Sociological Methodology最新文献_第3页

Evaluating Substitution as a Strategy for Handling U.S. Postal Service Drop Points in Self-Administered Address-Based Sampling Frame Surveys 在基于自我管理地址的抽样框架调查中，评估替代作为处理美国邮政服务投递点的策略

IF 3 2区社会学

Sociological Methodology Pub Date : 2023-01-13 DOI: 10.1177/00811750221147525

Taylor Lewis, Joseph McMichael, Charlotte Looby

引用次数: 0

Sparse Data Reconstruction, Missing Value and Multiple Imputation through Matrix Factorization 稀疏数据重构、缺失值与矩阵分解多重插值

IF 3 2区社会学

Sociological Methodology Pub Date : 2022-10-22 DOI: 10.1177/00811750221125799

Nandana Sengupta, Madeleine Udell, N. Srebro, James Evans

{"title":"Sparse Data Reconstruction, Missing Value and Multiple Imputation through Matrix Factorization","authors":"Nandana Sengupta, Madeleine Udell, N. Srebro, James Evans","doi":"10.1177/00811750221125799","DOIUrl":"https://doi.org/10.1177/00811750221125799","url":null,"abstract":"Social science approaches to missing values predict avoided, unrequested, or lost information from dense data sets, typically surveys. The authors propose a matrix factorization approach to missing data imputation that (1) identifies underlying factors to model similarities across respondents and responses and (2) regularizes across factors to reduce their overinfluence for optimal data reconstruction. This approach may enable social scientists to draw new conclusions from sparse data sets with a large number of features, for example, historical or archival sources, online surveys with high attrition rates, or data sets created from Web scraping, which confound traditional imputation techniques. The authors introduce matrix factorization techniques and detail their probabilistic interpretation, and they demonstrate these techniques’ consistency with Rubin’s multiple imputation framework. The authors show via simulations using artificial data and data from real-world subsets of the General Social Survey and National Longitudinal Study of Youth cases for which matrix factorization techniques may be preferred. These findings recommend the use of matrix factorization for data reconstruction in several settings, particularly when data are Boolean and categorical and when large proportions of the data are missing.","PeriodicalId":48140,"journal":{"name":"Sociological Methodology","volume":"53 1","pages":"72 - 114"},"PeriodicalIF":3.0,"publicationDate":"2022-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48838062","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: 3

Hyperscanning and the Future of Neurosociology 超扫描与神经社会学的未来

IF 3 2区社会学

Sociological Methodology Pub Date : 2022-10-15 DOI: 10.1177/00811750221128790

W. TenHouten, L. Schussel, Maria Gritsch, C. D. Kaplan

{"title":"Hyperscanning and the Future of Neurosociology","authors":"W. TenHouten, L. Schussel, Maria Gritsch, C. D. Kaplan","doi":"10.1177/00811750221128790","DOIUrl":"https://doi.org/10.1177/00811750221128790","url":null,"abstract":"Because all aspects of social life have a mental component, sociology’s focus is not society alone but mind and society. Insofar as mind is an emergent level of brainwork, the description and measurement of mindwork amidst social interaction can be accomplished by neurometric measurement methodology. The authors’ topic, hyperscanning, involves the simultaneous recording of either hemodynamic or neuroelectric measurement of brain activity in two (or more) interacting individuals. The authors consider two hyperscanning methods, functional magnetic resonance imaging and electroencephalography (EEG). Although functional magnetic resonance imaging provides excellent spatial resolution of brain-region activation, the temporal resolution of EEG is unmatched. EEG’s low spatial resolution has been overcome by low-resolution electromagnetic tomography. Hyperscanning studies show that interpersonal coordination of action includes mutual entrainment or synchronization of neural dynamics, flow of information between brains, and causal effects of one brain upon another with respect to social-signaling processes involving fairness, reciprocity, trust, competition, cooperation, and leadership.","PeriodicalId":48140,"journal":{"name":"Sociological Methodology","volume":"53 1","pages":"139 - 157"},"PeriodicalIF":3.0,"publicationDate":"2022-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44291541","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: 2

Data Quality and Recall Bias in Time-Diary Research: The Effects of Prolonged Recall Periods in Self-Administered Online Time-Use Surveys 时间日记研究中的数据质量和回忆偏差：自我管理的在线时间使用调查中长回忆期的影响

