Rasch Analysis in the Human Sciences
By W. Boone, John R. Staver, M. Yale. 2013
1,160 citations recorded by the source corpus.
Subfields: Experimental and Cognitive Psychology, Management Science and Operations Research, Public Health, Environmental and Occupational Health
View Paper: https://www.semanticscholar.org/paper/9ae4e43a872ff6471e4ae1ae8c1f4cc2f1963eda
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Experimental and Cognitive Psychology
- N. Bautista
- Amity L. Noltemeyer
- Hiroki Sayama
- Vahid Aryadoust
- Li Ying Ng
- Lena von Kotzebue
- Sonja Werner
- Christian Förtsch
In Management Science and Operations Research
- N. Bautista
- Amity L. Noltemeyer
- Hiroki Sayama
- Vahid Aryadoust
- Li Ying Ng
- Lena von Kotzebue
- Sonja Werner
- Christian Förtsch
In Public Health, Environmental and Occupational Health
Citations in the corpus
- A comprehensive review of Rasch measurement in language assessment: Recommendations and guidelines for research (2020, methodology): “In addition, when data lend themselves to a Wright Map, journals should require the inclusion of a Wright Map in which the ordering and spacing of items is compared to theory as a way of investigating construct validity (see Boone et al., 2014, pp. 111–158).”
- Exploring the Impact of TeachME™ Lab Virtual Classroom Teaching Simulation on Early Childhood Education Majors’ Self-Efficacy Beliefs (2015, methodology): “Two recent books, using the context of the field of Science Education, detailing the reasons why Rasch must be used are Rasch Analysis in the Human Sciences (Boone et al., 2014) and Rasch Measurement in Science Education (Liu & Boone, 2006).”
- Rasch analysis: A primer for school psychology researchers and practitioners (2017, methodology): “The control file, which helps the program understand the form of the data, has three parts (Boone et al., 2014): (1) The code that tells Winsteps how to read the data and perform the analyses, (2) the names for each survey item, and (3) the data.”
- Effects of biology teachers’ professional knowledge and cognitive activation on students’ achievement (2016, methodology): “For interpreting person abilities, the corresponding item difficulties have to be considered (Boone et al., 2014).”
- Rasch Analysis for Instrument Development: Why, When, and How? (2016, methodology): “One technique is to evaluate of the “fit” of items to the Rasch model (Boone et al., 2014).”