This unique software package was written to aid meta-analysts as they review the studies comprising research literatures. DSTAT 1.10 is proficient at computing study effect sizes -- including both d and r -- and at analyzing these values. Working within Hedges" meta-analytic framework, DSTAT 1.10 features: * Extensive and sophisticated routines for computing study effect sizes from a wide variety of source statistics. These routines, as well as the rest of DSTAT 1.10"s routines, result in the presentation of both d- and r-values; * An Effect-Size Manager that serves to organize effect sizes and coded study characteristics; * Routines for computing composite means of effect sizes including an estimate of how consistent these values are; * Outlier analysis to identify cases that result in inconsistencies and permit the user to remove them from analyses; * Categorical model testing of effect sizes and study characteristics in the Effect-Size Manager. These models may include as many classes of effect sizes as have been defined by the user; and * The ability to import information from external statistics programs in order to: (a) create new data sets; (b) fit categorical models to effect sizes (using Hedges & Olkin"s TWD-, TWDS-, and TW-terms); and (c) fit continuous and/or multivariate models to effect sizes. DSTAT 1.10 is one of most refined programs for conducting meta-analysis available today. All options are menu-driven and the user can customize many operating specifications. The manual, in addition to documenting program features, provides a tutorial for first time meta-analysts. In addition, DSTAT 1.10 offers the following: * improved ability to derive effect sizes (g or equivalent); * greater flexibility in managing DSTAT data sets; * more flexibility and options in analyses; and * enhanced reliability and functionality.