Political Analysis

202620252024202320222021

2026

20 papers

• The power of prognosis: Improving covariate balance tests with outcome information
  Bicalho et al. · 2026
  data · secondary survey analysis method · regression method · machine learning method · simulation causal inference balance tests
• Monotone ecological inference
  Elzayn et al. · 2026
  method · formal modeling causal inference partial identification
• On the foundations of the design-based approach
  Aronow et al. · 2026
  method · formal modeling causal inference design based inference
• Post-treatment problems: What can we say about the effect of a treatment among sub-groups who (would) respond in some way?
  Hazlett et al. · 2026
  method · causal inference causal inference partial identification
• Estimating treatment effects on proportions with synthetic controls
  Bogatyrev & Stoetzer · 2026
  data · archival records method · panel data analysis method · causal inference method · simulation causal inference panel data
• Improving small-area estimates of public opinion by calibrating to known population quantities
  Marble & Clinton · 2026
  data · secondary survey analysis method · multilevel modeling method · regression public opinion calibration
• Text as behavior
  Wasow · 2026
• Democracy manifest or democracy latent? A unified framework for identifying regime types and transitions
  ORSUN & Bas · 2026
  data · secondary survey analysis method · machine learning method · simulation measurement civil war
• Using multilingual language technology to classify open-ended survey responses: Conceptions of democracy in a cross-cultural survey setting
  Dahlberg et al. · 2026
  data · survey method · machine learning method · nlp multilingual nlp cross cultural survey
• Adaptive randomization in conjoint survey experiments
  Gosciak et al. · 2026
  data · experiment method · causal inference method · simulation causal inference survey methodology
• From faces to politics: Vision-language models (sometimes) link visual demographic characteristics to ideological labels
  Jeon et al. · 2026
  data · experiment method · descriptive statistics method · machine learning race stereotypes
• Correcting nonignorable nonresponse bias in turnout estimation using callback data
  Li et al. · 2026
  data · secondary survey analysis method · causal inference method · simulation survey methodology voter turnout
• Inference at the data’s edge: Gaussian processes for estimation and inference in the face of extrapolation uncertainty
  Cho et al. · 2026
  method · causal inference method · machine learning causal inference extrapolation uncertainty
• A multilevel model for coalition governments: Uncovering party-level dependencies within and between governments
  Rosche · 2026
  data · secondary survey analysis method · multilevel modeling method · simulation multilevel modeling political parties
• A dynamic discrete choice approach to attitude stability and constraint
  Nepaul & Stern · 2026
  data · secondary survey analysis method · panel data analysis method · formal modeling political attitudes attitude stability
• Accounting for protest voting in the U.S. congress
  Fowler & Lewis · 2026
  data · archival records method · formal modeling method · factor analysis roll call voting legislative ideology
• Refining gamson: The isometric log-ratio transformation and portfolio proportionality in multiparty governments
  Martin & Vanberg · 2026
  data · archival records method · multilevel modeling method · regression method · simulation compositional data coalition governments
• Modeling hierarchical spatial interdependence for limited dependent variables
  Kagalwala & Yang · 2026
  method · multilevel modeling method · spatial analysis method · simulation diffusion hierarchical modeling
• Potential and pitfalls of audio as data for political research: Alignment, features, and classification models
  Mestre & Ryan · 2026
  data · content analysis method · machine learning method · embedding political communication multimodal analysis
• Survey quality and acquiescence bias: A cautionary tale
  Cruz et al. · 2026
  data · survey method · regression method · descriptive statistics replication online panels

