Sociological Methods & Research最新文献

筛选
英文 中文
Are National Family Surveys Biased toward the Happy Family? A Multiactor Analysis of Selective Survey Nonresponse 全国家庭调查是否偏向幸福家庭?选择性调查无应答的多因素分析
IF 6.3 2区 社会学
Sociological Methods & Research Pub Date : 2021-07-02 DOI: 10.1177/0049124120986208
M. Kalmijn
{"title":"Are National Family Surveys Biased toward the Happy Family? A Multiactor Analysis of Selective Survey Nonresponse","authors":"M. Kalmijn","doi":"10.1177/0049124120986208","DOIUrl":"https://doi.org/10.1177/0049124120986208","url":null,"abstract":"Virtually, all large-scale family surveys in the United States and Europe have yielded a positive view of family ties in contemporary societies. The present study examines whether surveys like these are affected by selective nonresponse. Are people with negative family ties less likely to participate in surveys, and if so, to what extent does this yield a biased descriptive view of family solidarity? Using a novel multiactor design with matched register data, we examine the determinants of nonresponse of the parents of adult children aged 25–45 in the Netherlands. Our analysis reveals significant effects of the strength of parent–child ties on parental nonresponse, especially for fathers. Moreover, we find negative effects of divorce on father’s participation and this effect is stronger when family ties are weak. While these findings support the hypothesis of selective nonresponse, the magnitude of the effects is small and descriptive findings on family ties change only modestly when correcting for selective nonresponse.","PeriodicalId":21849,"journal":{"name":"Sociological Methods & Research","volume":"52 1","pages":"561 - 586"},"PeriodicalIF":6.3,"publicationDate":"2021-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/0049124120986208","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44992601","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: 6
Evidence of Validity Does not Rule out Systematic Bias: A Commentary on Nomological Noise and Cross-Cultural Invariance 有效性证据不排除系统偏差:法噪声与跨文化不变性述评
IF 6.3 2区 社会学
Sociological Methods & Research Pub Date : 2021-06-16 DOI: 10.1177/00491241221091756
R. Fischer, J. Karl, Johnny Fontaine, Y. Poortinga
{"title":"Evidence of Validity Does not Rule out Systematic Bias: A Commentary on Nomological Noise and Cross-Cultural Invariance","authors":"R. Fischer, J. Karl, Johnny Fontaine, Y. Poortinga","doi":"10.1177/00491241221091756","DOIUrl":"https://doi.org/10.1177/00491241221091756","url":null,"abstract":"We comment on the argument by Welzel, Brunkert, Kruse and Inglehart (2021) that theoretically expected associations in nomological networks should take priority over invariance tests in cross-national research. We agree that narrow application of individual tools, such as multi-group confirmatory factor analysis with data that violates the assumptions of these techniques, can be misleading. However, findings that fit expectations of nomological networks may not be free of bias. We present supporting evidence of systematic bias affecting nomological network relationships from a) previous research on intelligence and response styles, b) two simulation studies, and c) data on the choice index from the World Value Survey (WVS). Our main point is that nomological network analysis by itself is insufficient to rule out systematic bias in data. We point out how a thoughtful exploration of sources of biases in cross-national data can contribute to stronger theory development.","PeriodicalId":21849,"journal":{"name":"Sociological Methods & Research","volume":"52 1","pages":"1420 - 1437"},"PeriodicalIF":6.3,"publicationDate":"2021-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42078224","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
Fear Not Scarcity but Inequality, Not Poverty but Instability 不要害怕匮乏,要害怕不平等;不要害怕贫穷,要害怕不稳定
IF 6.3 2区 社会学
Sociological Methods & Research Pub Date : 2021-06-15 DOI: 10.1177/00491241211024295
Weihua An
{"title":"Fear Not Scarcity but Inequality, Not Poverty but Instability","authors":"Weihua An","doi":"10.1177/00491241211024295","DOIUrl":"https://doi.org/10.1177/00491241211024295","url":null,"abstract":"This special issue, “New Quantitative Approaches to Studying Social Inequality”, aims to present some of the latest methodological innovations that arise from new analytical methods, innovative study designs, and novel and large-scale data that are particularly useful for studying social inequality. The articles included in the special issue not only showcase methodological innovations but also share the common theme that social inequalities are often interconnected across domains of life, time, space, or different policies.","PeriodicalId":21849,"journal":{"name":"Sociological Methods & Research","volume":"50 1","pages":"939 - 943"},"PeriodicalIF":6.3,"publicationDate":"2021-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/00491241211024295","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42687337","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
Optimizing Consistency and Coverage in Configurational Causal Modeling 配置因果建模中的一致性和覆盖率优化
IF 6.3 2区 社会学
Sociological Methods & Research Pub Date : 2021-06-03 DOI: 10.1177/0049124121995554
Michael Baumgartner, Mathias Ambühl
