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Volumn 6, Issue 1, 2013, Pages 24-67

PowerUp!: A Tool for Calculating Minimum Detectable Effect Sizes and Minimum Required Sample Sizes for Experimental and Quasi-Experimental Design Studies

Author keywords

minimum detectable effect size; multilevel experimental; Power analysis; quasi experimental designs

Indexed keywords


EID: 84872413608     PISSN: 19345747     EISSN: 19345739     Source Type: Journal    
DOI: 10.1080/19345747.2012.673143     Document Type: Article
Times cited : (147)

References (45)
  • 1
    • 0039552198 scopus 로고    scopus 로고
    • Using Maimonides' rule to estimate the effect of class size on scholastic achievement
    • Angrist, J. D. and Lavy, V. 1999. Using Maimonides' rule to estimate the effect of class size on scholastic achievement. The Quarterly Journal of Economics, 114: 533-575.
    • (1999) The Quarterly Journal of Economics , vol.114 , pp. 533-575
    • Angrist, J.D.1    Lavy, V.2
  • 2
    • 84973847530 scopus 로고
    • Minimum detectable effects: A simple way to report the statistical power of experimental designs
    • Bloom, H. S. 1995. Minimum detectable effects: A simple way to report the statistical power of experimental designs. Evaluation Review, 19: 547-556.
    • (1995) Evaluation Review , vol.19 , pp. 547-556
    • Bloom, H.S.1
  • 5
    • 0037318164 scopus 로고    scopus 로고
    • Using short interrupted time-series analysis to measure the impacts of whole school reforms: With applications to a study of accelerated schools
    • Bloom, H. S. 2003. Using short interrupted time-series analysis to measure the impacts of whole school reforms: With applications to a study of accelerated schools. Evaluation Review, 27: 3-49.
    • (2003) Evaluation Review , vol.27 , pp. 3-49
    • Bloom, H.S.1
  • 6
    • 84903037207 scopus 로고    scopus 로고
    • Randomizing groups to evaluate place-based programs
    • In: Bloom H. S., editors New York, NY, New York, NY,: Russell Sage Foundation
    • Bloom, H. S. 2005. "Randomizing groups to evaluate place-based programs". In Learning more from social experiments: Evolving analytic approaches (pp. 115-172), Edited by: Bloom, H. S. New York, NY: Russell Sage Foundation.
    • (2005) Learning more from social experiments: Evolving analytic approaches , pp. 115-172
    • Bloom, H.S.1
  • 7
    • 49049099440 scopus 로고    scopus 로고
    • New York, NY, New York, NY,: Manpower Demonstration Research Corporation, (MDRC Working Papers on Research Methodology) Available from
    • Bloom, H. S. 2006. The core analytics of randomized experiments for social research, New York, NY: Manpower Demonstration Research Corporation. (MDRC Working Papers on Research Methodology) Available from http://www.mdrc.org/publications/437/full.pdf
    • (2006) The core analytics of randomized experiments for social research
    • Bloom, H.S.1
  • 8
    • 78651458494 scopus 로고    scopus 로고
    • New York, NY, New York, NY,: Manpower Demonstration Research Corporation, (MDRC Working Papers on Research Methodology) Available from
    • Bloom, H. S. 2009. Modern regression discontinuity analysis, New York, NY: Manpower Demonstration Research Corporation. (MDRC Working Papers on Research Methodology) Available from http://www.mdrc.org/publications/539/abstract.html
    • (2009) Modern regression discontinuity analysis
    • Bloom, H.S.1
  • 9
    • 85009597168 scopus 로고    scopus 로고
    • Performance trajectories and performance gaps as achievement effect-size benchmarks for educational interventions
    • Bloom, H. S., Hill, C. J., Black, A. R. and Lipsey, M. W. 2008. Performance trajectories and performance gaps as achievement effect-size benchmarks for educational interventions. Journal of Research on Educational Effectiveness, 1: 289-328.
    • (2008) Journal of Research on Educational Effectiveness , vol.1 , pp. 289-328
    • Bloom, H.S.1    Hill, C.J.2    Black, A.R.3    Lipsey, M.W.4
  • 10
    • 34247254386 scopus 로고    scopus 로고
