Comparing Partial Rank Order Correlations From Contingency Table Data
Bibliographic Data
| ID | 2331413 |
|---|---|
| Authors | Herbert M Kritzer (University of Wisconsin–Madison, corresponding author) |
| Year | 1980 |
| Volume | 8 |
| Issue | 4 |
| Pages | 420-433 |
| Publication date | 1980-05-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Sociological Methods & Research (JOURNAL) |
| Journal identifiers | ISSN: 0049-1241 • E-ISSN: 1552-8294 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/004912418000800404 |
| OpenAlex | W2013733460 |
| Language | EN |
| Citations received | 2 |
| References cited | 13 |
This article describes an asymptotic method for obtaining estimates of variance and covariance for partial rank order correlation coefficients based on contingency table data The approach used is an extension of the Grizzle, Starmer, and Koch technique for the analy sis of complex contingency tables The variance and co variance estimates may be used to test hypotheses concerning the partial correla tions
Analysis of variance · Combinatorics · Contingency table · Correlation · Covariance · Data mining · Econometrics · Extension (predicate logic) · One-way analysis of variance · Partial correlation · Rank (graph theory) · Rank correlation · Statistics · Table (database) · Variance (accounting) · Advanced Statistical Methods and Models · Bayesian Modeling and Causal Inference · Computer Science · Mathematics
Analysis of Categorical Data by Linear Models
The Multivariate Analysis of Ordinal Measures
A New Asymmetric Measure of Association for Ordinal Variables
An Approach to the Multivariate Analysis of Ordinal Data
Analyzing Measures of Association Derived From Contingency Tables
Nonparametric Partial Correlation and Causal Analysis
| Unique citing works | 2 |
|---|---|
| Citations per year | 0,04 |
| Citation span | 1981 - 1990 (10) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 1 |