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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
Olvera Astivia, Oscar L.; Zumbo, Bruno D. – Educational and Psychological Measurement, 2015
To further understand the properties of data-generation algorithms for multivariate, nonnormal data, two Monte Carlo simulation studies comparing the Vale and Maurelli method and the Headrick fifth-order polynomial method were implemented. Combinations of skewness and kurtosis found in four published articles were run and attention was…
Descriptors: Data, Simulation, Monte Carlo Methods, Comparative Analysis
Liu, Min; Hancock, Gregory R. – Educational and Psychological Measurement, 2014
Growth mixture modeling has gained much attention in applied and methodological social science research recently, but the selection of the number of latent classes for such models remains a challenging issue, especially when the assumption of proper model specification is violated. The current simulation study compared the performance of a linear…
Descriptors: Models, Classification, Simulation, Comparative Analysis
French, Brian F.; Finch, W. Holmes – Educational and Psychological Measurement, 2013
Multilevel data structures are ubiquitous in the assessment of differential item functioning (DIF), particularly in large-scale testing programs. There are a handful of DIF procures for researchers to select from that appropriately account for multilevel data structures. However, little, if any, work has been completed to extend a popular DIF…
Descriptors: Test Bias, Statistical Analysis, Comparative Analysis, Correlation
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

Schnittjer, Carl J.; Showalter, Benjamin L. – Educational and Psychological Measurement, 1976
Designed to provide comparative analyses which could be employed as a basis for judicious program selection and use of generally available canonical correlation computer programs. (RC)
Descriptors: Comparative Analysis, Computer Programs, Correlation, Multivariate Analysis

Sheehan-Holt, Janet K. – Educational and Psychological Measurement, 1998
Monte Carlo studies were conducted to compare four multivariate analysis of variance (MANOVA) simultaneous test procedures (STPs) in terms of power and Type I error under various conditions including violations of MANOVA assumptions. Results do not support the hypothesis that the moderately restricted STP is a good compromise between…
Descriptors: Comparative Analysis, Monte Carlo Methods, Multivariate Analysis, Power (Statistics)
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

Merenda, Peter F.; And Others – Educational and Psychological Measurement, 1972
Descriptors: Achievement Tests, Aptitude Tests, Comparative Analysis, Correlation

Marcoulides, George A. – Educational and Psychological Measurement, 1994
Effects of different weighting schemes on selecting the optimal number of observations in multivariate-multifacet generalizability designs are studied when cost constraints are imposed. Comparison of four schemes through simulation indicates that all four produce similar optimal values and that reliability should be similar. (SLD)
Descriptors: Budgeting, Comparative Analysis, Costs, Factor Analysis
DiStefano, Christine; Kamphaus, R. W. – Educational and Psychological Measurement, 2006
Two classification methods, latent class cluster analysis and cluster analysis, are used to identify groups of child behavioral adjustment underlying a sample of elementary school children aged 6 to 11 years. Behavioral rating information across 14 subscales was obtained from classroom teachers and used as input for analyses. Both the procedures…
Descriptors: Child Development, Multivariate Analysis, Comparative Analysis, Classification

Yammarino, Francis J. – Educational and Psychological Measurement, 1990
Relationships among individual- and group-directed measures of leader behavior descriptions and five variables were examined using 54 law enforcement agency personnel associated with a large public university. Data on a questionnaire completed by participants during an interview were studied. Explicit consideration was given to multiple levels of…
Descriptors: Behavior Rating Scales, Comparative Analysis, Equations (Mathematics), Group Dynamics
Kim, Kyung Hee; Cramond, Bonnie; Bandalos, Deborah L. – Educational and Psychological Measurement, 2006
There is disagreement among researchers as to whether creativity is a unidimensional or multidimensional trait. Much of the debate centers around the most widely used measure of creativity, the Torrance Tests of Creative Thinking (TTCT). This study used data from 1,000 kindergartners (ages 5-7), 1,000 third graders (ages 7-11) and 1,000 sixth…
Descriptors: Scores, Creative Thinking, Creativity Tests, Kindergarten