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Tanner-Smith, Emily E.; Lipsey, Mark W. – Peabody Journal of Education, 2014
There are many situations where random assignment of participants to treatment and comparison conditions may be unethical or impractical. This article provides an overview of propensity score techniques that can be used for estimating treatment effects in nonrandomized quasi-experimental studies. After reviewing the logic of propensity score…
Descriptors: Probability, Scores, Quasiexperimental Design, High Schools
Marnewick, Carl – Educational Studies, 2012
First-year students are still failing at an alarming rate. This is an international issue that universities face and there is currently no clear indication of the cause of the problem as universities move from being elite to providing mass education. This article examines the possible correlation between students' high school performance and…
Descriptors: Academic Achievement, Admission Criteria, Correlation, Mathematics Achievement
Roane, Warren – Online Submission, 2010
The Texas Projection Measure (TPM) has grown out of the state's need to meet the requirements of No Child Left Behind (NCLB). An examination of the state's method of predicting 8th grade mathematics scores reveals that several factors have been ignored in the process of developing the model, including assumptions in its underlying statistical…
Descriptors: Federal Legislation, Statistical Analysis, Grade 8, Predictive Measurement
Gagnon, Daniel A. – Online Submission, 2012
This paper describes the diffusion of Moodle within Cherokee County Schools. The diffusion is evaluated using the Bass Model and the RIPPLES model in order to evaluate relative success or failure. The Bass Model of Diffusion was calculated utilizing forecasting by analogy in order to analyze the adoption rates in a county high school. The adoption…
Descriptors: County School Districts, High Schools, Secondary School Teachers, Adoption (Ideas)
Jamgochian, Elisa; Park, Bitnara Jasmine; Nese, Joseph F. T.; Lai, Cheng-Fei; Saez, Leilani; Anderson, Daniel; Alonzo, Julie; Tindal, Gerald – Behavioral Research and Teaching, 2010
In this technical report, we provide reliability and validity evidence for the easyCBM[R] Reading measures for grade 2 (word and passage reading fluency and multiple choice reading comprehension). Evidence for reliability includes internal consistency and item invariance. Evidence for validity includes concurrent, predictive, and construct…
Descriptors: Grade 2, Reading Comprehension, Testing Programs, Reading Fluency
Peer reviewedAiken, Lewis R. – Journal of Research and Development in Education, 1989
Eight indexes for item analyses of small samples of test scores are described. Each index and a corresponding statistical significance test is defined, and tables of critical values of the index and associated right-tail probabilities are given. A computer program for calculating all indexes or any subsets is described. (JD)
Descriptors: Predictive Measurement, Predictive Validity, Rating Scales, Statistical Analysis
Tallmadge, G. Kasten – 1988
The question of regression to the mean is discussed in the contexts of the Title I Evaluation and Reporting System (TIERS) and the Bilingual Education Evaluation System (BEES), both of which involve assessing the achievement growth of project students from pre- to post-test. The correction formula recommended for use with TIERS was designed to…
Descriptors: Academic Achievement, Correlation, Predictive Measurement, Pretests Posttests
Davidson, Betty M. – 1988
Researchers sometimes use stepwise methods to eliminate variables from analyses when the variables do not appreciably improve the ability to explain or predict inferences about the importance of various predictor variables. It is argued that stepwise methods are usually not appropriate for these purposes for three reasons. First, some researchers…
Descriptors: Predictive Measurement, Predictor Variables, Regression (Statistics), Research Methodology
Peer reviewedGilman, David A. – Planning and Changing, 1988
This article discusses the uses of production function models and describes the role of inferential statistics for making predictions in school finance. Specifically, the analysis evaluates types, suggests uses, explains the advantages and disadvantages, and lists the statistical complexities of production functions. (JAM)
Descriptors: Educational Finance, Elementary Secondary Education, Prediction, Predictive Measurement
Baldwin, Beatrice – 1987
The robustness of LISREL computer program maximum likelihood estimates under specific conditions of model misspecification and sample size was examined. The population model used in this study contains one exogenous variable; three endogenous variables; and eight indicator variables, two for each latent variable. Conditions of model…
Descriptors: Computer Software, Maximum Likelihood Statistics, Monte Carlo Methods, Predictive Measurement
Katch, Frank I.; Katch, Victor L. – Research Quarterly, 1980
Sources of error in body composition assessment by laboratory and field methods can be found in hydrostatic weighing, residual air volume, skinfolds, and circumferences. Statistical analysis can and should be used in the measurement of body composition. (CJ)
Descriptors: Exercise Physiology, Human Body, Measurement Techniques, Physical Characteristics
Levine, Daniel U.; Stephenson, Robert S. – 1988
Actual data sets were used to illustrate how substantially different conclusions and implications can be drawn from alternate multiple regressions predicting academic achievement from the same set of variables measuring student background. Variables assessing students' socioeconomic status and geographic mobility, used to predict reading and math…
Descriptors: Academic Achievement, Educational Policy, Elementary Secondary Education, Multiple Regression Analysis
Peer reviewedJennings, Linda W.; Young, Dean M. – New Directions for Institutional Research, 1988
Increasing demands for accurate forecasts in such areas as student enrollment, energy expenditures, and facility capacity are placing new demands on the institutional researcher. A variety of forecasting models and methods are available, all to be used with caution in long-range forecasting. (Author/MSE)
Descriptors: College Planning, Higher Education, Institutional Research, Long Range Planning
Peer reviewedOttenbacher, Kenneth J. – Journal of Special Education, 1990
The agreement between visual analysis and the results of the split-middle method of trend estimation was examined using a set of 24 stimulus graphs and 30 raters. Results revealed poor agreement between the two methods, and low sensitivity, specificity, and predictive ability for visual analysis in relation to statistical inferences. (JDD)
Descriptors: Elementary Secondary Education, Estimation (Mathematics), Evaluation Methods, Graphs
Peer reviewedNichols, James D. – Bioscience, 1992
Describes advances in capture-recapture modeling, including the biologically motivated emphasis on model-based hypothesis testing and the development of models for spatially stratified populations. Discusses the severe problems associated with count statistics reflecting unknown sampling fractions. (67 references) (KR)
Descriptors: Ecological Factors, Estimation (Mathematics), Higher Education, Mathematical Models
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