-Abadie, Alberto, Susan Athey, Guido W. Imbens, and Jeffrey Wooldridge. 2017.
“When Should You Adjust Standard Errors for Clustering?” NBER.
+Abadie, Alberto, Susan Athey, Guido W. Imbens, and Jeffrey Wooldridge. 2017.
“When Should You Adjust Standard Errors for Clustering?” NBER.
https://www-nber-org.ezp-prod1.hul.harvard.edu/papers/w24003.
-Bloom, Raudenbush, H. S., and K. Porter. 2017.
“Using Multisite Experiments to Study Cross-Site Variation in Treatment Effects: A Hybrid Approach with Fixed Intercepts and a Random Treatment Coefficient.” Journal of Research on Educational Effectiveness 10 (4): 817–42.
+Bloom, Raudenbush, H. S., and K. Porter. 2017.
“Using Multisite Experiments to Study Cross-Site Variation in Treatment Effects: A Hybrid Approach with Fixed Intercepts and a Random Treatment Coefficient.” Journal of Research on Educational Effectiveness 10 (4): 817–42.
https://doi.org/10.1080/19345747.2016.1264518.
Bowers, Jake. 2011. “Making Effects Manifest in Randomized Experiments.” In Cambridge Handbook of Experimental Political Science, edited by James N. Druckman, Donald P. Green, James H. Kuklinski, and Arthur Lupia. New York, NY: Cambridge University Press.
-Clark, Gleason, M. A., and M. K. Silverberg. 2011.
“Do Charter Schools Improve Student Achievement? Evidence from a National Randomized Study.” Mathematica Policy Research, Inc.
+Clark, Gleason, M. A., and M. K. Silverberg. 2011.
“Do Charter Schools Improve Student Achievement? Evidence from a National Randomized Study.” Mathematica Policy Research, Inc.
https://eric.ed.gov/?id=ED528381.
-Dong, Nianbo, and Rebecca Maynard. 2013.
“PowerUP!: A Tool for Calculating Minimum Detectable Effect Sizes and Minimum Required Sample Sizes for Experimental and Quasi-Experimental Design Studies.” Journal of Research on Educational Effectiveness 6 (1): 24–67.
+Dong, Nianbo, and Rebecca Maynard. 2013.
“PowerUP!: A Tool for Calculating Minimum Detectable Effect Sizes and Minimum Required Sample Sizes for Experimental and Quasi-Experimental Design Studies.” Journal of Research on Educational Effectiveness 6 (1): 24–67.
https://doi.org/10.1080/19345747.2012.673143.
Gerber, Alan S, and Donald P Green. 2012.
Field experiments: Design, analysis, and interpretation. WW Norton.
@@ -1015,7 +1015,7 @@
References
Hunter, Kristen, Luke Miratrix, and Kristin Porter. 2022.
“Power Under Multiplicity Project (PUMP): Estimating Power, Minimum Detectable Effect Size, and Sample Size When Adjusting for Multiple Outcomes.” arXiv.
https://arxiv.org/abs/2112.15273.
-Imai, Kosuke, Gary King, and Elizabeth A. Stuart. 2008.
“Misunderstandings Between Experimentalists and Observationalists about Causal Inference.” Journal of the Royal Statistical Society: Series A 171 (2): 481–502.
+Imai, Kosuke, Gary King, and Elizabeth A. Stuart. 2008.
“Misunderstandings Between Experimentalists and Observationalists about Causal Inference.” Journal of the Royal Statistical Society: Series A 171 (2): 481–502.
https://doi.org/10.1111/j.1467-985X.2007.00527.x.
Imbens, Guido W., and Donald B. Rubin. 2015. Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction. Cambridge University Press.
@@ -1024,43 +1024,43 @@
References
Lin, Winston. 2013. “Agnostic notes on regression adjustments to experimental data: Reexamining Freedman’s critique.” The Annals of Applied Statistics 7 (1): 295–318.
-Miratrix, Luke E., Michael Weiss, and Brit Henderson. 2021.
“An Applied Researcher’s Guide to Estimating Effects from Multisite Individually Randomized Trials: Estimands, Estimators, and Estimates.” Journal of Research on Educational Effectiveness 14.
+Miratrix, Luke E., Michael Weiss, and Brit Henderson. 2021.
