The use of meta-analysis in industrial and organizational psychology has become quite common. Unfortunately, the understanding and research necessary to ensure appropriate application of the technique have not been as widespread. As part of a larger study, a content analysis of meta-analyses from the industrial and organizational psychological literature was conducted to document the sample sizes--(sub i), number of studies (K), reliabilities: r(sub xx), r(sub yy); and types of meta-analyses occurring in the literature. This content analysis was used to identify the typical values associated with data sets found in meta-analyses conducted in industrial and organizational psychology. Published articles occurring from January 1980 to June 1986 in seven journals were included. Meta-analytic papers presented at the 1984 and 1985 annual meetings of the American Psychological Association and the Academy of Management were also reviewed. A total of 81 meta-analytic studies was found; 19 were selection validation and 62 were non-validation studies. Results of the content analysis included the average reported reliabilities (R(sub xx) = 0.79, and R(sub yy) = 0.71) and the median sample size per correlation--n(sub i) = 102. Together, these two findings indicate that the literature is full of studies having low power, and that based on other research (J. M. Cornwell, 1987; E. R. Kemery, K. W. Mossholder, and L. Roth, 1987; and R. T. Ladd and J. M. Cornwell, 1986), such data may lead to biased estimates when used in a meta-analysis. Four tables and two graphs present study data. (Author/SLD)