This is a session of Topic 8: Research in statistics education

Other sessions under topic 8 ... 8A: Research on developing students’ statistical reasoning in primary and middle school 8B: Research on developing students’ statistical reasoning at secondary and tertiary levels 8C: Making sense of risk 8D: Research on technology in statistics education 8E: Theoretical frameworks in statistics education research 8G: New researchers’ mentoring forum: panel and discussion 8H: How to publish research in statistics education journals (panel) 8I: Research into learning statistics in vocational educational and training 8J: Evidence-based statistical practice

(Tuesday 13th, 11:00-12:30)

Research methodologies in statistics education

Organizer

• Tjaart Imbos (Netherlands)

Abstract

This session will address methodological problems and their solutions. The papers in this session are related to one of the topics below:

• Paradigms and research programs in Statistics Education Research The main question here is whether general guiding principals or models can be discerned in statistics education research between the first and eighth ICOTS. A goal of this topic might be to describe diverse communities that comprise the activities and universe of research in statistics education.
• Philosophy of Statistics Education Research What is the meaning of the basic concepts in the field of statistics education? The main focus is: analysis of the meaning of key concepts such as teaching, learning, knowledge and knowledge construction and understanding.
• Measurement of teaching and learning in Statistics Education Research Authors are stimulated to analyze current measurement practice and to propose more sensitive and sensible measurement models. What are the recent psychometric advances and which lessons can be learned from it? Contributions to the measurement, the reliability and interpretation of verbal processing data are most welcome.
• Quantitative methods in Statistics Education Research The basic assumption of innovative teaching and learning in the domain of statistics education is the comparison of at least two treatments: the old method with some innovative new one. Papers considering the design, interpretation and analysis of teaching and learning treatments are most welcome.
• Qualitative methods in Statistics Education Research Contributions which can be characterized as ethnographic, qualitative, participant observational, case study, symbolic interactionist, phenomenological, constructivist or interpretive are welcome. Although relatively new in the field, they nevertheless need attention as attempts to enhance measurement methods for concepts that are difficult to measure.

Papers

Paper	Title	Presenter(s) / Author(s)
8F1	Multilevel modeling of educational interventions: educational theory and statistical consequences	Finbarr Sloane (United States)
8F2	Randomized controlled trials and PhD level training in educational research	Robert Boruch (United States) Erling Boe (United States)
8F3	Qualitative methods in statistics education research: methodological problems and possible solutions	Sashi Sharma (New Zealand)

Other sessions under topic 8 ... 8A: Research on developing students’ statistical reasoning in primary and middle school 8B: Research on developing students’ statistical reasoning at secondary and tertiary levels 8C: Making sense of risk 8D: Research on technology in statistics education 8E: Theoretical frameworks in statistics education research 8G: New researchers’ mentoring forum: panel and discussion 8H: How to publish research in statistics education journals (panel) 8I: Research into learning statistics in vocational educational and training 8J: Evidence-based statistical practice