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Sociological Methodology最新文献

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Corrigendum
IF 3 2区 社会学
Sociological Methodology Pub Date : 2019-08-01 DOI: 10.1177/0081175019874760
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引用次数: 0
To Measure Meaning in Big Data, Don’t Give Me a Map, Give Me Transparency and Reproducibility 要衡量大数据的意义，不要给我一张地图，给我透明度和可再现性
IF 3 2区 社会学
Sociological Methodology Pub Date : 2019-08-01 DOI: 10.1177/0081175019863783
Laura K. Nelson
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引用次数: 11
Corrigendum
IF 3 2区 社会学
Sociological Methodology Pub Date : 2019-08-01 DOI: 10.1177/0081175019834599
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引用次数: 0
The Future of Event Data Is Images 事件数据的未来是图像
IF 3 2区 社会学
Sociological Methodology Pub Date : 2019-08-01 DOI: 10.1177/0081175019860238
Zachary C. Steinert-Threlkeld
{"title":"The Future of Event Data Is Images","authors":"Zachary C. Steinert-Threlkeld","doi":"10.1177/0081175019860238","DOIUrl":"https://doi.org/10.1177/0081175019860238","url":null,"abstract":"A Look at How the New York Times, the Wall Street Journal, the Washington Post, and BuzzFeed Compare.” The Atlantic. Retrieved June 17, 2019. https:// www.theatlantic.com/technology/archive/2016/05/how-many-stories-do-newspaperspublish-per-day/483845/. Soule, Sarah, and Jennifer Earl. 2005. “A Movement Society Evaluated: Collective Protest in the United States, 1960–1986.” Mobilization: An International Quarterly 10(3):345–64.","PeriodicalId":48140,"journal":{"name":"Sociological Methodology","volume":"49 1","pages":"68 - 75"},"PeriodicalIF":3.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/0081175019860238","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44521644","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: 8
Assessing Differences between Nested and Cross-Classified Hierarchical Models 评估嵌套和交叉分类层次模型之间的差异
IF 3 2区 社会学
Sociological Methodology Pub Date : 2019-07-23 DOI: 10.1177/0081175019862839
David Melamed, Michael Vuolo
{"title":"Assessing Differences between Nested and Cross-Classified Hierarchical Models","authors":"David Melamed, Michael Vuolo","doi":"10.1177/0081175019862839","DOIUrl":"https://doi.org/10.1177/0081175019862839","url":null,"abstract":"In multilevel data, cross-classified data structures are common. For example, this occurs when individuals move to different regions in longitudinal data or students go to different secondary schools than their primary school peers. In both cases, the data structure is no longer fully nested. Estimating cross-classified multilevel models is computationally intensive, so researchers have used several shortcuts to decrease run time. We consider how these shortcuts affect parameter estimates. In particular, we compare parameter estimates from fully nested and cross-classified models using a series of Monte Carlo simulations. When the outcome is continuous, we identify systematic differences in estimated standard errors and some differences in the estimated variance components. When the outcome is binary, we also find differences in the estimated coefficients. Accordingly, we caution researchers to avoid fully nested model specifications when cross-classification exists but suggest some limited conditions under which parameter estimates are unlikely to be different.","PeriodicalId":48140,"journal":{"name":"Sociological Methodology","volume":"49 1","pages":"220 - 257"},"PeriodicalIF":3.0,"publicationDate":"2019-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/0081175019862839","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45444964","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
A General and Robust Estimation Method for the Case-Time-Control Design 情形时间控制设计的一种通用的鲁棒估计方法
IF 3 2区 社会学
Sociological Methodology Pub Date : 2019-07-22 DOI: 10.1177/0081175019862259
A. Sjölander, Y. Ning
{"title":"A General and Robust Estimation Method for the Case-Time-Control Design","authors":"A. Sjölander, Y. Ning","doi":"10.1177/0081175019862259","DOIUrl":"https://doi.org/10.1177/0081175019862259","url":null,"abstract":"The case-time-control design is a tool to control for measured, time-varying covariates that increase montonically in time within each subject while also controlling for all unmeasured covariates that are constant within each subject across time. Until recently, the design was restricted to data with only two timepoints and a single binary covariate, or data with a binary exposure. Sjölander (2017) made an important extension that allows for an arbitrary number of timepoints and covariates and a nonbinary exposure. However, his estimation method requires fairly strong model assumptions, and it may create bias if these assumptions are violated. We propose a novel estimation method for the case-time-control design, which to a large extent relaxes the model assumptions in Sjölander. We show in simulations that this estimation method performs well under a range of scenarios and gives consistent estimates when Sjölander’s estimation does not.","PeriodicalId":48140,"journal":{"name":"Sociological Methodology","volume":"49 1","pages":"349 - 365"},"PeriodicalIF":3.0,"publicationDate":"2019-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/0081175019862259","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48555335","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
CASM: A Deep-Learning Approach for Identifying Collective Action Events with Text and Image Data from Social Media CASM:一种基于社交媒体文本和图像数据识别集体行动事件的深度学习方法
IF 3 2区 社会学
Sociological Methodology Pub Date : 2019-07-19 DOI: 10.1177/0081175019860244
Han Zhang, Jennifer Pan
{"title":"CASM: A Deep-Learning Approach for Identifying Collective Action Events with Text and Image Data from Social Media","authors":"Han Zhang, Jennifer Pan","doi":"10.1177/0081175019860244","DOIUrl":"https://doi.org/10.1177/0081175019860244","url":null,"abstract":"Protest event analysis is an important method for the study of collective action and social movements and typically draws on traditional media reports as the data source. We introduce collective action from social media (CASM)—a system that uses convolutional neural networks on image data and recurrent neural networks with long short-term memory on text data in a two-stage classifier to identify social media posts about offline collective action. We implement CASM on Chinese social media data and identify more than 100,000 collective action events from 2010 to 2017 (CASM-China). We evaluate the performance of CASM through cross-validation, out-of-sample validation, and comparisons with other protest data sets. We assess the effect of online censorship and find it does not substantially limit our identification of events. Compared to other protest data sets, CASM-China identifies relatively more rural, land-related protests and relatively few collective action events related to ethnic and religious conflict.","PeriodicalId":48140,"journal":{"name":"Sociological Methodology","volume":"49 1","pages":"1 - 57"},"PeriodicalIF":3.0,"publicationDate":"2019-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/0081175019860244","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46607543","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: 105
