Journal of Applied Measurement
Volume 9, Number 3. Fall 2008
Formalizing Dimension and Response Violations of Local Independence in the Unidimensional Rasch Model. Ida Marais and David Andrich, 200-215.
Calibration of Multiple-Choice Questionnaires to Assess Quantitative Indicators. Paola Annoni and Pieralda Ferrari, 216-228.
The Impact of Data Collection Design, Linking Method, and Sample Size on Vertical Scaling Using the Rasch Model. Insu Paek, Michael J. Young, and Qing Yi, 229-248
Understanding the Unit in the Rasch Model. Stephen M. Humphry and David Andrich, 249-264
Factor Structure of the Developmental Behavior Checklist using Confirmatory Factor Analysis of Polytomous Items. Daniel E. Bontempo, Scott. M. Hofer, Andrew Mackinnon, Andrea M. Piccinin, Kylie Gray, Bruce Tonge, and Stewart Einfeld, 265-280
Overcoming Vertical Equating Complications in the Calibration of an Integer Ability Scale for Measuring Outcomes of a Teaching Experiment. Andreas Koukkoufis and Julian Williams, 281-304.
Understanding Rasch Measurement: Estimation of Decision Consistency Indices for Complex Assessments: Model Based Approaches. Matthew Stearns and Richard M. Smith, 305-315
Richard M. Smith, Editor
JAM web site: www.jampress.org
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Perils of Ratings
Numeric ratings are one of the most abused components of any measurement and assessment system. They make people angry, destroy fragile working relationships, make one employee judge another, and create an artificial, thoroughly uncomfortable situation for both the rater and the person whose work is being rated.
The wonder to me, the way most numeric rating systems are designed, is why you would expect anything different from their use. If an organization takes unsubstantiated, undocumented, uncommunicated, secret numbers and springs a numeric rating on employees periodically, expect the worst.
Susan M. Heathfield, About.com
Journal of Applied Measurement JAM 9:3 Rasch Measurement Transactions, 2008, 22:1 p. various
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