Political Analysis

Papers
(The TQCC of Political Analysis is 8. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)
ArticleCitations
On the Use of Two-Way Fixed Effects Regression Models for Causal Inference with Panel Data268
Out of One, Many: Using Language Models to Simulate Human Samples98
Does Conjoint Analysis Mitigate Social Desirability Bias?95
Achieving Statistical Significance with Control Variables and Without Transparency73
Improving the External Validity of Conjoint Analysis: The Essential Role of Profile Distribution57
Measuring the Rural Continuum in Political Science40
Learning to See: Convolutional Neural Networks for the Analysis of Social Science Data31
The MIDAS Touch: Accurate and Scalable Missing-Data Imputation with Deep Learning29
Reducing Model Misspecification and Bias in the Estimation of Interactions26
Less Annotating, More Classifying: Addressing the Data Scarcity Issue of Supervised Machine Learning with Deep Transfer Learning and BERT-NLI26
Accounting for Skewed or One-Sided Measurement Error in the Dependent Variable25
Using Conjoint Experiments to Analyze Election Outcomes: The Essential Role of the Average Marginal Component Effect25
Ordered Beta Regression: A Parsimonious, Well-Fitting Model for Continuous Data with Lower and Upper Bounds24
Topics, Concepts, and Measurement: A Crowdsourced Procedure for Validating Topics as Measures24
Do Name-Based Treatments Violate Information Equivalence? Evidence from a Correspondence Audit Experiment23
A Bayesian Alternative to Synthetic Control for Comparative Case Studies23
Assessing Data Quality: An Approach and An Application22
How Populist are Parties? Measuring Degrees of Populism in Party Manifestos Using Supervised Machine Learning22
The Multiclass Classification of Newspaper Articles with Machine Learning: The Hybrid Binary Snowball Approach21
Cross-Domain Topic Classification for Political Texts19
Understanding, Choosing, and Unifying Multilevel and Fixed Effect Approaches18
Identification of Preferences in Forced-Choice Conjoint Experiments: Reassessing the Quantity of Interest18
Gerrymandering and Compactness: Implementation Flexibility and Abuse17
Sentiment is Not Stance: Target-Aware Opinion Classification for Political Text Analysis16
Racing the Clock: Using Response Time as a Proxy for Attentiveness on Self-Administered Surveys15
Creating and Comparing Dictionary, Word Embedding, and Transformer-Based Models to Measure Discrete Emotions in German Political Text15
Optimizing the Measurement of Sexism in Political Surveys14
Generalized Full Matching14
Machine Learning Predictions as Regression Covariates14
Estimating and Using Individual Marginal Component Effects from Conjoint Experiments13
Using Motion Detection to Measure Social Polarization in the U.S. House of Representatives13
How Much Does the Cardinal Treatment of Ordinal Variables Matter? An Empirical Investigation12
Placebo Selection in Survey Experiments: An Agnostic Approach11
An Improved Method of Automated Nonparametric Content Analysis for Social Science11
Implementing Partisan Symmetry: Problems and Paradoxes11
Spikes and Variance: Using Google Trends to Detect and Forecast Protests11
Generative Dynamics of Supreme Court Citations: Analysis with a New Statistical Network Model10
Party Positions from Wikipedia Classifications of Party Ideology10
Equivalence Testing for Regression Discontinuity Designs10
Learning from Null Effects: A Bottom-Up Approach9
Eliciting Beliefs as Distributions in Online Surveys9
A General Approach to Measuring Electoral Competitiveness for Parties and Governments9
Mapping Political Communities: A Statistical Analysis of Lobbying Networks in Legislative Politics8
Combining Outcome-Based and Preference-Based Matching: A Constrained Priority Mechanism8
A Bias-Corrected Estimator for the Crosswise Model with Inattentive Respondents8
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