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Maximizing both external and internal validity in longitudinal true experiments with voluntary treatments: The "combined modified" design

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  • Braver, Sanford L.
  • Smith, Melanie C.

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  • Braver, Sanford L. & Smith, Melanie C., 1996. "Maximizing both external and internal validity in longitudinal true experiments with voluntary treatments: The "combined modified" design," Evaluation and Program Planning, Elsevier, vol. 19(4), pages 287-300, November.
    • Handle: RePEc:eee:epplan:v:19:y:1996:i:4:p:287-300
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    References listed on IDEAS

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    1. James J. Heckman, 1989. "Causal Inference and Nonrandom Samples," Journal of Educational and Behavioral Statistics, , vol. 14(2), pages 159-168, June.
    2. Donald Rubin, 1991. "EM and beyond," Psychometrika, Springer;The Psychometric Society, vol. 56(2), pages 241-254, June.
    3. Howard S. Bloom, 1984. "Accounting for No-Shows in Experimental Evaluation Designs," Evaluation Review, , vol. 8(2), pages 225-246, April.
    4. James Heckman, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    5. Moskowitz, Joel M., 1993. "Why reports of outcome evaluations are often biased or uninterpretable : Examples from evaluations of drug abuse prevention programs," Evaluation and Program Planning, Elsevier, vol. 16(1), pages 1-9.
    6. Dennis, Michael L. & Fetterman, David M. & Sechrest, Lee, 1994. "Integrating qualitative and quantitative evaluation methods in substance abuse research," Evaluation and Program Planning, Elsevier, vol. 17(4), pages 419-427.
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    1. Corrigan, Patrick W. & Salzer, Mark S., 2003. "The conflict between random assignment and treatment preference: implications for internal validity," Evaluation and Program Planning, Elsevier, vol. 26(2), pages 109-121, May.
    2. Sarah Friedrich & Gerd Antes & Sigrid Behr & Harald Binder & Werner Brannath & Florian Dumpert & Katja Ickstadt & Hans A. Kestler & Johannes Lederer & Heinz Leitgöb & Markus Pauly & Ansgar Steland & A, 2022. "Is there a role for statistics in artificial intelligence?," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 16(4), pages 823-846, December.
    3. Wan Hua Sim & Anthony F. Jorm & Marie B. H. Yap, 2022. "The Role of Parent Engagement in a Web-Based Preventive Parenting Intervention for Child Mental Health in Predicting Parenting, Parent and Child Outcomes," IJERPH, MDPI, vol. 19(4), pages 1-23, February.
    4. Sihem Dekhili & Mohamed Achabou, 2015. "The Influence of the Country-of-Origin Ecological Image on Ecolabelled Product Evaluation: An Experimental Approach to the Case of the European Ecolabel," Journal of Business Ethics, Springer, vol. 131(1), pages 89-106, September.

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