| ID | 132067 |
| Title Proper | Analyzing text complexity in political science research |
| Language | ENG |
| Author | Cann, Damon M ; Goelzhauser, Greg ; Johnson, Kaylee |
| Publication | 2014. |
| Summary / Abstract (Note) | This article analyzes the text complexity of political science research. Using automated text analysis, we examine the text complexity of a sample of articles from three leading generalist journals and four leading subfield journals. We also examine changes in text complexity across time by analyzing a sample of articles from the discipline's flagship journal during a 100-year span. Although it is not surprising that a typical political science article is difficult to read, it is accessible to intelligent lay readers. We found little difference in text complexity across time or subfield. |
| `In' analytical Note | Political Science and Politics Vol. 47, No.3; Jul 2014: p.663-666 |
| Journal Source | Political Science and Politics Vol. 47, No.3; Jul 2014: p.663-666 |
| Key Words | Political Science Research ; Subfield Journals ; Text Complexity |