Description: Texas Education Agency (TEA) undertook a major pilot of a new educator evaluation system, the Texas Teacher Evaluation and Support System (T-TESS). TEA identified the need and opportunity for analytics to better understand and improve the system on the basis of this pilot prior to the continued and rapid roll-out of T-TESS, which is scheduled for the 2015/16 school year. During the pilot year, T-TESS will include two components: (1) an observation rubric consisting of 16 items (“dimensions”) categorized into 4 domains of teaching and (2) a student growth measure (value-added).
REL Southwest researchers will statistically examine the relationships among the components and explore different approaches to combining component scores to create actionable composite or summative scores. This is a key avenue toward increasing the use of valid and reliable multiple-measure educator evaluation systems and toward improving their applicability for professional development and personnel decisions.
Do T-TESS component and item scores differentiate teacher performance?
Does the T-TESS summative score differentiate teacher performance?
Are T-TESS component scores associated with characteristics of students or school-level variables?
Is T-TESS internally consistent? Are there positive correlations between T-TESS elements?
Can T-TESS be made more efficient by combining items that measure the same concept and/or removing items yielding duplicate or irrelevant information?
What methods for calculating composite scores can be proposed based on the statistical properties of T-TESS components?
Study Design: Data, which will be provided by TEA and associated vendors, include: 1) scores on the T-TESS observational rubric, 2) value-added scores, and 3) school and class level administrative and human capital data
Analysis will include score distributions, descriptive statistics, and parameter estimates to address research questions 1 and 2; correlational analysis to address research questions 3 and 4; exploratory factor analysis to address research question 5; and principal component analysis to address research question 6.
Projected Release Data: Fall 2016
Research Alliance: Educator Effectiveness Research Alliance
Study Related Products: Stated Briefly report, What's Happening report