Sociological Methods & Research最新文献

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A New Approach to Detecting Cheating in Sensitive Surveys: The Cheating Detection Triangular Model 敏感调查中作弊检测的新方法:作弊检测三角模型
IF 6.3 2区 社会学
Sociological Methods & Research Pub Date : 2022-01-19 DOI: 10.1177/00491241211055764
Julia Meisters, Adrian Hoffmann, J. Musch
{"title":"A New Approach to Detecting Cheating in Sensitive Surveys: The Cheating Detection Triangular Model","authors":"Julia Meisters, Adrian Hoffmann, J. Musch","doi":"10.1177/00491241211055764","DOIUrl":"https://doi.org/10.1177/00491241211055764","url":null,"abstract":"Indirect questioning techniques such as the randomized response technique aim to control social desirability bias in surveys of sensitive topics. To improve upon previous indirect questioning techniques, we propose the new Cheating Detection Triangular Model. Similar to the Cheating Detection Model, it includes a mechanism for detecting instruction non-adherence, and similar to the Triangular Model, it uses simplified instructions to improve respondents’ understanding of the procedure. Based on a comparison with the known prevalence of a sensitive attribute serving as external criterion, we report the first individual-level validation of the Cheating Detection Model, the Triangular Model and the Cheating Detection Triangular Model. Moreover, the sensitivity and specificity of all models was assessed, as well as the respondents’ subjective evaluation of all questioning technique formats. Based on our results, the Cheating Detection Triangular Model appears to be the best choice among the investigated indirect questioning techniques.","PeriodicalId":21849,"journal":{"name":"Sociological Methods & Research","volume":" ","pages":""},"PeriodicalIF":6.3,"publicationDate":"2022-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43947881","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
Self-protecting responses in randomized response designs: A survey on intimate partner violence during the coronavirus disease 2019 pandemic 随机反应设计中的自我保护反应:2019冠状病毒病大流行期间亲密伴侣暴力调查
IF 6.3 2区 社会学
Sociological Methods & Research Pub Date : 2022-01-17 DOI: 10.1177/00491241211043138
Fabiola Reiber, D. Bryce, R. Ulrich
{"title":"Self-protecting responses in randomized response designs: A survey on intimate partner violence during the coronavirus disease 2019 pandemic","authors":"Fabiola Reiber, D. Bryce, R. Ulrich","doi":"10.1177/00491241211043138","DOIUrl":"https://doi.org/10.1177/00491241211043138","url":null,"abstract":"Randomized response techniques (RRTs) are applied to reduce response biases in self-report surveys on sensitive research questions (e.g., on socially undesirable characteristics). However, there is evidence that they cannot completely eliminate self-protecting response strategies. To address this problem, there are RRTs specifically designed to measure the extent of such strategies. Here we assessed the recently devised unrelated question model—cheating extension (UQMC) in a preregistered online survey on intimate partner violence (IPV) victimization and perpetration during the first contact restrictions as containment measures for the outbreak of the coronavirus disease 2019 pandemic in Germany in early 2020. The UQMC accounting for self-protecting responses described the data better than its predecessor model which assumes instruction adherence. The resulting three-month prevalence estimates were about 10% and we found a high proportion of self-protecting responses in the group of female participants queried about IPV victimization. However, unexpected results concerning the differences in prevalence estimates across the groups queried about victimization and perpetration highlight the difficulty of investigating sensitive research questions even using methods that guarantee anonymity and the importance of interpreting the respective estimates with caution.","PeriodicalId":21849,"journal":{"name":"Sociological Methods & Research","volume":" ","pages":""},"PeriodicalIF":6.3,"publicationDate":"2022-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44038506","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
Recurrent Multinomial Models for Categorical Sequences 范畴序列的递归多项式模型
IF 6.3 2区 社会学
Sociological Methods & Research Pub Date : 2022-01-11 DOI: 10.1177/00491241211067513
Michael Schultz
