Validity Assessment of a Machine-Coded Event Data Set for the Middle East, 1982-92
Bibliographic Data
| ID | 6230145 |
|---|---|
| Authors | Philip A Schrodt (0000-0003-3495-4198, University of Kansas), Deborah J Gerner (University of Kansas) |
| Year | 1994 |
| Volume | 38 |
| Issue | 3 |
| Pages | 825 |
| Publication date | 1994-08-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | American Journal of Political Science (JOURNAL) |
| Journal identifiers | ISSN: 0092-5853 • E-ISSN: 1540-5907 |
| Publisher | JSTOR (PUBLISHER) |
| DOI | 10.2307/2111609 |
| OpenAlex | W2016483048 |
| Language | EN |
| Citations received | 72 |
| References cited | 11 |
This paper is a study of the validity of a machine-coded event data series for six Middle Eastern actors and the United States. The series is based on Reuters newswire story leads coded into the WEIS categories. The face validity of the data is assessed by examining the monthly net cooperation scores based on Goldstein's (1992) scale in comparison to narrative accounts of the interactions between the actors; the event data series clearly shows the major patterns of political interaction. The machinecoded data are also compared to a human-coded WEIS data set based on the The New York Times and Los Angeles Times. Almost all dyads show a statistically significant correlation between the number of events reported by the two series, as well as the number of cooperative events. About half of the dyads show significant correlation in net cooperation and the number of conflictual events; many of these differences appear to be due to the higher density of events in Reuters. Finally, the machine-coded and WEIS data sets are used in two statistical time series studies and are shown to produce generally comparable results. Validity Assessment... 2
Cartography · Correlation · Data series · Data set · Econometrics · Event (particle physics · Face validity · Geography · Narrative · Physics · Psychometrics · Scale (ratio · Series (stratigraphy · Set (abstract data type · Statistics · Artificial Intelligence · Computer Science · Cultural Differences and Values · Mathematics · Psychology · Social Capital and Networks · Terrorism, Counterterrorism, and Political Violence
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Let the User Beware
| Unique citing works | 72 |
|---|---|
| Citations per year | 2,25 |
| Citation span | 1994 - 2025 (32) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 71 |