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) | 1 |
Descriptor
| Computation | 2 |
| Multivariate Analysis | 2 |
| Sampling | 2 |
| Computer Software | 1 |
| Evaluation Research | 1 |
| Measurement Techniques | 1 |
| Nonparametric Statistics | 1 |
| Statistical Bias | 1 |
Source
| Psychological Methods | 2 |
Author
| Groenen, Patrick J. F. | 1 |
| Linting, Marielle | 1 |
| Meulman, Jacqueline J. | 1 |
| Overall, John E. | 1 |
| Tonidandel, Scott | 1 |
| van der Kooij, Anita J. | 1 |
Publication Type
| Journal Articles | 2 |
| Reports - Evaluative | 1 |
| Reports - Research | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkLinting, Marielle; Meulman, Jacqueline J.; Groenen, Patrick J. F.; van der Kooij, Anita J. – Psychological Methods, 2007
Principal components analysis (PCA) is used to explore the structure of data sets containing linearly related numeric variables. Alternatively, nonlinear PCA can handle possibly nonlinearly related numeric as well as nonnumeric variables. For linear PCA, the stability of its solution can be established under the assumption of multivariate…
Descriptors: Multivariate Analysis, Computation, Nonparametric Statistics, Statistical Bias
Tonidandel, Scott; Overall, John E. – Psychological Methods, 2004
A split-sample replication criterion originally proposed by J. E. Overall and K. N. Magee (1992) as a stopping rule for hierarchical cluster analysis is applied to multiple data sets generated by sampling with replacement from an original simulated primary data set. An investigation of the validity of this bootstrap procedure was undertaken using…
Descriptors: Computer Software, Sampling, Multivariate Analysis, Computation
