology
Peer reviewedLivingston, Samuel A.; And Others – Applied Measurement in Education, 1990
Combinations of five methods of equating test scores and two methods of selecting samples of students for equating were compared for accuracy, using data from the administration of the Scholastic Aptitude Test to more than 115,000 students. Implications for research and practice are discussed. (SLD)
Descriptors: College Entrance Examinations, Equated Scores, Evaluation Methods, High School Students
Peer reviewedPenfield, Douglas A. – Journal of Experimental Education, 1994
Type I error rate and power for the t test, Wilcoxon-Mann-Whitney test, van der Waerden Normal Scores, and Welch-Aspin-Satterthwaite (W) test are compared for two simulated independent random samples from nonnormal distributions. Conditions under which the t test and W test are best to use are discussed. (SLD)
Descriptors: Monte Carlo Methods, Nonparametric Statistics, Power (Statistics), Sample Size
Kelley, Ken – Educational and Psychological Measurement, 2005
The standardized group mean difference, Cohen's "d", is among the most commonly used and intuitively appealing effect sizes for group comparisons. However, reporting this point estimate alone does not reflect the extent to which sampling error may have led to an obtained value. A confidence interval expresses the uncertainty that exists between…
Descriptors: Intervals, Sampling, Integrity, Effect Size
Lunneborg, Clifford E. – 1983
The wide availability of large amounts of inexpensive computing power has encouraged statisticians to explore many approaches to a basis for inference. This paper presents one such "computer-intensive" approach: the bootstrap of Bradley Efron. This methodology fits between the cases where it is assumed that the form of the distribution…
Descriptors: Analysis of Variance, Error of Measurement, Estimation (Mathematics), Hypothesis Testing

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