IF 3 2区社会学

Sociological Methodology Pub Date : 2022-10-05 DOI: 10.1177/00811750221126499

Petrus te Braak, T. P. van Tienoven, Joeri Minnen, I. Glorieux

{"title":"Data Quality and Recall Bias in Time-Diary Research: The Effects of Prolonged Recall Periods in Self-Administered Online Time-Use Surveys","authors":"Petrus te Braak, T. P. van Tienoven, Joeri Minnen, I. Glorieux","doi":"10.1177/00811750221126499","DOIUrl":"https://doi.org/10.1177/00811750221126499","url":null,"abstract":"Previous research has shown that a prolonged recall period is associated with lower data quality in time-diary research. In these studies, the recall period is roughly estimated on the basis of the period between the assigned diary day and the agreed collection day. Because this is so rudimentary, little is known about the duration of the mean recall period and its consequences for data quality. Recent advances in online methodology now allow a better investigation of the recall period using time stamps. Using a refined indicator, the authors examine the duration of the recall period, to what extent this duration is related to socioeconomic characteristics, and how a prolonged recall period affects data quality. The authors demonstrate that using online time-diary data collected from 8,535 teachers in Belgium, the mean recall period is less than 24 hr for most respondents, although respondents with many time constraints have extended recall periods. Additionally, a prolonged recall period indeed has negative consequences for data quality. Quality deterioration already arises several hours after an activity has been completed, much sooner than previous research has indicated.","PeriodicalId":48140,"journal":{"name":"Sociological Methodology","volume":"53 1","pages":"115 - 138"},"PeriodicalIF":3.0,"publicationDate":"2022-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45524136","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: 3

Bayesian Multistate Life Table Methods for Large and Complex State Spaces: Development and Illustration of a New Method. 大型复杂状态空间的贝叶斯多状态生命表方法:一种新方法的发展与说明。

IF 3 2区社会学

Sociological Methodology Pub Date : 2022-08-01 DOI: 10.1177/00811750221112398

Scott M Lynch, Emma Zang

{"title":"Bayesian Multistate Life Table Methods for Large and Complex State Spaces: Development and Illustration of a New Method.","authors":"Scott M Lynch, Emma Zang","doi":"10.1177/00811750221112398","DOIUrl":"https://doi.org/10.1177/00811750221112398","url":null,"abstract":"<p><p>Multistate life table methods are an important tool for producing easily understood measures of population health. Most contemporary uses of these methods involve sample data, thus requiring techniques for capturing uncertainty in estimates. In recent decades, several methods have been developed to do so. Among these methods, the Bayesian approach proposed by Lynch and Brown has several unique advantages. However, the approach is limited to estimating years to be spent in only two living states, such as \"healthy\" and \"unhealthy.\" In this article, the authors extend this method to allow for large state spaces with \"quasi-absorbing\" states. The authors illustrate the new method and show its advantages using data from the Health and Retirement Study to investigate U.S. regional differences in years of remaining life to be spent with diabetes, chronic conditions, and disabilities. The method works well and yields rich output for reporting and subsequent analyses. The expanded method also should facilitate the use of multi-state life tables to address a wider array of social science research questions.</p>","PeriodicalId":48140,"journal":{"name":"Sociological Methodology","volume":"52 2","pages":"254-286"},"PeriodicalIF":3.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10241463/pdf/nihms-1852062.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10293115","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

A New RCM Approach to Survival Analysis: The Conditional-Incidence-Rate Model 生存分析的RCM新方法:条件发病率模型

IF 3 2区社会学

Sociological Methodology Pub Date : 2022-07-29 DOI: 10.1177/00811750221114857

K. Yamaguchi

{"title":"A New RCM Approach to Survival Analysis: The Conditional-Incidence-Rate Model","authors":"K. Yamaguchi","doi":"10.1177/00811750221114857","DOIUrl":"https://doi.org/10.1177/00811750221114857","url":null,"abstract":"This article introduces a new causal analytic method for survival analysis that retains the framework of Rubin’s causal model as an alternative to the marginal structural model (MSM). The major limitation of the MSM is a systematic bias in the effects of past treatments when the method is applied to the hazard rate analysis of nonrepeatable events in the presence of unobserved heterogeneity. This systematic bias is demonstrated in the article. The method introduced here assumes a semiparametric conditional-incidence-rate model and provides consistent estimates of the effects of present and past treatments on the conditional cumulative-incidence rate in the analysis of nonrepeatable events in the presence of unobserved heterogeneity. Unlike the MSM, which requires a sequential and cumulative use of the inverse-probability-of-treatment weighting many times for data with many time points, the new method uses the inverse-probability-of-treatment weighing only twice sequentially for estimation of the present and past treatment effects at each time of entry into treatment, and not cumulatively across different treatment entry times. Analysis of the conditional-incidence rate can also provide a more efficient parameter estimate for the treatment effect than the hazard rate model in cases where a majority of sample persons experience the event and thereby cease to be members of the risk set of the hazard rate during the period of observation. An application to an analysis of sexual initiation demonstrates that leaving home promotes sexual initiation, especially premarital sexual initiation, because it greatly increases the rate of premarital sexual initiation during the year after leaving home.","PeriodicalId":48140,"journal":{"name":"Sociological Methodology","volume":"53 1","pages":"42 - 71"},"PeriodicalIF":3.0,"publicationDate":"2022-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41740093","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

