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Modern View
ZIGERELL, L J
(3)
answer(s).
Srl
Item
1
ID:
117582
Don't know much about democracy: reporting survey data with nonsubstantive responses
/ Reilly, Jonathan; Zigerell, L J
Zigerell, L J
Journal Article
0 Rating(s) & 0 Review(s)
Publication
2012.
Summary/Abstract
Large majorities in nearly every country support democracy, according to studies of cross-national surveys. But many of these reports have treated as missing data persons who did not provide a substantive response when asked to offer an opinion about the suitability of democracy as a regime type for their country, which has led to substantial overestimates of expressed support for democracy in some countries. This article discusses the consequences of excluding such nonsubstantive responses and offers suggestions to improve the study of popular support for democracy.
Key Words
Cross National Surveys
;
Iran - Democracy - 1941-1953
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2
ID:
110645
Of publishable quality: ideas for political science seminar papers
/ Zigerell, L J
Zigerell, L J
Journal Article
0 Rating(s) & 0 Review(s)
Publication
2011.
Summary/Abstract
Many political science publications advance knowledge using previously collected data and an innovation or two in theory or methods. To encourage students embarking on a seminar paper project, I review some of these publications to illustrate that the understanding of political phenomena often advances in incremental steps.
Key Words
Political Science
;
Political Science Seminar Papers
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3
ID:
156198
Reducing political bias in political science estimates
/ Zigerell, L J
Zigerell, L J
Journal Article
0 Rating(s) & 0 Review(s)
Summary/Abstract
Political science researchers have flexibility in how to analyze data, how to report data, and whether to report on data. A review of examples of reporting flexibility from the race and sex discrimination literature illustrates how research design choices can influence estimates and inferences. This reporting flexibility—coupled with the political imbalance among political scientists—creates the potential for political bias in reported political science estimates. These biases can be reduced or eliminated through preregistration and preacceptance, with researchers committing to a research design before completing data collection. Removing the potential for reporting flexibility can raise the credibility of political science research.
Key Words
Reducing Political Bias
;
Political Science Estimates
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