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Hypothesis Testing, "p" Values, Confidence Intervals, Measures of Effect Size, and Bayesian Methods in Light of Modern Robust Techniques
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Wilcox, Rand R.; Serang, Sarfaraz – Educational and Psychological Measurement, 2017
The article provides perspectives on p values, null hypothesis testing, and alternative techniques in light of modern robust statistical methods. Null hypothesis testing and "p" values can provide useful information provided they are interpreted in a sound manner, which includes taking into account insights and advances that have…
Descriptors: Hypothesis Testing, Bayesian Statistics, Computation, Effect Size
Statistical Matching of PISA 2009 and TALIS 2008 Data in Iceland. OECD Education Working Papers, No. 78
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Kaplan, David; Turner, Alyn – OECD Publishing (NJ1), 2012
The OECD Program for International Student Assessment (PISA) and the OECD Teaching and Learning International Survey (TALIS) constitute two of the largest ongoing international student and teacher surveys presently underway. Data generated from these surveys offer researchers and policy-makers opportunities to identify particular educational…
Descriptors: Outcomes of Education, Teacher Surveys, Policy Analysis, Educational Change
Correlational Analysis of Ordinal Data: From Pearson's "r" to Bayesian Polychoric Correlation
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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
Factors Which Influence Precision of School-Level IRT Ability Estimates.
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Tate, Richard L.; King, F. J. – Journal of Educational Measurement, 1994
The precision of the group-based item-response theory (IRT) model applied to school ability estimation is described, assuming use of Bayesian estimation with precision represented by the standard deviation of the posterior distribution. Similarities with and differences between the school-based model and the individual-level IRT are explored. (SLD)
Descriptors: Ability, Bayesian Statistics, Estimation (Mathematics), Item Response Theory
Empirical Bayes Meta-Analysis.
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Raudenbush, Stephen W.; Bryk, Anthony S. – Journal of Educational Statistics, 1985
To facilitate meta-analysis of diverse study findings, a mixed linear model with fixed random effects is presented and illustrated with data from teacher expectancy experiments. The standardized effect size is viewed as random and the variation among effect sizes is modeled as a function of study characteristics. (Author/BS).
Descriptors: Bayesian Statistics, Educational Research, Effect Size, Hypothesis Testing
Some Problems in the Analysis of Cross-National Survey Data
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Keeves, John P.; Lietz, Petra; Gregory, Kelvin; Darmawan, I Gusti Ngurah – International Education Journal, 2006
In this lead article three emergent problems in the analysis of cross-national survey data are raised in a context of 40 years of research and development in a field where persistent problems have arisen and where scholars across the world have sought solutions. Anomalous results have been found from secondary data analyses that would appear to…
Descriptors: Research and Development, Academic Achievement, Computation, National Surveys