Sample Size Planning for Statistical Power and Accuracy in Parameter Estimation.

@article{citeulike:2184758, abstract = {This review examines recent advances in sample size planning, not only from the perspective of an individual researcher, but also with regard to the goal of developing cumulative knowledge. Psychologists have traditionally thought of sample size planning in terms of power analysis. Although we review recent advances in power analysis, our main focus is the desirability of achieving accurate parameter estimates, either instead of or in addition to obtaining sufficient power. Accuracy in parameter estimation (AIPE) has taken on increasing importance in light of recent emphasis on effect size estimation and formation of confidence intervals. The review provides an overview of the logic behind sample size planning for AIPE and summarizes recent advances in implementing this approach in designs commonly used in psychological research.}, address = {1Department of Psychology, University of Notre Dame, Notre Dame, Indiana 46556; email: smaxwell@nd.edu , 2Inquiry Methodology Program, Indiana University, Bloomington, Indiana 47405; email: kkiii@indiana.edu , 3Department of Psychology, University of Minnesota, Minneapolis, Minnesota 55455; email: rausch@umn.edu.}, author = {Maxwell, Scott E E. and Kelley, Ken and Rausch, Joseph R R. }, citeulike-article-id = {2184758}, doi = {http://dx.doi.org/10.1146/annurev.psych.59.103006.093735}, issn = {0066-4308}, journal = {Annu Rev Psychol}, keywords = {power, precision-analysis, regression, sample-size}, month = {January}, pages = {537--563}, posted-at = {2008-05-23 07:37:30}, priority = {0}, title = {Sample Size Planning for Statistical Power and Accuracy in Parameter Estimation.}, url = {http://dx.doi.org/10.1146/annurev.psych.59.103006.093735}, volume = {59}, year = {2008} }

TY - JOUR ID - citeulike:2184758 L3 - citeulike-article-id:2184758 TI - Sample Size Planning for Statistical Power and Accuracy in Parameter Estimation. JF - Annu Rev Psychol VL - 59 SP - 537 EP - 563 AD - 1Department of Psychology, University of Notre Dame, Notre Dame, Indiana 46556; email: smaxwell@nd.edu , 2Inquiry Methodology Program, Indiana University, Bloomington, Indiana 47405; email: kkiii@indiana.edu , 3Department of Psychology, University of Minnesota, Minneapolis, Minnesota 55455; email: rausch@umn.edu. SN - 0066-4308 N2 - This review examines recent advances in sample size planning, not only from the perspective of an individual researcher, but also with regard to the goal of developing cumulative knowledge. Psychologists have traditionally thought of sample size planning in terms of power analysis. Although we review recent advances in power analysis, our main focus is the desirability of achieving accurate parameter estimates, either instead of or in addition to obtaining sufficient power. Accuracy in parameter estimation (AIPE) has taken on increasing importance in light of recent emphasis on effect size estimation and formation of confidence intervals. The review provides an overview of the logic behind sample size planning for AIPE and summarizes recent advances in implementing this approach in designs commonly used in psychological research. KW - power KW - precision-analysis KW - regression KW - sample-size AU - Maxwell, Scott E AU - Kelley, Ken AU - Rausch, Joseph R PY - 2008/01/10/ UR - http://dx.doi.org/10.1146/annurev.psych.59.103006.093735 ER -