{"title":"Optimizing Consistency and Coverage in Configurational Causal Modeling","authors":"Michael Baumgartner, Mathias Ambühl","doi":"10.1177/0049124121995554","DOIUrl":"https://doi.org/10.1177/0049124121995554","url":null,"abstract":"Consistency and coverage are two core parameters of model fit used by configurational comparative methods (CCMs) of causal inference. Among causal models that perform equally well in other respects (e.g., robustness or compliance with background theories), those with higher consistency and coverage are typically considered preferable. Finding the optimally obtainable consistency and coverage scores for data δ , so far, is a matter of repeatedly applying CCMs to δ while varying threshold settings. This article introduces a procedure called ConCovOpt that calculates, prior to actual CCM analyses, the consistency and coverage scores that can optimally be obtained by models inferred from δ . Moreover, we show how models reaching optimal scores can be methodically built in case of crisp-set and multi-value data. ConCovOpt is a tool, not for blindly maximizing model fit, but for rendering transparent the space of viable models at optimal fit scores in order to facilitate informed model selection—which, as we demonstrate by various data examples, may have substantive modeling implications.","PeriodicalId":21849,"journal":{"name":"Sociological Methods & Research","volume":"52 1","pages":"1288 - 1320"},"PeriodicalIF":6.3,"publicationDate":"2021-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/0049124121995554","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46505370","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
Network Diffusion Under Homophily and Consolidation as a Mechanism for Social Inequality 同质与巩固下的网络扩散:社会不平等的机制
IF 6.3 2区 社会学
Sociological Methods & Research Pub Date : 2021-05-28 DOI: 10.1177/00491241211014237
Linda Zhao, F. Garip
{"title":"Network Diffusion Under Homophily and Consolidation as a Mechanism for Social Inequality","authors":"Linda Zhao, F. Garip","doi":"10.1177/00491241211014237","DOIUrl":"https://doi.org/10.1177/00491241211014237","url":null,"abstract":"Network externalities (where the value of a practice is a function of network alters that have already adopted the practice) are mechanisms that exacerbate social inequality under the condition of homophily (where advantaged individuals poised to be primary adopters are socially connected to other advantaged individuals). In their 2011 article, Dimaggio and Garip use an agent-based model of diffusion on a real-life population for empirical illustration and, thus, do not consider consolidation (correlation between traits), a population parameter that shapes network structure and diffusion. Using an agent-based model, this article shows that prior findings linking homophily to segregated social ties and to differential diffusion outcomes are contingent on high levels of consolidation. Homophily, under low consolidation, is not sufficient to exacerbate existing differences in adoption probabilities across groups and can even end up alleviating intergroup inequality by facilitating diffusion.","PeriodicalId":21849,"journal":{"name":"Sociological Methods & Research","volume":"50 1","pages":"1150 - 1185"},"PeriodicalIF":6.3,"publicationDate":"2021-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/00491241211014237","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43568403","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: 31
A Theory of Higher Order Interactions Between Sensitive Variables: Empirical Evidences and an Application to a Variety of Smoking 敏感变量之间的高阶相互作用理论:经验证据及其在各种吸烟中的应用
IF 6.3 2区 社会学
Sociological Methods & Research Pub Date : 2021-05-20 DOI: 10.1177/0049124120986203
Oluwaseun L. Olanipekun, JuLong Zhao, Rongdong Wang, Stephen A.Sedory, Sarjinder Singh
{"title":"A Theory of Higher Order Interactions Between Sensitive Variables: Empirical Evidences and an Application to a Variety of Smoking","authors":"Oluwaseun L. Olanipekun, JuLong Zhao, Rongdong Wang, Stephen A.Sedory, Sarjinder Singh","doi":"10.1177/0049124120986203","DOIUrl":"https://doi.org/10.1177/0049124120986203","url":null,"abstract":"In carrying out surveys involving sensitive characteristics, randomized response models have been considered among the best techniques since they provide the maximum privacy protection to the respondents and procure honest responses. Over the years, researchers have carried out studies on the estimation of proportions of the population possessing sensitive characteristics. However, there is a paucity of research studies that have addressed higher order interactions between these sensitive characters. In this article, we develop a new theory based on three proposed randomized response models which we name as: simple model, semi-crossed model, and fully crossed model. Twenty-one new unbiased estimators of seven parameters are introduced, their variance expressions are derived, and unbiased estimators of variances are developed. The three models are compared under various values of the parameters by computing the percent relative efficiency of one model over another model. The most efficient model is then applied to study the population proportions of three varieties of smoking habits among students, and their first- and second-order interactions. The last four sections (Ninth to Twelfth) are verifications of theoretical results using the Cramer–Rao lower bounds of variances for the developed 21 new estimators in randomized response sampling.","PeriodicalId":21849,"journal":{"name":"Sociological Methods & Research","volume":"52 1","pages":"642 - 763"},"PeriodicalIF":6.3,"publicationDate":"2021-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/0049124120986203","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42929678","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
Robustness and Model Selection in Configurational Causal Modeling 组态因果模型的鲁棒性与模型选择
IF 6.3 2区 社会学
Sociological Methods & Research Pub Date : 2021-05-20 DOI: 10.1177/0049124120986200
