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Warne, Russell T. – Journal of Advanced Academics, 2022
Recently, Picho-Kiroga (2021) published a meta-analysis on the effect of stereotype threat on females. Their conclusion was that the average effect size for stereotype threat studies was d = .28, but that effects are overstated because the majority of studies on stereotype threat in females include methodological characteristics that inflate the…
Descriptors: Sex Stereotypes, Females, Meta Analysis, Effect Size
Yang, Shitao; Black, Ken – Teaching Statistics: An International Journal for Teachers, 2019
Summary Employing a Wald confidence interval to test hypotheses about population proportions could lead to an increase in Type I or Type II errors unless the hypothesized value, p0, is used in computing its standard error rather than the sample proportion. Whereas the Wald confidence interval to estimate a population proportion uses the sample…
Descriptors: Error Patterns, Evaluation Methods, Error of Measurement, Measurement Techniques
Brenner, Philip S. – Sociological Methods & Research, 2017
That rates of normative behaviors produced by sample surveys are higher than actual behavior warrants is well evidenced in the research literature. Less well understood is the source of this error. Twenty-five cognitive interviews were conducted to probe responses to a set of common, conventional survey questions about one such normative behavior:…
Descriptors: Interviews, Surveys, Religion, Religious Factors
Schoeneberger, Jason A. – Journal of Experimental Education, 2016
The design of research studies utilizing binary multilevel models must necessarily incorporate knowledge of multiple factors, including estimation method, variance component size, or number of predictors, in addition to sample sizes. This Monte Carlo study examined the performance of random effect binary outcome multilevel models under varying…
Descriptors: Sample Size, Models, Computation, Predictor Variables
Bernard, Robert M.; Borokhovski, Eugene; Schmid, Richard F.; Tamim, Rana M. – Journal of Computing in Higher Education, 2014
This article contains a second-order meta-analysis and an exploration of bias in the technology integration literature in higher education. Thirteen meta-analyses, dated from 2000 to 2014 were selected to be included based on the questions asked and the presence of adequate statistical information to conduct a quantitative synthesis. The weighted…
Descriptors: Meta Analysis, Bias, Technology Integration, Higher Education
Warachan, Boonyasit – ProQuest LLC, 2011
The objective of this research was to determine the robustness and statistical power of three different methods for testing the hypothesis that ordinal samples of five and seven Likert categories come from equal populations. The three methods are the two sample t-test with equal variances, the Mann-Whitney test, and the Kolmogorov-Smirnov test. In…
Descriptors: Statistical Analysis, Likert Scales, Hypothesis Testing, Data
Harring, Jeffrey R.; Weiss, Brandi A.; Hsu, Jui-Chen – Psychological Methods, 2012
Two Monte Carlo simulations were performed to compare methods for estimating and testing hypotheses of quadratic effects in latent variable regression models. The methods considered in the current study were (a) a 2-stage moderated regression approach using latent variable scores, (b) an unconstrained product indicator approach, (c) a latent…
Descriptors: Structural Equation Models, Geometric Concepts, Computation, Comparative Analysis
Mrazik, Martin; Janzen, Troy M.; Dombrowski, Stefan C.; Barford, Sean W.; Krawchuk, Lindsey L. – Canadian Journal of School Psychology, 2012
A total of 19 graduate students enrolled in a graduate course conducted 6 consecutive administrations of the Wechsler Intelligence Scale for Children, 4th edition (WISC-IV, Canadian version). Test protocols were examined to obtain data describing the frequency of examiner errors, including administration and scoring errors. Results identified 511…
Descriptors: Intelligence Tests, Intelligence, Statistical Analysis, Scoring
Kherif, Ferath; Josse, Goulven; Seghier, Mohamed L.; Price, Cathy J. – Journal of Cognitive Neuroscience, 2009
The aim of this study was to find the most prominent source of intersubject variability in neuronal activation for reading familiar words aloud. To this end, we collected functional imaging data from a large sample of subjects (n = 76) with different demographic characteristics such as handedness, sex, and age, while reading. The…
Descriptors: Handedness, Semantics, Reading Strategies, Error of Measurement
Shoemaker, David M. – 1972
Investigated empirically through post mortem item-examinee sampling was the feasibility of the jackknife as a procedure for approximating standard errors of estimate in multiple matrix sampling. The parameters estimated were the mean test score, second through fourth central moments of the test score distribution, and the variance of the item…
Descriptors: Error of Measurement, Error Patterns, Item Sampling, Matrices
Baldwin, Scott A.; Murray, David M.; Shadish, William R. – Journal of Consulting and Clinical Psychology, 2005
When treatments are administered in groups, clients interact in ways that lead to violations of a key assumption of most statistical analyses-the assumption of independence of observations. The resulting dependencies, when not properly accounted for, can increase Type I errors dramatically. Of the 33 studies of group-administered treatment on the…
Descriptors: Statistical Analysis, Error Patterns, Clinical Psychology, Group Therapy

Luh, Wei-Ming; Guo, Jiin-Huarng – Journal of Experimental Education, 2005
To deal with nonnormal and heterogeneous data for the one-way fixed effect analysis of variance model, the authors adopted a trimmed means method in conjunction with Hall's invertible transformation into a heteroscedastic test statistic (Alexander-Govern test or Welch test). The results of simulation experiments showed that the proposed technique…
Descriptors: Robustness (Statistics), Computer Simulation, Educational Research, Error Patterns
Shoemaker, David M. – 1972
Described and listed herein with concomitant sample input and output is the Fortran IV program which estimates parameters and standard errors of estimate per parameters for parameters estimated through multiple matrix sampling. The specific program is an improved and expanded version of an earlier version. (Author/BJG)
Descriptors: Computer Oriented Programs, Computer Programs, Error of Measurement, Error Patterns

Werts, C. E.; And Others – Educational and Psychological Measurement, 1976
A procedure is presented for the analysis of rating data with correlated intrajudge and uncorrelated interjudge measurement errors. Correlations between true scores on different rating dimensions, reliabilities for each judge on each dimension and correlations between intrajudge errors can be estimated given a minimum of three raters and two…
Descriptors: Correlation, Data Analysis, Error of Measurement, Error Patterns
Croninger, Robert G.; Douglas, Karen M. – New Directions for Institutional Research, 2005
Many do not consider the effect that missing data have on their survey results nor do they know how to handle missing data. This chapter offers strategies for handling item-missing data and provides a practical example of how these strategies may affect results. The chapter concludes with recommendations for preventing and dealing with missing…
Descriptors: Institutional Research, Research Methodology, Surveys, Error of Measurement
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