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Black, Paul; Wilson, Mark; Yao, Shih-Ying – Measurement: Interdisciplinary Research and Perspectives, 2011
In this rejoinder, the authors provide their thoughts on each of the commentaries of the seven respondents to their article. They find that the response of Kyngdon differs markedly from the others in questioning some basic elements of the methods of analysis that they propose for the construction of a "road map." The authors emphasize that they…
Descriptors: Teaching Methods, Data Analysis, Measurement Techniques, Educational Improvement
Wilson, Mark – Journal of Research in Science Teaching, 2009
This article describes some of the underlying conceptualizations that have gone into the work of the BEAR Center in the development of learning progressions. The core of all of these developments has been the construct map, which is the first building block in the BEAR Assessment System (BAS). After introducing the concept of a learning…
Descriptors: Science Instruction, Middle Schools, Secondary School Science, Learning Processes
Introducing Multidimensional Item Response Modeling in Health Behavior and Health Education Research
Allen, Diane D.; Wilson, Mark – Health Education Research, 2006
When measuring participant-reported attitudes and outcomes in the behavioral sciences, there are many instances when the common measurement assumption of unidimensionality does not hold. In these cases, the application of a multidimensional measurement model is both technically appropriate and potentially advantageous in substance. In this paper,…
Descriptors: Health Education, Health Behavior, Behavior Modification, Behavior Change

Wilson, Mark – Australian Journal of Education, 1989
Structure of the Observed Learning Outcome (SOLO) science superitems were examined from the perspectives of Guttman Scaling (deterministic) and Item Response Theory (probabilistic). Differences between the measurement bases for the two approaches, and the results for a small case study, are reported. (Author/MLW)
Descriptors: Cognitive Processes, Comparative Analysis, Data Analysis, Higher Education