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Johnston, Lloyd D.; O'Malley, Patrick M.; Bachman, Jerald G.; Schulenberg, John E. – National Institute on Drug Abuse (NIDA), 2010
Monitoring the Future (MTF), now in its 35th year, has become one of the nation's most relied-upon sources of information on changes taking place in licit and illicit psychoactive drug use among American adolescents, college students, young adults, and more recently, middle-aged adults. During the last three and a half decades, the study has…
Descriptors: College Students, Intervals, Narcotics, Drug Use
OECD Publishing (NJ1), 2009
The Organisation for Economic Cooperation and Development's (OECD's) Programme for International Student Assessment (PISA) surveys, which take place every three years, have been designed to collect information about 15-year-old students in participating countries. PISA examines how well students are prepared to meet the challenges of the future,…
Descriptors: Policy Formation, Scaling, Academic Achievement, Interrater Reliability
Johnston, Lloyd D.; O'Malley, Patrick M.; Bachman, Jerald G.; Schulenberg, John E. – National Institute on Drug Abuse (NIDA), 2009
The Monitoring the Future study has provided the nation with a window into the important, but largely hidden, problem behaviors of illicit drug use, alcohol use, and tobacco use. It has provided a clearer view of the changing topography of these problems among adolescents and adults, a better understanding of the dynamics of factors that drive…
Descriptors: Topography, Student Attitudes, Narcotics, Incidence
Characteristics of the Healthy Brain Project Sample: Representing Diversity among Study Participants
Bryant, Lucinda L.; Laditka, James N.; Laditka, Sarah B.; Mathews, Anna E. – Gerontologist, 2009
Purpose: Description of study participants and documentation of the desired diversity in the Prevention Research Centers Healthy Aging Research Network's Workgroup on Promoting Cognitive Health large multisite study designed to examine attitudes about brain health, behaviors associated with its maintenance, and information-receiving preferences…
Descriptors: Participant Characteristics, Physical Activities, Intervention, Focus Groups
Eignor, Daniel R.; And Others – 1995
Two recent simulation studies were conducted to aid in the diagnosis and interpretation of equating differences found between random and matched (nonrandom) samples for four commonly used equating procedures: (1) Tucker; (2) Levine equally reliable; (3) Chained equipercentile observed-score; and (4) three-parameter, item response theory true-score…
Descriptors: Criteria, Equated Scores, Item Response Theory, Raw Scores
Wang, Lin; Fan, Xitao – 1997
Standard statistical methods are used to analyze data that is assumed to be collected using a simple random sampling scheme. These methods, however, tend to underestimate variance when the data is collected with a cluster design, which is often found in educational survey research. The purposes of this paper are to demonstrate how a cluster design…
Descriptors: Cluster Analysis, Educational Research, Error of Measurement, Estimation (Mathematics)
Longford, N. T. – 1995
Model-based methods for estimating the population mean in stratified clustered sampling are described. The importance of adjusting the weights is assessed by an approach considering the sampling variation of the adjusted weights and its (variance) components. The resulting estimators are more efficient than the jackknife estimators for a variety…
Descriptors: Data Analysis, Estimation (Mathematics), Models, National Surveys
Wang, Lin; Fan, Xitao – 1998
The popularity of the sample survey in educational research makes it necessary for consumers to tell a good study from a poor one. Several sources were identified that gave advice on how to evaluate a sample design. The sources are either limited or too extensive to use in a practical sense. The purpose of this paper is to recommend six important…
Descriptors: Criteria, Data Collection, Educational Research, Evaluation Methods
Daniel, Larry G. – 1992
Some years ago, B. Efron and his colleagues developed bootstrap resampling methods as a way of estimating the degree to which statistical results will replicate across variations in sample. A basic problem in the multivariate use of bootstrap procedures involves the requirement that the results across resamplings must be rotated to best fit in a…
Descriptors: Adults, Estimation (Mathematics), Factor Analysis, Factor Structure
Fan, Xitao – 1994
This paper empirically and systematically assessed the performance of bootstrap resampling procedure as it was applied to a regression model. Parameter estimates from Monte Carlo experiments (repeated sampling from population) and bootstrap experiments (repeated resampling from one original bootstrap sample) were generated and compared. Sample…
Descriptors: Estimation (Mathematics), Monte Carlo Methods, Regression (Statistics), Sample Size
Chang, Hua-Hua; Stout, William – 1991
The empirical Bayes modeling approach--latent ability random sampling in the item response theory (IRT) context--to the IRT modeling of psychological tests is described. Under the usual empirical Bayes unidimensional IRT modeling approach, the posterior distribution of examinee ability given test response is approximately normal for a long test.…
Descriptors: Ability, Bayesian Statistics, Equations (Mathematics), Item Response Theory
Kolen, Michael J. – 1984
Large sample standard errors for the Tucker method of linear equating under the common item nonrandom groups design are derived under normality assumptions as well as under less restrictive assumptions. Standard errors of Tucker equating are estimated using the bootstrap method described by Efron. The results from different methods are compared…
Descriptors: Certification, Comparative Analysis, Equated Scores, Error of Measurement
Peer reviewedAlf, Edward F., Jr.; Abrahams, Norman M. – Psychometrika, 1975
In applied and experimental research, it has been demonstrated that the extreme groups procedure is more powerful than the standard correlational approach for some values of the correlation and extreme group size. Methods are provided for using the covariance information that is usually discarded in the classical extreme groups approach.…
Descriptors: Comparative Analysis, Correlation, Experimental Groups, Mathematical Models
Peer reviewedSwain, A. J. – Psychometrika, 1975
Considers a class of estimation procedures for the factor model. The procedures are shown to yield estimates possessing the same asymptotic sampling properties as those from estimation by maximum likelihood or generalized last squares, both special members of the class. General expressions for the derivatives needed for Newton-Raphson…
Descriptors: Factor Analysis, Least Squares Statistics, Matrices, Maximum Likelihood Statistics
Peer reviewedSchmidt, Mary Gwynne – Gerontologist, 1975
Discusses the idea that with larger cohorts of the very old, subjects in their 80s and 90s will be increasingly sought as respondents. Points out various steps that need to be taken to assure that this older group will be represented by the ailing as well as the healthy community residents. (Author/EJT)
Descriptors: Evaluation Methods, Individual Needs, Interviews, Older Adults

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