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Showing 1 to 15 of 17 results Save | Export
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Bimler, David; Uusküla, Mari – Field Methods, 2021
When informants from a given culture are asked to list items from a specified semantic domain, their lists provide two indicators of each term's prominence or salience: its frequency of appearance across lists and its mean position within the lists that include it. Smith et al. (1995), Sutrop (2001), and most recently Robbins et al. (2017) have…
Descriptors: Semantics, Incidence, Correlation, Graphs
Gould, Kaitlin; Gaither, Jamie; Dart, Evan; Weaver, Adam D. – Communique, 2018
Single-case design (SCD) methodology, in which data are displayed in a line graph, can be helpful in determining intervention effectiveness in research and practice. Using visual inspection of graphed data, researchers and practitioners can explore the existence of a functional relationship between implementation of the intervention and a…
Descriptors: School Psychologists, Intervention, Graphs, Data
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Dean, Kevin – European Journal of Physics Education, 2017
This paper represents a continuation of the theoretical and computational work from an earlier publication, with the present calculations using exactly the same physical values for the lengths L (0.435 m - 2.130 m) for the conical pendulum, mass m = 0.1111 kg, and with the local value of the acceleration due to gravity g = 9.789 ms[superscript…
Descriptors: Physics, Science Instruction, Graphs, Equations (Mathematics)
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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
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Yu, Chong Ho; Douglas, Samantha; Lee, Anna; An, Min – Practical Assessment, Research & Evaluation, 2016
This paper aims to illustrate how data visualization could be utilized to identify errors prior to modeling, using an example with multi-dimensional item response theory (MIRT). MIRT combines item response theory and factor analysis to identify a psychometric model that investigates two or more latent traits. While it may seem convenient to…
Descriptors: Visualization, Item Response Theory, Sample Size, Correlation
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Salgueiro, M. Fatima; Smith, Peter W. F.; McDonald, John W. – Multivariate Behavioral Research, 2010
Connections between graphical Gaussian models and classical single-factor models are obtained by parameterizing the single-factor model as a graphical Gaussian model. Models are represented by independence graphs, and associations between each manifest variable and the latent factor are measured by factor partial correlations. Power calculations…
Descriptors: Models, Graphs, Factor Analysis, Correlation
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Phelps, James L. – Educational Considerations, 2011
One of the most influential studies affecting educational policy is Glass and Smith's 1978 study, "Meta-Analysis of Research on the Relationship of Class-Size and Achievement." Since its publication, educational policymakers have referenced it frequently as the justification for reducing class size. While teachers and the public had long believed…
Descriptors: Class Size, Educational Research, Meta Analysis, Academic Achievement
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Oravecz, Zita; Tuerlinckx, Francis; Vandekerckhove, Joachim – Psychological Methods, 2011
In this article a continuous-time stochastic model (the Ornstein-Uhlenbeck process) is presented to model the perpetually altering states of the core affect, which is a 2-dimensional concept underlying all our affective experiences. The process model that we propose can account for the temporal changes in core affect on the latent level. The key…
Descriptors: Individual Differences, Calculus, Models, Investigations
Rijmen, Frank – Educational Testing Service, 2009
Three multidimensional item response theory (IRT) models for testlet-based tests are described. In the bifactor model (Gibbons & Hedeker, 1992), each item measures a general dimension in addition to a testlet-specific dimension. The testlet model (Bradlow, Wainer, & Wang, 1999) is a bifactor model in which the loadings on the specific dimensions…
Descriptors: Item Response Theory, Models, Graphs, Comparative Analysis
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Maas, Anneke P. H. M.; Didden, Robert; Bouts, Lex; Smits, Marcel G.; Curfs, Leopold M. G. – Research in Developmental Disabilities: A Multidisciplinary Journal, 2009
Individuals with Prader-Willi syndrome (PWS) are at risk for excessive daytime sleepiness (EDS) and disruptive behavior. This pilot study explores temporal characteristics of EDS and severe disruptive behavior across time of day and day of week in seven individuals with PWS (aged between 33 and 49 years) of whom five were matched to controls.…
Descriptors: Mental Retardation, Risk, Sleep, Behavior Problems
Stellefson, Michael; Hanik, Bruce – Online Submission, 2008
When conducting an exploratory factor analysis, the decision regarding the number of factors to retain following factor extraction is one that the researcher should consider very carefully, as the decision can have a dramatic effect on results. Although there are numerous strategies that can and should be utilized when making this decision,…
Descriptors: Factor Analysis, Factor Structure, Research Methodology, Evaluation Methods
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Parker, Richard I.; Hagan-Burke, Shanna – Behavior Modification, 2007
This article takes a further look at the percentage of data points exceeding the median (PEM) analysis method for single-case research data, first presented in this journal by Hsen-Hsing Ma. Ma examined the relationship between PEM and the established percentage of nonoverlapping data (PND) and then applied PEM in a meta-analysis of 61 data sets,…
Descriptors: Research Design, Meta Analysis, Case Studies, Outcomes of Treatment
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Adams, Arthur J.; Shiffler, Ronald E. – Educational and Psychological Measurement, 1989
New methods of analysis--equations and graphs for iso-r(sup 2) contours--were introduced and used to illustrate location effects for pooled data sets. The "r(sup 2)" is the coefficient of determination. Results are used to highlight imprecise statements in the literature about the behavior of the correlation coefficient for pooled data…
Descriptors: Correlation, Equations (Mathematics), Graphs, Mathematical Models
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Browne, Michael W. – Psychometrika, 1992
Structural models that yield circumplex inequality patterns are reviewed, focusing on a model developed by T. W. Anderson (1960). A modification is proposed to this model to allow for negative correlations. This model may be reparameterized as a factor analysis model with nonlinear constraints on the factor loadings. (SLD)
Descriptors: Correlation, Equations (Mathematics), Factor Analysis, Graphs
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Blair, R. Clifford; And Others – Multivariate Behavioral Research, 1994
Multivariate permutation tests are described, and some are suggested as substitutions for Hotelling's one-sample T2 test in common situations in behavioral science research. A Monte Carlo study shows advantages of these tests when the T2 test fails or is suspect. (SLD)
Descriptors: Behavioral Science Research, Correlation, Graphs, Hypothesis Testing
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