@article{697127,
      author = {Boone, William J. and Staver, John R., and Yale, Melissa  S.,},
      url = {http://library.usi.edu/record/697127},
      title = {Rasch analysis in the human sciences [electronic resource]   /},
      abstract = {Rasch Analysis in the Human Sciences helps individuals,  both students and teachers, 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 weaknesses 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 Cognitive Sciences. Rasch Analysis in the Human Sciences  represents a much needed, practical, and approachable guide  to the use of Rasch methods and models within the field of  education in general and in STEM fields most particularly.  With a future ever more guided by data-driven  decision-making, it is essential that our educators become  more familiar with fundamental measurement concepts.},
      doi = {https://doi.org/10.1007/978-94-007-6857-4},
      recid = {697127},
      pages = {1 online resource (xvi, 482 pages) :},
}