Note on the sampling error of the difference between correlated proportions or percentages Export

@article{McNemar47, abstract = {Abstract\ \ Two formulas are presented for judging the significance of the difference between correlated proportions. The chi square equivalent of one of the developed formulas is pointed out.}, author = {McNemar, Quinn}, citeulike-article-id = {6015799}, citeulike-linkout-0 = {http://dx.doi.org/10.1007/BF02295996}, citeulike-linkout-1 = {http://www.springerlink.com/content/843g84t135765212}, day = {18}, doi = {10.1007/BF02295996}, journal = {Psychometrika}, keywords = {seminal, statistics}, month = {June}, number = {2}, pages = {153--157}, posted-at = {2009-10-27 13:33:05}, priority = {2}, title = {Note on the sampling error of the difference between correlated proportions or percentages}, url = {http://dx.doi.org/10.1007/BF02295996}, volume = {12}, year = {1947} }

TY - JOUR ID - McNemar47 L3 - citeulike-article-id:6015799 N2 - Abstract  Two formulas are presented for judging the significance of the difference between correlated proportions. The chi square equivalent of one of the developed formulas is pointed out. IS - 2 JF - Psychometrika EP - 157 TI - Note on the sampling error of the difference between correlated proportions or percentages VL - 12 SP - 153 KW - seminal KW - statistics AU - McNemar, Quinn PY - 1947/06/18/ UR - http://dx.doi.org/10.1007/BF02295996 ER -