Set of 10 large-scale education RCTs used to compare CACE variance formula significance findings¶

Element · All elements
Evidence · no claims cited

Description¶

The article's empirical base is a set of "10 large-scale RCTs" in the education field, used to compare significance findings for the CACE estimator under correct variance formulas versus commonly used formulas that ignore certain sources of error. The comparison across these trials constitutes the article's empirical evidence about whether simplified variance formulas distort significance conclusions.

Design Implications¶

Context¶

Requirements¶

• Large-scale clustered education RCTs with treatment noncompliance allowing CACE estimation

Constraints¶

• Evidence limited to the 10 RCTs analyzed in the article

Target Learners¶

• Students in large-scale education RCTs

Target Learning Goals¶

• Assessing robustness of CACE significance findings to variance formula choice

Claims¶

Related Elements¶

• Ten-RCT empirical comparison of CACE variance formulas

Examples¶

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Key Sources¶

• Peter Z. Schochet, Hanley S. Chiang. (2011). Estimation and Identification of the Complier Average Causal Effect Parameter in Education RCTs. Journal of Educational and Behavioral Statistics, vol. 36, no. 3. https://eric.ed.gov/?q=Estimation and Identification of the Complier Average Causal Effect Parameter in Education RCTs