{"title":"Recurrent Multinomial Models for Categorical Sequences","authors":"Michael Schultz","doi":"10.1177/00491241211067513","DOIUrl":"https://doi.org/10.1177/00491241211067513","url":null,"abstract":"This paper presents a model of recurrent multinomial sequences. Though there exists a quite considerable literature on modeling autocorrelation in numerical data and sequences of categorical outcomes, there is currently no systematic method of modeling patterns of recurrence in categorical sequences. This paper develops a means of discovering recurrent patterns by employing a more restrictive Markov assumption. The resulting model, which I call the recurrent multinomial model, provides a parsimonious representation of recurrent sequences, enabling the investigation of recurrences on longer time scales than existing models. The utility of recurrent multinomial models is demonstrated by applying them to the case of conversational turn-taking in meetings of the Federal Open Market Committee (FOMC). Analyses are effectively able to discover norms around turn-reclaiming, participation, and suppression and to evaluate how these norms vary throughout the course of the meeting.","PeriodicalId":21849,"journal":{"name":"Sociological Methods & Research","volume":" ","pages":""},"PeriodicalIF":6.3,"publicationDate":"2022-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45767592","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
And the Rest is History: Measuring the Scope and Recall of Wikipedia’s Coverage of Three Women’s Movement Subgroups 剩下的就是历史:衡量维基百科对三个妇女运动小组的报道范围和回忆
IF 6.3 2区 社会学
Sociological Methods & Research Pub Date : 2021-12-30 DOI: 10.1177/00491241211067514
Laura K. Nelson, R. Getman, S. Haque
{"title":"And the Rest is History: Measuring the Scope and Recall of Wikipedia’s Coverage of Three Women’s Movement Subgroups","authors":"Laura K. Nelson, R. Getman, S. Haque","doi":"10.1177/00491241211067514","DOIUrl":"https://doi.org/10.1177/00491241211067514","url":null,"abstract":"Narrating history is perpetually contested, shaping and reshaping how nations and people understand both their pasts and the current moment. Measuring and evaluating the scope of histories is methodologically challenging. In this paper we provide a general approach and a specific method to measure historical recall. Operationalizing historical information as one or more word phrases, we use the phrase-mining RAKE algorithm on a collection of primary historical documents to extract first-person historical evidence, and then measure recall via phrases present on contemporary Wikipedia, taken to represent a publicly-accessible summary of existing knowledge on virtually any historical topic. We demonstrate this method using women's movements in the United States as a case study of a debated historical field. We found that issues important to working-class elements of the movement were less likely to be covered on Wikipedia compared to other subsections of the movement. Combining this method with a qualitative analysis of select articles, we identified a typology of mechanisms leading to historical omissions: paucity, restrictive paradigms, and categorical narrowness. Our approach, we conclude, can be used to both evaluate the recall of a body of history and to actively intervene in enlarging the scope of our histories and historical knowledge.","PeriodicalId":21849,"journal":{"name":"Sociological Methods & Research","volume":"51 1","pages":"1788 - 1825"},"PeriodicalIF":6.3,"publicationDate":"2021-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49416707","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 Joint Model for Longitudinal and Time-to-event Data in Social and Life Course Research: Employment Status and Time to Retirement 社会与生命历程研究中纵向与事件时间数据的联合模型:就业状况与退休时间
IF 6.3 2区 社会学
Sociological Methods & Research Pub Date : 2021-12-14 DOI: 10.1177/00491241211055770
J. Cremers, L. Mortensen, C. Ekstrøm
{"title":"A Joint Model for Longitudinal and Time-to-event Data in Social and Life Course Research: Employment Status and Time to Retirement","authors":"J. Cremers, L. Mortensen, C. Ekstrøm","doi":"10.1177/00491241211055770","DOIUrl":"https://doi.org/10.1177/00491241211055770","url":null,"abstract":"Longitudinal studies including a time-to-event outcome in social research often use a form of event history analysis to analyse the influence of time-varying endogenous covariates on the time-to-event outcome. Many standard event history models however assume the covariates of interest to be exogenous and inclusion of an endogenous covariate may lead to bias. Although such bias can be dealt with by using joint models for longitudinal and time-to-event outcomes, these types of models are underused in social research. In order to fill this gap in the social science modelling toolkit, we introduce a novel Bayesian joint model in which a multinomial longitudinal outcome is modelled simultaneously with a time-to-event outcome. The methodological novelty of this model is that it concerns a correlated random effects association structure that includes a multinomial longitudinal outcome. We show the use of the joint model on Danish labour market data and compare the joint model to a standard event history model. The joint model has three advantages over a standard survival model. It decreases bias, allows us to explore the relation between exogenous covariates and the longitudinal outcome and can be flexibly extended with multiple time-to-event and longitudinal outcomes.","PeriodicalId":21849,"journal":{"name":"Sociological Methods & Research","volume":" ","pages":""},"PeriodicalIF":6.3,"publicationDate":"2021-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41726288","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
