The purpose of this investigation was to examine statistical data analysis techniques utilized in the Journal of Sport Management (JSM). JSM was selected because it is the primary publication outlet for research in undergraduate and graduate sport managemnet degree programs throughout North America. It is also the official research publication of the North American Society for Sport Management (NASSM). A total of 248 articles appeared in JSM from 1987 to 2001. Only the quantitative data based articles were included in the current investigation. A total of 133 quantitative data based articles were tabulated and classified as 20 statistical techniques. Quantitative data based articles refer to articles where data were collected and a type of statistical data analysis technique was employed. For each of the articles, a coding process was utilized that involved: (1) reading the article, (2) deciding whether the technique(s) was primary for answering the main research question(s)/hypothesis(es), and (3) categorizing each technique by level of difficulty as basic, intermediate, or advanced. A total of 343 statistical techniques were located and classified by level of difficulty. Of the three levels, nearly two-thirds (63.3%) of the techniques were basic; slightly more than one-fifth (22.2%) were intermediate; and fifteen percent (14.6%) were coded as advanced techniques. Of all statistical techniques coded, descriptive statistics,(37.6%) were the most frequent, followed by the t-tests (7.6%), factorial ANOVA (7.3%), Pearson Correlation (7.0%) and Chi Square (6.4%). Of the twenty statistical data analysis techniques, nine were utilized less than 1.0% by JSM researchers, including planned orthogonal comparisons, trend analysis, oneway ANCOVA, factorial ANCOVA, discriminate analysis, cluster analysis, pattern analysis, contrast analysis, content analysis, and one-way MANOVA-MANCOVA. The intent of this investigation was not to rate the quality of research published in JSM, but to provide its readers an overview of the most and least frequently statistical data analysis techniques. From a larger scope, it was an attempt to assist in developing and cultivating a scientific body of knowledge for better understanding of the sport industry management phenomena, ideas, and concepts via research methods.