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Gilholm, Patricia; Mengersen, Kerrie; Thompson, Helen – Educational and Psychological Measurement, 2021
Developmental surveillance tools are used to closely monitor the early development of infants and young children. This study provides a novel implementation of a multidimensional item response model, using Bayesian hierarchical priors, to construct developmental profiles for a small sample of children (N = 115) with sparse data collected through…
Descriptors: Bayesian Statistics, Item Response Theory, Sample Size, Child Development
Jaki, Thomas; Kim, Minjung; Lamont, Andrea; George, Melissa; Chang, Chi; Feaster, Daniel; Van Horn, M. Lee – Educational and Psychological Measurement, 2019
Regression mixture models are a statistical approach used for estimating heterogeneity in effects. This study investigates the impact of sample size on regression mixture's ability to produce "stable" results. Monte Carlo simulations and analysis of resamples from an application data set were used to illustrate the types of problems that…
Descriptors: Sample Size, Computation, Regression (Statistics), Reliability
Shin, Myungho; No, Unkyung; Hong, Sehee – Educational and Psychological Measurement, 2019
The present study aims to compare the robustness under various conditions of latent class analysis mixture modeling approaches that deal with auxiliary distal outcomes. Monte Carlo simulations were employed to test the performance of four approaches recommended by previous simulation studies: maximum likelihood (ML) assuming homoskedasticity…
Descriptors: Robustness (Statistics), Multivariate Analysis, Maximum Likelihood Statistics, Statistical Distributions
Yesiltas, Gonca; Paek, Insu – Educational and Psychological Measurement, 2020
A log-linear model (LLM) is a well-known statistical method to examine the relationship among categorical variables. This study investigated the performance of LLM in detecting differential item functioning (DIF) for polytomously scored items via simulations where various sample sizes, ability mean differences (impact), and DIF types were…
Descriptors: Simulation, Sample Size, Item Analysis, Scores
Huang, Francis L. – Educational and Psychological Measurement, 2018
Cluster randomized trials involving participants nested within intact treatment and control groups are commonly performed in various educational, psychological, and biomedical studies. However, recruiting and retaining intact groups present various practical, financial, and logistical challenges to evaluators and often, cluster randomized trials…
Descriptors: Multivariate Analysis, Sampling, Statistical Inference, Data Analysis
Li, Wei; Konstantopoulos, Spyros – Educational and Psychological Measurement, 2017
Field experiments in education frequently assign entire groups such as schools to treatment or control conditions. These experiments incorporate sometimes a longitudinal component where for example students are followed over time to assess differences in the average rate of linear change, or rate of acceleration. In this study, we provide methods…
Descriptors: Educational Experiments, Field Studies, Models, Randomized Controlled Trials
Konstantopoulos, Spyros – Educational and Psychological Measurement, 2011
Field experiments with nested structures assign entire groups such as schools to treatment and control conditions. Key aspects of such cluster randomized experiments include knowledge of the intraclass correlation structure and the sample sizes necessary to achieve adequate power to detect the treatment effect. The units at each level of the…
Descriptors: Sampling, Multivariate Analysis, Sample Size, Statistical Analysis
Chou, Yeh-Tai; Wang, Wen-Chung – Educational and Psychological Measurement, 2010
Dimensionality is an important assumption in item response theory (IRT). Principal component analysis on standardized residuals has been used to check dimensionality, especially under the family of Rasch models. It has been suggested that an eigenvalue greater than 1.5 for the first eigenvalue signifies a violation of unidimensionality when there…
Descriptors: Test Length, Sample Size, Correlation, Item Response Theory
Seco, Guillermo Vallejo; Gras, Jaime Arnau; Garcia, Manuel Ato – Educational and Psychological Measurement, 2007
This study evaluated the robustness of two recent methods for analyzing multivariate repeated measures when the assumptions of covariance homogeneity and multivariate normality are violated. Specifically, the authors' work compares the performance of the modified Brown-Forsythe (MBF) procedure and the mixed-model procedure adjusted by the…
Descriptors: Sample Size, Robustness (Statistics), Monte Carlo Methods, Multivariate Analysis

Thompson, Bruce – Educational and Psychological Measurement, 1990
A Monte Carlo study involving 1,000 random samples from each of 64 different population matrices investigated bias in both canonical correlation and redundancy coefficients. Results indicate that the Wherry correction provides a reasonable solution to this problem and that canonical results are not as biased as has been believed. (TJH)
Descriptors: Error of Measurement, Monte Carlo Methods, Multivariate Analysis, Relationship
Fan, Weihua; Hancock, Gregory R. – Educational and Psychological Measurement, 2006
In the common two-step structural equation modeling process, modifications are routinely made to the measurement portion of the model prior to assessing structural relations. The effect of such measurement model modifications on the structural parameter estimates, however, is not well known and is the subject of the current investigation. For a…
Descriptors: Error of Measurement, Evaluation Methods, Monte Carlo Methods, Sample Size
Seco, Guillermo Vallejo; Izquierdo, Marcelino Cuesta; Garcia, M. Paula Fernandez; Diez, F. Javier Herrero – Educational and Psychological Measurement, 2006
The authors compare the operating characteristics of the bootstrap-F approach, a direct extension of the work of Berkovits, Hancock, and Nevitt, with Huynh's improved general approximation (IGA) and the Brown-Forsythe (BF) multivariate approach in a mixed repeated measures design when normality and multisample sphericity assumptions do not hold.…
Descriptors: Sample Size, Comparative Analysis, Simulation, Multivariate Analysis

Brennan, Robert L.; And Others – Educational and Psychological Measurement, 1995
Generalizability theory is used to examine the psychometric characteristics of the Listening and Writing Tests developed by American College Testing for its Work Keys program. Results with samples of 50 suggest the desirability of a minimum number of the tests' tape-recorded messages and the use of at least 2 raters. (SLD)
Descriptors: Audiotape Recordings, Error of Measurement, Generalizability Theory, Interaction