Political Analysis

(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 2020-06-01 to 2024-06-01.)
On the Use of Two-Way Fixed Effects Regression Models for Causal Inference with Panel Data223
Does Conjoint Analysis Mitigate Social Desirability Bias?73
Achieving Statistical Significance with Control Variables and Without Transparency66
Automated Text Classification of News Articles: A Practical Guide64
Out of One, Many: Using Language Models to Simulate Human Samples63
Improving the External Validity of Conjoint Analysis: The Essential Role of Profile Distribution49
Measuring the Rural Continuum in Political Science33
Using Eye-Tracking to Understand Decision-Making in Conjoint Experiments30
Learning to See: Convolutional Neural Networks for the Analysis of Social Science Data26
The MIDAS Touch: Accurate and Scalable Missing-Data Imputation with Deep Learning25
Accounting for Skewed or One-Sided Measurement Error in the Dependent Variable23
Do Name-Based Treatments Violate Information Equivalence? Evidence from a Correspondence Audit Experiment23
A Bayesian Alternative to Synthetic Control for Comparative Case Studies21
Reducing Model Misspecification and Bias in the Estimation of Interactions20
Ordered Beta Regression: A Parsimonious, Well-Fitting Model for Continuous Data with Lower and Upper Bounds20
Topics, Concepts, and Measurement: A Crowdsourced Procedure for Validating Topics as Measures19
Using Conjoint Experiments to Analyze Election Outcomes: The Essential Role of the Average Marginal Component Effect18
The Multiclass Classification of Newspaper Articles with Machine Learning: The Hybrid Binary Snowball Approach18
How Populist are Parties? Measuring Degrees of Populism in Party Manifestos Using Supervised Machine Learning17
Cross-Domain Topic Classification for Political Texts16
Assessing Data Quality: An Approach and An Application16
Understanding, Choosing, and Unifying Multilevel and Fixed Effect Approaches16
Gerrymandering and Compactness: Implementation Flexibility and Abuse15
Sentiment is Not Stance: Target-Aware Opinion Classification for Political Text Analysis13
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-NLI12
Using Motion Detection to Measure Social Polarization in the U.S. House of Representatives12
Optimizing the Measurement of Sexism in Political Surveys12
Identification of Preferences in Forced-Choice Conjoint Experiments: Reassessing the Quantity of Interest11
Estimating and Using Individual Marginal Component Effects from Conjoint Experiments11
How Much Does the Cardinal Treatment of Ordinal Variables Matter? An Empirical Investigation11
Racing the Clock: Using Response Time as a Proxy for Attentiveness on Self-Administered Surveys11
Implementing Partisan Symmetry: Problems and Paradoxes11
Shadowing as a Tool for Studying Political Elites10
Equivalence Testing for Regression Discontinuity Designs10
Spikes and Variance: Using Google Trends to Detect and Forecast Protests10
An Improved Method of Automated Nonparametric Content Analysis for Social Science9
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
A Bias-Corrected Estimator for the Crosswise Model with Inattentive Respondents8
Eliciting Beliefs as Distributions in Online Surveys8
Generative Dynamics of Supreme Court Citations: Analysis with a New Statistical Network Model8
Generalized Full Matching8
Mapping Political Communities: A Statistical Analysis of Lobbying Networks in Legislative Politics8