Sociological Methods & Research最新文献_第2页

Bayesian Indirect Estimation of Historical Fertility in Europe and US Using Online Genealogical Data 使用在线家谱数据对欧洲和美国历史生育率的贝叶斯间接估计

IF 6.3 2区社会学

Sociological Methods & Research Pub Date : 2026-06-30 DOI: 10.1177/00491241261463559

Riccardo Omenti, Monica Alexander, Nicola Barban

引用次数: 0

SOCbot: Using Large Language Models to Dynamically Measure and Classify Occupations in Surveys SOCbot：使用大型语言模型在调查中动态测量和分类职业

IF 6.3 2区社会学

Sociological Methods & Research Pub Date : 2026-06-29 DOI: 10.1177/00491241261461516

Patrick Sturgis, Thomas S. Robinson, Laura Fung, Caroline Roberts

{"title":"SOCbot: Using Large Language Models to Dynamically Measure and Classify Occupations in Surveys","authors":"Patrick Sturgis, Thomas S. Robinson, Laura Fung, Caroline Roberts","doi":"10.1177/00491241261461516","DOIUrl":"https://doi.org/10.1177/00491241261461516","url":null,"abstract":"We present the results of a new approach to measuring the occupations of respondents in surveys using Large Language Models (LLMs). In our new approach, which we call SOCbot, an LLM integrated in the questionnaire scripting software is used to code the job title to the occupational classification in real-time during the interview. Where the job title does not contain sufficient information to be coded with confidence, the LLM probes for further relevant details on job tasks, industry, qualifications, and so on. SOCbot can also be used offline on already collected response data. Our results demonstrate that the approach attains rates of coder reliability comparable to trained human coders, with consistent performance across four major commercial and open-weight model families. SOCbot can also be deployed using publicly available open-weight models with only a small but measurable accuracy penalty, allowing even users with stringent data-protection constraints to use it. We also demonstrate that the approach is feasible in large-scale survey operations and has significant potential to reduce respondent burden, lower costs, and yield more timely and accurate data.","PeriodicalId":21849,"journal":{"name":"Sociological Methods & Research","volume":"129 1","pages":""},"PeriodicalIF":6.3,"publicationDate":"2026-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148342037","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Discovering Preference Structure Using Randomized Paired Comparisons in Surveys: A Topic Modeling Approach 在调查中使用随机配对比较发现偏好结构：主题建模方法

IF 6.3 2区社会学

Sociological Methods & Research Pub Date : 2026-06-02 DOI: 10.1177/00491241261454236

Jeong-han Kang, Eunrang Kwon, Junmo Song

引用次数: 0

Identification and Sensitivity Analysis for Teacher Bias Designs Based on Administrative Data 基于行政数据的教师偏见设计识别与敏感性分析

IF 6.3 2区社会学

Sociological Methods & Research Pub Date : 2026-06-01 DOI: 10.1177/00491241261454305

Julian Schuessler

引用次数: 0

Rationale and Methodologies for Surveying Vulnerable Neighborhoods: Lessons From Three Nordic Countries 调查弱势社区的基本原理和方法：来自三个北欧国家的经验教训

IF 6.3 2区社会学

Sociological Methods & Research Pub Date : 2026-05-16 DOI: 10.1177/00491241261450123

Peter Esaiasson, Kim Mannemar Sønderskov, Henning Finseraas, Niels Nyholt, Oskar Rönnberg, Jacob Sohlberg, Mari Vaattovaara

引用次数: 0

Eliciting Legal Status Through Social Media Surveys Among Immigrants—Evidence from a List Experiment, Direct Question and Stepwise Exclusion 通过社交媒体调查获取移民的法律地位——来自清单实验、直接提问和逐步排除的证据

IF 6.3 2区社会学

Sociological Methods & Research Pub Date : 2026-05-13 DOI: 10.1177/00491241261444957

Jasper Tjaden, Alejandra Rodríguez-Sánchez, Jennifer Van Hook, Hannah Persaud

{"title":"Eliciting Legal Status Through Social Media Surveys Among Immigrants—Evidence from a List Experiment, Direct Question and Stepwise Exclusion","authors":"Jasper Tjaden, Alejandra Rodríguez-Sánchez, Jennifer Van Hook, Hannah Persaud","doi":"10.1177/00491241261444957","DOIUrl":"https://doi.org/10.1177/00491241261444957","url":null,"abstract":"Estimating the size of the undocumented migrant population remains a critical challenge for researchers and policymakers. This study assesses the viability of using social media platforms, specifically Facebook and Instagram, to recruit a survey sample of migrants and elicit their status. The research focuses on Mexican and Venezuelan immigrants in Texas, Florida, Illinois, and California. Three methods for eliciting legal status are tested: direct questions, indirect sequential questions (stepwise exclusion), and a list experiment. The study ( N = 2,027) finds that while social media recruitment is cost-effective and rapid, it faces challenges such as selection bias, misclassification, and platform-imposed restrictions. The list experiment suggests the presence of response bias in traditional surveys to sensitive legal status questions. Estimates of the share of undocumented migrants deviate considerably from available reference estimates. We argue that social media surveys are best applied in preparation for traditional surveys rather than in their place.","PeriodicalId":21849,"journal":{"name":"Sociological Methods & Research","volume":"11 1","pages":""},"PeriodicalIF":6.3,"publicationDate":"2026-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148286134","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