2025

49 papers

• Extractive versus generative language models for political conflict text classification
  Brandt et al. · 2025
• Bayesian sensitivity analysis for unmeasured confounding in causal panel data models
  Lz & Yamamoto · 2025
  method · panel data analysis method · causal inference method · simulation causal inference panel data
• Stay tuned: Improving sentiment analysis and stance detection using large language models
  Griswold et al. · 2025
• Political DEBATE: Efficient zero-shot and few-shot classifiers for political text
  Burnham et al. · 2025
• Analyzing political text at scale with online tensor LDA
  Kangaslahti et al. · 2025
  data · digital trace data method · machine learning method · nlp social movements topic modeling
• Measuring politicians’ public personality traits using computational text analysis: A multimethod feasibility study for agency and communion
  Birkenmaier & Lechner · 2025
• Nationally representative, locally misaligned: The biases of generative artificial intelligence in neighborhood perception
  Bollen et al. · 2025
  data · digital trace data data · survey method · descriptive statistics method · machine learning generative ai algorithmic bias
• Survey professionalism: New evidence from web browsing data
  Hohenberg et al. · 2025
  data · digital trace data method · regression method · descriptive statistics data quality online panels
• Meaning beyond numbers: Introducing the plot staircase to measure graphical preferences
  Andrews et al. · 2025
  data · experiment data · survey method · descriptive statistics survey methodology data visualization
• Codebook LLMs: Evaluating LLMs as measurement tools for political science concepts
  Halterman & Keith · 2025
  data · content analysis method · machine learning method · nlp text classification large language models
• A statistical model of bipartite networks: Application to cosponsorship in the united states senate
  Lo et al. · 2025
  data · archival records method · network analysis method · formal modeling partisanship legislative politics
• Generative AI and topological data analysis of longitudinal panel data
  Arfi · 2025
  data · secondary survey analysis method · machine learning method · simulation method · embedding generative ai international conflict
• Probabilistic record linkage using pretrained text embeddings
  Ornstein · 2025
  data · archival records method · regression method · machine learning method · embedding large language models active learning
• Decomposing network influence: Social influence regression
  Minhas & Hoff · 2025
  data · digital trace data method · regression method · network analysis international conflict network influence
• Explaining differences in voting patterns across voting domains using hierarchical bayesian models
  Lipman et al. · 2025
  data · archival records method · formal modeling method · machine learning bayesian modeling ideal point estimation
• Measuring media criticism with ALC word embeddings
  Barrie et al. · 2025
  data · digital trace data method · time series analysis method · causal inference method · embedding political communication authoritarianism
• An expert-sourced measure of judicial ideology
  Cope · 2025
  data · content analysis method · machine learning method · nlp measurement computational text analysis
• Moral foundation measurements fail to converge on multilingual party manifestos
  Stecker & Hopp · 2025
  data · content analysis method · embedding method · nlp multiverse analysis moral foundations
• Detecting formatted text: Data collection using computer vision
  Colner · 2025
  data · archival records method · machine learning computer vision local government
• Bin-conditional conformal prediction of fatalities from armed conflict
  Randahl et al. · 2025
  data · secondary survey analysis method · machine learning method · simulation conflict forecasting conformal prediction
• Balancing precision and retention in experimental design
  Diaz & Rossiter · 2025
  data · experiment method · simulation experimental design statistical power
• Estimating the local average treatment effect without the exclusion restriction
  Markovich · 2025
  data · experiment method · formal modeling method · causal inference causal inference instrumental variables
• Measuring the quality of answers in political Q&as with large language models
  Alvarez & Morrier · 2025
  data · content analysis method · machine learning method · embedding semantic similarity answer quality
• What to observe when assuming selection on observables
  Quinn et al. · 2025
  method · causal inference causal inference diagnostics
• Accessibility and equity in the research process: Gender bias in elite interview recruitment
  Kenney & Salchak · 2025
  data · experiment method · causal inference gender bias research ethics