    • Using covariates to improve precision for studies that randomize schools to evaluate educational interventions
    • Bloom, H. S., Richburg-Hayes, L. and Black, A. R. 2007. Using covariates to improve precision for studies that randomize schools to evaluate educational interventions. Educational Evaluation and Policy Analysis, 29: 30-59.
    • (2007) Educational Evaluation and Policy Analysis , vol.29 , pp. 30-59
    • Bloom, H.S.1    Richburg-Hayes, L.2    Black, A.R.3
  • 13
    • 0034550583 scopus 로고    scopus 로고
    • Comer's school development program in Chicago: A theory-based evaluation
    • Cook, T. D., Hunt, H. D. and Murphy, R. F. 2000. Comer's school development program in Chicago: A theory-based evaluation. American Educational Research Journal, 37: 535-597.
    • (2000) American Educational Research Journal , vol.37 , pp. 535-597
    • Cook, T.D.1    Hunt, H.D.2    Murphy, R.F.3
  • 15
    • 51649102620 scopus 로고    scopus 로고
    • Washington, DC, Washington, DC,: National Center for Education Evaluation and Regional Assistance, Institute of Educational Sciences, U.S. Department of Education, (NCES 2008-4016)
    • Gamse, B. C., Bloom, H. S., Kemple, J. J., Jacob, R. T., Boulay, B., Bozzi, L. and Zhu, P. 2008. Reading First impact study: Interim report, Washington, DC: National Center for Education Evaluation and Regional Assistance, Institute of Educational Sciences, U.S. Department of Education. (NCES 2008-4016)
    • (2008) Reading First impact study: Interim report
    • Gamse, B.C.1    Bloom, H.S.2    Kemple, J.J.3    Jacob, R.T.4    Boulay, B.5    Bozzi, L.6    Zhu, P.7
  • 16
    • 78349280182 scopus 로고    scopus 로고
    • Washington, DC, Washington, DC,: National Center for Education Evaluation and Regional Assistance, Institute of Education Sciences, (NCEE 2101-4010)
    • Gleason, P., Clark, M., Tuttle, C. and Dwoyer, E. 2010. The evaluation of charter school impacts: Final report, Washington, DC: National Center for Education Evaluation and Regional Assistance, Institute of Education Sciences. (NCEE 2101-4010)
    • (2010) The evaluation of charter school impacts: Final report
    • Gleason, P.1    Clark, M.2    Tuttle, C.3    Dwoyer, E.4
  • 17
    • 34247269174 scopus 로고    scopus 로고
    • Interclass correlation values for planning group-randomized trials in education
    • Hedges, L. V. and Hedberg, E. 2007. Interclass correlation values for planning group-randomized trials in education. Educational Evaluation and Policy Analysis, 29: 60-87.
    • (2007) Educational Evaluation and Policy Analysis , vol.29 , pp. 60-87
    • Hedges, L.V.1    Hedberg, E.2
  • 18
    • 84867677061 scopus 로고    scopus 로고
    • Washington, DC, Washington, DC,: National Center for Special Education Research, Institute of Education Sciences, U.S. Department of Education, (NCSER 2010-3006) Available from
    • Hedges, L. V. and Rhoads, C. 2010. Statistical power analysis in education research, Washington, DC: National Center for Special Education Research, Institute of Education Sciences, U.S. Department of Education. (NCSER 2010-3006) Available from http://ies.ed.gov/ncser/
    • (2010) Statistical power analysis in education research
    • Hedges, L.V.1    Rhoads, C.2
  • 20
    • 36849078566 scopus 로고    scopus 로고
    • Regression discontinuity designs: A guide to practice
    • Imbens, G. and Lemieux, T. 2008. Regression discontinuity designs: A guide to practice. Journal of Econometrics, 142: 615-635.
    • (2008) Journal of Econometrics , vol.142 , pp. 615-635
    • Imbens, G.1    Lemieux, T.2
  • 21
    • 1842533889 scopus 로고    scopus 로고
    • Remedial education and student achievement: A regression-discontinuity analysis
    • Jacob, B. and Lefgren, L. 2004. Remedial education and student achievement: A regression-discontinuity analysis. Review of Economics and Statistics, 86: 226-244.
    • (2004) Review of Economics and Statistics , vol.86 , pp. 226-244
    • Jacob, B.1    Lefgren, L.2
  • 24
    • 85009647562 scopus 로고    scopus 로고