What Works for Measuring Intimate Partner Violence: Evidence from a Series of List Experiments and Self-Administered Surveys 测量亲密伴侣暴力的方法：来自一系列列表实验和自我管理调查的证据

IF 6.3 2区社会学

Sociological Methods & Research Pub Date : 2026-03-31 DOI: 10.1177/00491241261436407

Emil Kamalov, Ivetta Sergeeva

{"title":"What Works for Measuring Intimate Partner Violence: Evidence from a Series of List Experiments and Self-Administered Surveys","authors":"Emil Kamalov, Ivetta Sergeeva","doi":"10.1177/00491241261436407","DOIUrl":"https://doi.org/10.1177/00491241261436407","url":null,"abstract":"This research evaluates methodologies to mitigate misreporting in intimate partner violence (IPV) data collection in a middle-income country. We conducted surveys in Russia involving three list experiments, a self-administered tablet questionnaire, a self-administered online survey, and conventional face-to-face interviews. Results show that list experiments yield lower disclosure rates for the complex IPV definitions suggested by the UN. The tablet-based self-administered questionnaire, conducted with an interviewer present, also did not increase IPV reporting. Conversely, the self-administered online survey increased lifetime IPV disclosures by 51% (physical) and 26% (psychological) compared to face-to-face interviews. Women showed greater sensitivity to the online survey mode. This increase is linked to the absence of interviewer bias, enhanced safety by minimizing potential perpetrators’ presence, and reduced cognitive burden. We argue that self-administered online surveys—using sampling bias mitigation—may thus be an optimal, low-cost method for surveying the general population in middle- and high-income countries.","PeriodicalId":21849,"journal":{"name":"Sociological Methods & Research","volume":"104 1","pages":""},"PeriodicalIF":6.3,"publicationDate":"2026-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147578403","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Treatment Effect on the Association Between Outcomes 治疗效果对预后的影响

IF 6.3 2区社会学

Sociological Methods & Research Pub Date : 2026-03-17 DOI: 10.1177/00491241261430340

Lai Wei

引用次数: 0

Measuring Social and Political Identities in Social Media Self-Descriptions 衡量社交媒体自我描述中的社会和政治身份

IF 6.3 2区社会学

Sociological Methods & Research Pub Date : 2026-03-11 DOI: 10.1177/00491241261427726

Clara Vandeweerdt, Gregory Eady, Frederik Hjorth, Peter Thisted Dinesen

{"title":"Measuring Social and Political Identities in Social Media Self-Descriptions","authors":"Clara Vandeweerdt, Gregory Eady, Frederik Hjorth, Peter Thisted Dinesen","doi":"10.1177/00491241261427726","DOIUrl":"https://doi.org/10.1177/00491241261427726","url":null,"abstract":"Identities are fundamental to our understanding of social and political behavior, but are challenging to measure and are rarely observed in real-world settings. We introduce a method for measuring the identity-relevant aspects of brief self-descriptions regularly used online (e.g., on social media). Our approach combines the benefits of word embeddings for finding related identity terms with the ability of clustering algorithms to aggregate terms into discrete categories. To illustrate our approach, we apply it to daily observations of bios from millions of US Twitter/X users. We present three applications of our approach with substantive findings. First, we track users’ social and political identities over time and find, among other things, that direct expressions of political affiliations are rare. Second, we map the identities that are most characteristic of each US state. Third, we show that users’ political identities are highly predictable based on non-political identity markers. With the growing availability of user self-descriptions on social media platforms and elsewhere, our approach enables researchers to map and analyze expressions of identity at scale.","PeriodicalId":21849,"journal":{"name":"Sociological Methods & Research","volume":"11 1","pages":""},"PeriodicalIF":6.3,"publicationDate":"2026-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147393358","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Machine Learning Approach to Preferential Attachment and Status Advantage in a Hip-Hop Collaboration Network Hip-Hop合作网络中优先依恋和地位优势的机器学习方法

IF 6.3 2区社会学

Sociological Methods & Research Pub Date : 2026-03-11 DOI: 10.1177/00491241261420812

Jaemin Lee, Yujie Li

引用次数: 0