Replication, Verification, Secondary Analysis, and Data Collection in Political Science

1995 ◽  
Vol 28 (03) ◽  
pp. 452-455 ◽  
Author(s):  
Paul S. Herrnson
Keyword(s):  
Data Collection ◽  
Political Science ◽  
Secondary Analysis

Reducing Political Bias in Political Science Estimates

2017 ◽  
Vol 50 (01) ◽  
pp. 179-183 ◽  
Author(s):  
L. J. Zigerell
Keyword(s):  
Data Collection ◽  
Political Science ◽  
Research Design ◽  
Sex Discrimination ◽  
Science Research ◽  
The Political ◽  
Political Bias ◽  
Report Data ◽  
Analyze Data

ABSTRACTPolitical 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.

scholarly journals Kommunale Handlungsfähigkeit im europäischen Vergleich

2021 ◽  
Author(s):  
Sabine Kuhlmann ◽  
Moritz Heuberger ◽  
Benoît Paul Dumas
Keyword(s):  
Political Science ◽  
Empirical Research ◽  
Secondary Analysis ◽  
Financial Conditions ◽  
The University ◽  
Municipal Autonomy

This book compares the roles of municipalities in Europe, using categories such as municipal autonomy, task profiles, territorial and political frameworks, and financial conditions. Past and present reform trends and discourses are also described and classified. The study constitutes a secondary analysis of existing empirical research and presents current figures from various sources. It was conducted by a team led by Prof. Sabine Kuhlmann from the Department of Political Science, Administration and Organisation at the University of Potsdam.

scholarly journals Separating the Wheat from the Chaff: Applications of Automated Document Classification Using Support Vector Machines

2014 ◽  
Vol 22 (2) ◽  
pp. 224-242 ◽  
Author(s):  
Vito D'Orazio ◽  
Steven T. Landis ◽  
Glenn Palmer ◽  
Philip Schrodt
Keyword(s):  
Data Collection ◽  
Political Science ◽  
Science Research ◽  
Document Classification ◽  
Support Vector ◽  
Data Sets ◽  
Holistic Review ◽  
Militarized Interstate Dispute ◽  
Research Initiatives ◽  
Automated Document Classification

Due in large part to the proliferation of digitized text, much of it available for little or no cost from the Internet, political science research has experienced a substantial increase in the number of data sets and large-nresearch initiatives. As the ability to collect detailed information on events of interest expands, so does the need to efficiently sort through the volumes of available information. Automated document classification presents a particularly attractive methodology for accomplishing this task. It is efficient, widely applicable to a variety of data collection efforts, and considerably flexible in tailoring its application for specific research needs. This article offers a holistic review of the application of automated document classification for data collection in political science research by discussing the process in its entirety. We argue that the application of a two-stage support vector machine (SVM) classification process offers advantages over other well-known alternatives, due to the nature of SVMs being a discriminative classifier and having the ability to effectively address two primary attributes of textual data: high dimensionality and extreme sparseness. Evidence for this claim is presented through a discussion of the efficiency gains derived from using automated document classification on the Militarized Interstate Dispute 4 (MID4) data collection project.

Subfield Hockey: A Reaction to Matthew Moore's National Survey of Political Theorists

2010 ◽  
Vol 43 (02) ◽  
pp. 275-277
Author(s):  
Kennan Ferguson
Keyword(s):  
Data Collection ◽  
Political Theory ◽  
Political Science ◽  
National Survey ◽  
Horse Race ◽  
Rank Ordering ◽  
Unanswerable Question ◽  
Normative Political Theory

AbstractThis survey's importance comes not from what it informs us about political theory as a field, but rather from the function it serves within debates over the component areas of the field of political science. Rather than answering whether political theory “belongs” within political science (an unanswerable question), the survey uses quantification of qualitative experience and data collection to consolidate political theory as a subfield. Thus success of this project relies upon and reinforces disciplinary norms, operating as a process that attempts to bring a normative political theory into existence. The rank ordering of departments, journals, and individual theorists proves appealing not only for the competitive, horse-race valuation of those people and institutions, but also for how they ultimately resist this project by showing the anti-normative heart of political theory: an important and useful survey indeed.

Parlamentarismusforschung

2020 ◽  
Author(s):  
Werner J. Patzelt
Keyword(s):  
Data Analysis ◽  
Data Collection ◽  
Political Science ◽  
Quantitative Methods ◽  
Science Research ◽  
Qualitative And Quantitative ◽  
Qualitative And Quantitative Methods ◽  
Current State

This volume presents the current state of German parliamentary research with respect to topics, theories and methods. All of that is put into the contexts of both German traditions of parliamentary ideas and pertinent international discussions. In addition, the book discusses the qualitative and quantitative methods used in data collection and data analysis and illustrates them with many examples from recent research. In doing so, this volume offers a textbook on empirical political science research as well. It serves as a reference work for research on parliamentarianism and will be an indispensable resource for instructors, students and all those interested in parliamentary issues.

scholarly journals Confused About Theoretical Sampling? Engaging Theoretical Sampling in Diverse Grounded Theory Studies

2020 ◽  
Vol 30 (6) ◽  
pp. 947-959 ◽  
Author(s):  
Catherine Conlon ◽  
Virpi Timonen ◽  
Catherine Elliott-O’Dare ◽  
Sorcha O’Keeffe ◽  
Geraldine Foley
Keyword(s):  
Grounded Theory ◽  
Data Collection ◽  
Secondary Analysis ◽  
Theory Building ◽  
Theory Method ◽  
Data Generation ◽  
Grounded Theory Method ◽  
Theoretical Sampling ◽  
Key Questions

Theoretical sampling is a key procedure for theory building in the grounded theory method. Confusion about how to employ theoretical sampling in grounded theory can exist among researchers who use or who want to use the grounded theory method. We illustrate how we employed theoretical sampling in diverse grounded theory studies and answer key questions about theoretical sampling in grounded theory. We show how theoretical sampling functions in grounded theory and how it differs from sampling for data generation alone. We demonstrate how induction, retroduction, and abduction operate in grounded theory and how memoing drives theoretical sampling in the pursuit of theory. We explicate how theoretical sampling can contextualize data to build concepts and theory. Finally, we show how theoretical sampling in grounded theory operates in secondary analysis to derive theory that goes beyond the original purpose of data collection.

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