Data and Measurement

The measurement of complex social constructs is often at the center of my research program, and I have been involved in the development of several data sources in international realtions, including the Civilian Control Scores dataset (v1), the Borders and Boundaries data set family, the Militarized Interstate Dispute data (v4-5), and the Human Rights Scores data (v4). You can find more information about each of them below.

Civilian Control Scores

Access the Data

The Civilian Control Scores Dataverse

Citation of Record

Kenwick, Michael R. 2020. “Self-Reinforcing Civilian Control: A Measurement-Based Analysis of Civil-Military Relations.” International Studies Quarterly. doi: 10.1093/isq/sqz092

Description Civilian control of political institutions is an essential condition for stability in any political regime. Yet, countries vary wildly in the extent to which the armed forces have been removed from political institutions. The latent Civilian Control Scores (CCS) data provide a quantitative measure of civilian control, defined as the extent to which civilians dominate political decision-making and the robustness of this dominance to military involvement in politics.

These scores are available for virtually all countries from 1946 to 2010. Two sets of estimates are available, one static and the other dynamic. The static measure estimates civilian control based exclusively on a country’s political institutions at the outset of a particular year. The dynamic measure includes these elements, but also incorporates history into account using a dynamic modeling structure. The latter was constructed and validated to test a theory of self-reinforcing civilian control.

Full replication files for the article of record are available here.

Advice for Practitioners

Latent variable models are an increasingly common way to measure unobservable political phenomena. You can find a general overview of latent variable modeling here, and a discussion of dynamic modeling strategies here. Like many latent variable models, one useful attribute of the CCS is that they include estimates of uncertainty around the latent trait. These can be incorporated in to regression modeling using the same tools applied in multiple imputation .

The Borders and Boundaries Data

Access the Data

Border Orientation Scores
Border Crossings of the World 2.0 Data (coming soon)
International Border Walls (coming soon)

Citation of Record

Beth A. Simmons and Michael R. Kenwick. 2022. “Border Orientation in a Globalizing World.” American Journal of Political Science. (Forthcoming).

Description Throughout the world, states are increasingly building physical infrastructure to project control over their international borders. The Borders and Boundaries family of datasets document these trends. The Border Crossings of the World (BCW) data set tracks the physical infrastructure that states have built at points where highways cross international borders. The data set tags the presence of gates, official buildings, and split-lane inspections facilities. The international border walls data set documents and geolocates border walls and fences intended to block transnational flows of goods and people. Both types of infrastructure speak to a country’s overall “border orientation” or the extent to which it is committed to the spatial display of its capacity to control the terms of penetration of its national borders. The border orientation scores data set documents whether and where countries have adopted a permissive or controlling orientations based on these infrastructural data sources. The Borders and Boundaries family of data sets is supported by the National Science Foundation (SES:1917573).

The Militarized Interstate Dispute (MID, v.4-5)

Access the Data

The Militarized Interstate Dispute 5.0 Dataset

Citation of Record

Palmer, Glenn, Roseanne W McManus, Vito D’Orazio, Michael R Kenwick, Mikaela Karstens, Chase Bloch, Nick Dietrich, Kayla Kahn, Kellan Ritter, and Michael J Soules. 2021. “The MID5 Dataset, 2011–2014: Procedures, Coding Rules, and Description.” Conflict Management and Peace Science

Description The Militarized Interstate Dispute (v.5) data records information about threats, displays, and uses of military force among states in the international system from 1816 to 2014. Information about individual incidents, which compose the disputes, are also available and have been used in a wide variety of empirical studies on international conflict processes.

Human Rights Scores (v.4)

Access the Data

Latent Human Rights Protection Scores v4.0

Citation of Record

Christopher J. Fariss, Michael R. Kenwick, and Kevin Reuning. 2020. "Estimating one-sided-killings from a Robust Measurement Model of Human Rights" Journal of Peace Research 57(6):801-814.

Description The Human Rights Scores data measure the extent to which states in the international system respect or abuse physical integrity rights. The measure was originally developed by Schnakenberg and Fariss (2014) and refined by Fariss (2014) to account for temporal biases in human rights reports and the increasingly stringent standards by which countries are judged. The fourth version of these data extend the scores temporally, incorporate dynamic modeling techniques to account for rapid changes in respect for human rights, and to generate improved estimates of which states engaged in one-sided killings of their civilians, even in instances where direct evidence of these atrocities is missing.