“An Applied Researcher’s Guide to Estimating Effects from Multisite Individually Randomized Trials: Estimands, Estimators, and Estimates.” Journal of Research on Educational Effectiveness 14.
https://doi.org/10.1080/19345747.2020.1831115.
Moore, Ryan T. 2012. “Multivariate Continuous Blocking to Improve Political Science Experiments.” Political Analysis 20 (4): 460–79.
-Moore, Ryan T, and Sally A Moore. 2013.
“Blocking for Sequential Political Experiments.” Political Analysis 21: 507–23.
+Moore, Ryan T, and Sally A Moore. 2013.
“Blocking for Sequential Political Experiments.” Political Analysis 21: 507–23.
http://dx.doi.org/10.1093/pan/mpt007.
-Pashley, Nicole E., and Luke W. Miratrix. 2021.
“Insights on Variance Estimation for Blocked and Matched Pairs Designs.” Journal of Educational and Behavioral Statistics 46 (3): 271–96.
+Pashley, Nicole E., and Luke W. Miratrix. 2021.
“Insights on Variance Estimation for Blocked and Matched Pairs Designs.” Journal of Educational and Behavioral Statistics 46 (3): 271–96.
https://doi.org/10.3102/1076998620946272.
-———. 2022.
“Block When You Can, Except When You Shouldn’t.” Journal of Educational and Behavioral Statistics 47 (1).
+———. 2022.
“Block When You Can, Except When You Shouldn’t.” Journal of Educational and Behavioral Statistics 47 (1).
https://doi.org/10.3102/10769986211027240.
-Pustejovsky, James E., and Elizabeth Tipton. 2018.
“Small-Sample Methods for Cluster-Robust Variance Estimation and Hypothesis Testing in Fixed Effects Models.” Journal of Business & Economic Statistics 36 (4).
+Pustejovsky, James E., and Elizabeth Tipton. 2018.
“Small-Sample Methods for Cluster-Robust Variance Estimation and Hypothesis Testing in Fixed Effects Models.” Journal of Business & Economic Statistics 36 (4).
https://doi.org/10.1080/07350015.2016.1247004.
-Raudenbush, S. W., and D. Schwartz. 2020.
“Randomized Experiments in Education, with Implications for Multilevel Causal Inference.” Annual Review of Statistics and Its Application 7 (1).
+Raudenbush, S. W., and D. Schwartz. 2020.
“Randomized Experiments in Education, with Implications for Multilevel Causal Inference.” Annual Review of Statistics and Its Application 7 (1).
https://doi.org/10.1146/annurev-statistics-031219-041205.
-Raudenbush, Stephen W., and Howard S. Bloom. 2015.
“Learning about and from a Distribution of Program Impacts Using Multisite Trials.” American Journal of Evaluation 36: 475–99.
+Raudenbush, Stephen W., and Howard S. Bloom. 2015.
“Learning about and from a Distribution of Program Impacts Using Multisite Trials.” American Journal of Evaluation 36: 475–99.
https://doi.org/10.1177/1098214015600515.
-Richburg-Hayes, Visher, L., and D. Bloom. 2008.
“Do Learning Communities Effect Academic Outcomes? Evidence from an Experiment in a Community College.” Journal of Research on Educational Effectiveness 1 (1): 33–65.
+Richburg-Hayes, Visher, L., and D. Bloom. 2008.
“Do Learning Communities Effect Academic Outcomes? Evidence from an Experiment in a Community College.” Journal of Research on Educational Effectiveness 1 (1): 33–65.
https://doi.org/10.1080/19345740701692472.
Rubin, D. B. 1990. “Formal Modes of Statistical Inference for Causal Effects.” Journal of Statistical Planning and Inference 25: 279–92.
-Schochet, Peter Z. 2016.
“Statistical Theory for the RCT-YES Software: Design-Based Causal Inference for RCTs.”
+Schochet, Peter Z. 2016.
“Statistical Theory for the RCT-YES Software: Design-Based Causal Inference for RCTs.” https://www.mathematica.org/~/media/publications/pdfs/education/statistical_theory.pdf.
Splawa-Neyman, Jerzy, Dortoa M Dabrowska, and Terence P. Speed. 1923/1990. “On the Application of Probability Theory to Agricultural Experiments. Essay on Principles. Section 9.” Statistical Science 5 (4): 465–72.
