Erin K Little
Biographic Data
| ID | 4380427 |
|---|---|
| NAME | Erin K Little |
| GIVEN NAMES | Erin K |
| FAMILY NAME | Little |
| SIGNATURE | LITTLE E K |
| AFFILIATIONS | University of Alabama |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 54 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2020 |
| H-INDEX | 2 |
The Importance of Correct Measurement
Palmer, D’Orazio, Kenwick, and McManus (PDKM) review a minority of changes we made to the CoW MID data, agree with most of those changes, but then argue that no scientific findings will be influenced by these or the thousands of changed values they ignore. We respond in two ways. First, we point out that principles of good science dictate that we discard dispute cases that either cannot be substantiated by the historical record or that do not mee…
Heterogeneity in the Militarized Interstate Disputes (MIDs), 1816–2001
We examine a major source of heterogeneity across cases in the Correlates of War Militarized Interstate Dispute Dataset, 1816–2001, and demonstrate that this variation across cases biases most analyses of conflict. Disputes are coded using two logics—the familiar state-to-state militarized action represents one case while the second relies on sponsor governments to protest state targeting of private citizens. We show that the latter introduces ad…
An Analysis of the Militarized Interstate Dispute (MID) Dataset, 1816–2001
This research note discusses a five-year examination of the original coding work of the Militarized Interstate Dispute (MID) project. After strictly applying MID coding rules, we recommend dropping 251 cases (or over 10% of the dataset), as either we were unable to find a militarized incident in the historical record or the dispute appeared elsewhere in the data. We found evidence linking 75 disputes to other cases, and we could not identify 19 c…
An Analysis of the Militarized Interstate Dispute (MID) Dataset, 1816–2001
This research note discusses a five-year examination of the original coding work of the Militarized Interstate Dispute (MID) project. After strictly applying MID coding rules, we recommend dropping 251 cases (or over 10% of the dataset), as either we were unable to find a militarized incident in the historical record or the dispute appeared elsewhere in the data. We found evidence linking 75 disputes to other cases, and we could not identify 19 c…
Heterogeneity in the Militarized Interstate Disputes (MIDs), 1816–2001
We examine a major source of heterogeneity across cases in the Correlates of War Militarized Interstate Dispute Dataset, 1816–2001, and demonstrate that this variation across cases biases most analyses of conflict. Disputes are coded using two logics—the familiar state-to-state militarized action represents one case while the second relies on sponsor governments to protest state targeting of private citizens. We show that the latter introduces ad…
The Importance of Correct Measurement
Palmer, D’Orazio, Kenwick, and McManus (PDKM) review a minority of changes we made to the CoW MID data, agree with most of those changes, but then argue that no scientific findings will be influenced by these or the thousands of changed values they ignore. We respond in two ways. First, we point out that principles of good science dictate that we discard dispute cases that either cannot be substantiated by the historical record or that do not mee…
An Analysis of the Militarized Interstate Dispute (MID) Dataset, 1816–2001
This research note discusses a five-year examination of the original coding work of the Militarized Interstate Dispute (MID) project. After strictly applying MID coding rules, we recommend dropping 251 cases (or over 10% of the dataset), as either we were unable to find a militarized incident in the historical record or the dispute appeared elsewhere in the data. We found evidence linking 75 disputes to other cases, and we could not identify 19 c…
Heterogeneity in the Militarized Interstate Disputes (MIDs), 1816–2001
We examine a major source of heterogeneity across cases in the Correlates of War Militarized Interstate Dispute Dataset, 1816–2001, and demonstrate that this variation across cases biases most analyses of conflict. Disputes are coded using two logics—the familiar state-to-state militarized action represents one case while the second relies on sponsor governments to protest state targeting of private citizens. We show that the latter introduces ad…
The Importance of Correct Measurement
Palmer, D’Orazio, Kenwick, and McManus (PDKM) review a minority of changes we made to the CoW MID data, agree with most of those changes, but then argue that no scientific findings will be influenced by these or the thousands of changed values they ignore. We respond in two ways. First, we point out that principles of good science dictate that we discard dispute cases that either cannot be substantiated by the historical record or that do not mee…
Economics (3 works) · Coding (social sciences (2 works) · International Relations and Foreign Policy (2 works) · Political science (2 works) · Positive economics (2 works) · Social science (2 works) · Sociology (2 works) · Affect (linguistics (1 work) · Bioinformatics and Genomic Networks (1 work) · Complex Network Analysis Techniques (1 work)