81 to 90 of 586 Results
Dec 27, 2022
Shiraito, Yuki; Lo, James; Olivella, Santiago, 2022, "Replication Data for: A Non-parametric Bayesian Model for Detecting Differential Item Functioning: An Application to Political Representation in the US", https://doi.org/10.7910/DVN/BCDALU, Harvard Dataverse, V1
A common approach when studying the quality of representation involves comparing the latent preferences of voters and legislators, commonly obtained by fitting an item-response theory (IRT) model to a common set of stimuli. Despite being exposed to the same stimuli, voters and legislators may not share a common understanding of how these stimuli ma... |
Argyle, Lisa P.; Busby, Ethan C.; Fulda, Nancy; Gubler, Joshua R.; Rytting, Christopher; Wingate, David, 2022, "Replication Data for: "Out of One, Many: Using Language Models to Simulate Human Samples"", https://doi.org/10.7910/DVN/JPV20K, Harvard Dataverse, V1, UNF:6:5YVxZsZp0NgktmhZ6b/z9w== [fileUNF]
We propose and explore the possibility that language models can be studied as effective proxies for specific human sub-populations in social science research. Practical and research applications of artificial intelligence tools have sometimes been limited by problematic biases (such as racism or sexism), which are often treated as uniform propertie... |
Ash, Elliott; Gauthier, Germain; Widmer, Philine, 2022, "Replication Data for: "RELATIO: Text Semantics Capture Political and Economic Narratives"", https://doi.org/10.7910/DVN/3BRWKK, Harvard Dataverse, V1, UNF:6:2D/XdroF6u0gtAbr9NV8KA== [fileUNF]
Social scientists have become increasingly interested in how narratives -- the stories in fiction, politics, and life -- shape beliefs, behavior, and government policies. This paper provides an unsupervised method to quantify latent narrative structures in text documents. Our new software package RELATIO identifies coherent entity groups and maps e... |
Crisman-Cox, Casey; Gasparyan, Olga; Signorino, Curtis, 2022, "Replication Data for: Detecting and Correcting for Separation in Strategic Choice Models", https://doi.org/10.7910/DVN/BYO6KX, Harvard Dataverse, V1, UNF:6:0Ml8ProA2fVoCbu7ykC2iw== [fileUNF]
Separation or “perfect prediction” is a common problem in discrete choice models that, in practice, leads to inflated point estimates and standard errors. Standard statistical packages do not provide clear advice on how to correct these problems. Furthermore, separation can go completely undiagnosed in fitting advanced models that optimize a user-s... |
Uppala, Medha; Desmarais, Bruce A, 2022, "Replication Data for: Contagion, Confounding, and Causality: Confronting the Three C's of Observational Political Networks Research", https://doi.org/10.7910/DVN/TFQPCM, Harvard Dataverse, V1, UNF:6:GSbqdecFzmvHu2XTjouDHg== [fileUNF]
Contagion across various types of connections is a central process in the study of many political phenomena (e.g., democratization, civil conflict, voter turnout). Over the last decade the methodological literature addressing the challenges in causally identifying contagion in networks has exploded. In one of the foundational works in this literatu... |
Abi-Hasan, Sahar; Box-Steffensmeier, Janet; Christenson, Dino; Kaufman, Aaron; Libgober, Brian, 2022, "Replication Data for: The Ideologies of Organized Interests & Amicus Curiae Briefs: Large-Scale, Social Network Imputation of Ideal Points", https://doi.org/10.7910/DVN/TOYNMH, Harvard Dataverse, V1, UNF:6:8gQF4ZF1azpxRrTyZ0eQdA== [fileUNF]
Interest group ideology is theoretically and empirically critical in the study of American politics, yet our measurement of this key concept is lacking both in scope and time. By leveraging network science and ideal point estimation we provide a novel measure of ideology for amicus curiae briefs and organized interests with accompanying uncertainty... |
Duck-Mayr, JBrandon; Montgomery, Jacob, 2022, "Replication Data for: Ends Against the Middle: Measuring Latent Traits When Opposites Respond the Same Way for Antithetical Reasons", https://doi.org/10.7910/DVN/HXORK9, Harvard Dataverse, V1, UNF:6:bjgIiYBzvJL6bv3mxEaMgQ== [fileUNF]
Standard methods for measuring latent traits from categorical data assume that response functions are monotonic. This assumption is violated when individuals from both extremes respond identically but for conflicting reasons. Two survey respondents may “disagree” with a statement for opposing motivations, liberal and conservative justices may disse... |
Oct 26, 2022
Shiraito, Yuki; Liu, Guoer, 2022, "Replication Data for: Multiple Hypothesis Testing in Conjoint Analysis", https://doi.org/10.7910/DVN/HIPDOP, Harvard Dataverse, V1
Conjoint analysis is widely used for estimating the effects of a large number of treatments on multidimensional decision making. However, it is this substantive advantage that leads to a statistically undesirable property, multiple hypothesis testing. Existing applications of conjoint analysis except for a few do not correct for the number of hypot... |
Oct 21, 2022
Jankowski, Michael; Huber, Robert A., 2022, "Replication Data for: When Correlation Is Not Enough: Validating Populism Scores from Supervised Machine-Learning Models", https://doi.org/10.7910/DVN/DDXRXI, Harvard Dataverse, V1
Despite the ongoing success of populist parties in many parts of the world, we lack comprehensive information about parties' level of populism over time. A recent contribution to Political Analysis by Di Cocco and Monechi (DCM) suggests that this research gap can be closed by predicting parties' populism scores from their election manifestos using... |
Licht, Hauke, 2022, "Replication Data for: Cross-lingual classification of political texts using multilingual sentence embeddings", https://doi.org/10.7910/DVN/OLRTXA, Harvard Dataverse, V1, UNF:6:rG8yuayRT3euKCJ2meYa8A== [fileUNF]
Established approaches to analyze multilingual text corpora require either a duplication of analysts' efforts or high-quality machine translation (MT). In this paper, I argue that multilingual sentence embedding (MSE) is an attractive alternative approach to language-independent text representation. To support this argument, I evaluate MSE for cros... |
