Pub Date : 2022-12-05DOI: 10.1080/13645579.2022.2153977
Michelle O’Reilly, S. Haffejee, Şeyda Eruyar, Grace Sykes, P. Vostanis
{"title":"Benefits and challenges of engaging Majority World children in interdisciplinary, multi-qualitative-method, mental health research","authors":"Michelle O’Reilly, S. Haffejee, Şeyda Eruyar, Grace Sykes, P. Vostanis","doi":"10.1080/13645579.2022.2153977","DOIUrl":"https://doi.org/10.1080/13645579.2022.2153977","url":null,"abstract":"","PeriodicalId":14272,"journal":{"name":"International Journal of Social Research Methodology","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2022-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48151998","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-02DOI: 10.1080/13645579.2022.2153475
Jean Philippe Décieux, Andreas Heinz
{"title":"Does a short-term deadline extension affect participation rates of an online survey? Experimental evidence from an online panel","authors":"Jean Philippe Décieux, Andreas Heinz","doi":"10.1080/13645579.2022.2153475","DOIUrl":"https://doi.org/10.1080/13645579.2022.2153475","url":null,"abstract":"","PeriodicalId":14272,"journal":{"name":"International Journal of Social Research Methodology","volume":"1 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60141360","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-30DOI: 10.21487/jrm.2022.11.7.3.41
Jeong-hyeon Choi, Yong-Hwan Kim, Gho Kim
{"title":"The influence of eWOM from social media on portal site search and click behavior : focusing on ‘Instagram’, ‘Youtube’, and ‘Naver’","authors":"Jeong-hyeon Choi, Yong-Hwan Kim, Gho Kim","doi":"10.21487/jrm.2022.11.7.3.41","DOIUrl":"https://doi.org/10.21487/jrm.2022.11.7.3.41","url":null,"abstract":"","PeriodicalId":14272,"journal":{"name":"International Journal of Social Research Methodology","volume":"8 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72674422","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-30DOI: 10.21487/jrm.2022.11.7.3.1
Y. Shin, Seong-jin Choi
{"title":"Effects of MBCT Program on Perceived Stress, Self-efficacy, and Emotion Control in Freelance Instructors -Focusing on video call group counseling-","authors":"Y. Shin, Seong-jin Choi","doi":"10.21487/jrm.2022.11.7.3.1","DOIUrl":"https://doi.org/10.21487/jrm.2022.11.7.3.1","url":null,"abstract":"","PeriodicalId":14272,"journal":{"name":"International Journal of Social Research Methodology","volume":"22 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90505001","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-21DOI: 10.1080/13645579.2022.2148914
A. Ghekiere, Billie Martiniello, P. Verhaeghe
{"title":"Addressing methodological assumptions of correspondence tests when measuring discrimination","authors":"A. Ghekiere, Billie Martiniello, P. Verhaeghe","doi":"10.1080/13645579.2022.2148914","DOIUrl":"https://doi.org/10.1080/13645579.2022.2148914","url":null,"abstract":"","PeriodicalId":14272,"journal":{"name":"International Journal of Social Research Methodology","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48690913","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-04DOI: 10.1080/13645579.2022.2137935
C. Elsenbroich, J. Badham
ABSTRACT Agent-based models combine data and theory during both development and use of the model. As models have become increasingly data driven, it is easy to start thinking of agent-based modelling as an empirical method, akin to statistical modelling, and reduce the role of theory. We argue that both types of information are important where the past is not a reliable blueprint for the future, which occurs when modelling dynamic complex systems or to explore the implications of change. By balancing theory and data, agent-based modelling is a tool to describe plausible futures, that we call ‘justified stories’. We conclude that this balance must be maintained if agent-based models are to serve as a useful decision support tool for policymakers.