• Generalizing trimming bounds for endogenously missing outcome data using random forests
  Samii et al. · 2025
  data · experiment method · causal inference method · machine learning causal inference missing data
• Fixed effects, lagged dependent variables, and bracketing: Cautionary remarks
  Demetrescu et al. · 2025
  method · formal modeling method · simulation causal inference panel data
• Attention and political choice: A foundation for eye tracking in political science
  Jenke & Sullivan · 2025
  method · descriptive statistics attention research methods
• Mapping (a)ideology: A taxonomy of european parties using generative LLMs as zero-shot learners
  Leo et al. · 2025
  data · content analysis method · machine learning method · embedding measurement large language models
• Constructing vec-tionaries to extract message features from texts: A case study of moral content
  Duan et al. · 2025
  data · digital trace data method · machine learning method · embedding measurement word embeddings
• Seeing Like a District: Understanding What Close-Election Designs for Leader Characteristics Can and Cannot Tell Us
  Bertoli & Hazlett · 2025
  method · formal modeling causal identification close elections
• Priming bias versus post-treatment bias in experimental designs
  Blackwell et al. · 2025
  method · formal modeling method · causal inference causal inference experimental design
• Addressing measurement errors in ranking questions for the social sciences
  Atsusaka & Kim · 2025
  data · survey method · descriptive statistics method · simulation survey methodology measurement error
• The modifiable areal unit problem in political science
  Lee et al. · 2025
  data · archival records method · regression method · spatial analysis method · simulation spatial analysis modifiable areal unit problem
• Odd profiles in conjoint experimental designs: Effects on survey-taking attention and behavior
  Bansak & Jenke · 2025
  data · experiment method · descriptive statistics survey methodology eye tracking
• Crowdsourced adaptive surveys
  Velez · 2025
  data · survey method · machine learning method · simulation method · embedding large language models survey methodology
• Positioning political texts with large language models by asking and averaging
  Mens & Gallego · 2025
  data · digital trace data data · content analysis method · machine learning method · embedding measurement large language models
• The probability of casting a pivotal vote in an instant runoff voting election
  Baltz · 2025
  method · formal modeling method · simulation electoral systems instant runoff voting
• Categorizing topics versus inferring attitudes: A theory and method for analyzing open-ended survey responses
  Hobbs & Green · 2025
  data · secondary survey analysis method · embedding method · factor analysis attitude measurement text analysis
• Synthetically generated text for supervised text analysis
  Halterman · 2025
  data · content analysis method · machine learning method · nlp text classification large language models
• The limits (and strengths) of single-topic experiments
  Clifford & Rainey · 2025
  method · formal modeling method · simulation experimental design external validity
• Measuring distances in high dimensional spaces
  Green et al. · 2025
  data · digital trace data method · formal modeling method · simulation word embeddings measurement error
• When can we trust regression discontinuity design estimates from close elections? Evidence from experimental benchmarks
  Magalhaes et al. · 2025
  data · archival records method · regression method · causal inference elections incumbency advantage
• Adding regularized horseshoes to the dynamics of latent variable models
  Binding & Koc · 2025
  data · secondary survey analysis method · simulation method · factor analysis bayesian prior democracy measurement
• Decoupling visualization and testing when presenting confidence intervals
  Armstrong & Poirier · 2025
  method · descriptive statistics confidence intervals hypothesis testing
• Exponential random graph models for dynamic signed networks: An application to international relations
  Fritz et al. · 2025
  data · archival records method · network analysis method · simulation signed networks statistical modeling
• MODGIRT: Multidimensional dynamic scaling of aggregate survey data
  Berwick & Caughey · 2025
  data · secondary survey analysis method · formal modeling method · simulation public opinion ideal point estimation
• Sign-Congruence, External Validity, and Replication
  Slough & Tyson · 2025
  method · formal modeling replication research design
• Countering non-ignorable nonresponse in survey models with randomized response instruments and doubly robust estimation
  Bailey · 2025
  data · survey method · regression method · simulation survey methodology doubly robust estimation

