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Pike, Gary R.; Smart, John C.; Kuh, George D.; Hayek, John C. – Research in Higher Education, 2006
The few studies focusing on the relationships between higher education expenditures and student outcomes have produced contradictory results. This study hypothesized that the lack of consistent relationships is a function of the fact that the effects of expenditures on outcomes are mediated by student engagement. Furthermore, it is expected that…
Descriptors: Expenditures, Higher Education, Outcomes of Education, Sampling
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Ruscio, John; Ruscio, Ayelet Meron; Meron, Mati – Multivariate Behavioral Research, 2007
Meehl's taxometric method was developed to distinguish categorical and continuous constructs. However, taxometric output can be difficult to interpret because expected results for realistic data conditions and differing procedural implementations have not been derived analytically or studied through rigorous simulations. By applying bootstrap…
Descriptors: Sampling, Equated Scores, Data Interpretation, Inferences
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Dymond, Stacy K. – Remedial and Special Education, 2007
The purpose of this study was to determine whether key elements of high school service learning programs (HSSLPs) cited in the literature were viewed as important by stakeholders in HSSLPs that included students with and without disabilities. Focus groups were conducted with five inclusive HSSLPs selected through purposeful sampling procedures.…
Descriptors: Program Evaluation, Disabilities, Sampling, Inclusive Schools
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Shernoff, David Jordan; Vandell, Deborah Lowe – Journal of Youth and Adolescence, 2007
Middle school students' experiences at after-school programs were compared as they participated in different types of activities and with different social partners. The students (N = 165) attended eight programs in three Midwestern states. A total of 1,596 experiences were randomly sampled using the Experience Sampling Method (ESM) during 1 week…
Descriptors: Motivation, Enrichment Activities, After School Programs, Middle School Students
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Berry, Brent – Evaluation Review, 2007
Risks of life on the street caused by inclement weather, harassment, and assault threaten the unsheltered homeless population. We address some challenges of enumerating the street homeless population by testing a novel capture-recapture (CR) estimation approach that models individuals' intermittent daytime visibility. We tested walking and…
Descriptors: Probability, Identification, Sampling, Homeless People
Bovaird, James A., Ed.; Geisinger, Kurt F., Ed.; Buckendahl, Chad W., Ed. – APA Books, 2011
Educational assessment and, more broadly, educational research in the United States have entered into an era characterized by a dramatic increase in the prevalence and importance of test score use in accountability systems. This volume covers a selection of contemporary issues about testing science and practice that impact the nation's public…
Descriptors: Graduate Students, Test Use, Student Placement, Educational Research
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Runo, Mary; Kargu, Geoffrey; Mugo, John K. – Journal of the American Academy of Special Education Professionals, 2010
The study aimed at finding out whether teachers can identify the courses of reading disabilities in learners. It intended to establish whether teachers have adequate knowledge of identifying learners with reading disabilities, determine the proportion of non-readers in grade five. It also investigated the existing methods and materials teachers…
Descriptors: Teacher Attitudes, Questionnaires, Interviews, Foreign Countries
Johnston, Lloyd D.; O'Malley, Patrick M.; Bachman, Jerald G.; Schulenberg, John E. – National Institute on Drug Abuse (NIDA), 2010
The Monitoring the Future (MTF) study is an ongoing series of national surveys of American adolescents and adults that has provided the nation with a vital window into the important, but largely hidden, problem behaviors of illegal drug use, alcohol use, tobacco use, anabolic steroid use, and psychotherapeutic drug use. For more than a third of a…
Descriptors: Narcotics, Incidence, Dropouts, Drug Abuse
Gillmore, Gerald M. – 1979
It is argued in this paper that generalizability theory provides a uniquely useful framework for defining and quantifying the dependability of data for decision making. It does so by requiring careful specification of the conditions of measurement and the anticipated sources of variation in the results of the measurement procedure. A distinction…
Descriptors: Analysis of Variance, Criterion Referenced Tests, Decision Making, Educational Assessment
Lewis, Charles; Willingham, Warren W. – 1995
As strongly suggested by recent work, patterns of gender difference can change because of changes in the selectivity of the sample itself. This is a statistical influence connected with the distributions of female and male scores, rather than a substantive influence related to demographic characteristics of the sample such as age or ethnicity. It…
Descriptors: Age Differences, Educational Assessment, Models, Sampling
Arnold, Margery E. – 1996
Sampling error refers to variability that is unique to the sample. If the sample is the entire population, then there is no sampling error. A related point is that sampling error is a function of sample size, as a hypothetical example illustrates. As the sample statistics more and more closely approximate the population parameters, the sampling…
Descriptors: Error of Measurement, Research Methodology, Sample Size, Sampling
Lawrence, Ida M.; Dorans, Neil J. – 1988
This paper addresses the sample invariant properties of four equating methods (Tucker and Levine linear equating, equipercentile equating through an anchor test, and three-parameter item response theory equating). Data from several national administrations of the Scholastic Aptitude Test served as the source of data for the study. Equating results…
Descriptors: Ability, College Entrance Examinations, Comparative Analysis, Equated Scores
Holland, Paul W. – 1989
A simple technique, developed by A. Phillips (1987) is used to approximate the covariance between the Mantel-Haenszel log-odds-ratio estimator for a 2 x 2 x k table and the sample marginal proportions. These results are then applied to obtain an approximate variance estimate of an adjusted risk difference based on the Mantel-Haenszel odds-ratio…
Descriptors: Difficulty Level, Estimation (Mathematics), Item Bias, Risk
Yu, Chong Ho; And Others – 1995
Central limit theorem (CLT) is considered an important topic in statistics, because it serves as the basis for subsequent learning in other crucial concepts such as hypothesis testing and power analysis. There is an increasing popularity in using dynamic computer software for illustrating CLT. Graphical displays do not necessarily clear up…
Descriptors: Computer Simulation, Computer Software, Hypothesis Testing, Identification
Rennie, Kimberly M. – 1997
This paper explains the underlying assumptions of the sampling distribution and its role in significance testing. To compute statistical significance, estimates of population parameters must be obtained so that only one sampling distribution is defined. A sampling distribution is the underlying distribution of a statistic. Sampling distributions…
Descriptors: Analysis of Variance, Estimation (Mathematics), Sample Size, Sampling
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