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Fahle, Erin; Reardon, Sean – Society for Research on Educational Effectiveness, 2016
Describing the variation in test scores between and within school districts is critical for: (1) for policy-related and descriptive work that investigates the sorting of students among districts and the differential effectiveness of those districts; and (2) for methodological work planning future experiments or interventions. Intraclass…
Descriptors: School Districts, Scores, Comparative Analysis, School Effectiveness
Groen, Jeffrey A. – Education Finance and Policy, 2016
The goal of this paper is to estimate the impact of labor demand on time to the doctorate. Empirical investigation of this relationship in previous research was hampered by the difficulty of measuring labor demand. I construct a measure of labor demand in seven fields in the humanities and social sciences based on the annual number of job listings…
Descriptors: Labor Needs, Doctoral Programs, Time to Degree, Occupational Information
Zhang, Xiuyuan; Patel, Priyank; Ewing, Maureen – College Board, 2015
Historically, AP Potential™ correlations and expectancy tables have been based on 10th-and 11th-grade PSAT/NMSQT® examinees and 11th-and 12th-grade AP® examinees for all subjects (Zhang, Patel, & Ewing,2014; Ewing, Camara, & Millsap, 2006; Camara & Millsap, 1998). However, a large number of students take AP European History and AP…
Descriptors: Grade 4, Scores, Prediction, European History
Goldman, Robert N.; McKenzie, John D. Jr. – Teaching Statistics: An International Journal for Teachers, 2009
We explain how to simulate both univariate and bivariate raw data sets having specified values for common summary statistics. The first example illustrates how to "construct" a data set having prescribed values for the mean and the standard deviation--for a one-sample t test with a specified outcome. The second shows how to create a bivariate data…
Descriptors: Correlation, Equated Scores, Statistical Analysis, Weighted Scores
Choi, Jaehwa; Peters, Michelle; Mueller, Ralph O. – Asia Pacific Education Review, 2010
Correlational analyses are one of the most popular quantitative methods, yet also one of the mostly frequently misused methods in social and behavioral research, especially when analyzing ordinal data from Likert or other rating scales. Although several correlational analysis options have been developed for ordinal data, there seems to be a lack…
Descriptors: Rating Scales, Item Response Theory, Correlation, Behavioral Science Research
Beasley, William Howard; DeShea, Lise; Toothaker, Larry E.; Mendoza, Jorge L.; Bard, David E.; Rodgers, Joseph Lee – Psychological Methods, 2007
This article proposes 2 new approaches to test a nonzero population correlation ([rho]): the hypothesis-imposed univariate sampling bootstrap (HI) and the observed-imposed univariate sampling bootstrap (OI). The authors simulated correlated populations with various combinations of normal and skewed variates. With [alpha[subscript "set"]]=0.05, N…
Descriptors: Correlation, Sampling, Sample Size, Research Methodology
Slavin, Robert; Smith, Dewi – Educational Evaluation and Policy Analysis, 2009
Research in fields other than education has found that studies with small sample sizes tend to have larger effect sizes than those with large samples. This article examines the relationship between sample size and effect size in education. It analyzes data from 185 studies of elementary and secondary mathematics programs that met the standards of…
Descriptors: Sample Size, Effect Size, Correlation, Educational Experiments
Price, James M.; Nicewander, W. Alan – 1982
A standard interpretation of the coefficient of correlation may be obtained from the ratio of two variances. If it is assumed that two variables, X and Y, are bivariate normal and scaled to have zero means and unit variances, it can be shown that the correlation between X and Y is the ratio of two conditional means. Galton's statistical studies of…
Descriptors: Correlation, Heredity, Personnel Selection, Statistical Studies
Peer reviewedKrijnen, Wim P. – Psychometrika, 1994
To assess association between rows of proximity matrices, H. de Vries (1993) introduces weighted average and row-wise average variants for Pearson's product-moment correlation, Spearman's rank correlation, and Kendall's rank correlation. For all three, the absolute value of the first variant is greater than or equal to the second. (SLD)
Descriptors: Correlation, Equations (Mathematics), Matrices, Statistical Studies
Sato, Marc; Vallee, Nathalie; Schwartz, Jean-Luc; Rousset, Isabelle – Journal of Speech, Language, and Hearing Research, 2007
Purpose: Statistical studies conducted in various languages on both infants and adults have revealed an intersyllabic preference for initiating words with a labial consonant-vowel-coronal consonant sequence. Speech motor constraints have been proposed to explain this so-called "labial-coronal effect." This study was designed to test for a possible…
Descriptors: Statistical Studies, Vowels, Language Processing, Infants
Kleinke, David J. – 1973
An index that reflects the accuracy of selection associated with a predictive validity of "r" is presented. Based on Sheppard's thoerem on median dichotomies, it is a measure of improvement over chance assignment to "accept" (or "reject"). Because the index is a measure of the accuracy of this assignment, rather than…
Descriptors: Correlation, Predictive Validity, Speeches, Statistical Studies
Peer reviewedDeSarbo, Wayne S.; And Others – Psychometrika, 1982
A variety of problems associated with the interpretation of traditional canonical correlation are discussed. A response surface approach is developed which allows for investigation of changes in the coefficients while maintaining an optimum canonical correlation value. Also, a discrete or constrained canonical correlation method is presented. (JKS)
Descriptors: Correlation, Mathematical Models, Multivariate Analysis, Statistical Studies
The Descriptive Use of Absolute Differences between Pairs of Scores with a Common Mean and Variance.
Peer reviewedMcGraw, Kenneth O.; Wong, S. P. – Journal of Educational Statistics, 1994
Similarity between pairs of scores with a common mean and variance can be expressed in terms of the absolute differences between them. The distribution of such absolute differences between pairs of normally distributed scores with a common mean and variance is discussed, with procedures for calculating moments and areas within this distribution.…
Descriptors: Correlation, Reliability, Scores, Statistical Distributions
Peer reviewedAlexander, Ralph A.; And Others – Educational and Psychological Measurement, 1985
A comparison of measures of association for 2x2 data was carried out by computer analysis. For each of 1,539 tables, 14 measures of association were calculated and evaluated. A measure based on the odds-ratio (Chambers, 1982) was most accurate in capturing the rho underlying a majority of the tables. (Author/BW)
Descriptors: Computer Simulation, Correlation, Matrices, Research Methodology
Peer reviewedHall, Charles E. – Journal of Experimental Education, 1971
Descriptors: Analysis of Variance, Correlation, Discriminant Analysis, Statistical Studies

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