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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 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
Meehan, Katie; Ginart, Lourdes; Ormerod, Kerri Jean – Field Methods, 2022
This article presents design principles and practical steps for web-based Q methodology surveys. Drawing on the experience of two online Q studies, we discuss theoretical concerns, sort and survey design, software programs, and issues in researcher-participant engagement. We argue that opening Q methodology to online modes of data collection is…
Descriptors: Q Methodology, Online Surveys, Research Design, Computer Software
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
Ramlo, Susan E. – Advances in Health Sciences Education, 2023
Q methodology is a unique, yet underutilized methodology designed specifically to scientifically study subjectivity. Q, as it is most often referred to, is an appropriate methodology whenever a researcher is interested in uncovering and describing the multiple divergent viewpoints on any topic. Such discovery of viewpoints provides insight into…
Descriptors: Q Methodology, Health Sciences, Allied Health Occupations Education, Bias
Lloyd P. Rieber – International Journal of Designs for Learning, 2023
Q pedagogy is a teaching approach that values the subjective viewpoints of students and incorporates them into the design of instruction. Q pedagogy is an instructional adaption of Q methodology, a research methodology first developed in the 1930s by Dr. William Stephenson to study people's subjectivity. Q methodology uses a special data…
Descriptors: Teaching Methods, Instructional Design, Student Centered Learning, Q Methodology
Harris, Kevin; Oatley, Chad; Mumford, Steven; Pham, Phung K.; Nunns, Heather – American Journal of Evaluation, 2021
This method note presents Q methodology as a useful tool for evaluators to add to their practice toolbox. Q methodology, which involves both quantitative and qualitative techniques, can help researchers and evaluators systematically understand subjectivity and the communicability of opinions and perspectives. We first provide an overview of Q…
Descriptors: Q Methodology, Program Evaluation, Foreign Countries, Stakeholders
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
Kulinskaya, Elena; Hoaglin, David C. – Research Synthesis Methods, 2023
For estimation of heterogeneity variance T[superscript 2] in meta-analysis of log-odds-ratio, we derive new mean- and median-unbiased point estimators and new interval estimators based on a generalized Q statistic, Q[subscript F], in which the weights depend on only the studies' effective sample sizes. We compare them with familiar estimators…
Descriptors: Q Methodology, Statistical Analysis, Meta Analysis, Intervals
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