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Applying the Rasch Model: Fundamental Measurement in the Human Sciences

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TLDR
This volume contends that Rasch measurement is the model of choice because it is the closest to realizing the sort of objective fundamental measurement so long revered in the physical sciences.
Abstract
For many researchers, the Rasch model provides a very practical solution to data analysis in the social sciences. This volume contends that Rasch measurement is the model of choice because it is the closest to realizing the sort of objective fundamental measurement so long revered in the physical sciences. Trevor Bond has worked with leading Rasch theoreticians for more than 15 years, advising developmentalists and teachers on how to conduct and interpret Rasch analyses of their own data. After each of his many research presentations, Dr. Bond was asked to recommend a suitable text for those who wish to learn more about Rasch analysis. Unfortunately, the books published to date require a significant knowledge of statistics and not easily accessible to many practicing researchers. This lack of a suitable introductory text is the driving force behind this book. The goals of this authored volume are: * to present an accessible overview of the basic properties and principles of Rasch analysis, that does not require a sophisticated statistical background, * to demonstrate how Rasch analysis can be applied to a number of generic problems encountered by psychologists and educators, and * to prepare readers for performing their own analyses and interpreting the results. This book is ideal for all researchers in the human sciences interested in learning how to actually implement the Rasch model with their own data.

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Interpretation of patient-reported outcomes

TL;DR: Two broad approaches – anchor-based and distributed-based – aimed at enhancing the understanding and meaning of patient-reported outcome scores are provided and real-life implications of the different methodologies are added in one integrated report.
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Measurement properties of fine motor scale of Peabody developmental motor scales-second edition: a Rasch analysis.

TL;DR: The results suggest grounds for the revision of the Peabody Developmental Motor Scales-Second Edition in a subsequent edition by simplifying the rating scales and reducing the misfitting items in the subtests and composite scales might result in a unidimensional assessment of children’s fine motor ability.
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McMonnies questionnaire: enhancing screening for dry eye syndromes with Rasch analysis

TL;DR: In this population of Sjögren syndrome patients, the McMonnies questionnaire does not function as a measure, however, various scoring methods can be used to efficiently screen for DES.
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A Rasch and confirmatory factor analysis of the General Health Questionnaire (GHQ) - 12

TL;DR: The results are consistent with the evidence that the GHQ-12 is a multi-dimensional instrument, and use of the summated scores for the GHZ-12 could potentially lead to an incorrect assessment of patients' psychiatric morbidity.
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Effects of opportunities to learn in teacher preparation on future teachers’ general pedagogical knowledge: Analyzing program characteristics and outcomes

TL;DR: In this paper, the authors examined the effects of opportunities to learn in teacher preparation on future teachers' general pedagogical knowledge using hierarchical linear modeling and found that measures of learning opportunities related to pedagogy content and teaching practice influence the gain in knowledge.
References
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Journal ArticleDOI

The distribution of piagetian stages of thinking in british middle and secondary school children

TL;DR: In this paper, the authors measured the proportion of children showing early and late concrete operational thinking and formal operational thinking in a sample of 10,000 children between the ages of 9 and 14.
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A Rasch Analysis of a Measure of Computer Anxiety

TL;DR: In this article, the dimensionality of the computer-anxiety index (CAIN) by Rasch analysis of the responses of 372 eleven-to twelve-year-old elementary school students was tested.