Author's response to reviews Title: Rasch Fit Statistics and Sample Size Considerations for Polytomous Data Authors:

Rasch fit statistics and sample size considerations for polytomous data

BACKGROUND Previous research on educational data has demonstrated that Rasch fit statistics (mean squares and t-statistics) are highly susceptible to sample size variation for dichotomously scored rating data, although little is known about this relationship for polytomous data. These statistics help inform researchers about how well items fit to a unidimensional latent trait, and are an import...

Author's response to reviews Title: A Rasch analysis of the Manchester Foot Pain and Disability Index Authors:

The Mixture Distribution Polytomous Rasch Model Used to Account for Response Styles on Rating Scales: a Simulation Study of Parameter Recovery and Classification Accuracy

Title of Document: THE MIXTURE DISTRIBUTION POLYTOMOUS RASCH MODEL USED TO ACCOUNT FOR RESPONSE STYLES ON RATING SCALES: A SIMULATION STUDY OF PARAMETER RECOVERY AND CLASSIFICATION ACCURACY Youngmi Cho, Doctor of Philosophy, 2013 Directed By: Professor Jeffrey R. Harring Professor George B. Macready Department of Human Development and Quantitative Methodology Response styles presented in rating...

Author's response to reviews Title: Clinical value of SPECT/CT for evaluation of patients with painful knees after total knee arthroplasty- a new dimension of diagnostics? Authors:

Author's response to reviews Title: Multivariate Permutation Test to Compare Survival Curves for Matched Data Authors: