What Goes Up Might Not Come Down: Modeling Directional Asymmetry with Large- N , Large- T Data.
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- Sociological Methodology, 2022, v. 52, n. 1, p. 1, doi. 10.1177/00811750211046307
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- Publication type:
- Article
Works matching IS 00811750 AND DT 2022 AND VI 52 AND IP 1
Results: 5
1
2
Surveying Spontaneous Mass Protests: Mixed-mode Sampling and Field Methods.
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- Sociological Methodology, 2022, v. 52, n. 1, p. 75, doi. 10.1177/00811750211071130
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- Publication type:
- Article
3
Asking about the Worst First: An Examination of Contextual Effects in Factorial Vignettes.
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- Sociological Methodology, 2022, v. 52, n. 1, p. 103, doi. 10.1177/00811750211071129
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- Publication type:
- Article
4
Small-Area Analyses Using Public American Community Survey Data: A Tree-Based Spatial Microsimulation Technique.
- Published in:
- Sociological Methodology, 2022, v. 52, n. 1, p. 53, doi. 10.1177/00811750211057572
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- Publication type:
- Article
5
Language Models in Sociological Research: An Application to Classifying Large Administrative Data and Measuring Religiosity.
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- Sociological Methodology, 2022, v. 52, n. 1, p. 30, doi. 10.1177/00811750211053370
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- Publication type:
- Article