NotesFAQContact Us
Collection
Advanced
Search Tips
Showing 2,416 to 2,430 of 5,340 results Save | Export
Peer reviewed Peer reviewed
LeBlanc, William G.; Williams, Richard H. – Educational and Psychological Measurement, 1997
A large sample technique attributed to L. Marascuilo, based on the multiple comparison technique of H. Scheffe, was programmed with the Statistical Analysis System (SAS), focusing on comparisons among independent binomial samples. Use of the SAS program is discussed. (SLD)
Descriptors: Comparative Analysis, Computer Software, Sample Size, Sampling
Peer reviewed Peer reviewed
O'Neill, Edward T.; Lavoie, Brian F.; McClain, Patrick D. – Journal of Library Administration, 2001
Describes the Web Characterization Project that characterizes the use of metadata in Web documents by extracting a valid sample. Discusses Web resource discovery and description; sampling methods; metadata and embedded document description; HTML; Dublin Core metadata elements; and home pages versus internal Web pages. (Author/LRW)
Descriptors: Measurement Techniques, Metadata, Sampling, World Wide Web
Peer reviewed Peer reviewed
Raju, Nambury S.; Brand, Paul A. – Applied Psychological Measurement, 2003
Proposed a new asymptotic formula for estimating the sampling variance of a correlation coefficient corrected for unreliability and range restriction. A Monte Carlo simulation study of the new formula results in several positive conclusions about the new approach. (SLD)
Descriptors: Correlation, Monte Carlo Methods, Reliability, Sampling
Peer reviewed Peer reviewed
Lambert, Zarrel V.; And Others – Multivariate Behavioral Research, 1989
Bootstrap methodology is presented that yields approximations of the sampling variation of redundancy estimates while assuming little a priori knowledge about the distributions of these statistics. Results of numerical demonstrations suggest that bootstrap confidence intervals may offer substantial assistance in interpreting the results of…
Descriptors: Estimation (Mathematics), Predictor Variables, Sampling, Statistical Analysis
Peer reviewed Peer reviewed
Feldt, Leonard S. – Applied Measurement in Education, 1990
Sampling theory for the intraclass reliability coefficient, a Spearman-Brown extrapolation of alpha to a single measurement for each examinee, is less recognized and less cited than that of coefficient alpha. Techniques for constructing confidence intervals and testing hypotheses for the intraclass coefficient are presented. (SLD)
Descriptors: Hypothesis Testing, Measurement Techniques, Reliability, Sampling
Peer reviewed Peer reviewed
Nthangeni, Mbulaheni; Algina, James – Educational and Psychological Measurement, 2001
Examined Type I error rates and power for four tests for treatment control studies in which a larger treatment mean may be accompanied by a larger treatment variance and examined these aspects of the independent samples "t" test and the Welch test. Evaluated each test and suggested conditions for the use of each approach. (SLD)
Descriptors: Control Groups, Power (Statistics), Research Design, Sampling
Peer reviewed Peer reviewed
Direct linkDirect link
Cascella, Paul W.; Colella, Catherine S. – Focus on Autism and Other Developmental Disabilities, 2004
This study utilized a rating scale and random sampling of Connecticut school speech-language pathologists about their preprofessional education and current knowledge of autism spectrum disorders (ASD). The participants had a minimal amount of preprofessional academic or clinical preparation in ASD, and no differences were found in how…
Descriptors: Pathology, Educational Assessment, Sampling, Rating Scales
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Van de Kerckhove, Wendy; Montaquila, Jill M.; Carver, Priscilla R.; Brick, J. Michael – National Center for Education Statistics, 2009
The National Household Education Surveys Program (NHES) is a random digit dialing (RDD) survey program developed by the National Center for Education Statistics (NCES) in the Institute of Education Sciences, U.S. Department of Education. The surveys are designed to help NCES collect data directly from households about important education topics.…
Descriptors: Family (Sociological Unit), Exhibits, Sampling, Labor Force
Ministerial Council on Education, Employment, Training and Youth Affairs (NJ1), 2009
This report presents the findings from the second National Assessment Program--Civics and Citizenship, conducted under the auspices of the national council of education ministers, the Ministerial Council on Education, Employment, Training and Youth Affairs (MCEETYA). The National Assessment Program--Civics and Citizenship measures Year 6 and Year…
Descriptors: Foreign Countries, National Competency Tests, Educational Testing, National Programs
Peer reviewed Peer reviewed
Direct linkDirect link
Schumacker, Randall E.; Smith, Everett V., Jr. – Educational and Psychological Measurement, 2007
Measurement error is a common theme in classical measurement models used in testing and assessment. In classical measurement models, the definition of measurement error and the subsequent reliability coefficients differ on the basis of the test administration design. Internal consistency reliability specifies error due primarily to poor item…
Descriptors: Measurement Techniques, Error of Measurement, Item Sampling, Item Response Theory
Peer reviewed Peer reviewed
Direct linkDirect link
Richardson, Alice – Journal of Statistics Education, 2007
The technique of distance sampling is widely used to monitor biological populations. This paper documents an in-class activity to introduce students to the concepts and the mechanics of distance sampling in a simple situation that is relevant to their own experiences. Preparation details are described. Variations and extensions to the activity are…
Descriptors: Sampling, Statistics, Instruction, Biology
Peer reviewed Peer reviewed
Direct linkDirect link
von Davier, Matthias; Sinharay, Sandip – Journal of Educational and Behavioral Statistics, 2007
Reporting methods used in large-scale assessments such as the National Assessment of Educational Progress (NAEP) rely on latent regression models. To fit the latent regression model using the maximum likelihood estimation technique, multivariate integrals must be evaluated. In the computer program MGROUP used by the Educational Testing Service for…
Descriptors: Simulation, Computer Software, Sampling, Data Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Ozechowski, Timothy J.; Turner, Charles W.; Hops, Hyman – Psychological Methods, 2007
This article demonstrates the use of mixed-effects logistic regression (MLR) for conducting sequential analyses of binary observational data. MLR is a special case of the mixed-effects logit modeling framework, which may be applied to multicategorical observational data. The MLR approach is motivated in part by G. A. Dagne, G. W. Howe, C. H.…
Descriptors: Probability, Young Adults, Sampling, Observation
Peer reviewed Peer reviewed
Direct linkDirect link
Torgerson, Carole J.; Torgerson, David J. – Educational Studies, 2007
Randomized controlled trials in educational research tend to be small. Small trials can have large, chance, imbalances in important covariates. For studies with sample sizes greater than 50, chance imbalances can be corrected using analysis of covariance; for small trials, however, statistical power is maximized if the trial is balanced and…
Descriptors: Educational Research, Statistical Analysis, Control Groups, Experimental Groups
Peer reviewed Peer reviewed
Direct linkDirect link
Flessner, Christopher A.; Woods, Douglas W.; Franklin, Martin E.; Keuthen, Nancy J.; Piacentini, John; Cashin, Susan E.; Moore, Phoebe S. – Behavior Modification, 2007
This article describes the development and initial psychometric properties of the Milwaukee Inventory for Styles of Trichotillomania-Child Version (MIST-C), a self-report scale designed to assess styles of hair pulling in children and adolescents diagnosed with trichotillomania (TTM). Using Internet sampling procedures, the authors recruited 164…
Descriptors: Measures (Individuals), Psychometrics, Sampling, Factor Analysis
Pages: 1  |  ...  |  158  |  159  |  160  |  161  |  162  |  163  |  164  |  165  |  166  |  ...  |  356