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Graeber, Anna O.; Valli, Linda; Newton, Kristie Jones – Rowman & Littlefield Publishers, Inc., 2011
Engaging students in worthwhile learning requires more than a knowledge of underlying principles of good teaching. It demands considerable practice as well as images of what good teaching in particular situations and for particular purposes might look like. This volume provides these images. These cases were written from authentic, unrehearsed…
Descriptors: Instructional Effectiveness, Grade 5, Elementary School Teachers, Mathematics Instruction
National Centre for Vocational Education Research (NCVER), 2010
The Longitudinal Surveys of Australian Youth (LSAY) is a research program that tracks young people as they move from school into further study, work and other destinations. This "User guide" has been developed for users of the LSAY data. The guide endeavours to consolidate existing technical documentation and other relevant information…
Descriptors: Longitudinal Studies, Youth, Foreign Countries, Guides
Carlson, Elaine; Bitterman, Amy; Daley, Tamara – National Center for Special Education Research, 2010
This report uses data from the Pre-Elementary Education Longitudinal Study (PEELS) to describe access for young children with disabilities in two specific domains: community activities, including extracurricular activities and family recreation, and kindergarten classroom experiences. While PEELS is a broad, descriptive study, the analyses…
Descriptors: Educational Strategies, Neighborhoods, Extracurricular Activities, Elementary Education
Tuttle, Christina Clark; Teh, Bing-ru; Nichols-Barrer, Ira; Gill, Brian P.; Gleason, Philip – Mathematica Policy Research, Inc., 2010
In this set of four supplemental tables, the authors compare the baseline test scores of the treatment and matched control group samples observed in each year after KIPP entry (outcome years 1 to 4). As discussed in Chapter III, the authors used an iterative propensity score estimation procedure to calculate each student's probability of entering…
Descriptors: Control Groups, Middle Schools, Student Characteristics, Tables (Data)
Williams, Alisha; May, David C.; Wood, Peter B. – Journal of Offender Rehabilitation, 2008
Recent work has demonstrated that many offenders will choose to serve prison rather than any amount of a community-based sanction. This primarily quantitative research has found that offender-generated exchange rates are influenced by a wide variety of experiences and characteristics. Missing from this literature is a qualitative evaluation of…
Descriptors: Correctional Institutions, Statistical Analysis, Qualitative Research, Comparative Analysis
Adolph, Karen E.; Robinson, Scott R.; Young, Jesse W.; Gill-Alvarez, Felix – Psychological Review, 2008
Developmental trajectories provide the empirical foundation for theories about change processes during development. However, the ability to distinguish among alternative trajectories depends on how frequently observations are sampled. This study used real behavioral data, with real patterns of variability, to examine the effects of sampling at…
Descriptors: Intervals, Child Development, Sampling, Infant Behavior
Jen der Pan, Peter; Deng, Liang-Yu F.; Tsai, Shiou-Ling – Research on Social Work Practice, 2008
The purpose of this study is to examine the effects of reflective counseling group supervision (RCGS) for military counselors. A convenience sampling method is adopted. Twenty-two military counselors participate in this study. Both qualitative and quantitative research methods are used for collecting and analyzing data. The results support our…
Descriptors: Research Methodology, Supervision, Counselor Training, Foreign Countries
Moy, Mabel L. Y.; Barcikowski, Robert S. – 1973
Using a computer-based Monte Carlo approach to generate item responses, the results of this study indicate that, when item discrimination indices are considered, item-examinee sampling procedures having the same number of observations have different standard errors in estimating both test mean and test variance. With certain types of tests, a…
Descriptors: Error of Measurement, Evaluation Methods, Item Sampling, Monte Carlo Methods
Peer reviewedBrown, Morton B. – Psychometrika, 1975
Estimates of conditional uncertainty, contingent uncertainty, and normed modifications of contingent uncertainity have been proposed for the two-way contingency table. The asymptotic standard errors of the estimates are derived. (Author)
Descriptors: Data Analysis, Sampling, Statistical Analysis
Peer reviewedSubkoviak, Michael J. – Educational and Psychological Measurement, 1974
Descriptors: Comparative Analysis, Sampling, True Scores
Peer reviewedLevy, Kenneth J. – Psychometrika, 1975
Descriptors: Correlation, Models, Sampling, Transformations (Mathematics)
Peer reviewedMontanelli, Richard G. – Educational and Psychological Measurement, 1975
Descriptors: Computer Programs, Correlation, Matrices, Sampling
Peer reviewedAgresti, Alan; Wackerly, Dennis – Psychometrika, 1977
Exact conditional tests of independence in cross-classification tables are formulated based on chi square and other statistics with stronger operational interpretations, such as some nominal and ordinal measures of association. Guidelines for table dimensions and sample sizes for which the tests are economically implemented on a computer are…
Descriptors: Expectancy Tables, Hypothesis Testing, Sampling
Peer reviewedJaneksela, Galan M.; Miller, Martin G. – Adolescence, 1985
Studied thirty variables that may affect crime using cross-validation procedures. When Sample 1 predictions were subjected to validation in Sample 2, the number of predictors was reduced from seven to four for delinquency, from five to four for criminal offenses, and from five to three for juvenile status offenses. (BH)
Descriptors: Crime, Delinquency, Influences, Prediction
Peer reviewedBackhouse, John K. – Educational Research, 1984
Discusses the suitability of randomization tests when working with a nonrandom sample. Offers a rationale for the noninferential use of statistical tests. (JOW)
Descriptors: Research Methodology, Sampling, Statistical Analysis

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