Veli-Pekka Parkkinen, Michael Baumgartner
{"title":"Robustness and Model Selection in Configurational Causal Modeling","authors":"Veli-Pekka Parkkinen, Michael Baumgartner","doi":"10.1177/0049124120986200","DOIUrl":"https://doi.org/10.1177/0049124120986200","url":null,"abstract":"In recent years, proponents of configurational comparative methods (CCMs) have advanced various dimensions of robustness as instrumental to model selection. But these robustness considerations have not led to computable robustness measures, and they have typically been applied to the analysis of real-life data with unknown underlying causal structures, rendering it impossible to determine exactly how they influence the correctness of selected models. This article develops a computable criterion of fit-robustness, which quantifies the degree to which a CCM model agrees with other models inferred from the same data under systematically varied threshold settings of fit parameters. Based on two extended series of inverse search trials on data simulated from known causal structures, the article moreover provides a precise assessment of the degree to which fit-robustness scoring is conducive to finding a correct causal model and how it compares to other approaches of model selection.","PeriodicalId":21849,"journal":{"name":"Sociological Methods & Research","volume":"52 1","pages":"176 - 208"},"PeriodicalIF":6.3,"publicationDate":"2021-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/0049124120986200","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"65286655","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: 10
Surprising Causes: Propensity-adjusted Treatment Scores for Multimethod Case Selection 令人惊讶的原因:多方法病例选择的倾向性调整治疗分数
IF 6.3 2区 社会学
Sociological Methods & Research Pub Date : 2021-05-19 DOI: 10.1177/00491241211004632
Daniel J. Galvin, Jason N. Seawright
{"title":"Surprising Causes: Propensity-adjusted Treatment Scores for Multimethod Case Selection","authors":"Daniel J. Galvin, Jason N. Seawright","doi":"10.1177/00491241211004632","DOIUrl":"https://doi.org/10.1177/00491241211004632","url":null,"abstract":"Scholarship on multimethod case selection in the social sciences has developed rapidly in recent years, but many possibilities remain unexplored. This essay introduces an attractive and advantageou...","PeriodicalId":21849,"journal":{"name":"Sociological Methods & Research","volume":"1 1","pages":"004912412110046"},"PeriodicalIF":6.3,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/00491241211004632","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48588804","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: 1
Understanding the “Grievance Studies Affair” Papers and Why They Should Be Reinstated: A Response to Geoff Cole 理解“冤情研究事件”论文及其为什么应该恢复——对Geoff Cole的回应
IF 6.3 2区 社会学
Sociological Methods & Research Pub Date : 2021-05-11 DOI: 10.1177/00491241211009946
Helen Pluckrose, James Lindsay, Peter G. Boghossian
{"title":"Understanding the “Grievance Studies Affair” Papers and Why They Should Be Reinstated: A Response to Geoff Cole","authors":"Helen Pluckrose, James Lindsay, Peter G. Boghossian","doi":"10.1177/00491241211009946","DOIUrl":"https://doi.org/10.1177/00491241211009946","url":null,"abstract":"In April, 2020, Dr. Geoff Cole published, “Why the ‘Hoax’ Paper of Baldwin (2018) Should Be Reinstated.” We are the authors of the “Baldwin” paper published in Fat Studies. The paper satirized theoretical ideas within Fat Studies as part of a larger project to demonstrate the lack of rigor in certain theoretical approaches to cultural studies. In this response, we agree with Cole that our project should not be understood as hoaxes and that the retracted article should be reinstated, but defend our methods.","PeriodicalId":21849,"journal":{"name":"Sociological Methods & Research","volume":"50 1","pages":"1916 - 1936"},"PeriodicalIF":6.3,"publicationDate":"2021-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/00491241211009946","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44820271","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: 4
An Improved Two-stage Randomized Response Model for Estimating the Proportion of Sensitive Attribute 敏感属性比例估计的改进两阶段随机响应模型
IF 6.3 2区 社会学
Sociological Methods & Research Pub Date : 2021-05-05 DOI: 10.1177/00491241211009950
Ghulam Narjis, J. Shabbir
{"title":"An Improved Two-stage Randomized Response Model for Estimating the Proportion of Sensitive Attribute","authors":"Ghulam Narjis, J. Shabbir","doi":"10.1177/00491241211009950","DOIUrl":"https://doi.org/10.1177/00491241211009950","url":null,"abstract":"The randomized response technique (RRT) is an effective method designed to obtain the stigmatized information from respondents while assuring the privacy. In this study, we propose a new two-stage RRT model to estimate the prevalence of sensitive attribute ( π ). A simulation study shows that the empirical mean and variance of proposed estimator are close to corresponding theoretical values. The utility of proposed two-stage RRT model under stratification is also explored. An efficiency comparison between proposed two-stage RRT model and some existing RRT models is carried out numerically under simple and stratified random sampling.","PeriodicalId":21849,"journal":{"name":"Sociological Methods & Research","volume":"52 1","pages":"335 - 355"},"PeriodicalIF":6.3,"publicationDate":"2021-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/00491241211009950","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42261211","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: 6
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信