2024

22 papers

• Multilanguage word embeddings for social scientists: Estimation, inference, and validation resources for 157 languages
  Wirsching et al. · 2024
  data · content analysis method · machine learning method · embedding word embeddings statistical inference
• What would you say? Estimating causal effects of social context on political expression
  SCHULZ · 2024
  data · survey method · causal inference method · factor analysis survey methodology political expression
• Improving computer vision interpretability: Transparent two-level classification for complex scenes
  Scholz et al. · 2024
  data · digital trace data method · machine learning protest computer vision
• News sharing on social media: Mapping the ideology of news media, politicians, and the mass public
  Eady et al. · 2024
  data · digital trace data method · formal modeling method · machine learning social media political polarization
• Dynamic synthetic controls: Accounting for varying speeds in comparative case studies
  Cao & Chadefaux · 2024
  data · secondary survey analysis method · causal inference method · simulation causal inference comparative case studies
• Parameterizing spatial weight matrices in spatial econometric models
  Tan et al. · 2024
  data · secondary survey analysis method · spatial analysis method · simulation model specification distance decay
• PopBERT. Detecting populism and its host ideologies in the german bundestag
  Erhard et al. · 2024
  data · content analysis method · machine learning method · nlp populism text classification
• A novel class of unfolding models for binary preference data
  Lei & Rodríguez · 2024
  data · archival records method · formal modeling method · simulation ideal point estimation legislative behavior
• Analyzing ballot order effects when voters rank candidates
  Atsusaka · 2024
  data · secondary survey analysis data · experiment method · descriptive statistics method · causal inference voter behavior ranked choice voting
• Generalizing toward nonrespondents: Effect estimates in survey experiments are broadly similar for eager and reluctant participants
  Moniz et al. · 2024
  data · experiment method · regression method · machine learning survey experiments treatment effect heterogeneity
• [[_papers/Küpfer (2024) - Nonrandom tweet mortality and data access restrictions Comp|Nonrandom tweet mortality and data access restrictions: Compromising the replication of sensitive twitter studies]]
  Küpfer · 2024
• [[_papers/Bisbee (2024) - Synthetic replacements for human survey data The perils of|Synthetic replacements for human survey data? The perils of large language models]]
  Bisbee et al. · 2024
• Estimators for topic-sampling designs
  Clifford & Rainey · 2024
  data · secondary survey analysis method · multilevel modeling method · formal modeling experimental design treatment effects
• Flexible estimation of policy preferences for witnesses in committee hearings
  Esterling & Park · 2024
  data · archival records method · multilevel modeling method · formal modeling measurement policy preferences
• Audit experiments of racial discrimination and the importance of symmetry in exposure to cues
  Leavitt & Rivera-Burgos · 2024
  method · formal modeling method · causal inference causal inference experimental design
• Votes can be confidently bought in some ranked ballot elections, and what to do about it
  Williams et al. · 2024
  data · archival records method · descriptive statistics method · formal modeling ballot secrecy election security
• How much should we trust instrumental variable estimates in political science? Practical advice based on 67 replicated studies
  Lal et al. · 2024
  data · secondary survey analysis method · descriptive statistics method · causal inference replication research transparency
• Estimating the ideology of political YouTube videos
  Lai et al. · 2024
  data · digital trace data method · machine learning method · embedding method · nlp echo chambers political ideology
• Normal mode copulas for nonmonotonic dependence
  Fukumoto · 2024
  data · archival records method · formal modeling statistical modeling copula
• Making a difference: The consequences of electoral experiments
  Slough · 2024
  method · formal modeling experimental design research ethics
• Using machine learning to test causal hypotheses in conjoint analysis
  Ham et al. · 2024
  data · experiment method · causal inference method · machine learning causal inference machine learning
• Vote choices and valence: Intercepts and alternate specifications
  Mauerer & Tutz · 2024
  method · formal modeling party competition spatial voting

