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Arshad I. Ali; Rachel L. Talbert – Anthropology & Education Quarterly, 2024
This paper explores research in the always already colonized spaces of academia with people in what is now the United States. In research projects, Wilson (2008) reminds us to begin with community relationships. Through ethnographic work, we trouble the idea of beginning research via local powerbrokers, who may privilege particular narratives and…
Descriptors: Accountability, Social Science Research, Power Structure, Ethnography
Veronika Batzdorfer; Wolfgang Zenk-Möltgen; Laura Young; Alexia Katsanidou; Johannes Breuer; Libby Bishop – Research Ethics, 2024
Balancing speed and quality during crises pose challenges for ensuring the value and utility of data in social science research. The COVID-19 pandemic in particular underscores the need for high-quality data and rapid dissemination. Given the importance of behavioural measures and compliance with measures to contain the pandemic, social science…
Descriptors: Literature Reviews, Social Science Research, Data Analysis, COVID-19
Susan Ramlo – International Journal of Research & Method in Education, 2024
Considerations related to generalization of a study's findings are often interconnected to researchers' judgements regarding the 'quality' of the methodology and methodological pluralism. Too often, researchers consider generalization as only possible with respect to quantitative studies with large numbers of randomly selected participants…
Descriptors: Generalization, Q Methodology, Factor Analysis, Validity
Latimer, Abigail – Journal of Social Work Education, 2023
Emerging social work academics and researchers are warned about not falling victim to predatory publishers and journals; however, predatory conferences are increasingly common and present a real threat to research integrity. Anyone, regardless of age or experience, can fall victim to predatory or "fake conferences." Their duplicitous and…
Descriptors: Deception, Conferences (Gatherings), Social Work, Social Science Research
Aipara Berekeyeva; Elaine Sharplin; Matthew Courtney; Roza Sagitova – Research Ethics, 2024
Central Asian researchers are underrepresented in the global research production in social sciences, resulting in a limited Central Asian perspective on many social issues. To stimulate the production of local knowledge, it is important to develop strong research cultures, including knowledge of ethical practices in research with human…
Descriptors: Ethics, Research Methodology, Social Science Research, Foreign Countries
Abend, Gabriel – Sociological Methods & Research, 2022
I argue that what-makes-it-possible questions are a distinct and important kind of sociological research question. What is social phenomenon "P" made possible or enabled by? Results won't be about "P's" causes and causal relationships, but about its enablers and enabling relationships. I examine the character of…
Descriptors: Social Science Research, Sociology, Philosophy, Relationship
Arora, Prerna G.; Sullivan, Amanda L.; Song, Samuel Y. – School Psychology Review, 2023
Reflexivity, defined as the critical analysis of how one's identity and values influence their scholarship, has been underscored as a crucial element of antioppressive scholarship. Despite its importance, reflexivity, and particularly its documentation, remains relatively uncommon in school psychology scholarship. In the following commentary, we…
Descriptors: Reflection, Scholarship, School Psychology, Social Justice
Jewitt, Carey; Barker, Ned; Golmohammadi, Lili – International Journal of Social Research Methodology, 2023
This paper argues that methodological uncertainty, such as that experienced by the social research community through the COVID-19 pandemic (2020-2022) is, and has always been, a vital part of the research landscape. Whilst recognising the many damaging effects of the uncertainties of the pandemic on research and researchers, we home in on the…
Descriptors: Research Methodology, Social Science Research, Ambiguity (Context), COVID-19
Benjamin Rohr; John Levi Martin – Sociological Methods & Research, 2024
It is common for social scientists to use formal quantitative methods to compare ecological units such as towns, schools, or nations. In many cases, the size of these units in terms of the number of individuals subsumed in each differs substantially. When the variables in question are counts, there is generally some attempt to neutralize…
Descriptors: Social Science Research, Population Distribution, Ecology, Demography
Jose M. Pavía; Rafael Romero – Sociological Methods & Research, 2024
The estimation of RxC ecological inference contingency tables from aggregate data is one of the most salient and challenging problems in the field of quantitative social sciences, with major solutions proposed from both the ecological regression and the mathematical programming frameworks. In recent decades, there has been a drive to find…
Descriptors: Elections, Voting, Social Science Research, Programming
Alexander B. Pratt – Educational Theory, 2024
The recent shift in social science research toward philosophies of the more-than-human has pushed many scholars to question their understanding of units of analysis and agency. While many engage with agencies of the material, few have attempted to address what might be called the agency of ideas. Here, Alexander Pratt argues that engaging with the…
Descriptors: Philosophy, Qualitative Research, Social Science Research, Research Methodology
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
Minghui Yao; Yunjie Xu – Sociological Methods & Research, 2024
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"…
Descriptors: Statistical Bias, Social Science Research, Questionnaires, Test Bias
W. Holmes Finch – Educational and Psychological Measurement, 2024
Dominance analysis (DA) is a very useful tool for ordering independent variables in a regression model based on their relative importance in explaining variance in the dependent variable. This approach, which was originally described by Budescu, has recently been extended to use with structural equation models examining relationships among latent…
Descriptors: Models, Regression (Statistics), Structural Equation Models, Predictor Variables
Patricia Ward; Muath Abudalu – International Journal of Social Research Methodology, 2024
What explains why reductive explanations of social phenomena in the global South persist? This paper addresses this question by considering how researchers' assumptions of their positionality premised upon global North-South explanations of power shape "how" they collect and determine the scope of their data. Building upon standpoint…
Descriptors: Developing Nations, Social Science Research, Power Structure, Researchers

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