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While FFT was selected as the primary rubric to approximate general district implementation, alternate observation tools demonstrated comparable predictive validity when adjusted for baseline student characteristics. However, specialized subject tools (such as MQI in math and PLATO in ELA) captured distinct domain-specific instructional practices.
FFT classroom observation scores used as a standalone predictor yielded an IV coefficient of 0.807 (p < 0.01, SE = 0.293); while causally valid and not statistically different from 1, standalone observations exhibited roughly double the estimation error of test-based value-added measures (SE = 0.149).
The multi-measure composite predicted actual student achievement gains following random assignment with an IV slope coefficient of 0.955 (p < 0.01, SE = 0.123), demonstrating that composite ratings accurately match causal student achievement impacts.