2023

37 papers

• A partisan solution to partisan gerrymandering: The define–combine procedure
  Palmer et al. · 2023
  method · simulation partisan bias institutional design
• Inference in linear dyadic data models with network spillovers
  Canen & Sugiura · 2023
  method · formal modeling method · simulation statistical inference dyadic data
• On finetuning large language models
  Wang · 2023
  data · content analysis method · machine learning method · nlp text classification large language models
• Explaining recruitment to extremism: A bayesian hierarchical case–control approach
  Cerina et al. · 2023
  data · secondary survey analysis data · archival records method · multilevel modeling method · spatial analysis relative deprivation bayesian methods
• Implementation matters: Evaluating the proportional hazard test’s performance
  Metzger · 2023
  method · descriptive statistics method · simulation monte carlo simulation proportional hazards assumption
• Face detection, tracking, and classification from large-scale news archives for analysis of key political figures
  Girbau et al. · 2023
  data · digital trace data method · machine learning news media computer vision
• A framework for the unsupervised and semi-supervised analysis of visual frames
  Torres · 2023
  data · content analysis method · machine learning method · nlp political communication topic modeling
• Dyadic clustering in international relations
  Carlson et al. · 2023
  data · secondary survey analysis method · regression method · descriptive statistics replication international relations
• Hypothesis tests under separation
  Rainey · 2023
  method · formal modeling method · simulation hypothesis testing separation
• Generalized kernel regularized least squares
  Chang & Goplerud · 2023
  data · secondary survey analysis method · multilevel modeling method · machine learning machine learning statistical modeling
• Trading liberties: Estimating COVID-19 policy preferences from conjoint data
  Hartmann et al. · 2023
  data · experiment method · formal modeling method · causal inference civil liberties policy preferences
• The effect of fox news on health behavior during COVID-19
  Ash et al. · 2023
  data · digital trace data data · survey method · regression method · causal inference misinformation covid 19
• Measuring closeness in proportional representation systems
  Luechinger et al. · 2023
  data · archival records method · formal modeling electoral systems regression discontinuity
• Less annotating, more classifying: Addressing the data scarcity issue of supervised machine learning with deep transfer learning and BERT-NLI
  Laurer et al. · 2023
  data · content analysis method · machine learning method · nlp text classification computational methods
• Hierarchical bayesian aldrich–McKelvey scaling
  Bølstad · 2023
  data · secondary survey analysis method · formal modeling method · simulation survey methodology political psychology
• Selecting more informative training sets with fewer observations
  Kaufman · 2023
  data · content analysis method · machine learning method · embedding text as data active learning
• : Text semantics capture political and economic narratives
  Ash et al. · 2023
  data · content analysis method · network analysis method · nlp political discourse text analysis
• Sensitivity analysis for survey weights
  Hartman & Huang · 2023
  data · secondary survey analysis method · descriptive statistics method · formal modeling sensitivity analysis election polling
• The role of majority status in close election studies
  Alpino & Crispino · 2023
  data · archival records method · regression method · causal inference method · simulation legislative politics close elections
• Simulating party shares
  Cohen & Hanretty · 2023
  method · formal modeling method · simulation electoral outcomes party systems
• Multilevel calibration weighting for survey data
  Ben‐Michael et al. · 2023
  data · secondary survey analysis method · regression method · simulation calibration election polling
• Integrating data across misaligned spatial units
  Zhukov et al. · 2023
  data · archival records method · spatial analysis method · simulation measurement error change of support
• It’s all in the name: A character-based approach to infer religion
  Chaturvedi & Chaturvedi · 2023
  data · secondary survey analysis data · archival records method · machine learning method · embedding machine learning name analysis
• Introducing an interpretable deep learning approach to domain-specific dictionary creation: A use case for conflict prediction
  Häffner et al. · 2023
  data · content analysis method · machine learning method · nlp text analysis conflict prediction
• Mapping literature with networks: An application to redistricting
  Lo et al. · 2023
  data · content analysis method · network analysis network analysis redistricting
• Topic classification for political texts with pretrained language models
  Wang · 2023
  data · content analysis method · machine learning method · nlp political text transfer learning
• A nonparametric bayesian model for detecting differential item functioning: An application to political representation in the US
  Shiraito et al. · 2023
  data · secondary survey analysis method · machine learning method · factor analysis political representation item response theory
• Out of one, many: Using language models to simulate human samples
  Argyle et al. · 2023
• Detecting and correcting for separation in strategic choice models
  Crisman‐Cox et al. · 2023
  method · regression method · simulation discrete choice estimation
• The ideologies of organized interests and amicus curiae briefs: Large-scale, social network imputation of ideal points
  Abi-Hassan et al. · 2023
  data · archival records method · network analysis method · embedding ideology measurement
• Cross-lingual classification of political texts using multilingual sentence embeddings
  Licht · 2023
  data · content analysis method · machine learning method · embedding text classification political text
• Multiple hypothesis testing in conjoint analysis
  Liu & Shiraito · 2023
  data · experiment method · machine learning method · simulation experimental methods conjoint analysis
• Acquiescence bias inflates estimates of conspiratorial beliefs and political misperceptions
  Hill & Roberts · 2023
  data · survey method · regression method · descriptive statistics survey methodology conspiracy beliefs
• Contagion, confounding, and causality: Confronting the three C’s of observational political networks research
  Uppala & Desmarais · 2023
  data · archival records method · time series analysis method · simulation causal inference contagion
• Ends against the middle: Measuring latent traits when opposites respond the same way for antithetical reasons
  Duck-Mayr & Montgomery · 2023
  data · secondary survey analysis data · archival records method · simulation method · factor analysis ideology item response theory
• Recalibration of predicted probabilities using the “logit shift”: Why does it work, and when can it be expected to work well?
  Rosenman et al. · 2023
  method · formal modeling method · simulation prediction election forecasting
• When correlation is not enough: Validating populism scores from supervised machine-learning models
  Jankowski & Huber · 2023
  data · content analysis method · machine learning method · simulation text as data validity

