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Welzel, Christian; Brunkert, Lennart; Kruse, Stefan; Inglehart, Ronald F. – Sociological Methods & Research, 2023
Scholars study representative international surveys to understand cross-cultural differences in mentality patterns, which are measured via complex multi-item constructs. Methodologists in this field insist with increasing vigor that detecting "non-invariance" in how a construct's items associate with each other in different national…
Descriptors: Cross Cultural Studies, Social Science Research, Factor Analysis, Measurement Techniques
Goldstein, Yoav; Legewie, Nicolas M.; Shiffer-Sebba, Doron – Sociological Methods & Research, 2023
Video data offer important insights into social processes because they enable direct observation of real-life social interaction. Though such data have become abundant and increasingly accessible, they pose challenges to scalability and measurement. Computer vision (CV), i.e., software-based automated analysis of visual material, can help address…
Descriptors: Artificial Intelligence, Data Analysis, Interpersonal Relationship, Social Science Research
Hwang, Jackelyn; Dahir, Nima; Sarukkai, Mayuka; Wright, Gabby – Sociological Methods & Research, 2023
Visual data have dramatically increased in quantity in the digital age, presenting new opportunities for social science research. However, the extensive time and labor costs to process and analyze these data with existing approaches limit their use. Computer vision methods hold promise but often require large and nonexistent training data to…
Descriptors: Data Analysis, Visual Aids, Sanitation, Municipalities
Hertog, Steffen – Sociological Methods & Research, 2023
In mixed methods approaches, statistical models are used to identify "nested" cases for intensive, small-n investigation for a range of purposes, including notably the examination of causal mechanisms. This article shows that under a commonsense interpretation of causal effects, large-n models allow no reliable conclusions about effect…
Descriptors: Case Studies, Generalization, Prediction, Mixed Methods Research
Schnell, Rainer; Thomas, Kathrin – Sociological Methods & Research, 2023
This article provides a meta-analysis of studies using the crosswise model (CM) in estimating the prevalence of sensitive characteristics in different samples and populations. On a data set of 141 items published in 33 either articles or books, we compare the difference ([delta]) between estimates based on the CM and a direct question (DQ). The…
Descriptors: Meta Analysis, Models, Comparative Analysis, Publications
Schanze, Jan-Lucas – Sociological Methods & Research, 2023
An increasing age of respondents and cognitive impairment are usual suspects for increasing difficulties in survey interviews and a decreasing data quality. This is why survey researchers tend to label residents in retirement and nursing homes as hard-to-interview and exclude them from most social surveys. In this article, I examine to what extent…
Descriptors: Older Adults, Institutionalized Persons, Place of Residence, Family Environment
Rudloff, Peter; Vinson, Laura Thaut – Sociological Methods & Research, 2023
This article details the challenges we faced in collecting sensitive information in an ethnically and religiously divided community that has experienced recent violence. The discussion is based on a summer 2016 survey experiment we conducted in Jos, Nigeria, to gather information regarding residents' perceptions of local communal violence. We…
Descriptors: Ethnicity, Conflict, Violence, Foreign Countries
Bernasco, Wim; Hoeben, Evelien M.; Koelma, Dennis; Liebst, Lasse Suonperä; Thomas, Josephine; Appelman, Joska; Snoek, Cees G. M.; Lindegaard, Marie Rosenkrantz – Sociological Methods & Research, 2023
Social scientists increasingly use video data, but large-scale analysis of its content is often constrained by scarce manual coding resources. Upscaling may be possible with the application of automated coding procedures, which are being developed in the field of computer vision. Here, we introduce computer vision to social scientists, review the…
Descriptors: Video Technology, Social Science Research, Artificial Intelligence, Sociology
McCluskey, John D.; Uchida, Craig D. – Sociological Methods & Research, 2023
Video data analysis (VDA) represents an important methodological framework for contemporary research approaches to the myriad of footage available from cameras, devices, and phones. Footage from police body-worn cameras (BWCs) is anticipated to be a widely available platform for social science researchers to scrutinize the interactions between…
Descriptors: Video Technology, Data Analysis, Police, Police Community Relationship
Zhou, Hao; Ma, Xin – Sociological Methods & Research, 2023
Hierarchical linear modeling (HLM) is often used to estimate the effects of socioeconomic status (SES) on academic achievement at different levels of an educational system. However, if a prior academic achievement measure is missing in a HLM model, biased estimates may occur on the effects of student SES and school SES. Phantom effects describe…
Descriptors: Simulation, Hierarchical Linear Modeling, Socioeconomic Status, Institutional Characteristics
Baumgartner, Michael; Ambühl, Mathias – Sociological Methods & Research, 2023
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…
Descriptors: Causal Models, Evaluation Methods, Goodness of Fit, Scores
Kühne, Simon – Sociological Methods & Research, 2023
Survey interviewers can negatively affect survey data by introducing variance and bias into estimates. When investigating these interviewer effects, research typically focuses on interviewer sociodemographics with only a few studies examining the effects of characteristics that are not directly visible such as interviewer attitudes, opinions, and…
Descriptors: Surveys, Bias, Social Problems, Political Issues
Iannario, Maria; Tarantola, Claudia – Sociological Methods & Research, 2023
This contribution deals with effect measures for covariates in ordinal data models to address the interpretation of the results on the extreme categories of the scales, evaluate possible response styles, and motivate collapsing of extreme categories. It provides a simpler interpretation of the influence of the covariates on the probability of the…
Descriptors: Data Analysis, Data Interpretation, Probability, Models
Bignami-Van Assche, Simona; Boulet, Virginie; Simard, Charles-Olivier – Sociological Methods & Research, 2023
How household-level data from censuses and surveys are analyzed to study household structure is an issue that has received little attention. The present study proposes a new methodological approach to address this gap. Specifically, we introduce the idea of the household configuration as a mathematical representation of observations from the…
Descriptors: Family Structure, Census Figures, Surveys, Indigenous Populations
Kalmijn, Matthijs – Sociological Methods & Research, 2023
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…
Descriptors: National Surveys, Family Attitudes, Bias, Parents