A useful understanding of the relationship between age, actuarial scores, and sexual recidivism can be obtained by comparing the entries in equivalent cells from "age-stratified" actuarial tables. This article reports the compilation of the first multisample age-stratified table of sexual recidivism rates, referred to as the "multisample age-stratified table of sexual recidivism rates (MATS-1)," from recent research on Static-99 and another actuarial known as the Automated Sexual Recidivism Scale. The MATS-1 validates the "age invariance effect" that the risk of sexual recidivism declines with advancing age and shows that age-restricted tables underestimate risk for younger offenders and overestimate risk for older offenders. Based on data from more than 9,000 sex offenders, our conclusion is that evaluators should report recidivism estimates from age-stratified tables when they are assessing sexual recidivism risk, particularly when evaluating the aging sex offender.
This study examined the concurrent validity of assessments based on a prescribed set of preparation standards of teacher candidate competency. Participants were 94 candidates from a small, comprehensive liberal arts university in the northwest. Teacher candidate performance measures included a Summary Student Teaching Evaluation, an evaluation of a Teacher Work Sample (TWS), learning gain scores from P-12 students during a unit of instruction completed as part of the TWS, and State licensure content area tests. Measures of student teaching showed strong correlations internally and moderate correlations with the TWS evaluation. Measures of the TWS showed moderate correlations internally. Learning gain scores and content area test scores were weakly correlated with all other measures of candidate performance. The absence of moderate or strong correlations among different assessments suggests they are measuring different constructs supporting the use of a comprehensive set of standards-based assessments to determine candidates' readiness for licensure.
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