NotesFAQContact Us
Collection
Advanced
Search Tips
What Works Clearinghouse Rating
Showing 751 to 765 of 1,165 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Chermack, Thomas J.; Nimon, Kim – Human Resource Development Quarterly, 2008
This research examines changes in decision-making styles as a result of participation in scenario planning. A quasi-experimental pretest-posttest design and several nonparametric tests were used to analyze data gathered from research participants in a technology firm in the Northeastern United States. Results show that participants tend to…
Descriptors: Decision Making, Cognitive Style, Quasiexperimental Design, Pretests Posttests
Peer reviewed Peer reviewed
Direct linkDirect link
Scheiblechner, Hartmann – Psychometrika, 2007
The (univariate) isotonic psychometric (ISOP) model (Scheiblechner, 1995) is a nonparametric IRT model for dichotomous and polytomous (rating scale) psychological test data. A weak subject independence axiom W1 postulates that the subjects are ordered in the same way except for ties (i.e., similarly or isotonically) by all items of a psychological…
Descriptors: Psychometrics, Intervals, Rating Scales, Psychological Testing
Peer reviewed Peer reviewed
Direct linkDirect link
Beeny, Claudia K.; Garvey-Nix, Ruth C.; Rhodes, Gale S.; Terrell, Patricia S. – NASPA Journal, 2008
A university governing board's influence on institutional policy is undeniable. Educating board members about student affairs issues is essential to ensuring a well-informed, effective board. This study examined the relationship between student affairs and the board's student affairs committee (SAC). An 89-item survey was developed and…
Descriptors: Governing Boards, Student Personnel Services, Advisory Committees, Professional Associations
Peer reviewed Peer reviewed
Janson, Svante; Vegelius, Jan – Applied Psychological Measurement, 1978
The possibility of using component analysis for nominal data is discussed. Two nominal scale correlation coefficients are applicable. Tschuprow's coefficient and the J index. The reason is that they satisfy the requirements of a scalar product between normalized vectors in a Euclidean space. Some characteristics of these coefficients are…
Descriptors: Correlation, Mathematical Models, Nonparametric Statistics
Peer reviewed Peer reviewed
de Leeuw, Jan – Psychometrika, 1977
Kruskal has proposed two modifications of monotone regression that can be applied if there are ties in nonmetric scaling data. In this note Kruskal's conjecture that his algorithms give the optimal least squares solution of these modified monotone regression problems is proven. Also, an additional approach is proposed. (Author/JKS)
Descriptors: Multiple Regression Analysis, Nonparametric Statistics
Peer reviewed Peer reviewed
Wolfe, Jack M. – Journal of Educational Measurement, 1971
Descriptors: Classification, Computation, Correlation, Nonparametric Statistics
Peer reviewed Peer reviewed
Phillips, J. P. N. – Psychometrika, 1982
An algorithm, using a short cut due to Feldman and Klingler, for the Fisher-Yates exact test is presented. The algorithm is quick, simple and accurate. (Author)
Descriptors: Algorithms, Expectancy Tables, Nonparametric Statistics
Peer reviewed Peer reviewed
Hammond, Sean M.; Lienert, Gustav A. – Educational and Psychological Measurement, 1995
A nonparametric class of intervariable association indeces is presented that follows the logic of point symmetry adjustment of the Pearsonian phi coefficient. This approach is extended to multipoint scales. These indeces may be attractive alternatives to the Pearson correlation coefficient for multivariate analyses. (SLD)
Descriptors: Multivariate Analysis, Nonparametric Statistics, Scaling
Rosenthal, James A. – Springer, 2011
Written by a social worker for social work students, this is a nuts and bolts guide to statistics that presents complex calculations and concepts in clear, easy-to-understand language. It includes numerous examples, data sets, and issues that students will encounter in social work practice. The first section introduces basic concepts and terms to…
Descriptors: Statistics, Data Interpretation, Social Work, Social Science Research
Peer reviewed Peer reviewed
Direct linkDirect link
Grilli, Leonardo; Mealli, Fabrizia – Journal of Educational and Behavioral Statistics, 2008
The authors propose a methodology based on the principal strata approach to causal inference for assessing the relative effectiveness of two degree programs with respect to the employment status of their graduates. An innovative use of nonparametric bounds in the principal strata framework is shown, examining the role of some assumptions in…
Descriptors: Political Science, Employment Level, Outcomes of Education, Nonparametric Statistics
Peer reviewed Peer reviewed
Direct linkDirect link
Jang, Eunice Eunhee; Roussos, Louis – Journal of Educational Measurement, 2007
This article reports two studies to illustrate methodologies for conducting a conditional covariance-based nonparametric dimensionality assessment using data from two forms of the Test of English as a Foreign Language (TOEFL). Study 1 illustrates how to assess overall dimensionality of the TOEFL including all three subtests. Study 2 is aimed at…
Descriptors: Reading Comprehension, Nonparametric Statistics, Listening Comprehension, Hypothesis Testing
Peer reviewed Peer reviewed
Vegelius, Jan – Educational and Psychological Measurement, 1975
The program can perform any one of those nonparametric statistical methods that is mentioned in Sidney Siegel's classical work on the subject. The user is free to select among the methods and also among the samples that are read by the program. When a particular set of samples has been treated in the prescribed way, a new set may follow together…
Descriptors: Computer Programs, Input Output, Nonparametric Statistics
Koffler, Stephen L.; Penfield, Douglas A. – 1980
Two nonparametric statistical methods, the inverse normal scores method and the rank order transformation, are compared for use in discriminant function analysis. The methods are compared for both normal and non-normal distributions. When the distributions are normal, the rank and inverse normal scores methods are effective substitutes for the…
Descriptors: Discriminant Analysis, Hypothesis Testing, Nonparametric Statistics
Peer reviewed Peer reviewed
Bobko, Philip – Psychometrika, 1977
A measure of multiple rank correlation is proposed for the situation of no tied observations in the variables. The measure is a weighted average of two squared Kendall taus. The measure is equivalent to one proposed by Moran. (Author/JKS)
Descriptors: Correlation, Multiple Regression Analysis, Nonparametric Statistics
Peer reviewed Peer reviewed
Stephens, Larry J.; And Others – Journal of Educational Statistics, 1977
Problems associated with ranking a large number of objects are discussed. It is recommended that only a subset of the most preferred objects be ranked by each judge. A test statistic for testing the hypothesis of no difference in preference among the objects is developed for the recommended procedure. (Author/JKS)
Descriptors: Hypothesis Testing, Measurement Techniques, Nonparametric Statistics
Pages: 1  |  ...  |  47  |  48  |  49  |  50  |  51  |  52  |  53  |  54  |  55  |  ...  |  78