Localized Autocorrelation Diagnostic Statistic (Lads) for Sociological Models
Time-Series, Network, and Geographic Data Sets
Bibliographic Data
| ID | 2331782 |
|---|---|
| Authors | Clifford (0000-0002-9401-7481), Clifford Nass (Stanford University), Youngme Moon (Stanford University) |
| Year | 1996 |
| Volume | 25 |
| Issue | 2 |
| Pages | 223-247 |
| Publication date | 1996-11-01 |
| 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 | 10.1177/0049124196025002004 |
| OpenAlex | W2016840861 |
| Language | EN |
| References cited | 13 |
Regression models in sociology, because they are often based on data sets with a surfeit of variables and an underlying connectivity pattern, permit the use of unique diagnostic techniques. This article elaborates on the localized autocorrelation diagnostic statistic, LADS, which determines the probability that in a model with N cases, a connected set of size C or more among the E most extreme, same-signed residuals occurred by chance. LADS can suggest variables to be included in a model and can be applied to time-series, geographic, group (i.e., cliques, blocks, clusters, and different values on a nominal variable), and network data. Exact formulas for LADS for time-series and grouped data, as well as principles for the robustness of LADS under global autocorrelation, are introduced, and a general algorithm for all data sets of connected cases is presented. Examples demonstrate how LADS can suggest new variables and improve the overall fit of models
Autocorrelation · Econometrics · Regression analysis · Robustness (evolution) · Series (stratigraphy) · Set (abstract data type) · Statistic · Statistics · Variable (mathematics) · Computer Science · Land Use and Ecosystem Services · Mathematics · Spatial and Panel Data Analysis · Urban, Neighborhood, and Segregation Studies
Nonparametric statistics for the behavioral sciences
Regression Diagnostics
The Interpretation of Statistical Maps
The Contiguity Ratio and Statistical Mapping
The Analysis of Spatial Association by Use of Distance Statistics
The cultural geography of the United States
On the Large-Sample Estimation of Regression Models with Spatial- Or Network-Effects Terms
Local Indicators of Spatial Association—Lisa
Spatial Econometrics
Government Activity and Civil Privatism
Community Development and Metropolitan Religious Commitment
Patterns in Pluralism
| Highly cited | No |
|---|