2022

23 papers

• Bridging the grade gap: Reducing assessment bias in a multi-grader class
  Kates et al. · 2022
  data · archival records method · formal modeling method · simulation bayesian scaling assessment bias
• Automated coding of political campaign advertisement videos: An empirical validation study
  Tarr et al. · 2022
  data · digital trace data method · machine learning method · nlp machine learning political communication
• Measuring swing voters with a supervised machine learning ensemble
  Hare & Kutsuris · 2022
  data · secondary survey analysis method · machine learning voting behavior machine learning
• The consequences of model misspecification for the estimation of nonlinear interaction effects
  Beiser‐McGrath & Beiser‐McGrath · 2022
  method · regression method · simulation interaction effects robustness
• Change-point detection and regularization in time series cross-sectional data analysis
  Park & Yamauchi · 2022
  method · time series analysis method · machine learning change point detection political methodology
• Blocks as geographic discontinuities: The effect of polling-place assignment on voting
  Tomkins et al. · 2022
  data · archival records method · causal inference method · fixed effects modeling voting behavior voter turnout
• Ordered beta regression: A parsimonious, well-fitting model for continuous data with lower and upper bounds
  Kubinec · 2022
  method · regression method · simulation statistical modeling survey measurement
• Using conjoint experiments to analyze election outcomes: The essential role of the average marginal component effect
  Bansak et al. · 2022
  method · formal modeling election outcomes average marginal component effect
• Creating and comparing dictionary, word embedding, and transformer-based models to measure discrete emotions in german political text
  Widmann & Wich · 2022
  data · content analysis method · machine learning method · embedding method · nlp transformer models political text
• Hierarchically regularized entropy balancing
  Xu & Yang · 2022
  method · causal inference method · simulation causal inference covariate balance
• Proportionally less difficult?: Reevaluating keele’s “proportionally difficult”
  Metzger · 2022
  method · time series analysis method · simulation cox model model misspecification
• Non-separable preferences in the statistical analysis of roll call votes
  Binding & Stoetzer · 2022
  data · archival records method · simulation method · factor analysis roll call voting ideal point estimation
• Validating the applicability of bayesian inference with surname and geocoding to congressional redistricting
  DeLuca & Curiel · 2022
  data · archival records method · descriptive statistics method · machine learning voter files bayesian inference
• Sentiment is not stance: Target-aware opinion classification for political text analysis
  Bestvater & Monroe · 2022
  data · digital trace data data · content analysis method · machine learning method · embedding method · nlp stance detection measurement validity
• Balance as a pre-estimation test for time series analysis
  Pickup & Kellstedt · 2022
  method · formal modeling model specification cointegration
• Statistically valid inferences from differentially private data releases, with application to the facebook URLs dataset
  Evans & King · 2022
  data · digital trace data method · regression method · simulation measurement error big data
• Using multiple pretreatment periods to improve difference-in-differences and staggered adoption designs
  Egami & Yamauchi · 2022
  method · panel data analysis method · causal inference causal inference panel data
• Taking distributions seriously: On the interpretation of the estimates of interactive nonlinear models
  Zhirnov et al. · 2022
  method · regression interaction effects marginal effects
• Listwise deletion in high dimensions
  Wang & Aronow · 2022
  data · secondary survey analysis method · simulation missing data statistical methodology
• Geographic boundaries and local economic conditions matter for views of the economy
  Bisbee & Zilinsky · 2022
  data · secondary survey analysis data · archival records method · regression method · machine learning political attitudes local economy
• Quantifying bias from measurable and unmeasurable confounders across three domains of individual determinants of political preferences
  Ahlskog & Oskarsson · 2022
  data · secondary survey analysis method · regression method · meta analysis causal inference political preferences
• Polls, context, and time: A dynamic hierarchical bayesian forecasting model for US senate elections
  Chen et al. · 2022
  data · secondary survey analysis method · time series analysis method · formal modeling bayesian modeling election forecasting
• An improved method of automated nonparametric content analysis for social science
  Jerzak et al. · 2022
  data · content analysis method · causal inference method · machine learning content analysis semantic shift