-Weiss, Ratledge, M. J., and H. Gupta. 2017.
“Supporting Community College Students from Start to Degree Completion: Long-Term Evidence from a Randomized Trial of CUNY’s ASAP.” Annual Economic Journal: Applied Economics 11 (3).
+Weiss, Ratledge, M. J., and H. Gupta. 2017.
“Supporting Community College Students from Start to Degree Completion: Long-Term Evidence from a Randomized Trial of CUNY’s ASAP.” Annual Economic Journal: Applied Economics 11 (3).
https://doi-org.ezp-prod1.hul.harvard.edu/10.1080/19345740701692472.
diff --git a/multisite/refs.bib b/multisite/refs.bib
index c9fa9a2..4de5cc3 100644
--- a/multisite/refs.bib
+++ b/multisite/refs.bib
@@ -67,7 +67,7 @@ @article{moore2013
title = {Blocking for sequential political experiments},
volume = {21},
year = {2013},
- bdsk-url-1 = {http://dx.doi.org/10.1093/pan/mpt007}}
+ url = {http://dx.doi.org/10.1093/pan/mpt007}}
@article{moore2012multivariate,
author = {Moore, Ryan T},
@@ -94,7 +94,7 @@ @techreport{Abadie2017
title = {When should you adjust standard errors for clustering?},
institution = {NBER},
year = {2017},
- bdsk-url-1 = {https://www-nber-org.ezp-prod1.hul.harvard.edu/papers/w24003}}
+ url = {https://www-nber-org.ezp-prod1.hul.harvard.edu/papers/w24003}}
@article{Bloom2017,
author = {Bloom, H. S., Raudenbush, S. W., Weiss, M. J., and Porter, K.},
@@ -104,14 +104,14 @@ @article{Bloom2017
title = {Using multisite experiments to study cross-site variation in treatment effects: A hybrid approach with fixed intercepts and a random treatment coefficient},
volume = {10},
year = {2017},
- bdsk-url-1 = {https://doi.org/10.1080/19345747.2016.1264518}}
+ url = {https://doi.org/10.1080/19345747.2016.1264518}}
@misc{Clark2011,
author = {Clark, M. A., Gleason, P., Tuttle, C. C., and Silverberg, M. K.},
howpublished = {Mathematica Policy Research, Inc},
title = {Do Charter Schools Improve Student Achievement? Evidence from a National Randomized Study},
year = {2011},
- bdsk-url-1 = {https://eric.ed.gov/?id=ED528381}}
+ url = {https://eric.ed.gov/?id=ED528381}}
@article{Dong2013,
author = {Dong, Nianbo and Maynard, Rebecca},
@@ -122,7 +122,7 @@ @article{Dong2013
title = {PowerUP!: A Tool for Calculating Minimum Detectable Effect Sizes and Minimum Required Sample Sizes for Experimental and Quasi-Experimental Design Studies},
volume = {6},
year = {2013},
- bdsk-url-1 = {https://doi.org/10.1080/19345747.2012.673143}}
+ url = {https://doi.org/10.1080/19345747.2012.673143}}
@misc{Hunter2022,
author = {Kristen Hunter and Luke Miratrix and Kristin Porter},
@@ -130,7 +130,7 @@ @misc{Hunter2022
title = {Power Under Multiplicity Project (PUMP): Estimating Power, Minimum Detectable Effect Size, and Sample Size When Adjusting for Multiple Outcomes},
url = {https://arxiv.org/abs/2112.15273},
year = {2022},
- bdsk-url-1 = {https://arxiv.org/abs/2112.15273}}
+ url = {https://arxiv.org/abs/2112.15273}}
@book{Imbens2015,
author = {Guido W. Imbens and Donald B. Rubin},
@@ -146,7 +146,7 @@ @article{Imai2008
title = {Misunderstandings between experimentalists and observationalists about causal inference},
volume = {171},
year = {2008},
- bdsk-url-1 = {https://doi.org/10.1111/j.1467-985X.2007.00527.x}}
+ url = {https://doi.org/10.1111/j.1467-985X.2007.00527.x}}
@article{Neyman1923,
author = {Jerzy Splawa-Neyman and Dortoa M Dabrowska and Terence P. Speed},
@@ -165,7 +165,7 @@ @article{Miratrix2020
volume = {14},
issue = {1},
year = {2021},