An Empirical Comparison of Four Generalized Trust Scales: Test–Retest Reliability, Measurement Invariance, Predictive Validity, and Replicability 四种广义信任量表的实证比较:测重信度、测量不变性、预测效度和可复制性
IF 6.3 2区 社会学
Sociological Methods & Research Pub Date : 2021-12-08 DOI: 10.1177/00491241211055765
Blaine G. Robbins
{"title":"An Empirical Comparison of Four Generalized Trust Scales: Test–Retest Reliability, Measurement Invariance, Predictive Validity, and Replicability","authors":"Blaine G. Robbins","doi":"10.1177/00491241211055765","DOIUrl":"https://doi.org/10.1177/00491241211055765","url":null,"abstract":"The Stranger Face Trust scale (SFT) and Imaginary Stranger Trust scale (IST) are two new self-report measures of generalized trust that assess trust in strangers—both real and imaginary—across four trust domains. Prior research has established the reliability and validity of SFT and IST, but a number of measurement validation tests remain. Across three separate studies, I assess the test–retest reliability, measurement invariance, predictive validity, and replicability of SFT and IST, with the misanthropy scale (MST) and generalized social trust scale (GST) serving as benchmarks. First, tests of internal consistency, test–retest reliability, and longitudinal measurement invariance established that all four generalized trust scales were acceptably reliable, with SFT and IST yielding greater overall reliability than MST and GST. Second, tests of multiple group measurement invariance revealed that SFT and IST were equivalent across gender, race, education, and age groups, while MST and GST were non-equivalent across the same sociodemographic groups. Third, an investment game established the predictive validity of SFT and MST, with IST and GST yielding poor predictive validity. Fourth, tests of factor structure and measurement invariance indicated that all four generalized trust scales replicated across samples. The present findings bolster the validity, reliability, and measurement equivalence of SFT and IST, while illustrating the compromised validity and measurement non-equivalence of MST and GST. Implications for the measurement of generalized trust are discussed.","PeriodicalId":21849,"journal":{"name":"Sociological Methods & Research","volume":" ","pages":""},"PeriodicalIF":6.3,"publicationDate":"2021-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45705214","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
Analyzing factorial survey data with structural equation models 用结构方程模型分析析因调查数据
IF 6.3 2区 社会学
Sociological Methods & Research Pub Date : 2021-11-29 DOI: 10.1177/00491241211043139
Bert Weijters, E. Davidov, H. Baumgartner
{"title":"Analyzing factorial survey data with structural equation models","authors":"Bert Weijters, E. Davidov, H. Baumgartner","doi":"10.1177/00491241211043139","DOIUrl":"https://doi.org/10.1177/00491241211043139","url":null,"abstract":"In factorial survey designs, respondents evaluate multiple short descriptions of social objects (vignettes) that experimentally vary different levels of attributes of interest. Analytical methods (including individual-level regression analysis and multilevel models) estimate the weights (or utilities) assigned to the levels of the different attributes by participants to arrive at an overall response to the vignettes. In the current paper, we explain how data from factorial surveys can be analyzed in a structural equation modeling framework using an approach called structural equation modeling for within-subject experiments. We review the use of factorial surveys in social science research, discuss typically used methods to analyze factorial survey data, introduce the structural equation modeling for within-subject experiments approach, and present an empirical illustration of the proposed method. We conclude by describing several extensions, providing some practical recommendations, and discussing potential limitations.","PeriodicalId":21849,"journal":{"name":"Sociological Methods & Research","volume":" ","pages":""},"PeriodicalIF":6.3,"publicationDate":"2021-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47376067","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
Using Inverse Probability Weighting to Address Post-Outcome Collider Bias 使用逆概率加权来解决结果后对撞机偏差
IF 6.3 2区 社会学
Sociological Methods & Research Pub Date : 2021-11-17 DOI: 10.1177/00491241211043131