2021

17 papers

• A bias-corrected estimator for the crosswise model with inattentive respondents
  Atsusaka & Stevenson · 2021
  method · descriptive statistics method · simulation survey methodology inattentive respondents
• Identification of preferences in forced-choice conjoint experiments: Reassessing the quantity of interest
  Ganter · 2021
  method · formal modeling causal inference survey methodology
• Human rights violations in space: Assessing the external validity of machine-geocoded versus human-geocoded data
  Stundal et al. · 2021
  data · archival records method · descriptive statistics method · spatial analysis external validity political violence
• Choosing imputation models
  Marbach · 2021
  data · secondary survey analysis method · descriptive statistics method · simulation statistical methods missing data
• Implementing partisan symmetry: A response to a response
  DeFord et al. · 2021
  method · formal modeling measurement partisan symmetry
• Implementing partisan symmetry: Problems and paradoxes
  DeFord et al. · 2021
  data · archival records method · formal modeling method · simulation measurement partisan symmetry
• The essential role of statistical inference in evaluating electoral systems: A response to DeFord et al.
  Katz et al. · 2021
  method · formal modeling fairness statistical inference
• Minmaxing of bayesian improved surname geocoding and geography level ups in predicting race
  Clark et al. · 2021
  data · archival records method · descriptive statistics method · simulation bayesian methods geographic scale
• Cross-domain topic classification for political texts
  Osnabrügge et al. · 2021
  data · content analysis method · regression method · machine learning text classification topic modeling
• How populist are parties? Measuring degrees of populism in party manifestos using supervised machine learning
  Cocco & Monechi · 2021
  data · content analysis method · machine learning method · nlp populism comparative politics
• Adaptive fuzzy string matching: How to merge datasets with only one (messy) identifying field
  Kaufman & Klevs · 2021
  method · machine learning human in the loop record linkage
• Topics, concepts, and measurement: A crowdsourced procedure for validating topics as measures
  Ying et al. · 2021
  data · content analysis data · experiment method · descriptive statistics method · nlp research methods text analysis
• Assessing data quality: An approach and an application
  McMann et al. · 2021
  data · secondary survey analysis method · descriptive statistics method · factor analysis measurement validity data quality
• Does conjoint analysis mitigate social desirability bias?
  Horiuchi et al. · 2021
  data · experiment method · regression method · causal inference experimental design survey methodology
• Racing the clock: Using response time as a proxy for attentiveness on self-administered surveys
  Read et al. · 2021
  data · survey method · machine learning method · factor analysis survey methodology measurement error
• What makes party systems different? A principal component analysis of 17 advanced democracies 1970–2013
  Magyar · 2021
  data · archival records method · factor analysis comparative politics dimensionality reduction
• Party positions from wikipedia classifications of party ideology
  Herrmann & Döring · 2021
  data · content analysis method · machine learning method · embedding wikipedia ideology measurement