Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 681

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Tau-b or Not Tau-b: Measuring the Similarity of Foreign Policy Positions

Signorino, Curtis S., Ritter, Jeffrey M.·1999·International Studies Quarterly

Abstract

The pattern of alliances among states is commonly assumed to reflect the extent to which states have common or conflicting security interests. For the past twenty years, Kendall's τb has been used to measure the similarity of nations' “portfolios” of alliance commitments. Widely employed indicators of systemic polarity, state utility, and state risk propensity all rely on τb. We demonstrate that τb is inappropriate for measuring the similarity of states' alliance policies. We develop an alternative measure of policy portfolio similarity, S, which avoids many of the problems associated with τb, and we use data on alliances among European states to compare S to τb. Finally, we identify several problems with inferring state interests from alliances alone, and we provide a method to overcome those problems using S in combination with data on alliances, trade, UN votes, diplomatic missions, and other types of state interaction. We demonstrate this by comparing the calculated similarity of foreign policy positions based solely on alliance data to that based on alliance data supplemented with UN voting data.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1111/0020-8833.00113

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 681

Metadata

Authors
Signorino, C. S., & Ritter, J. M.
Venue
International Studies Quarterly
Published
1999-03
Volume
43
Issue
1
Pages
115-144
ISSN
  • 0020-8833 (ISSN-L)
  • 1468-2478
OpenAlex
W2027930544
Cited by
681
References
1
FWCI
67.78
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Tau-b or Not Tau-b: Measuring the Similarity of Foreign Policy Positions. https://app.cochat.ai/papers/10.1111/0020-8833.00113
The paper
Signorino, C. S., & Ritter, J. M. (1999). Tau-b or Not Tau-b: Measuring the Similarity of Foreign Policy Positions. International Studies Quarterly. https://doi.org/10.1111/0020-8833.00113

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.