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Volumn 35, Issue 4, 2005, Pages 731-744

Correcting for small group inflation of roll-call cohesion scores

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EID: 25444491712     PISSN: 00071234     EISSN: None     Source Type: Journal    
DOI: 10.1017/S0007123405000372     Document Type: Review
Times cited : (51)

References (52)
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    • and Lee F. Anderson, Meredith W. Watts Jr and Allen R. Wilcox, Legislative Roll-Call Analysis (Evanston, Ill.: Northwestern University Press, 1966) caution against blind use of traditional statistical methods to analyse cohesion scores. But no scholar I am aware of has investigated Rice cohesion scores' statistical properties. Interestingly enough, a number of scholars nearly stumbled upon the problem and solution.
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    • For example, studying the Swiss Parliament, Prisca Lanfranchi and Ruth Luthi, 'Cohesion of Party Groups and Interparty Conflict in the Swiss Parliament: Roll Call Voting in the National Council', in Shawn Bowler, David M. Farrell and Richard S. Katz, eds, Party Discipline and Parliamentary Government (Columbus: Ohio State University Press, 1999), pp. 99-120, at p. 108, find that 'the Rice Index is in most cases higher for non-governmental party groups than for the three "bourgeois" governmental parties (Radicals, Christian Democrats, People's Party).' Coincidentally, the non-governmental parties are also smaller than most governmental parties.
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    • He describes the interpretation of cohesion scores as follows: 'Are the Republican members in a state senate more alike in their votes than are the members of the senate generally? If so, it may be inferred that they are more like-minded and the Republican group may be called more cohesive than the senate as a whole' (Rice, Quantitative Methods in Political Science, p. 208).
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    • Reported scores usually represent the average cohesion score for a party across all roll-call votes cast during a year or legislative term. See Anderson et al., Legislative Roll-Call Analysis, for a discussion of methods for averaging across multiple roll-call votes.
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    • note
    • Generalizing to n odd just requires changing the summation range's maximum value for the second term in (4) from k = n/2 to k = (n - 1)/2.
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    • note
    • The algebra is in Appendix A.
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    • note
    • Additional details on the simulations are provided in the Appendices.
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    • note
    • ijr).
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    • note
    • I explored several methods for subtracting an inflation factor. All but one approach failed to eliminate the relationship between party size and cohesion score. The approach that worked required assuming that p is constant across all roll-call votes - i.e., on all votes, legislators face exactly the same net pressures and positions. This assumption would be completely unrealistic for all legislatures I am familiar with.
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    • note
    • I excluded legislators that were not in a party, and a small party that only voted on two bills.
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    • note
    • A beta with parameters (1,1) is effectively a uniform distribution. I experimented with other parameters. Results were unchanged for any symmetric distribution (α = β). Cohesion scores did increase for any skewed distribution, but the small party inflation persisted.


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