NotesFAQContact Us
Collection
Advanced
Search Tips
Publication Date
In 20250
Since 20240
Since 2021 (last 5 years)0
Since 2016 (last 10 years)1
Since 2006 (last 20 years)8
Publication Type
Reports - Evaluative15
Journal Articles12
Speeches/Meeting Papers3
Reports - Research1
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Showing all 15 results Save | Export
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Suzic, Nenad – Research in Pedagogy, 2017
This paper sets out to tackle the issue of the criteria which should be met prior to submission of papers to indexed scientific journals. Firstly, the author addresses the field of qualitative research and tries to define the general characteristics of such works, and secondly, some clarification is brought with respect to the imbalance between…
Descriptors: Writing for Publication, Scholarship, Periodicals, Sciences
Ritter, Nicola L. – Online Submission, 2012
Many researchers recognize that factor analysis can be conducted on both correlation matrices and variance-covariance matrices. Although most researchers extract factors from non-distribution free or parametric methods, researchers can also extract factors from distribution free or non-parametric methods. The nature of the data dictates the method…
Descriptors: Factor Analysis, Comparative Analysis, Correlation, Nonparametric Statistics
Peer reviewed Peer reviewed
Direct linkDirect link
Papadimitriou, Fivos; Kidman, Gillian – International Research in Geographical and Environmental Education, 2012
Certain statistic and scientometric features of articles published in the journal "International Research in Geographical and Environmental Education" (IRGEE) are examined in this paper for the period 1992-2009 by applying nonparametric statistics and Shannon's entropy (diversity) formula. The main findings of this analysis are: (a) after 2004,…
Descriptors: Environmental Education, Scientific Concepts, Nonparametric Statistics, Statistical Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Tchumtchoua, Sylvie; Dey, Dipak K. – Psychometrika, 2012
This paper proposes a semiparametric Bayesian framework for the analysis of associations among multivariate longitudinal categorical variables in high-dimensional data settings. This type of data is frequent, especially in the social and behavioral sciences. A semiparametric hierarchical factor analysis model is developed in which the…
Descriptors: Factor Analysis, Bayesian Statistics, Behavioral Sciences, Social Sciences
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Aristovnik, Aleksander – Turkish Online Journal of Educational Technology - TOJET, 2012
The purpose of the paper is to review some previous researches examining ICT efficiency and the impact of ICT on educational output/outcome as well as different conceptual and methodological issues related to performance measurement. Moreover, a definition, measurements and the empirical application of a model measuring the efficiency of ICT use…
Descriptors: Evidence, Foreign Countries, Educational Research, Nonparametric Statistics
Peer reviewed Peer reviewed
Direct linkDirect link
Coupet, Jason; Barnum, Darold – International Journal of Educational Advancement, 2010
Discussions of efficiency among Historically Black Colleges and Universities (HBCUs) are often missing in academic conversations. This article seeks to assess efficiency of individual HBCUs using Data Envelopment Analysis (DEA), a non-parametric technique that can synthesize multiple inputs and outputs to determine a single efficiency score for…
Descriptors: Black Colleges, Educational Finance, Efficiency, Data Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Cardoso Zoppe, Eva Helena C.; Schoueri, Patricia; Castro, Monica; Neto, Francisco Lotufo – Academic Psychiatry, 2009
Objective: This study evaluates whether a course that was designed for first-year psychiatric residents and that specifically addressed psychodynamic principles fostered residents' progress in knowledge, skills, and attitudes regarding these concepts. Methods: The course was given in the 2005 academic year to all residents (N=18) in their first…
Descriptors: Physicians, Psychiatry, Patients, Correlation
Peer reviewed Peer reviewed
Kraemer, Helena Chmura – Psychometrika, 1981
Asymptotic distribution theory of Brogden's form of biserial correlation coefficient is derived and large sample estimates of its standard error obtained. Its relative efficiency to the biserial correlation coefficient is examined. Recommendations for choice of estimator of biserial correlation are presented. (Author/JKS)
Descriptors: Correlation, Error of Measurement, Mathematical Models, Nonparametric Statistics
Mittag, Kathleen Cage – 1993
Most researchers using factor analysis extract factors from a matrix of Pearson product-moment correlation coefficients. A method is presented for extracting factors in a non-parametric way, by extracting factors from a matrix of Spearman rho (rank correlation) coefficients. It is possible to factor analyze a matrix of association such that…
Descriptors: Correlation, Factor Analysis, Heuristics, Mathematical Models
Peer reviewed Peer reviewed
Direct linkDirect link
Alterman, Arthur I.; Cacciola, John S.; Habing, Brian; Lynch, Kevin G. – Psychological Assessment, 2007
Baseline Addiction Severity Index (5th ed.; ASI-5) data of 2,142 substance abuse patients were analyzed with two nonparametric item response theory (NIRT) methods: Mokken scaling and conditional covariance techniques. Nine reliable and dimensionally homogeneous Recent Problem indexes emerged in the ASI-5's seven areas, including two each in the…
Descriptors: Severity (of Disability), Psychometrics, Patients, Employment
Peer reviewed Peer reviewed
Direct linkDirect link
van Abswoude, Alexandra A. H.; van der Ark, L. Andries; Sijtsma, Klaas – Applied Psychological Measurement, 2004
In this article, an overview of nonparametric item response theory methods for determining the dimensionality of item response data is provided. Four methods were considered: MSP, DETECT, HCA/CCPROX, and DIMTEST. First, the methods were compared theoretically. Second, a simulation study was done to compare the effectiveness of MSP, DETECT, and…
Descriptors: Comparative Analysis, Computer Software, Simulation, Nonparametric Statistics
Peer reviewed Peer reviewed
Zimmerman, Donald W.; Zumbo, Bruno D. – Journal of Experimental Education, 1992
A modified "F" test is derived that includes a correction for nonindependence of between-groups and within-groups sample values in analysis of variance (ANOVA) designs. Computer simulations based on normal and nonnormal distributions illustrate the usefulness of the approach, which was more powerful than conventional within-subjects…
Descriptors: Analysis of Variance, Computer Simulation, Correlation, Mathematical Models
Peer reviewed Peer reviewed
Buja, Andreas; Eyuboglu, Nermin – Multivariate Behavioral Research, 1992
Use of parallel analysis (PA), a selection rule for the number-of-factors problem, is investigated from the viewpoint of permutation assessment through a Monte Carlo simulation. Results reveal advantages and limitations of PA. Tables of sample eigenvalues are included. (SLD)
Descriptors: Computer Simulation, Correlation, Factor Structure, Mathematical Models
Nandakumar, Ratna; Yu, Feng – 1994
DIMTEST is a statistical test procedure for assessing essential unidimensionality of binary test item responses. The test statistic T used for testing the null hypothesis of essential unidimensionality is a nonparametric statistic. That is, there is no particular parametric distribution assumed for the underlying ability distribution or for the…
Descriptors: Ability, Content Validity, Correlation, Nonparametric Statistics
Peer reviewed Peer reviewed
Cohen, Jacob; Lee, Robert S. – Multivariate Behavioral Research, 1987
STATGRAPHICS, a statistical package written for the IBM PC/XT/AT, is reviewed. In addition to superb graphics, STATGRAPHICS is unequalled in time series procedures, quality control, linear programming, and other mathematical procedures. The modules for regression analysis, categorical data analysis, and nonparametric analysis are good, but contain…
Descriptors: Analysis of Variance, Cluster Analysis, Computer Graphics, Computer Software