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Minelli, Rachel M. – ProQuest LLC, 2012
This dissertation reports the results of three studies and a pilot study. The first study was a Monte Carlo validation study that examined the accuracy of a new visual inspection method, the semi-interquartile range method. Results of the study indicated that this method had lower levels of power than a previously validated method, the…
Descriptors: Educational Assessment, Student Evaluation, Evaluation Methods, Preservice Teachers
Saxon, David; Barkham, Michael – Journal of Consulting and Clinical Psychology, 2012
Objective: To investigate the size of therapist effects using multilevel modeling (MLM), to compare the outcomes of therapists identified as above and below average, and to consider how key variables--in particular patient severity and risk and therapist caseload--contribute to therapist variability and outcomes. Method: We used a large…
Descriptors: Health Services, Outcome Measures, Therapy, Foreign Countries
Depaoli, Sarah – Structural Equation Modeling: A Multidisciplinary Journal, 2012
Parameter recovery was assessed within mixture confirmatory factor analysis across multiple estimator conditions under different simulated levels of mixture class separation. Mixture class separation was defined in the measurement model (through factor loadings) and the structural model (through factor variances). Maximum likelihood (ML) via the…
Descriptors: Markov Processes, Factor Analysis, Statistical Bias, Evaluation Research
Lix, Lisa M.; Sajobi, Tolulope – Psychological Methods, 2010
This study investigates procedures for controlling the familywise error rate (FWR) when testing hypotheses about multiple, correlated outcome variables in repeated measures (RM) designs. A content analysis of RM research articles published in 4 psychology journals revealed that 3 quarters of studies tested hypotheses about 2 or more outcome…
Descriptors: Hypothesis Testing, Correlation, Statistical Analysis, Research Design
Chen, Qi; Kwok, Oi-Man; Luo, Wen; Willson, Victor L. – Structural Equation Modeling: A Multidisciplinary Journal, 2010
Growth mixture modeling (GMM) is a relatively new technique for analyzing longitudinal data. However, when applying GMM, researchers might assume that the higher level (nonrepeated measure) units (e.g., students) are independent from each other even though it might not always be true. This article reports the results of a simulation study…
Descriptors: Longitudinal Studies, Data Analysis, Models, Monte Carlo Methods
Belov, Dmitry I.; Armstrong, Ronald D. – Applied Psychological Measurement, 2010
This article presents a new method to detect copying on a standardized multiple-choice exam. The method combines two statistical approaches in successive stages. The first stage uses Kullback-Leibler divergence to identify examinees, called subjects, who have demonstrated inconsistent performance during an exam. For each subject the second stage…
Descriptors: Multiple Choice Tests, Cheating, Statistical Analysis, Monte Carlo Methods
Walters, Glenn D.; Ruscio, John – Assessment, 2010
There are several important decisions that must be made when implementing taxometric procedures such as mean above minus below a cut (MAMBAC), maximum covariance (MAXCOV), and maximum eigenvalue (MAXEIG). A Monte Carlo study was performed with 10,000 (5,000 categorical, 5,000 dimensional) samples to examine 5 ways to locate the first and last…
Descriptors: Statistical Analysis, Classification, Intervals, Monte Carlo Methods
Hwang, Heungsun; Ho, Moon-Ho Ringo; Lee, Jonathan – Psychometrika, 2010
Generalized structured component analysis (GSCA) is a component-based approach to structural equation modeling. In practice, researchers may often be interested in examining the interaction effects of latent variables. However, GSCA has been geared only for the specification and testing of the main effects of variables. Thus, an extension of GSCA…
Descriptors: Monte Carlo Methods, Structural Equation Models, Interaction, Researchers
Kelchen, Robert; Goldrick-Rab, Sara – Journal of Higher Education, 2015
The persistently low college attainment rates of youth from poor families are partly attributable to their uncertainty about college affordability. The current federal financial aid system does not provide specific information about college costs until just before college enrollment and the information is only available to students completing a…
Descriptors: Cost Effectiveness, Input Output Analysis, Federal Aid, Student Loan Programs
Grünloh, Thomas; Lieven, Elena; Tomasello, Michael – Language Learning and Development, 2015
In the current study we investigate whether 2- and 3-year-old German children use intonation productively to mark the informational status of referents. Using a story-telling task, we compared children's and adults' intonational realization via pitch accent (H*, L* and de-accentuation) of New, Given, and Contrastive referents. Both children and…
Descriptors: Young Children, Intonation, Suprasegmentals, Language Patterns
Chiu, Ming Ming; Fujita, Nobuko – Journal of Learning Analytics, 2014
Online forums (synchronous and asynchronous) offer exciting data opportunities to analyze how people influence one another through their interactions. However, researchers must address several analytic difficulties involving the data (missing values, nested structure [messages within topics], non-sequential messages), outcome variables (discrete…
Descriptors: Computer Mediated Communication, Data Collection, Data Analysis, Discourse Analysis
Murayama, Kou; Sakaki, Michiko; Yan, Veronica X.; Smith, Garry M. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2014
In order to examine metacognitive accuracy (i.e., the relationship between metacognitive judgment and memory performance), researchers often rely on by-participant analysis, where metacognitive accuracy (e.g., resolution, as measured by the gamma coefficient or signal detection measures) is computed for each participant and the computed values are…
Descriptors: Metacognition, Memory, Accuracy, Statistical Analysis
Selvanathan, Rani G. – International Journal of Higher Education, 2013
There are many definitions that are attributable to the meaning of sustainability. Sustainability can be viewed as long-lasting, effective result of a project, venture, action, or investment without consuming additional future resources. Because of the wide nature of its applicability, a universal measure of sustainability is hard to come by. This…
Descriptors: Sustainability, Educational Development, Educational Change, Models
Budhram, Stanley Chandra – ProQuest LLC, 2011
Stroke is not only a serious medical problem, but it also poses an enormous economic burden on society. Stroke ranks the third as the leading cause of death in the United States behind heart disease and cancer. The survivors of stroke suffer from various degrees of long-term disability which create a severe financial burden on society. University…
Descriptors: Health Services, Cost Effectiveness, Death, Patients
Leite, Walter L.; Zuo, Youzhen – Structural Equation Modeling: A Multidisciplinary Journal, 2011
Among the many methods currently available for estimating latent variable interactions, the unconstrained approach is attractive to applied researchers because of its relatively easy implementation with any structural equation modeling (SEM) software. Using a Monte Carlo simulation study, we extended and evaluated the unconstrained approach to…
Descriptors: Monte Carlo Methods, Structural Equation Models, Evaluation, Researchers

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