MEASUREMENT RESEARCH ASSOCIATES TEST INSIGHTSFebruary 2010
 Greetings,   Examiner consistency within his/her own rating pattern in an oral examination should be monitored.  This brief study explores whether an examiner's internal consistency is related to his/her severity.  Lidia MartinezManager, Test Development and Analysis
The Relationship between Examiner Severity and Consistency
Examiner severity is the convenient term for the tendency of an examiner to give lower ratings or higher ratings. This tendency towards severity or leniency is due to examiner expectations, characteristics, and standards. A severity measure for each examiner in the many-facet Rasch analysis is calculated using all of the ratings the examiner gave during the course of the examination.

Examiner consistency is measured by a mean-square fit statistic. This statistic is based on the ratio of observed error variance to expected error variance.  It's expected value is 1 (i.e., a ratio of 1:1). The mean square fit statistic for an examiner indicates his/her consistency or how well his/her pattern of ratings meet expectations given examiner severity and candidate ability (i.e., fit to the model). Neither too high nor too low fit statistics are desirable.

When the examiner's fit statistic is less than .5, it indicates over 50% less variance in his/her ratings than is expected. It is likely that the examiner tended to give many candidates the same rating, regardless of their ability. This type of examiner is not only too predictable, but he/she is not distinguishing differences among candidates. When the fit statistic is greater than 1.5, it indicates over 50% more variance in his/her ratings than is expected. It is likely that the examiner gave candidates unexpectedly high or low ratings compared to their overall ability.

The question is whether there is a correlation between measured examiner severity and examiner consistency (outfit mean square fit statistic). To study this question, random performance examinations were selected and the Pearson correlation between severity and consistency for the examiners was calculated.

The table below shows that there are low, non-significant correlations between examiner severity and consistency.  The table also shows that the vast majority of the examiners meet the criteria for consistency.  The low correlations between severity and consistency show that 1) most examiners are internally consistent in their rating of candidates; 2) that examiners, regardless of their measured severity, tend to be consistent in their rating of candidates; and 3) that severity does not predict consistency or vice-versa.  The low numbers of inconsistent examiners reflects good examiner training and an understanding of the rating process.

 Exam N of Examiners Correlation between Severity and Consistency Significance(ns = not significant) Number  (%) of inconsistent examiners Exam 1 44 .05 ns 0 Exam 2 24 -.14 ns 0 Exam 3 72 .00 ns 4 (5%) Exam 4 146 -.09 ns 4 (3%) Exam 5 81 -.06 ns 2 (2%)

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Coming Rasch-related Events
Feb 26 - June, 2018Online Advanced course in Rasch Measurement Theory (D.Andrich), University of Western Australia, Perth, Australia, http://www.education.uwa.edu.au/ppl/courses
March 23, 2018, Fri.12th Annual UK Rasch User Group Meeting, Loughborough University, Loughborough, England, www.rasch.org.uk
April 10-12, 2018, Tues.-Thurs. Rasch Conference: IOMW, New York, NY, www.iomw.org
April 13-17, 2018, Fri.-Tues. AERA, New York, NY, www.aera.net
May 22 - 24, 2018, Tues.-Thur. EALTA 2018 pre-conference workshop (Introduction to Rasch measurement using WINSTEPS and FACETS, Thomas Eckes & Frank Weiss-Motz), https://ealta2018.testdaf.de
May 25 - June 22, 2018, Fri.-Fri. On-line workshop: Practical Rasch Measurement - Core Topics (E. Smith, Winsteps), www.statistics.com
June 27 - 29, 2018, Wed.-Fri. Measurement at the Crossroads: History, philosophy and sociology of measurement, Paris, France., https://measurement2018.sciencesconf.org
June 29 - July 27, 2018, Fri.-Fri. On-line workshop: Practical Rasch Measurement - Further Topics (E. Smith, Winsteps), www.statistics.com
July 25 - July 27, 2018, Wed.-Fri. Pacific-Rim Objective Measurement Symposium (PROMS), (Preconference workshops July 23-24, 2018) Fudan University, Shanghai, China "Applying Rasch Measurement in Language Assessment and across the Human Sciences", www.promsociety.org
July 29 - August 4, 2018 Vth International Summer School `Applied Psychometrics in Psychology and Education`, Institute of Education at the Higher School of Economics, St. Petersburg, Russia, https://ioe.hse.ru/en/announcements/215681182.html
Aug. 10 - Sept. 7, 2018, Fri.-Fri. On-line workshop: Many-Facet Rasch Measurement (E. Smith, Facets), www.statistics.com
Sept. 3 - 6, 2018, Mon.-Thurs. IMEKO World Congress, Belfast, Northern Ireland, www.imeko2018.org
Oct. 12 - Nov. 9, 2018, Fri.-Fri. On-line workshop: Practical Rasch Measurement - Core Topics (E. Smith, Winsteps), www.statistics.com