Invariant Measurement: Using Rasch Models in the Social, Behavioral, and Health Sciences

By George Engelhard, Jr.. 2012

346 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/688512e9c0a57d816b6eda9b21b6fda5c10624ff

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

1. Shanna N. Ricketts
2. Mei-Lin Chang
3. G. Engelhard
4. C. Cafiero
5. Sara Viviani
6. M. Nord

In Statistics and Probability

1. Shanna N. Ricketts
2. Mei-Lin Chang
3. G. Engelhard
4. C. Cafiero
5. Sara Viviani
6. M. Nord

Citations in the corpus

• Food security measurement in a global context: The Food Insecurity Experience Scale (2018, methodology): “While more flexible IRT parameterizations, such as the 2 or 3-parameter logistic models used in the field of educational testing might increase the fit of the data to the model, in choosing the Rasch model as the basis for a globally valid food insecurity measurement scale we have been guided by the”
• Development and Validation of a Scale to Measure Academic Resilience in Mathematics (2017, methodology): “2 as representing acceptable model-data fit (Engelhard, 2013).”