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| Leadership Trait Analysis× | Content Analysis of Political Speeches× | |
|---|---|---|
| Campo | International Relations | International Relations |
| Famiglia | Process / pipeline | Process / pipeline |
| Anno di origine≠ | 1980 | 2013 |
| Ideatore≠ | Margaret G. Hermann | Content-analysis tradition; computational treatment by Justin Grimmer & Brandon Stewart |
| Tipo≠ | Content-analytic personality profiling of leaders | Systematic coding and computational analysis of political text |
| Fonte seminale≠ | Hermann, M. G. (1980). Explaining foreign policy behavior using the personal characteristics of political leaders. International Studies Quarterly, 24(1), 7–46. DOI ↗ | Grimmer, J., & Stewart, B. M. (2013). Text as data: The promise and pitfalls of automatic content analysis methods for political texts. Political Analysis, 21(3), 267–297. DOI ↗ |
| Alias | LTA, Personality Profiling at a Distance, Hermann Leadership Trait Analysis, Foreign-Policy Leadership Profiling | Political Speech Content Analysis, Foreign-Policy Text Analysis, Quantitative Speech Analysis in IR, At-a-Distance Speech Coding |
| Correlati | 3 | 3 |
| Sintesi≠ | Leadership Trait Analysis (LTA), developed by Margaret Hermann (1980), profiles political leaders' personalities from their spoken words to explain and anticipate foreign-policy behavior. It scores seven characteristics — the belief in one's ability to control events, the need for power, conceptual complexity, self-confidence, distrust of others, in-group bias, and task focus — from patterns in a leader's verbal material, norms them against reference groups, and combines them into broader leadership styles. It is a leading at-a-distance method for assessing leaders who cannot be interviewed or tested directly. | Content analysis of political speeches turns the public words of foreign-policy actors — leaders' addresses, UN General Assembly statements, parliamentary debates, press briefings — into systematic, comparable measures. Spanning classic human-coded content analysis and modern text-as-data methods surveyed by Grimmer and Stewart (2013), it lets researchers quantify what leaders say: their threat perceptions, hostility, cooperative or conflictual orientation, issue priorities, and rhetorical positions, so that rhetoric can be tracked over time, compared across actors, and related to behavior. |
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