Publication Date
| In 2026 | 0 |
| Since 2025 | 53 |
| Since 2022 (last 5 years) | 280 |
| Since 2017 (last 10 years) | 696 |
| Since 2007 (last 20 years) | 1658 |
Descriptor
Source
Author
Publication Type
Education Level
Audience
| Researchers | 621 |
| Practitioners | 429 |
| Teachers | 369 |
| Policymakers | 90 |
| Administrators | 65 |
| Students | 33 |
| Parents | 7 |
| Community | 6 |
| Counselors | 6 |
| Media Staff | 6 |
Location
| Canada | 130 |
| United Kingdom | 130 |
| United States | 113 |
| Australia | 105 |
| United Kingdom (England) | 52 |
| Germany | 48 |
| United Kingdom (Great Britain) | 46 |
| China | 41 |
| Japan | 40 |
| India | 38 |
| California | 37 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Hanzhong Sun; Xiao Luo; Hye K. Pae – Changing English: Studies in Culture and Education, 2025
The use of gender-inclusive language is crucial for promoting gender equality and inclusivity in scholarly communication. This study examined second language learners' use of epicene pronouns in social sciences and humanities research manuscripts and surveyed recommended practices in journal guidelines for epicene pronoun usage. The findings…
Descriptors: Language Usage, Form Classes (Languages), Research, Social Science Research
Caitlyn D. Placek; Eric Budzielek; Lillian White; Deanna Williams – American Journal of Evaluation, 2024
Free-listing is a quick, semi-quantitative methodology commonly used by anthropologists to uncover information within a cultural domain. In this method note, we review how anthropologists have used free-listing in a variety of research settings. We then apply the social-ecological framework to describe how free-listing can be used for formative,…
Descriptors: Program Evaluation, Educational Anthropology, Cognitive Measurement, Cultural Awareness
Sandra Wankmüller – Sociological Methods & Research, 2024
Transformer-based models for transfer learning have the potential to achieve high prediction accuracies on text-based supervised learning tasks with relatively few training data instances. These models are thus likely to benefit social scientists that seek to have as accurate as possible text-based measures, but only have limited resources for…
Descriptors: Social Science Research, Transfer of Training, Natural Language Processing, Artificial Intelligence
Sang-June Park; Youjae Yi – Journal of Educational and Behavioral Statistics, 2024
Previous research explicates ordinal and disordinal interactions through the concept of the "crossover point." This point is determined via simple regression models of a focal predictor at specific moderator values and signifies the intersection of these models. An interaction effect is labeled as disordinal (or ordinal) when the…
Descriptors: Interaction, Predictor Variables, Causal Models, Mathematical Models
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
Weijters, Bert; Davidov, Eldad; Baumgartner, Hans – Sociological Methods & Research, 2023
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…
Descriptors: Factor Analysis, Structural Equation Models, Regression (Statistics), Social Science Research
Krueger-Henney, Patricia; Kress, Tricia; Amorim, Simone – Cultural Studies of Science Education, 2023
In this article, the authors engage with Anzaldua's (Borderlands/La Frontera: The New Mestiza, Aunt Lute Books, 1987) notion of borderlands while approaching social science research as a process of (re)membering as explained by Cynthia Dillard (Learning to r(e)member the things we've learned to forget: Endarkened feminisms, spirituality, and the…
Descriptors: Social Science Research, Epistemology, Knowledge Management, Memory
Veri, Francesco – Sociological Methods & Research, 2023
This article aims to clarify fundamental aspects of the process of assigning fuzzy scores to conditions based on family resemblance (FR) structures by considering prototype and set theories. Prototype theory and set theory consider FR structures from two different angles. Specifically, set theory links the conceptualization of FR to the idea of…
Descriptors: Evaluation Methods, Theories, Concept Formation, Models
Barbrook-Johnson, Pete; Carrick, Jayne – International Journal of Social Research Methodology, 2022
Research methods with roots in complexity science are increasingly popular in social research. However, they are not widespread and have potential to deliver value more fully and consistently to social research and methodology. One reason for this is that methods are often used alone, or only with traditional social research methods. We attempt to…
Descriptors: Social Science Research, Research Methodology, Difficulty Level, Simulation
Michael Corbett, Editor – IAP - Information Age Publishing, Inc., 2025
Most education and social science research methodology texts offer detailed and often prescriptive advice to higher degree students generally following established paradigmatic frameworks for qualitative and/or qualitative research. Lived Experience and Educational Research Methodology: Reflections on the PhD Journey offers instead a set of…
Descriptors: Educational Research, Research Methodology, Graduate Students, Misconceptions
Sonika Jha; Anil Kumar Singh; Rajneesh Chauhan – Higher Education Quarterly, 2024
Research is about an individual's intellectual acumen and rationality, and inter-researcher collaboration capability magnifies the outcomes. Despite common belief, there exist fundamental asymmetries in the goals, orientations and expectations among the research collaborators. Seldom studied in-depth and empirically validated, the challenges and…
Descriptors: Social Science Research, Research Methodology, Researchers, Research Design
Megan LePere-Schloop; Rebecca Nesbit – Journal of Public Affairs Education, 2024
The multidisciplinary fields of public administration (PA), public policy sciences (PP), and nonprofit studies (Nonprofit) contribute in different ways to interdisciplinary knowledge integration in public affairs. At the field and topic level, we examine the variety and coherence of the disciplinary knowledge that each field draws upon when…
Descriptors: Interdisciplinary Approach, Public Administration, Public Policy, Nonprofit Organizations
Beng Kok Ong – International Journal of Social Research Methodology, 2024
This article examines how rigour is achieved in the Abductive Research Strategy (ARS). It begins with a review of some of the arguments about objectivity and rigour in social sciences, which shows that quantitative and qualitative researchers hold different meanings of objectivity and therefore different ways of achieving rigour in their research.…
Descriptors: Research Methodology, Social Science Research, Qualitative Research, Statistical Analysis
Seliem El-Sayed; Filip Paspalj – Research Ethics, 2024
Recital 33 GDPR has often been interpreted as referring to 'broad consent'. This version of informed consent was intended to allow data subjects to provide their consent for certain areas of research, or parts of research projects, conditional to the research being in line with 'recognised ethical standards'. In this article, we argue that broad…
Descriptors: Ethics, Social Science Research, Standards, Data Analysis
William R. Nugent – Measurement: Interdisciplinary Research and Perspectives, 2024
Symmetry considerations are important in science, and Group Theory is a theory of symmetry. Classical Measurement Theory is the most used measurement theory in the social and behavioral sciences. In this article, the author uses Matrix Lie (Lee) group theory to formulate a measurement model. Symmetry is defined and illustrated using symmetries of…
Descriptors: Item Response Theory, Measurement Techniques, Models, Simulation

Peer reviewed
Direct link