- bdsk-url-1 = {https://doi.org/10.1080/19345747.2020.1831115}}
+ url = {https://doi.org/10.1080/19345747.2020.1831115}}
@article{Pashley2021,
author = {Nicole E. Pashley and Luke W. Miratrix},
@@ -175,7 +175,7 @@ @article{Pashley2021
title = {Insights on Variance Estimation for Blocked and Matched Pairs Designs},
volume = {46},
year = {2021},
- bdsk-url-1 = {https://doi.org/10.3102/1076998620946272}}
+ url = {https://doi.org/10.3102/1076998620946272}}
@article{Pashley2022,
author = {Nicole E. Pashley and Luke W. Miratrix},
@@ -184,7 +184,7 @@ @article{Pashley2022
title = {Block when you can, except when you shouldn't},
volume = {47},
year = {2022},
- bdsk-url-1 = {https://doi.org/10.3102/10769986211027240}}
+ url = {https://doi.org/10.3102/10769986211027240}}
@article{Pustejovsky2018,
author = {James E. Pustejovsky and Elizabeth Tipton},
@@ -193,7 +193,7 @@ @article{Pustejovsky2018
number = {4},
title = {Small-Sample Methods for Cluster-Robust Variance Estimation and Hypothesis Testing in Fixed Effects Models},
year = {2018},
- bdsk-url-1 = {https://doi.org/10.1080/07350015.2016.1247004}}
+ url = {https://doi.org/10.1080/07350015.2016.1247004}}
@article{Raudenbush2007,
author = {Stephen W. Raudenbush and Andres Martinez and Jessaca Spybrook},
@@ -203,7 +203,7 @@ @article{Raudenbush2007
title = {Strategies for Improving Precision in Group-Randomized Experiments},
volume = {29},
year = {2007},
- bdsk-url-1 = {https://doi.org/10.3102/0162373707299460}}
+ url = {https://doi.org/10.3102/0162373707299460}}
@article{Raudenbush2015,
author = {Stephen W. Raudenbush and Howard S. Bloom},
@@ -212,7 +212,7 @@ @article{Raudenbush2015
title = {Learning About and From a Distribution of Program Impacts Using Multisite Trials},
volume = {36},
year = {2015},
- bdsk-url-1 = {https://doi.org/10.1177/1098214015600515}}
+ url = {https://doi.org/10.1177/1098214015600515}}
@article{Raudenbush2020,
author = {Raudenbush, S. W., and Schwartz, D.},
@@ -221,7 +221,7 @@ @article{Raudenbush2020
title = {Randomized Experiments in Education, with Implications for Multilevel Causal Inference},
volume = {7},
year = {2020},
- bdsk-url-1 = {https://doi.org/10.1146/annurev-statistics-031219-041205}}
+ url = {https://doi.org/10.1146/annurev-statistics-031219-041205}}
@article{Richburg-Hayes2008,
author = {Richburg-Hayes, L., Visher, M., and Bloom, D.},
@@ -231,13 +231,13 @@ @article{Richburg-Hayes2008
title = {Do learning communities effect academic outcomes? Evidence from an experiment in a community college},
volume = {1},
year = {2008},
- bdsk-url-1 = {https://doi.org/10.1080/19345740701692472}}
+ url = {https://doi.org/10.1080/19345740701692472}}
@misc{Schochet2016,
author = {Peter Z. Schochet},
title = {Statistical Theory for the RCT-YES Software: Design-Based Causal Inference for RCTs},
year = {2016},
- bdsk-url-1 = {https://www.mathematica.org/~/media/publications/pdfs/education/statistical_theory.pdf}}
+ url = {https://www.mathematica.org/~/media/publications/pdfs/education/statistical_theory.pdf}}
@article{Weiss2019,
author = {Weiss, M. J., Ratledge, A., Sommo, C., and Gupta, H.},
@@ -246,4 +246,4 @@ @article{Weiss2019
title = {Supporting Community College Students from Start to Degree Completion: Long-Term Evidence from a Randomized Trial of CUNY's ASAP},
volume = {11},
year = {2017},
- bdsk-url-1 = {https://doi-org.ezp-prod1.hul.harvard.edu/10.1080/19345740701692472}}
+ url = {https://doi-org.ezp-prod1.hul.harvard.edu/10.1080/19345740701692472}}