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.
"...especially helpful at the data collection point....comes with an excellent 99-page manual....extremely well-written and easy to follow."
—Psychology Software News