All Academic, Inc. Research Logo

Info/CitationFAQResearchAll Academic Inc.
Document

Parliamentary Party Switching in the Ukrainian Rada, 1998-2002
Unformatted Document Text:  18 Finally, party cohesion mattered. In both models, party selection was statistically significant and correlated with the standard deviation of the party’s W-NOMINATE median. Thus, deputies did not select more cohesive parties, preferring less cohesive ones. This indicates that preference heterogeneity was preferred to preference homogeneity. If deputies considered cohesive parties, not simply their closeness to the party, then we would have expected a different finding. Instead, it appears that preference homogeneity was not an important resource. Before turning to individual-specific results from these models, I want to make a few points about the goodness-of-fit statistics for both models. The corrected model has a higher McFadden’s R 2 , Adjusted McFadden’s R 2 , and Count R 2 than does the uncorrected model. Moreover, in each case the improvement in specificity of the corrected model is striking. These results lend credence to the argument that correcting for selection produces more reliable results. Table 4 About Here The results of the individual-specific variables are presented in tables 4-6. Due to the number of party alternatives, 28, the complete results of the individual-specific results are quite cumbersome. Consequently, I present the results in a simplified form indicating statistical significance and direction of correlation. The full results can be found in the appendix. Table 4 presents the simplified results for all party choices on the single- member district deputy variable. The results show the correlation between being a single-member district deputy and selecting this particular party in comparison to selecting the reference group, the SDPU (o) .

Authors: Thames, Frank.
first   previous   Page 19 of 35   next   last



background image
18
Finally, party cohesion mattered. In both models, party selection was statistically
significant and correlated with the standard deviation of the party’s W-NOMINATE
median. Thus, deputies did not select more cohesive parties, preferring less cohesive
ones. This indicates that preference heterogeneity was preferred to preference
homogeneity. If deputies considered cohesive parties, not simply their closeness to the
party, then we would have expected a different finding. Instead, it appears that
preference homogeneity was not an important resource.
Before turning to individual-specific results from these models, I want to make a
few points about the goodness-of-fit statistics for both models. The corrected model has
a higher McFadden’s R
2
, Adjusted McFadden’s R
2
, and Count R
2
than does the
uncorrected model. Moreover, in each case the improvement in specificity of the
corrected model is striking. These results lend credence to the argument that correcting
for selection produces more reliable results.
Table 4 About Here
The results of the individual-specific variables are presented in tables 4-6. Due to
the number of party alternatives, 28, the complete results of the individual-specific results
are quite cumbersome. Consequently, I present the results in a simplified form indicating
statistical significance and direction of correlation. The full results can be found in the
appendix. Table 4 presents the simplified results for all party choices on the single-
member district deputy variable. The results show the correlation between being a
single-member district deputy and selecting this particular party in comparison to
selecting the reference group, the SDPU
(o)
.


Convention
Need a solution for abstract management? All Academic can help! Contact us today to find out how our system can help your annual meeting.
Submission - Custom fields, multiple submission types, tracks, audio visual, multiple upload formats, automatic conversion to pdf.
Review - Peer Review, Bulk reviewer assignment, bulk emails, ranking, z-score statistics, and multiple worksheets!
Reports - Many standard and custom reports generated while you wait. Print programs with participant indexes, event grids, and more!
Scheduling - Flexible and convenient grid scheduling within rooms and buildings. Conflict checking and advanced filtering.
Communication - Bulk email tools to help your administrators send reminders and responses. Use form letters, a message center, and much more!
Management - Search tools, duplicate people management, editing tools, submission transfers, many tools to manage a variety of conference management headaches!
Click here for more information.

first   previous   Page 19 of 35   next   last

©2008 All Academic, Inc.