Statistical comparison of four effect sizes for single-subject designs. Export

@article{citeulike:418913, abstract = {Controversy exists regarding appropriate methods for summarizing treatment outcomes for single-subject designs. Nonregression- and regression-based methods have been proposed to summarize the efficacy of single-subject interventions with proponents of both methods arguing for the superiority of their respective approaches. To compare findings for different single-subject effect sizes, 117 articles that targeted the reduction of problematic behaviors in 181 individuals diagnosed with autism were examined. Four effect sizes were calculated for each article: mean baseline reduction (MBLR), percentage of nonoverlapping data (PND), percentage of zero data (PZD), and one regression-based d statistic. Although each effect size indicated that behavioral treatment was effective, moderating variables were detected by the PZD effect size only. Pearson product-moment correlations indicated that effect sizes differed in statistical relationships to one another. In the present review, the regression-based d effect size did not improve the understanding of single-subject treatment outcomes when compared to nonregression effect sizes.}, address = {University of Memphis, USA. jcampbel@coe.uga.edu}, author = {Campbell, J. M.}, citeulike-article-id = {418913}, citeulike-linkout-0 = {http://dx.doi.org/10.1177/0145445503259264}, citeulike-linkout-1 = {http://view.ncbi.nlm.nih.gov/pubmed/14997950}, citeulike-linkout-2 = {http://www.hubmed.org/display.cgi?uids=14997950}, doi = {10.1177/0145445503259264}, issn = {0145-4455}, journal = {Behav Modif}, keywords = {design, effect\_size, statistics}, month = {March}, number = {2}, pages = {234--246}, posted-at = {2005-12-01 23:51:16}, priority = {2}, title = {Statistical comparison of four effect sizes for single-subject designs.}, url = {http://dx.doi.org/10.1177/0145445503259264}, volume = {28}, year = {2004} }

TY - JOUR ID - citeulike:418913 L3 - citeulike-article-id:418913 N2 - Controversy exists regarding appropriate methods for summarizing treatment outcomes for single-subject designs. Nonregression- and regression-based methods have been proposed to summarize the efficacy of single-subject interventions with proponents of both methods arguing for the superiority of their respective approaches. To compare findings for different single-subject effect sizes, 117 articles that targeted the reduction of problematic behaviors in 181 individuals diagnosed with autism were examined. Four effect sizes were calculated for each article: mean baseline reduction (MBLR), percentage of nonoverlapping data (PND), percentage of zero data (PZD), and one regression-based d statistic. Although each effect size indicated that behavioral treatment was effective, moderating variables were detected by the PZD effect size only. Pearson product-moment correlations indicated that effect sizes differed in statistical relationships to one another. In the present review, the regression-based d effect size did not improve the understanding of single-subject treatment outcomes when compared to nonregression effect sizes. IS - 2 JF - Behav Modif SN - 0145-4455 AD - University of Memphis, USA. jcampbel@coe.uga.edu EP - 246 TI - Statistical comparison of four effect sizes for single-subject designs. VL - 28 SP - 234 KW - design KW - effect_size KW - statistics AU - Campbell, JM PY - 2004/03// UR - http://dx.doi.org/10.1177/0145445503259264 ER -