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The application is tested using various configurations of number of processors and block\u2010size of data reads on the estimation of a linear model of earnings for the California portion of the 15% sample of the 1970 Census. Performance factors assessed include total execution time, speed\u2010up and efficiency. Execution times are also compared with reference to execution times on an IBM 3081 using SPSS\u2010X. Results indicate that optimal configurations of number of processors and data block\u2010size can produce significantly faster execution times for linear model estimation on relatively large (80,000 cases) data sets. We also discuss other applications of parallel processing to statistical analyses commonly found in social science.<\/jats:p>","DOI":"10.1002\/cpe.4330040302","type":"journal-article","created":{"date-parts":[[2006,11,17]],"date-time":"2006-11-17T16:23:37Z","timestamp":1163780617000},"page":"207-221","source":"Crossref","is-referenced-by-count":4,"title":["Parallel\u2010processing applications for data analysis in the social sciences"],"prefix":"10.1002","volume":"4","author":[{"given":"John","family":"Skvoretz","sequence":"first","affiliation":[]},{"given":"Shelley A.","family":"Smith","sequence":"additional","affiliation":[]},{"given":"Chuck","family":"Baldwin","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2006,10,24]]},"reference":[{"key":"e_1_2_1_2_2","doi-asserted-by":"publisher","DOI":"10.1109\/TC.1972.5009071"},{"key":"e_1_2_1_3_2","doi-asserted-by":"publisher","DOI":"10.1086\/228704"},{"key":"e_1_2_1_4_2","doi-asserted-by":"publisher","DOI":"10.1086\/228709"},{"key":"e_1_2_1_5_2","doi-asserted-by":"publisher","DOI":"10.1086\/229031"},{"key":"e_1_2_1_6_2","doi-asserted-by":"publisher","DOI":"10.1086\/229217"},{"key":"e_1_2_1_7_2","volume-title":"American Women in Transition","author":"Bianchi S. 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