The validity of causal claims with repeated measures designs: A within-study comparison evaluation of differences-in-differences and the comparative interrupted time series.

MLA

Anglin, Kylie L., et al. “The Validity of Causal Claims with Repeated Measures Designs: A within-Study Comparison Evaluation of Differences-in-Differences and the Comparative Interrupted Time Series.” Evaluation Review, vol. 47, no. 5, Oct. 2023, pp. 895–931. EBSCOhost, https://doi.org/10.1177/0193841X231167672.

APA

Anglin, K. L., Wong, V. C., Wing, C., Miller-Bains, K., & McConeghy, K. (2023). The validity of causal claims with repeated measures designs: A within-study comparison evaluation of differences-in-differences and the comparative interrupted time series. Evaluation Review, 47(5), 895–931. https://doi.org/10.1177/0193841X231167672

Chicago

Anglin, Kylie L, Vivian C Wong, Coady Wing, Kate Miller-Bains, and Kevin McConeghy. 2023. “The Validity of Causal Claims with Repeated Measures Designs: A within-Study Comparison Evaluation of Differences-in-Differences and the Comparative Interrupted Time Series.” Evaluation Review 47 (5): 895–931. doi:10.1177/0193841X231167672.