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Ahn, Soyeon; Becker, Betsy Jane – Journal of Educational and Behavioral Statistics, 2011
This paper examines the impact of quality-score weights in meta-analysis. A simulation examines the roles of study characteristics such as population effect size (ES) and its variance on the bias and mean square errors (MSEs) of the estimators for several patterns of relationship between quality and ES, and for specific patterns of systematic…
Descriptors: Meta Analysis, Scores, Effect Size, Statistical Bias
Schmitt, Thomas A.; Sass, Daniel A. – Educational and Psychological Measurement, 2011
Exploratory factor analysis (EFA) has long been used in the social sciences to depict the relationships between variables/items and latent traits. Researchers face many choices when using EFA, including the choice of rotation criterion, which can be difficult given that few research articles have discussed and/or demonstrated their differences.…
Descriptors: Hypothesis Testing, Factor Analysis, Correlation, Criteria
Casleton, Emily; Beyler, Amy; Genschel, Ulrike; Wilson, Alyson – Journal of Statistics Education, 2014
Undergraduate students who have just completed an introductory statistics course often lack deep understanding of variability and enthusiasm for the field of statistics. This paper argues that by introducing the commonly underemphasized concept of measurement error, students will have a better chance of attaining both. We further present lecture…
Descriptors: Undergraduate Students, Statistics, Measurement Techniques, Error of Measurement
Cox, Bradley E.; McIntosh, Kadian; Reason, Robert D.; Terenzini, Patrick T. – Review of Higher Education, 2014
Nearly all quantitative analyses in higher education draw from incomplete datasets-a common problem with no universal solution. In the first part of this paper, we explain why missing data matter and outline the advantages and disadvantages of six common methods for handling missing data. Next, we analyze real-world data from 5,905 students across…
Descriptors: Data Analysis, Statistical Inference, Research Problems, Computation
Calvert, Carol Elaine – Open Learning, 2014
This case study relates to distance learning students on open access courses. It demonstrates the use of predictive analytics to generate a model of the probabilities of success and retention at different points, or milestones, in a student journey. A core set of explanatory variables has been established and their varying relative importance at…
Descriptors: Academic Achievement, Distance Education, Open Education, Probability
Stacy, Brian; Lockwood, J. R.; McCaffrey, Daniel – Society for Research on Educational Effectiveness, 2012
Researchers and policymakers are interested in the causal effects of educational inputs on student achievement. Unfortunately, it is not possible to directly observe student learning, so test score data is often used as an approximate measure. To measure their achievement at a given point in time (e.g., in the spring of the school year) students…
Descriptors: Productivity, Guessing (Tests), Knowledge Level, Standardized Tests
Lo, Yun-Jia – ProQuest LLC, 2012
In educational research, a randomized controlled trial is the best design to eliminate potential selection bias in a sample to support valid causal inferences, but it is not always possible in educational research because of financial, ethical, and logistical constrains. One alternative solution is use of the propensity score (PS) methods.…
Descriptors: Educational Research, Probability, Scores, Research Methodology
Fife, Dustin A.; Mendoza, Jorge L.; Terry, Robert – Educational and Psychological Measurement, 2012
Though much research and attention has been directed at assessing the correlation coefficient under range restriction, the assessment of reliability under range restriction has been largely ignored. This article uses item response theory to simulate dichotomous item-level data to assess the robustness of KR-20 ([alpha]), [omega], and test-retest…
Descriptors: Reliability, Computation, Comparative Analysis, Item Response Theory
Wang, Lin; Qian, Jiahe; Lee, Yi-Hsuan – ETS Research Report Series, 2013
The purpose of this study was to evaluate the combined effects of reduced equating sample size and shortened anchor test length on item response theory (IRT)-based linking and equating results. Data from two independent operational forms of a large-scale testing program were used to establish the baseline results for evaluating the results from…
Descriptors: Test Construction, Item Response Theory, Testing Programs, Simulation
Gorad, Stephen; Hordosy, Rita; Siddiqui, Nadia – International Education Studies, 2013
This paper re-considers the widespread use of value-added approaches to estimate school "effects", and shows the results to be very unstable over time. The paper uses as an example the contextualised value-added scores of all secondary schools in England. The study asks how many schools with at least 99% of their pupils included in the…
Descriptors: Foreign Countries, Outcomes of Education, Secondary Education, Educational Testing
Beauducel, Andre – Applied Psychological Measurement, 2013
The problem of factor score indeterminacy implies that the factor and the error scores cannot be completely disentangled in the factor model. It is therefore proposed to compute Harman's factor score predictor that contains an additive combination of factor and error variance. This additive combination is discussed in the framework of classical…
Descriptors: Factor Analysis, Predictor Variables, Reliability, Error of Measurement
Suzuki, Yuichi – Language Testing, 2015
Self-assessment has been used to assess second language proficiency; however, as sources of measurement errors vary, they may threaten the validity and reliability of the tools. The present paper investigated the role of experiences in using Japanese as a second language in the naturalistic acquisition context on the accuracy of the…
Descriptors: Self Evaluation (Individuals), Error of Measurement, Japanese, Second Language Learning
Jackson, Osborne – Federal Reserve Bank of Boston, 2015
This paper investigates the impact of immigration on the college enrollment of U.S. natives. Many studies have focused on the effect of increased demand for schooling by immigrants on the enrollment of natives. However, changes in immigrant labor supply may also affect native enrollment by changing local market prices. Using U.S. Census data from…
Descriptors: Higher Education, Immigration, Indigenous Populations, Enrollment Influences
McBee, Matthew T.; Peters, Scott J.; Waterman, Craig – Gifted Child Quarterly, 2014
Best practice in gifted and talented identification procedures involves making decisions on the basis of multiple measures. However, very little research has investigated the impact of different methods of combining multiple measures. This article examines the consequences of the conjunctive ("and"), disjunctive/complementary…
Descriptors: Best Practices, Ability Identification, Academically Gifted, Correlation
He, Qingping; Anwyll, Steve; Glanville, Matthew; Opposs, Dennis – Research Papers in Education, 2014
Since 2010, the whole national cohort Key Stage 2 (KS2) National Curriculum test in science in England has been replaced with a sampling test taken by pupils at the age of 11 from a nationally representative sample of schools annually. The study reported in this paper compares the performance of different subgroups of the samples (classified by…
Descriptors: National Curriculum, Sampling, Foreign Countries, Factor Analysis