Table 4

Summary of Studies Rated “Good”

Lead AuthorYear PublishedNStudy TypeStrengths
Broderick21202020,040Case seriesLarge database study of RTC defendants in one state. Used univariate analysis and then parametric regression to identify factors that affected LOS. Excellent description of statistical modeling.
Grossi22202258Case seriesCreative and rigorous assessment of a new feigning instrument. Pilot study compared data from established tools to professional structured judgment using ANOVAs and hierarchical multiple regression.
Kivisto232020492Case seriesUsed LCA to identify the typology of a good-sized sample of defendants referred for RTC. An eight-class solution was identified based on 17 characteristics.
Pirelli17201126,139Meta-analysisMeta-analysis of 68 studies from 1967 to 2008. Discussion of publication bias, inter-rater reliability, effect sizes, and moderator effects.
Pirelli4202012,781Meta-analysisAttempted meta-analysis of 51 studies on RTC, 1975 to 2013. Did not complete analysis because of “dismal” quality of research. Provided a thorough description of the state of the literature and provided recommendations.
Warren1820068,416Case seriesLarge study of CST evaluations from one state, 1993 to 2004. Studied multiple variables, determined effect sizes, and used chi-square and hierarchical logistic regression.
Warren2420132,260Case seriesLarge study of CST evaluations from one state, 1990 to 2007. Focused on reports which found ICST and offered an opinion about RTC. Used chi-square with Bonferroni correction and CHAID framework.
Williams251981431Case seriesHistorical article. Used difference in mean squares, discriminant analyses, and a novel weighted competency average, along with random sampling, reliability testing and cross-validation.
  • Abbreviations: ANOVA = analysis of variance, CHAID = chi squared automatic interaction detection, CST = competence to stand trial, ICST = incompetent to stand trial, LCA = latent class analysis, LOS = length of stay, RTC = restoration to competence.