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Anna-Carolina Haensch; Jonathan Bartlett; Bernd Weiß – Sociological Methods & Research, 2024
Discrete-time survival analysis (DTSA) models are a popular way of modeling events in the social sciences. However, the analysis of discrete-time survival data is challenged by missing data in one or more covariates. Negative consequences of missing covariate data include efficiency losses and possible bias. A popular approach to circumventing…
Descriptors: Research Methodology, Research Problems, Social Science Research, Statistical Analysis
Jolien Cremers; Laust Hvas Mortensen; Claus Thorn Ekstrøm – Sociological Methods & Research, 2024
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…
Descriptors: Longitudinal Studies, Social Science Research, Research Methodology, Bayesian Statistics
Chattoe-Brown, Edmund – International Journal of Social Research Methodology, 2023
This article argues that Agent-Based Modelling, owing to its capabilities and methodology, has a distinctive contribution to make to delivering coherent social science prediction. The argument has four parts. The first identifies key elements of social science prediction induced from real research across disciplines, thus avoiding a straw person…
Descriptors: Futures (of Society), Models, Evaluation Methods, Social Science Research
Luo, Liying; Hodges, James S. – Sociological Methods & Research, 2022
Social scientists have frequently sought to understand the distinct effects of age, period, and cohort, but disaggregation of the three dimensions is difficult because cohort = period - age. We argue that this technical difficulty reflects a disconnection between how the cohort effect is conceptualized and how it is modeled in the traditional…
Descriptors: Social Sciences, Time, Age, Population Groups
Quimby, Barbara; Beresford, Melissa – Field Methods, 2023
Participatory modeling (PM) is an engaged research methodology for creating analog or computer-based models of complex systems, such as socio-environmental systems. Used across a range of fields, PM centers stakeholder knowledge and participation to create more internally valid models that can inform policy and increase engagement and trust…
Descriptors: Research Methodology, Models, Stakeholders, World Views
Tong, Guangyu; Guo, Guang – Sociological Methods & Research, 2022
Meta-analysis is a statistical method that combines quantitative findings from previous studies. It has been increasingly used to obtain more credible results in a wide range of scientific fields. Combining the results of relevant studies allows researchers to leverage study similarities while modeling potential sources of between-study…
Descriptors: Meta Analysis, Social Science Research, Regression (Statistics), Statistical Bias
Duncan J. Mayer; Victor Groza – American Journal of Evaluation, 2025
The Nuremberg Code established ethics for the involvement of humans in research, initially in the area of health and medical research. While aspects of the code have been extended to the social and behavioral sciences, program evaluation does not always implement those policies, procedures, and protocols for protecting research participants,…
Descriptors: Childrens Rights, Trauma, Participatory Research, Guidelines
Chattoe-Brown, Edmund – International Journal of Social Research Methodology, 2021
This article demonstrates how a technique called Agent-Based Modelling can address a significant challenge for effective interdisciplinarity. Different disciplines and research methods make divergent assertions about what a satisfactory explanation requires. However, without a unified framework analysing the implications of these differences…
Descriptors: Interdisciplinary Approach, Models, Research Methodology, Statistical Analysis

Kenneth A. Frank; Qinyun Lin; Spiro J. Maroulis – Grantee Submission, 2024
In the complex world of educational policy, causal inferences will be debated. As we review non-experimental designs in educational policy, we focus on how to clarify and focus the terms of debate. We begin by presenting the potential outcomes/counterfactual framework and then describe approximations to the counterfactual generated from the…
Descriptors: Causal Models, Statistical Inference, Observation, Educational Policy
Jacob M. Schauer; Kaitlyn G. Fitzgerald; Sarah Peko-Spicer; Mena C. R. Whalen; Rrita Zejnullahi; Larry V. Hedges – Grantee Submission, 2021
Several programs of research have sought to assess the replicability of scientific findings in different fields, including economics and psychology. These programs attempt to replicate several findings and use the results to say something about large-scale patterns of replicability in a field. However, little work has been done to understand the…
Descriptors: Statistical Analysis, Research Methodology, Evaluation Methods, Replication (Evaluation)
Dalton, Julie – Studies in the Education of Adults, 2020
The central theme of this paper is about providing opportunities for the participants to discuss sensitive issues in a safe environment with the researcher and group, actively listening and making meaning from their creative efforts. It introduces a creative research method used to provide a medium for adults to discuss a sensitive issue. The…
Descriptors: Research Methodology, Adults, Models, Creative Activities
Algesheimer, René; Bagozzi, Richard P.; Dholakia, Utpal M. – Sociological Methods & Research, 2018
We offer a new conceptualization and measurement models for constructs at the group-level of analysis in small group research. The conceptualization starts with classical notions of group behavior proposed by Tönnies, Simmel, and Weber and then draws upon plural subject theory by philosophers Gilbert and Tuomela to frame a new perspective…
Descriptors: Models, Groups, Group Behavior, Theories
Vadeboncoeur, Claudia; Townsend, Nick; Foster, Charlie; Sheehan, Mark – Research Ethics, 2016
Conducting large multi-site research within universities highlights inconsistencies between universities in approaches, requirements and responses of research ethics committees. Within the context of a social science research study, we attempted to obtain ethical approval from 101 universities across England to recruit students for a short online…
Descriptors: Foreign Countries, Social Science Research, Ethics, Recruitment
Nind, Melanie; Armstrong, Alan; Cansdale, Mal; Collis, Anne; Hooper, Clare; Parsons, Sarah; Power, Andrew – International Journal of Social Research Methodology, 2017
This paper explores the potential of an online TimeBank for inclusive research to address some of the challenges related to the unequal distribution of power and money for researchers within and outside the academy working in collaboration. The problem, the concept of TimeBanking, and the relationship of TimeBanking to inclusive research…
Descriptors: Social Science Research, Money Management, Banking, Power Structure
Vuolo, Mike – Sociological Methods & Research, 2017
Often in sociology, researchers are confronted with nonnormal variables whose joint distribution they wish to explore. Yet, assumptions of common measures of dependence can fail or estimating such dependence is computationally intensive. This article presents the copula method for modeling the joint distribution of two random variables, including…
Descriptors: Sociology, Research Methodology, Social Science Research, Models