Handbook of Item Response Theory Modeling : Applications to Typical Performance Assessment
By S. Reise, Dennis A. Revicki. 2014
263 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Management Science and Operations Research, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/660595c0040314ba9d14b33b2735804136b5931f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
In Management Science and Operations Research
- John Antonakis
- Mikko Rönkkö
- J. Edwards
- Ji Seung Yang
- C. Mcintosh
- Allan Wigfield
- Katherine Muenks
- Marko Sarstedt
In Statistics and Probability
- Mikko Rönkkö
- John Antonakis
- J. Edwards
- Ji Seung Yang
- C. Mcintosh
- Allan Wigfield
- Katherine Muenks
- W. Stam
Citations in the corpus
- Grit and conscientiousness: Another jangle fallacy (2020, background): “…were: 1) a simple structure model where CI, PE, and conscientiousness items make up separate but correlated factors (Model 1), 2) a bi-factor model (Reise & Revicki, 2014) of grit where CI and PE items make up an overall grit factor that is correlated with a unidimensional conscientiousness factor…”
- A note on improving EAP trait estimation in oblique factor - analytic and item response theory models (2016, unknown): “Provided that the standard error of measurement (PSD in this case) remains relatively uniform across trait levels it is representative of the overall precision of the scores as measures of the corresponding dimension (Brown & Croudace, 2015).”
- Partial least squares path modeling: Time for some serious second thoughts (2016, background): “Although not linear composites, different models based on item response theory produce scale scores that take into account both respondent ability and item difficulty (Reise and Revicki, 2014).”