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Keusch, Florian; Leonard, Mariel M.; Sajons, Christoph; Steiner, Susan – Sociological Methods & Research, 2021
Researchers attempting to survey refugees over time face methodological issues because of the transient nature of the target population. In this article, we examine whether applying smartphone technology could alleviate these issues. We interviewed 529 refugees and afterward invited them to four follow-up mobile web surveys and to install a…
Descriptors: Handheld Devices, Telecommunications, Ownership, Computer Software
Debray, Thomas P. A.; Moons, Karel G. M.; Riley, Richard D. – Research Synthesis Methods, 2018
Small-study effects are a common threat in systematic reviews and may indicate publication bias. Their existence is often verified by visual inspection of the funnel plot. Formal tests to assess the presence of funnel plot asymmetry typically estimate the association between the reported effect size and their standard error, the total sample size,…
Descriptors: Meta Analysis, Comparative Analysis, Publications, Bias
Guerrero, Tricia A.; Griffin, Thomas D.; Wiley, Jennifer – Grantee Submission, 2020
The Predict-Observe-Explain (POE) learning cycle improves understanding of the connection between empirical results and theoretical concepts when students engage in hands-on experimentation. This study explored whether training students to use a POE strategy when learning from social science texts that describe theories and experimental results…
Descriptors: Prediction, Observation, Reading Comprehension, Correlation
Shang, Yi; VanIwaarden, Adam; Betebenner, Damian W. – Educational Measurement: Issues and Practice, 2015
In this study, we examined the impact of covariate measurement error (ME) on the estimation of quantile regression and student growth percentiles (SGPs), and find that SGPs tend to be overestimated among students with higher prior achievement and underestimated among those with lower prior achievement, a problem we describe as ME endogeneity in…
Descriptors: Error of Measurement, Regression (Statistics), Achievement Gains, Students
Keller, Tamás – Educational Studies, 2016
This paper argues that school grades cannot be interpreted solely as a reward for a given school performance, since they also reflect teachers' assessments of pupils. A teacher's evaluation of a pupil's performance, as reflected in the grade awarded, might influence the effort that the pupil invests in learning. Grades might therefore serve as…
Descriptors: Foreign Countries, Elementary School Students, Student Evaluation, Grading
Palardy, Gregory J.; Peng, Luyao – Education Policy Analysis Archives, 2015
This study examines the effects of including the summer period on value-added assessments (VAA) of teacher and school performance at the early grades. The results indicate that 40-62% of the variance in VAA estimates originates from the summer period, depending on the outcome (i.e., reading or math achievement gains). Furthermore, when summer is…
Descriptors: Value Added Models, Performance Based Assessment, Teacher Effectiveness, School Effectiveness
Raudenbush, Stephen W.; Sadoff, Sally – Journal of Research on Educational Effectiveness, 2008
A dramatic shift in research priorities has recently produced a large number of ambitious randomized trials in K-12 education. In most cases, the aim is to improve student academic learning by improving classroom instruction. Embedded in these studies are theories about how the quality of classroom must improve if these interventions are to…
Descriptors: Elementary Secondary Education, Error of Measurement, Statistical Inference, Program Evaluation
Alhija, Fadia Nasser-Abu; Wisenbaker, Joseph – Structural Equation Modeling: A Multidisciplinary Journal, 2006
A simulation study was conducted to examine the effect of item parceling on confirmatory factor analysis parameter estimates and their standard errors at different levels of sample size, number of indicators per factor, size of factor structure/pattern coefficients, magnitude of interfactor correlations, and variations in item-level data…
Descriptors: Monte Carlo Methods, Computation, Factor Analysis, Sample Size

Carroll, Robert M.; Nordholm, Lena A. – Educational and Psychological Measurement, 1975
Statistics used to estimate the population correlation ratio were reviewed and evaluated. The sampling distributions of Kelly's and Hays' statistics were studied empirically by computer simulation within the context of a three level one-way fixed effects analysis of variance design. (Author/RC)
Descriptors: Analysis of Variance, Bias, Comparative Analysis, Correlation

Cornwell, John M.; Ladd, Robert T. – Educational and Psychological Measurement, 1993
Simulated data typical of those from meta analyses are used to evaluate the reliability, Type I and Type II errors, bias, and standard error of the meta-analytic procedures of Schmidt and Hunter (1977). Concerns about power, reliability, and Type I errors are presented. (SLD)
Descriptors: Bias, Computer Simulation, Correlation, Effect Size