{"title":"Negotiating a Future that is not like the Past","authors":"C. Elsenbroich, J. Badham","doi":"10.1080/13645579.2022.2137935","DOIUrl":"https://doi.org/10.1080/13645579.2022.2137935","url":null,"abstract":"ABSTRACT Agent-based models combine data and theory during both development and use of the model. As models have become increasingly data driven, it is easy to start thinking of agent-based modelling as an empirical method, akin to statistical modelling, and reduce the role of theory. We argue that both types of information are important where the past is not a reliable blueprint for the future, which occurs when modelling dynamic complex systems or to explore the implications of change. By balancing theory and data, agent-based modelling is a tool to describe plausible futures, that we call ‘justified stories’. We conclude that this balance must be maintained if agent-based models are to serve as a useful decision support tool for policymakers.","PeriodicalId":14272,"journal":{"name":"International Journal of Social Research Methodology","volume":"26 1","pages":"207 - 213"},"PeriodicalIF":3.3,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41590124","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-02DOI: 10.1080/13645579.2022.2137919
D. Anzola, César García-Díaz
ABSTRACT Researchers have become increasingly interested in the potential use of agent-based modelling for the prediction of social phenomena, motivated by the desire, first, to further cement the method’s scientific status and, second, to participate in other scenarios, particularly in the aid of decision-making. This article contributes to the current discussion on prediction from the perspective of the disciplinary organisation of agent-based social simulation. It addresses conceptual and practical challenges pertaining to the community of practitioners, rather than individual instances of modelling. As such, it provides recommendations that invite both collective critical discussion and cooperation. The first two sections review conceptual challenges associated with the concept of prediction and its instantiation in the computational modelling of complex social phenomena. They identify methodological gaps and disagreements that warrant further analysis. The second two sections consider practical challenges related to the lack of a prediction framework that, on one hand, gives meaning and accommodates everyday prediction practices and, on the other hand, establishes more clearly the connection between prediction and other epistemic goals. This coordination at the practical level, it is claimed, might help to better position prediction with agent-based modelling within the larger social science’s methodological landscape.
{"title":"What kind of prediction? Evaluating different facets of prediction in agent-based social simulation","authors":"D. Anzola, César García-Díaz","doi":"10.1080/13645579.2022.2137919","DOIUrl":"https://doi.org/10.1080/13645579.2022.2137919","url":null,"abstract":"ABSTRACT Researchers have become increasingly interested in the potential use of agent-based modelling for the prediction of social phenomena, motivated by the desire, first, to further cement the method’s scientific status and, second, to participate in other scenarios, particularly in the aid of decision-making. This article contributes to the current discussion on prediction from the perspective of the disciplinary organisation of agent-based social simulation. It addresses conceptual and practical challenges pertaining to the community of practitioners, rather than individual instances of modelling. As such, it provides recommendations that invite both collective critical discussion and cooperation. The first two sections review conceptual challenges associated with the concept of prediction and its instantiation in the computational modelling of complex social phenomena. They identify methodological gaps and disagreements that warrant further analysis. The second two sections consider practical challenges related to the lack of a prediction framework that, on one hand, gives meaning and accommodates everyday prediction practices and, on the other hand, establishes more clearly the connection between prediction and other epistemic goals. This coordination at the practical level, it is claimed, might help to better position prediction with agent-based modelling within the larger social science’s methodological landscape.","PeriodicalId":14272,"journal":{"name":"International Journal of Social Research Methodology","volume":"26 1","pages":"171 - 191"},"PeriodicalIF":3.3,"publicationDate":"2022-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48669494","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-30DOI: 10.1080/13645579.2022.2138107
Bronwyn E. Wood, Brian Ristow
{"title":"Everyday talk: self-directed peer focus groups with diverse youth","authors":"Bronwyn E. Wood, Brian Ristow","doi":"10.1080/13645579.2022.2138107","DOIUrl":"https://doi.org/10.1080/13645579.2022.2138107","url":null,"abstract":"","PeriodicalId":14272,"journal":{"name":"International Journal of Social Research Methodology","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48024963","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-30DOI: 10.1080/13645579.2022.2137921
B. Edmonds
ABSTRACT This paper looks at the tension between the desire to claim predictive ability for Agent-Based Models (ABMs) and its extreme difficulty for social and ecological systems, suggesting that this is the main cause for the continuance of a rhetoric of prediction that is at odds with what is achievable. Following others, it recommends that it is better to avoid giving the impression of predictive ability until this has been iteratively and independently verified, due to the danger of suggesting more than is empirically warranted, especially in non-modellers. It notes that there is a restricted and technical context where prediction is useful, that of meta-modelling – when we are trying to explain and understand our own simulation models. If one is going to claim prediction, then a lot more care needs to be taken, implying minimal standards in practice and transparent honesty about the empirical track record – the over-enthusiastic claiming of prediction in casual ways needs to cease.
