Rasch Analysis in the Human Sciences - Boone, William J.
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Présentation Rasch Analysis In The Human Sciences Format Broché
- Livre Science humaines et sociales, Lettres
Résumé :
Rasch Analysis in the Human Sciences helps individuals, both students and researchers, master the key concepts and resources needed to use Rasch techniques for analyzing data from assessments to measure variables such as abilities, attitudes, and personality traits. Upon completion of the text, readers will be able to confidently evaluate the strengths and weakness of existing instrumentation, compute linear person measures and item measures, interpret Wright Maps, utilize Rasch software, and understand what it means to measure in the Human Sciences. Each of the 24 chapters presents a key concept using a mix of theory and application of user-friendly Rasch software. Chapters also include a beginning and ending dialogue between two typical researchers learning Rasch, Formative Assessment Check Points, sample data files, an extensive set of application activities with answers, a one paragraph sample research article text integrating the chapter topic, quick-tips,and suggested readings. Rasch Analysis in the Human Sciences will be an essential resource for anyone wishing to begin, or expand, their learning of Rasch measurement techniques, be it in the Health Sciences, Market Research, Education, or Psychology.?
Sommaire: What is Rasch Measurement & How Can Rasch Measurement Help Me?.- Rating Scale Surveys, A Rasch Rating Scale Analysis (Step I)-Reading Data and Running an Analysis.- Understanding Person Measures.- Item Measures.- Wright Maps - First Steps.- Wright Maps - Second Steps Fit.- How Well Does That Rating Scale Work? How Do You Know, Too?.- Person Reliability, Item Reliability and More.- What is an Ogive? How do I Use It?.- Some Wright Map Nuance, How To Set the Probability of Success at 65% (or whichever percentage you wish to choose).- Differential Item Functioning.- Linking Surveys and Tests.- Setting Pass/Fail Points and Competency Levels.- Expressing Competency Levels.- Quality of Measurement and Sample Size.- Missing Data:? What should I do?.- Combining Scales.- Multifaceted Rasch Measurement.- The Rasch Model and Item Response Theory Models:? Identical, Similar, or Unique?.- What Tables to Use?.- Key Resources for Continued Expansion of Your Understanding of Rasch Measurement.- Where Have We Been & What's Next?.
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