A model is proposed to account for publication bias explicitly using a weight function that describes probability of publication for a particular study in terms of a selection parameter. A Bayesian analysis of this model using Gibbs sampling is conducted, and the model is applied to a published meta-analysis. (SLD)

A selection model for meta-analysis is proposed that models the selection process and corrects for the consequences of selection by publication on estimates of the mean and variance of the effect parameters. Simulation studies show that the model substantially reduces bias when the model specification is correct. (SLD)

Compares the usefulness of standard score results (such as correlations and standardized regression of coefficients) to that of raw scores results (such as covariances and raw score regression coefficients). Examines the two main advantages of presenting standardized results. Demonstrates the implications of these two standardized score advantages…

Relates the development of theories concerning gender differences in mental ability and reexamines them using meta-analysis. Finds that the greatest difference is in one type of spatial ability, mental rotation. There is only a small difference in mathematical performance, and no difference in verbal ability. (DM)

A meta-analysis compared quality of writing samples of 836 students (kindergarten through college) using word processors versus traditional writing methods. Study found small but significant improvement of quality of those using word processors; no significant difference between experienced and nonexperienced writers; small, significant positive…

Critiques the current debate on adult education. Discusses adult education as an academic discipline, the function of theory in adult education, the clientele, and questions of professionalization in the field. (RW)

Subjected 81 research studies on Ivey's (1971) microcounseling program to a comprehensive meta-analysis, assessing the relation between effect size and the sampling distribution of several important methodological and substantive characteristics. Results suggest that the microcounseling program is educationally effective for teaching simple,…

Reports on meta-analysis of 183 experiments comparing the effect sizes (average amount of change observed) of measurement techniques for assessing the effectiveness of public speaking anxiety treatments. Shows differences between self-report, observer, and physiological measurement techniques. Finds no interaction between type of therapy and type…

Discusses the cost effectiveness of training interventions for industry and education. Highlights include the differences between cost-benefit analysis and cost-effectiveness analysis; measuring effects; the development of meta-analysis; cost and its measurement; cost-effectiveness ratios; and an example of the cost-effectiveness of computer-based…

Findings based on a meta-analysis of 16 individual studies conducted in Israel are reported. The study investigated how enhancing instruction may affect motor learning in students on various grade levels (K-11). (IAH)

A review of 25 studies found that demonstrations of successful generalization of skills by persons with profound mental handicaps were characterized by: several trained exemplars, trained behaviors likely to be reinforced in natural settings by natural consequences, use of training stimuli common to the generalization setting, and training in…

Considers two ways of conducting the search for generalizations about messages: (1) single-message research designs used with meta-analytic summaries; and (2) multiple-message designs treating messages as a random factor in the statistical analysis. Contends that the treatment of messages as a random factor is statistically appropriate. (MS)

Replies to Sally Jackson, Daniel O'Keefe, and Scott Jacobs' article (same issue), maintaining that randomness requirements can not be relaxed for generalizing from message samples, since systematic samples are not truly random. (MS)

Compares results of Hunter-Schmidt meta-analytic technique with results of Glass meta-analytic technique on three meta-analytic data sets chosen from the literature, hypothesizing that the Hunter-Schmidt mean effect size would be significantly larger than the Glass mean effect size because of correlation for measurement error. Results confirmed…

Two new methods of estimating the mean population correlation (M) and the standard deviation of population correlations (SD) were suggested and tested by Monte Carlo simulations. Results show no consistent advantage to using the Pearson correlation or Fisher's Z in estimating M or SD; estimates from all methods are similar. (SLD)