A General Framework for Comparing Predictions and Marginal Effects across Models 跨模型比较预测和边际效应的一般框架
IF 3 2区 社会学
Sociological Methodology Pub Date : 2019-06-20 DOI: 10.1177/0081175019852763
Trenton D. Mize, Long Doan, J. S. Long
{"title":"A General Framework for Comparing Predictions and Marginal Effects across Models","authors":"Trenton D. Mize, Long Doan, J. S. Long","doi":"10.1177/0081175019852763","DOIUrl":"https://doi.org/10.1177/0081175019852763","url":null,"abstract":"Many research questions involve comparing predictions or effects across multiple models. For example, it may be of interest whether an independent variable’s effect changes after adding variables to a model. Or, it could be important to compare a variable’s effect on different outcomes or across different types of models. When doing this, marginal effects are a useful method for quantifying effects because they are in the natural metric of the dependent variable and they avoid identification problems when comparing regression coefficients across logit and probit models. Despite advances that make it possible to compute marginal effects for almost any model, there is no general method for comparing these effects across models. In this article, the authors provide a general framework for comparing predictions and marginal effects across models using seemingly unrelated estimation to combine estimates from multiple models, which allows tests of the equality of predictions and effects across models. The authors illustrate their method to compare nested models, to compare effects on different dependent or independent variables, to compare results from different samples or groups within one sample, and to assess results from different types of models.","PeriodicalId":48140,"journal":{"name":"Sociological Methodology","volume":"49 1","pages":"152 - 189"},"PeriodicalIF":3.0,"publicationDate":"2019-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/0081175019852763","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43162214","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: 148
Analyzing Meaning in Big Data: Performing a Map Analysis Using Grammatical Parsing and Topic Modeling 分析大数据中的意义:使用语法解析和主题建模进行地图分析
IF 3 2区 社会学
Sociological Methodology Pub Date : 2019-06-18 DOI: 10.1177/0081175019852762
Jan Goldenstein, Philipp Poschmann
{"title":"Analyzing Meaning in Big Data: Performing a Map Analysis Using Grammatical Parsing and Topic Modeling","authors":"Jan Goldenstein, Philipp Poschmann","doi":"10.1177/0081175019852762","DOIUrl":"https://doi.org/10.1177/0081175019852762","url":null,"abstract":"Social scientists have recently started discussing the utilization of text-mining tools as being fruitful for scaling inductively grounded close reading. We aim to progress in this direction and provide a contemporary contribution to the literature. By focusing on map analysis, we demonstrate the potential of text-mining tools for text analysis that approaches inductive but still formal in-depth analysis. We propose that a combination of text-mining tools addressing different layers of meaning facilitates a closer analysis of the dynamics of manifest and latent meanings than is currently acknowledged. To illustrate our approach, we combine grammatical parsing and topic modeling to operationalize communication structures within sentences and the semantic surroundings of these communication structures. We use a reliable and downloadable software application to analyze the dynamic interlacement of two layers of meaning over time. We do so by analyzing 15,371 newspaper articles on corporate responsibility published in the United States from 1950 to 2013.","PeriodicalId":48140,"journal":{"name":"Sociological Methodology","volume":"23 1","pages":"131 - 83"},"PeriodicalIF":3.0,"publicationDate":"2019-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/0081175019852762","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"64851195","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: 16
No Longer Discrete: Modeling the Dynamics of Social Networks and Continuous Behavior 不再离散：社交网络和连续行为的动力学建模
IF 3 2区 社会学
Sociological Methodology Pub Date : 2019-05-09 DOI: 10.1177/0081175019842263
Nynke M. D. Niezink, T. Snijders, M. V. van Duijn
{"title":"No Longer Discrete: Modeling the Dynamics of Social Networks and Continuous Behavior","authors":"Nynke M. D. Niezink, T. Snijders, M. V. van Duijn","doi":"10.1177/0081175019842263","DOIUrl":"https://doi.org/10.1177/0081175019842263","url":null,"abstract":"The dynamics of individual behavior are related to the dynamics of the social structures in which individuals are embedded. This implies that in order to study social mechanisms such as social selection or peer influence, we need to model the evolution of social networks and the attributes of network actors as interdependent processes. The stochastic actor-oriented model is a statistical approach to study network-attribute coevolution based on longitudinal data. In its standard specification, the coevolving actor attributes are assumed to be measured on an ordinal categorical scale. Continuous variables first need to be discretized to fit into such a modeling framework. This article presents an extension of the stochastic actor-oriented model that does away with this restriction by using a stochastic differential equation to model the evolution of a continuous attribute. We propose a measure for explained variance and give an interpretation of parameter sizes. The proposed method is illustrated by a study of the relationship between friendship, alcohol consumption, and self-esteem among adolescents.","PeriodicalId":48140,"journal":{"name":"Sociological Methodology","volume":"49 1","pages":"295 - 340"},"PeriodicalIF":3.0,"publicationDate":"2019-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/0081175019842263","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49387493","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: 22
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