    • The power of the test for treatment effects in three-level block randomized designs
    • Konstantopoulos, S. 2008a. The power of the test for treatment effects in three-level block randomized designs. Journal of Research on Educational Effectiveness, 1: 265-288.
    • (2008) Journal of Research on Educational Effectiveness , vol.1 , pp. 265-288
    • Konstantopoulos, S.1
  • 25
    • 85009627910 scopus 로고    scopus 로고
    • The power of the test for treatment effects in three-level cluster randomized designs
    • Konstantopoulos, S. 2008b. The power of the test for treatment effects in three-level cluster randomized designs. Journal of Research on Educational Effectiveness, 1: 66-88.
    • (2008) Journal of Research on Educational Effectiveness , vol.1 , pp. 66-88
    • Konstantopoulos, S.1
  • 26
    • 84865797668 scopus 로고    scopus 로고
    • Using power tables to compute statistical power in multilevel experimental designs
    • Retrieved from =14&n=10
    • Konstantopoulos, S. 2009. Using power tables to compute statistical power in multilevel experimental designs. Practical Assessment, Research & Evaluation, 14(10) Retrieved from http://pareonline.net/getvn.asp?v=14&n=10
    • (2009) Practical Assessment, Research & Evaluation , vol.14 , Issue.10
    • Konstantopoulos, S.1
  • 27
    • 36849050151 scopus 로고    scopus 로고
    • Mandatory summer school and student achievement
    • Matsudaira, J. D. 2008. Mandatory summer school and student achievement. Journal of Econometrics, 142: 829-850.
    • (2008) Journal of Econometrics , vol.142 , pp. 829-850
    • Matsudaira, J.D.1
  • 30
    • 0033457657 scopus 로고    scopus 로고
    • The long-term effects of small classes: A five-year follow-up of the Tennessee class-size experiment
    • Nye, B., Hedges, L. V. and Konstantopoulos, S. 1999. The long-term effects of small classes: A five-year follow-up of the Tennessee class-size experiment. Educational Evaluation and Policy Analysis, 21: 127-142.
    • (1999) Educational Evaluation and Policy Analysis , vol.21 , pp. 127-142
    • Nye, B.1    Hedges, L.V.2    Konstantopoulos, S.3
  • 34
    • 0001408941 scopus 로고    scopus 로고
    • Statistical analysis and optimal design for cluster randomized trials
    • Raudenbush, S. W. 1997. Statistical analysis and optimal design for cluster randomized trials. Psychological Methods, 2: 173-185.
    • (1997) Psychological Methods , vol.2 , pp. 173-185
    • Raudenbush, S.W.1
  • 35
    • 0034202982 scopus 로고    scopus 로고
    • Statistical power and optimal design for multisite randomized trials
    • Raudenbush, S. W. and Liu, X. 2000. Statistical power and optimal design for multisite randomized trials. Psychological Methods, 5: 199-213.
    • (2000) Psychological Methods , vol.5 , pp. 199-213
    • Raudenbush, S.W.1    Liu, X.2
  • 39
    • 40749144902 scopus 로고    scopus 로고
    • Statistical power for randomized assignment evaluation of education programs
    • Schochet, P. Z. 2008a. Statistical power for randomized assignment evaluation of education programs. Journal of Educational and Behavioral Statistics, 33(1): 62-87.
    • (2008) Journal of Educational and Behavioral Statistics , vol.33 , Issue.1 , pp. 62-87
    • Schochet, P.Z.1
  • 43
    • 0001508790 scopus 로고
    • Regression-discontinuity analysis: An alternative to the ex post facto experiment
    • Thistelwaite, D. and Campbell, D. T. 1960. Regression-discontinuity analysis: An alternative to the ex post facto experiment. Journal of Educational Psychology, 51: 309-317.
    • (1960) Journal of Educational Psychology , vol.51 , pp. 309-317
    • Thistelwaite, D.1    Campbell, D.T.2
  • 45
    • 77957358121 scopus 로고    scopus 로고
    • U.S. Department of Education, What Works Clearinghouse, Washington, DC, Washington, DC,: Author, December
    • U.S. Department of Education, What Works Clearinghouse. 2008. Procedures and standards handbook (Version 2), Washington, DC: Author. December
    • (2008) Procedures and standards handbook (Version 2)


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