Political Analysis

Papers
(The TQCC of Political Analysis is 7. 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 2020-07-01 to 2024-07-01.)
ArticleCitations
On the Use of Two-Way Fixed Effects Regression Models for Causal Inference with Panel Data233
Does Conjoint Analysis Mitigate Social Desirability Bias?73
Out of One, Many: Using Language Models to Simulate Human Samples71
Achieving Statistical Significance with Control Variables and Without Transparency68
Improving the External Validity of Conjoint Analysis: The Essential Role of Profile Distribution51
Measuring the Rural Continuum in Political Science35
Learning to See: Convolutional Neural Networks for the Analysis of Social Science Data28
The MIDAS Touch: Accurate and Scalable Missing-Data Imputation with Deep Learning27
A Bayesian Alternative to Synthetic Control for Comparative Case Studies23
Reducing Model Misspecification and Bias in the Estimation of Interactions23
Do Name-Based Treatments Violate Information Equivalence? Evidence from a Correspondence Audit Experiment23
Accounting for Skewed or One-Sided Measurement Error in the Dependent Variable23
Ordered Beta Regression: A Parsimonious, Well-Fitting Model for Continuous Data with Lower and Upper Bounds21
The Multiclass Classification of Newspaper Articles with Machine Learning: The Hybrid Binary Snowball Approach20
Topics, Concepts, and Measurement: A Crowdsourced Procedure for Validating Topics as Measures20
Using Conjoint Experiments to Analyze Election Outcomes: The Essential Role of the Average Marginal Component Effect18
Assessing Data Quality: An Approach and An Application18
How Populist are Parties? Measuring Degrees of Populism in Party Manifestos Using Supervised Machine Learning17
Gerrymandering and Compactness: Implementation Flexibility and Abuse16
Cross-Domain Topic Classification for Political Texts16
Understanding, Choosing, and Unifying Multilevel and Fixed Effect Approaches15
Sentiment is Not Stance: Target-Aware Opinion Classification for Political Text Analysis14
Identification of Preferences in Forced-Choice Conjoint Experiments: Reassessing the Quantity of Interest13
Machine Learning Predictions as Regression Covariates13
Less Annotating, More Classifying: Addressing the Data Scarcity Issue of Supervised Machine Learning with Deep Transfer Learning and BERT-NLI13
Generalized Full Matching12
Optimizing the Measurement of Sexism in Political Surveys12
Racing the Clock: Using Response Time as a Proxy for Attentiveness on Self-Administered Surveys12
How Much Does the Cardinal Treatment of Ordinal Variables Matter? An Empirical Investigation12
Using Motion Detection to Measure Social Polarization in the U.S. House of Representatives12
Estimating and Using Individual Marginal Component Effects from Conjoint Experiments11
Implementing Partisan Symmetry: Problems and Paradoxes11
An Improved Method of Automated Nonparametric Content Analysis for Social Science10
Equivalence Testing for Regression Discontinuity Designs10
Spikes and Variance: Using Google Trends to Detect and Forecast Protests10
Shadowing as a Tool for Studying Political Elites10
Placebo Selection in Survey Experiments: An Agnostic Approach9
Party Positions from Wikipedia Classifications of Party Ideology9
Creating and Comparing Dictionary, Word Embedding, and Transformer-Based Models to Measure Discrete Emotions in German Political Text9
A General Approach to Measuring Electoral Competitiveness for Parties and Governments9
Generative Dynamics of Supreme Court Citations: Analysis with a New Statistical Network Model9
Mapping Political Communities: A Statistical Analysis of Lobbying Networks in Legislative Politics8
Eliciting Beliefs as Distributions in Online Surveys8
A Bias-Corrected Estimator for the Crosswise Model with Inattentive Respondents8
Combining Outcome-Based and Preference-Based Matching: A Constrained Priority Mechanism7
The Misreporting Trade-Off Between List Experiments and Direct Questions in Practice: Partition Validation Evidence from Two Countries7
Statistically Valid Inferences from Differentially Private Data Releases, with Application to the Facebook URLs Dataset7
How to Get Better Survey Data More Efficiently7
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