Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 0 |
Since 2006 (last 20 years) | 2 |
Descriptor
Classification | 3 |
Monte Carlo Methods | 3 |
Predictor Variables | 2 |
Academic Discourse | 1 |
Computation | 1 |
Data Analysis | 1 |
Decision Making | 1 |
Elementary Education | 1 |
Factor Analysis | 1 |
Faculty Publishing | 1 |
Flow Charts | 1 |
More ▼ |
Author
Davis, John L. | 1 |
DeCoster, Jamie | 1 |
Gallucci, Marcello | 1 |
Iselin, Anne-Marie R. | 1 |
Rocci, Roberto | 1 |
Smith, Stacey L. | 1 |
Vannest, Kimberly J. | 1 |
Vichi, Maurizio | 1 |
Publication Type
Journal Articles | 3 |
Reports - Descriptive | 3 |
Education Level
Elementary Education | 1 |
Grade 5 | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Smith, Stacey L.; Vannest, Kimberly J.; Davis, John L. – Psychology in the Schools, 2011
The reliability of data is a critical issue in decision-making for practitioners in the school. Percent Agreement and Cohen's kappa are the two most widely reported indices of inter-rater reliability, however, a recent Monte Carlo study on the reliability of multi-category scales found other indices to be more trustworthy given the type of data…
Descriptors: Monte Carlo Methods, Interrater Reliability, Flow Charts, Computation
DeCoster, Jamie; Iselin, Anne-Marie R.; Gallucci, Marcello – Psychological Methods, 2009
Despite many articles reporting the problems of dichotomizing continuous measures, researchers still commonly use this practice. The authors' purpose in this article was to understand the reasons that people still dichotomize and to determine whether any of these reasons are valid. They contacted 66 researchers who had published articles using…
Descriptors: Statistical Analysis, Classification, Monte Carlo Methods, Predictor Variables
Rocci, Roberto; Vichi, Maurizio – Psychometrika, 2005
A new methodology is proposed for the simultaneous reduction of units, variables, and occasions of a three-mode data set. Units are partitioned into a reduced number of classes, while, simultaneously, components for variables and occasions accounting for the largest common information for the classification are identified. The model is a…
Descriptors: Factor Analysis, Classification, Least Squares Statistics, Monte Carlo Methods