Survey Methods for Estimating the Size of Weak-Tie Personal Networks 估计弱连接个人网络规模的调查方法

IF 3 2区社会学

Sociological Methodology Pub Date : 2022-07-05 DOI: 10.1177/00811750221109568

D. Feehan, Vo Hai Son, A. Abdul-Quader

{"title":"Survey Methods for Estimating the Size of Weak-Tie Personal Networks","authors":"D. Feehan, Vo Hai Son, A. Abdul-Quader","doi":"10.1177/00811750221109568","DOIUrl":"https://doi.org/10.1177/00811750221109568","url":null,"abstract":"Researchers increasingly use aggregate relational data to learn about the size and distribution of survey respondents’ weak-tie personal networks. Aggregate relational data are collected by asking questions about respondents’ connectedness to many different groups (e.g., “How many teachers do you know?”). This approach can be powerful, but to use aggregate relational data, researchers must locate external information about the size of each group from a census or administrative records (e.g., the number of teachers in the population). This need for external information makes aggregate relational data difficult or impossible to collect in many settings. Here, the authors show that relatively simple modifications can overcome this need for external data, significantly increasing the flexibility of the method and weakening key assumptions required by the associated estimators. The key idea is to estimate the size of these groups from the sample of survey respondents, rather than relying on external sources of information. These methods are appropriate for using a sample survey to study the size and distribution of weak-tie network connections. They can also be used as part of the network scale-up method to estimate the size of hidden populations. The authors illustrate this approach with two empirical studies: a large simulation study and original household survey data collected in Hanoi, Vietnam.","PeriodicalId":48140,"journal":{"name":"Sociological Methodology","volume":"52 1","pages":"193 - 219"},"PeriodicalIF":3.0,"publicationDate":"2022-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45024226","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: 5

An Implausible Virtual Interview: Conversations with a Professional Research Subject 一个不真实的虚拟访谈：与一个专业研究对象的对话

IF 3 2区社会学

Sociological Methodology Pub Date : 2022-06-22 DOI: 10.1177/00811750221106777

L. Owens

引用次数: 3

Decomposing Ethnic Achievement Gaps across Multiple Levels of Analysis and for Multiple Ethnic Groups 跨多个层次分析和多民族的民族成就差距分解

IF 3 2区社会学

Sociological Methodology Pub Date : 2022-06-08 DOI: 10.1177/00811750221099503

Beatriz Gallo Cordoba, G. Leckie, W. Browne

引用次数: 0

Lorenz Interpolation: A Method for Estimating Income Inequality from Grouped Income Data 洛伦兹插值：一种从分组收入数据中估计收入不平等的方法

IF 3 2区社会学

Sociological Methodology Pub Date : 2022-04-07 DOI: 10.1177/00811750221085586

Andrew Carr

{"title":"Lorenz Interpolation: A Method for Estimating Income Inequality from Grouped Income Data","authors":"Andrew Carr","doi":"10.1177/00811750221085586","DOIUrl":"https://doi.org/10.1177/00811750221085586","url":null,"abstract":"To understand how income inequality affects individuals and communities, researchers must have accurate measures of income inequality at lower geographic levels, such as counties, school districts, and census tracts. Studies of income inequality, however, are constrained by the tabular format in which censuses publish income data. In this article, the author proposes a new method, Lorenz interpolation, for estimating income inequality from binned income data. Using public microsample data from the American Community Survey (ACS), the author shows that Lorenz interpolation produces more accurate and reliable income inequality estimates than do alternative estimation methods. Then, using restricted ACS income data obtained through a Federal Statistical Research Data Center, the author evaluates the accuracy of Lorenz interpolation at the census tract and school district levels. Lorenz interpolation produces reliable school district–level estimates, but the method produces less reliable estimates for some income inequality measures at the tract level. These findings indicate that researchers should refrain from estimating tract-level income inequality measures from tabular data. They also show that aggregating tract income distributions to higher geographic levels can produce valid estimates of income inequality.","PeriodicalId":48140,"journal":{"name":"Sociological Methodology","volume":"52 1","pages":"141 - 161"},"PeriodicalIF":3.0,"publicationDate":"2022-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41707373","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