What to do (and not do) with foreign interventions data: Methodological challenges and solutions

The determinants of foreign interventions, be they military interventions or other forms of foreign involvement, are important for modern international relations and conflict studies. Nevertheless, major methodological problems with the analysis are often overlooked. This paper proposes modeling interventions as a two-stage decision-making process. The first stage determines whether a specific target state is intervenable from the perspective of a potential intervener, while the actual intervention target is selected among intervenable targets at the second stage. On this basis, we propose two solutions that allow obtaining estimates for predictors of an intervention: a statistical model that explicitly accounts for the two-stage nature of the data-generating process, and near-misses sampling. The two approaches are similar in that they treat intervention as a two-stage decision-making process. The authors utilize the second approach to create a sample of non-case observations. Two methods of data collection are used: matching and extracting information from open sources (media articles, reports, official documents). The authors conduct correlation analysis for several sample construction techniques to evaluate differences in empirical significance. The implications of the application of different sampling methods for the study of interventions are discussed.

Authors

Institutions

Publication Details

Journal
International Interactions
Published
2026-06-13
DOI
https://doi.org/10.1080/03050629.2026.2681621
Primary Topic
International Relations and Foreign Policy
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

What to do (and not do) with foreign interventions data: Methodological challenges and solutions

Alexander D. Nesmashnyi, D. N. Chernov, Evgeny Sedashov, Иван Сафранчук
International Interactions
International Relations and Foreign Policy
article

What to do (and not do) with foreign interventions data: Methodological challenges and solutions

Alexander D. Nesmashnyi, D. N. Chernov, Evgeny Sedashov, Иван Сафранчук
article en

Abstract

The determinants of foreign interventions, be they military interventions or other forms of foreign involvement, are important for modern international relations and conflict studies. Nevertheless, major methodological problems with the analysis are often overlooked. This paper proposes modeling interventions as a two-stage decision-making process. The first stage determines whether a specific target state is intervenable from the perspective of a potential intervener, while the actual intervention target is selected among intervenable targets at the second stage. On this basis, we propose two solutions that allow obtaining estimates for predictors of an intervention: a statistical model that explicitly accounts for the two-stage nature of the data-generating process, and near-misses sampling. The two approaches are similar in that they treat intervention as a two-stage decision-making process. The authors utilize the second approach to create a sample of non-case observations. Two methods of data collection are used: matching and extracting information from open sources (media articles, reports, official documents). The authors conduct correlation analysis for several sample construction techniques to evaluate differences in empirical significance. The implications of the application of different sampling methods for the study of interventions are discussed.

International Interactions
National Research University Higher School of Economics (RU), Moscow State Institute of International Relations (RU), University of Bergen (NO)
Peace, Justice and strong institutions
Openalex Percentile: Top 2%
International Relations and Foreign Policy
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

What to do (and not do) with foreign interventions data: Methodological challenges and solutions — Alexander D. Nesmashnyi, D. N. Chernov, et al. · International Interactions (2026) | TGRS Research Map | TGRS