ERIC Number: EJ1157251
Record Type: Journal
Publication Date: 2017
Pages: 9
Abstractor: As Provided
ISBN: N/A
ISSN: EISSN-1931-6569
EISSN: N/A
Administrators Gaming Test- and Observation-Based Teacher Evaluation Methods: To Conform To or Confront the System
Geiger, Tray J.; Amrein-Beardsley, Audrey
AASA Journal of Scholarship & Practice, v14 n3 p45-53 Fall 2017
In this commentary, we discuss three types of data manipulations that can occur within teacher evaluation methods: artificial inflation, artificial deflation, and artificial conflation. These types of manipulation are more popularly known in the education profession as instances of Campbell's Law (1976), which states that the higher the consequences or stakes surrounding almost any quantifiable event (e.g., one that is based on numerical scores or outcomes), the more likely the scores or outcomes are subject to pressures of corruption and distortion, as directly related to the relative importance or weight of the consequences attached. We examine each type of data manipulation and consider the greater impact of each on practice and policy.
Descriptors: Teacher Evaluation, Evaluation Methods, Data Analysis, Personnel Policy, Administrative Principles, Administrator Guides, Administrative Policy, Test Bias, Test Validity, Reliability, Observation
AASA, The School Superintendent's Association. 1615 Duke Street, Alexandria, VA 22314. Tel: 703-528-0700; Fax: 703-841-1543; e-mail: info@aasa.org; Web site: http://www.aasa.org
Publication Type: Journal Articles; Reports - Evaluative
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A