Q methodology is a unique, yet underutilized methodology designed specifically to scientifically study subjectivity. Q, as it is most often referred to, is an appropriate methodology whenever a researcher is interested in uncovering and describing the multiple divergent viewpoints on any topic. Such discovery of viewpoints provides insight into…

For estimation of heterogeneity variance T[superscript 2] in meta-analysis of log-odds-ratio, we derive new mean- and median-unbiased point estimators and new interval estimators based on a generalized Q statistic, Q[subscript F], in which the weights depend on only the studies' effective sample sizes. We compare them with familiar estimators…

The conventional Q statistic, using estimated inverse-variance (IV) weights, underlies a variety of problems in random-effects meta-analysis. In previous work on standardized mean difference and log-odds-ratio, we found superior performance with an estimator of the overall effect whose weights use only group-level sample sizes. The Q statistic…

A number of studies demonstrate that quantitative teaching provides social science students with analytical and critical skills. Accordingly, the skills acquired during quantitative teaching are assumed to enhance students' progress in and after their degree. However, previous studies rely on subjective measures of students' evaluations of their…