Monica K Erbacher

Summary

Affiliation: University of Virginia
Country: USA

Publications

  1. pmc Measuring positive and negative affect in older adults over 56 days: comparing trait level scoring methods using the partial credit model
    Monica K Erbacher
    University of Virginia, P O Box 400400, Charlottesville, VA 22904, USA
    J Appl Meas 13:146-64. 2012
  2. ncbi request reprint What You Don't Know Can Hurt You: Missing Data and Partial Credit Model Estimates
    Sarah L Thomas
    Sarah L Thomas, Department of Psychology, University of Virginia, 102 Gilmer Hall, P O Box 400400, Charlottesville, VA 22904, USA
    J Appl Meas 17:14-34. 2016

Collaborators

Detail Information

Publications2

  1. pmc Measuring positive and negative affect in older adults over 56 days: comparing trait level scoring methods using the partial credit model
    Monica K Erbacher
    University of Virginia, P O Box 400400, Charlottesville, VA 22904, USA
    J Appl Meas 13:146-64. 2012
    ..Results indicated problems with NA items, including poor category utilization, gaps in the item distribution, and a lack of easy-to-endorse items. PA items had much more desirable psychometric qualities...
  2. ncbi request reprint What You Don't Know Can Hurt You: Missing Data and Partial Credit Model Estimates
    Sarah L Thomas
    Sarah L Thomas, Department of Psychology, University of Virginia, 102 Gilmer Hall, P O Box 400400, Charlottesville, VA 22904, USA
    J Appl Meas 17:14-34. 2016
    ..In addition, standard errors of these estimates increased with the level of degradation. Thus, MCAR data does damage the quality and precision of PCM estimates. ..