{"title":"The practice and rhetoric of prediction – the case in agent-based modelling","authors":"B. Edmonds","doi":"10.1080/13645579.2022.2137921","DOIUrl":"https://doi.org/10.1080/13645579.2022.2137921","url":null,"abstract":"ABSTRACT This paper looks at the tension between the desire to claim predictive ability for Agent-Based Models (ABMs) and its extreme difficulty for social and ecological systems, suggesting that this is the main cause for the continuance of a rhetoric of prediction that is at odds with what is achievable. Following others, it recommends that it is better to avoid giving the impression of predictive ability until this has been iteratively and independently verified, due to the danger of suggesting more than is empirically warranted, especially in non-modellers. It notes that there is a restricted and technical context where prediction is useful, that of meta-modelling – when we are trying to explain and understand our own simulation models. If one is going to claim prediction, then a lot more care needs to be taken, implying minimal standards in practice and transparent honesty about the empirical track record – the over-enthusiastic claiming of prediction in casual ways needs to cease.","PeriodicalId":14272,"journal":{"name":"International Journal of Social Research Methodology","volume":"26 1","pages":"157 - 170"},"PeriodicalIF":3.3,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49408451","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-27DOI: 10.1080/13645579.2022.2137938
D. Carpentras, M. Quayle
ABSTRACT Agent-based models (ABMs) often rely on psychometric constructs such as ‘opinions’, ‘stubbornness’, ‘happiness’, etc. The measurement process for these constructs is quite different from the one used in physics as there is no standardized unit of measurement for opinion or happiness. Consequently, measurements are usually affected by ‘psychometric distortions,’ which can substantially impact models’ predictions. Even if distortions are well known in psychometrics, their existence and nature is obscure to many researchers outside this field. In this paper, we introduce distortions to the ABM community. Initially, we show where distortions come from and how to observe them in real-world data. We then show how they can strongly impact predictions, qualitative comparison with data and the problem they pose for validation of models. We conclude our analysis by discussing how researchers may mitigate this problem and highlight possible future modelling trends that will address this problem.
{"title":"The psychometric house-of-mirrors: the effect of measurement distortions on agent-based models’ predictions","authors":"D. Carpentras, M. Quayle","doi":"10.1080/13645579.2022.2137938","DOIUrl":"https://doi.org/10.1080/13645579.2022.2137938","url":null,"abstract":"ABSTRACT Agent-based models (ABMs) often rely on psychometric constructs such as ‘opinions’, ‘stubbornness’, ‘happiness’, etc. The measurement process for these constructs is quite different from the one used in physics as there is no standardized unit of measurement for opinion or happiness. Consequently, measurements are usually affected by ‘psychometric distortions,’ which can substantially impact models’ predictions. Even if distortions are well known in psychometrics, their existence and nature is obscure to many researchers outside this field. In this paper, we introduce distortions to the ABM community. Initially, we show where distortions come from and how to observe them in real-world data. We then show how they can strongly impact predictions, qualitative comparison with data and the problem they pose for validation of models. We conclude our analysis by discussing how researchers may mitigate this problem and highlight possible future modelling trends that will address this problem.","PeriodicalId":14272,"journal":{"name":"International Journal of Social Research Methodology","volume":"26 1","pages":"215 - 231"},"PeriodicalIF":3.3,"publicationDate":"2022-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48087320","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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