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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
Daoxuan Fu; Chunying Qin; Zhaosheng Luo; Yujun Li; Xiaofeng Yu; Ziyu Ye – Journal of Educational and Behavioral Statistics, 2025
One of the central components of cognitive diagnostic assessment is the Q-matrix, which is an essential loading indicator matrix and is typically constructed by subject matter experts. Nonetheless, to a large extent, the construction of Q-matrix remains a subjective process and might lead to misspecifications. Many researchers have recognized the…
Descriptors: Q Methodology, Matrices, Diagnostic Tests, Cognitive Measurement
Durose, Catherine; Perry, Beth; Richardson, Liz; Dean, Rikki – International Journal of Social Research Methodology, 2023
There has been encouragement from funders, universities and academics to co-produce research. Co-production of research can be considered a methodology in its own right, or an underpinning set of principles for other methods. Co-production aims to reshape relations between the researched and the researcher. Yet, co-producing research rarely starts…
Descriptors: Participatory Research, Q Methodology, Research Projects, Politics

Marcelo Andrade da Silva; A. Corinne Huggins-Manley; Jorge Luis Bazan; Amber Benedict – Grantee Submission, 2024
A Q-matrix is a binary matrix that defines the relationship between items and latent variables and is widely used in diagnostic classification models (DCMs), and can also be adopted in multidimensional item response theory (MIRT) models. The construction process of the Q-matrix is typically carried out by experts in the subject area of the items…
Descriptors: Q Methodology, Matrices, Item Response Theory, Educational Assessment
Marcelo Andrade da Silva; A. Corinne Huggins-Manley; Jorge Luis Bazán; Amber Benedict – Applied Measurement in Education, 2024
A Q-matrix is a binary matrix that defines the relationship between items and latent variables and is widely used in diagnostic classification models (DCMs), and can also be adopted in multidimensional item response theory (MIRT) models. The construction process of the Q-matrix is typically carried out by experts in the subject area of the items…
Descriptors: Q Methodology, Matrices, Item Response Theory, Educational Assessment
Supports and Constraints to Middle Leadership Development in Higher Education: A Q-Methodology Study
Youmen Chaaban; Saba Qadhi; Hessa Al-Thani; Alan Floyd; Xiangyun Du – Educational Management Administration & Leadership, 2025
Middle leadership development in a Higher Education context can be understood as a complex endeavor, influenced by interactions and interrelations within multiple systems. We explored the perspectives of thirty-five male and female middle leaders on the conditions influencing their leadership development at one university in Qatar. Q methodology…
Descriptors: Middle Management, Higher Education, Q Methodology, Trust (Psychology)
Kropác, Jirí; Buchtová, Tereza; Chudý, Štefan – Cogent Education, 2023
Discipline is closely linked to the teaching profession. The article focuses on factors affecting discipline in teaching while also specifying the terminology for the concept of discipline in new teachers and defining teacher expectations in achieving discipline in a methodological classification according to research conducted using the…
Descriptors: Beginning Teachers, Discipline, Punishment, Expectation
HeeSoon Lee; Mary-Jon Ludy; Sooyeon Lim; Eunyoung Koh – International Journal of Developmental Science, 2024
A successful transition into adulthood is marked by occupational identity. From the developmental perspective, it is vital to examine the occupational perceptions of college students who grew up in distinct social and psychological environments from previous generations. To bridge the research gap, this study is to examine college students'…
Descriptors: Undergraduate Students, Student Attitudes, Occupations, Q Methodology
Susan E. Ramlo – Sage Research Methods Cases, 2022
Q methodology (Q) offers a scientific way to study subjectivity, meaning people's viewpoints about a topic. The underlying assumption of Q is that when people share an experience, they do not necessarily form the same viewpoint about that experience. This is different from the use of Likert-scale surveys that report results using aggregate…
Descriptors: COVID-19, Pandemics, Higher Education, Q Methodology
Tia N. Turner; Zachary Piso – Journal of Higher Education Outreach and Engagement, 2024
Community-university partnerships are a critical vehicle for promoting sustainability, and the partnerships themselves can be sustained by ensuring that participants achieve mutual benefits in terms of their respective goals and missions. Although the literature emphasizes mutuality and reciprocity, fewer studies investigate community partners'…
Descriptors: Partnerships in Education, Sustainability, Motivation Techniques, Q Methodology
Gantt-Howrey, Alexandra; Kemer, Gülsah – Counselor Education and Supervision, 2023
Our Q method exploration of counselor educators' perspectives of minimally acceptable cognitive complexity (CC) in trainees at the end of internship yielded two factors: Trainee's Conceptual Integration Ability and Trainee's Ability to Apply Integrated Knowledge. Implications for teaching, supervision, and research pertinent to assessment of and…
Descriptors: Counselor Educators, Counselor Training, Q Methodology, Teacher Attitudes
Wang, Ling Ling; Jian, Sun Xiao; Liu, Yan Lou; Xin, Tao – Applied Measurement in Education, 2023
Cognitive diagnostic assessment based on Bayesian networks (BN) is developed in this paper to evaluate student understanding of the physical concept of buoyancy. we propose a three-order granular-hierarchy BN model which accounts for both fine-grained attributes and high-level proficiencies. Conditional independence in the BN structure is tested…
Descriptors: Bayesian Statistics, Networks, Cognitive Measurement, Diagnostic Tests
Fern Sakamoto – International Journal of Research & Method in Education, 2024
The flexibility of the Delphi Technique has enabled its application across a wide range of fields to facilitate problem solving, decision-making and consensus-building. However, flexibility brings with it a corresponding lack of detailed methodological guidelines, and the rigour of Delphi studies has been questioned. This paper presents a recent…
Descriptors: Delphi Technique, Q Methodology, Mixed Methods Research, Problem Solving
Aida Guerra; Juebei Chen; Xiangyun Du; Helle Nielsen; Lone Kørnøv – International Journal of Sustainability in Higher Education, 2024
Purpose: The integration of ESD is a complex problem. It calls for an innovative, student-centred curriculum, as well as professional learning and agency, by which university teachers feel empowered to change their practice and direct their peers and institutions towards ESD. This study aims to explore what university teachers consider to be the…
Descriptors: Sustainable Development, Problem Based Learning, College Faculty, Faculty Development
Youn Seon Lim – Applied Measurement in Education, 2024
Educational testing has been criticized for its disconnect from modern cognitive science and its limited role in improving instruction and student learning. Reform efforts emphasize the need for testing to provide specific diagnostic insights into students' skills and knowledge. Cognitive diagnosis (CD), an emerging paradigm in educational…
Descriptors: Q Methodology, Matrices, Models, Design