R. Breen, J. Ermisch
{"title":"Using Inverse Probability Weighting to Address Post-Outcome Collider Bias","authors":"R. Breen, J. Ermisch","doi":"10.1177/00491241211043131","DOIUrl":"https://doi.org/10.1177/00491241211043131","url":null,"abstract":"We consider the problem of bias arising from conditioning on a post-outcome collider. We illustrate this with reference to Elwert and Winship (2014) but we go beyond their study to investigate the extent to which inverse probability weighting might offer solutions. We use linear models to derive expressions for the bias arising in different kinds of post-outcome confounding, and we show the specific situations in which inverse probability weighting will allow us to obtain estimates that are consistent or, if not consistent, less biased than those obtained via ordinary least squares regression.","PeriodicalId":21849,"journal":{"name":"Sociological Methods & Research","volume":" ","pages":""},"PeriodicalIF":6.3,"publicationDate":"2021-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48294582","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
Method Bias Mechanisms and Procedural Remedies 方法偏倚机制和程序补救
IF 6.3 2区 社会学
Sociological Methods & Research Pub Date : 2021-11-10 DOI: 10.1177/00491241211043141
Minghui Yao, Y. Xu
{"title":"Method Bias Mechanisms and Procedural Remedies","authors":"Minghui Yao, Y. Xu","doi":"10.1177/00491241211043141","DOIUrl":"https://doi.org/10.1177/00491241211043141","url":null,"abstract":"As a crucial method in organizational and social behavior research, self-report surveys must manage method bias. Method biases are distorted scores in survey response, distorted variance in variables, and distorted relational estimates between variables caused by method designs. Studies on method bias have focused on post hoc statistical control, but integrated analyses of the sociopsychological mechanism of method bias are lacking. This review proposes a framework for method bias and offers a relatively complete and detailed review of the sociopsychological and statistical mechanisms of four main types of method bias and their procedural remedies. This review proposes “reduce, remove, and rectify” as a guideline for researchers in survey design to address method bias. Finally, this review presents two directions for future methodology research.","PeriodicalId":21849,"journal":{"name":"Sociological Methods & Research","volume":"1 1","pages":""},"PeriodicalIF":6.3,"publicationDate":"2021-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41328622","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
Agent-Based Models for Assessing Complex Statistical Models: An Example Evaluating Selection and Social Influence Estimates from SIENA. 评估复杂统计模型的基于主体的模型:一个评估SIENA选择和社会影响估计的例子。
IF 6.5 2区 社会学
Sociological Methods & Research Pub Date : 2021-11-01 Epub Date: 2019-04-01 DOI: 10.1177/0049124119826147
Sebastian Daza, L Kurt Kreuger
{"title":"Agent-Based Models for Assessing Complex Statistical Models: An Example Evaluating Selection and Social Influence Estimates from SIENA.","authors":"Sebastian Daza, L Kurt Kreuger","doi":"10.1177/0049124119826147","DOIUrl":"10.1177/0049124119826147","url":null,"abstract":"<p><p>Although agent-based models (ABMs) have been increasingly accepted in social sciences as a valid tool to formalize theory, propose mechanisms able to recreate regularities, and guide empirical research, we are not aware of any research using ABMs to assess the robustness of our statistical methods. We argue that ABMs can be extremely helpful to assess models when the phenomena under study are complex. As an example, we create an ABM to evaluate the estimation of selection and influence effects by SIENA, a stochastic actor-oriented model proposed by Tom A. B. Snijders and colleagues. It is a prominent network analysis method that has gained popularity during the last 10 years and been applied to estimate selection and influence for a broad range of behaviors and traits such as substance use, delinquency, violence, health, and educational attainment. However, we know little about the conditions for which this method is reliable or the particular biases it might have. The results from our analysis show that selection and influence are estimated by SIENA asymmetrically and that, with very simple assumptions, we can generate data where selection estimates are highly sensitive to misspecification, suggesting caution when interpreting SIENA analyses.</p>","PeriodicalId":21849,"journal":{"name":"Sociological Methods & Research","volume":"50 4","pages":"1725-1762"},"PeriodicalIF":6.5,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8491991/pdf/nihms-1021951.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39495517","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: 0
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