This article explores the complex relationship between researcher and respondent through shared experience and interaction in the interview processes. Ethical considerations related to the balance of power and potential for change in respondents' professional actions and decisions post-interview are discussed whilst problematizing the concept of…

We present a qualitative data analysis framework that integrates perspectives from theme analysis, cultural models analysis, grounded theory, and content analysis. We demonstrate how these research traditions are united in their aim to, first, uncover meaningful themes and, subsequently, to understand those themes' relationships to each other. To…

Recent work on measuring growth with categorical outcome variables has combined the item response theory (IRT) measurement model with the latent growth curve model and extended the assessment of growth to multidimensional IRT models and higher order IRT models. However, there is a lack of synthetic studies that clearly evaluate the strength and…

This paper discusses the challenges and lessons learned from conducting observations to measure the quality of classroom practice for a large-scale study of elementary teachers' mathematics instruction. Specifically, this paper shares our process for obtaining valid data for quality of elementary mathematics instruction; what we learned can inform…

This paper presents a case study on the adoption and the impact of new modules in a learning analytics dashboard supporting the dialogue between student advisors and students when advising on a study plan for the next academic semester in Escuela Superior Politecnica del Litoral, a higher education institute in Ecuador. The impact and the adoption…

This study considers patterns of participation according to gender in post-mass higher education from the perspective of higher education expansion in Taiwan. Becker's "D" coefficient ("D") is used to detect the patterns of gender parity in a 'critical mass' field in higher education. The study compared participation in STEM…

This article examines the social utility of the concept, 'data literacy'. Recent developments in the processes of datafication challenge long-held assumptions about privacy and the role of both state and commerce in individual lives. Typically, these have been addressed through: "regulatory" legal constraints underwritten by the nation…

Difficulties with social communication may present challenges in gathering data from individuals with autism in research. To encourage individuals with autism to participate directly in research, methods that allow for autistic symptomology should be considered. An online forum was developed to enable adolescents with autism to share their social…

The constantly growing offering of online learning materials to students is making it more difficult to locate specific information from data pools. Personalization systems attempt to reduce this complexity through adaptive e-learning and recommendation systems. The latter are, generally, based on machine learning techniques and algorithms and…

This article replies to the responses to my article on "Sex and the Census: Why surveys should not conflate sex and gender identity". Fugard conflates sex itself with the characteristics associated with sex, such as finger length ratios, leading to the erroneous implication that binary sex is not a useful explanatory variable. Hines…

Counting the Cost of Difference' replies to Alice Sullivan's piece on gender auditing in the UK Census. While Sullivan argues that the proposed changes to audit gender identity will dilute the meaning of 'sex' and thus the needs of women, I suggest that auditing on self-declared gender in Census 2021 signals a move towards the further recognition…

Hypothesis generation is an important but difficult process for students. This study investigated the effects of providing students with support for hypothesis generation, with regard to the testability and complexity of the generated hypotheses, the quality of the subsequent inquiry learning processes and knowledge acquisition. Fifty-two…

The present study examines the difficulties novice data modelers face when asked to provide a data model addressing a given problem. In order to map these difficulties and their causes, two short data modeling problems were given to 82 students who had completed an introductory course in database modeling. Both problems involve three entity sets…

Longitudinal studies are commonly used in the social and behavioral sciences to answer a wide variety of research questions. Longitudinal researchers often collect data anonymously from participants when studying sensitive topics to ensure that accurate information is provided. One difficulty gathering longitudinal anonymous data is that of…

Knowledge of probability is perceived as valuable in the 21st century. This knowledge enables people to understand and make informed decisions relating to uncertain events that occur in real life. Hence, many educational authorities have considered the inclusion of the teaching of probability important in their school curricula. This study…