Description: A Monte Carlo simulation study investigated the effect of scoring format, item parameterization, threshold configuration, and prior ability distribution on the accuracy of ability estimation given various IRT models. Item response data on 30 items from 1,000 examinees was simulated using known item parameters and ability estimates. The item response data sets were submitted to seven dichotomous or polytomous IRT models with different item parameterization to estimate examinee ability. The accuracy of the ability estimation for a given IRT model was assessed by the recovery rate and the root mean square errors. The results indicated that polytomous models produced more accurate ability estimates than the dichotomous models, under all combinations of research conditions, as indicated by higher recovery rates and lower root mean square errors. For the item parameterization models, the one-parameter model out-performed the two-parameter and three-parameter models under all research conditions. Among the polytomous models, the partial credit model had more accurate ability estimation than the other three polytomous models. The nominal categories model performed better than the general partial credit model and the multiple-choice model with the multiple-choice model the least accurate. The results further indicated that certain prior ability distributions had an effect on the accuracy ...

Description: Hill and Monticino (1998) introduced a constructive method for generating random probability measures with a prescribed mean or distribution on the mean. The method involves sequentially generating an array of barycenters that uniquely defines a probability measure. This work analyzes statistical properties of the measures generated by sequential barycenter array constructions. Specifically, this work addresses how changing the base measures of the construction affects the statististics of measures generated by the SBA construction. A relationship between statistics associated with a finite level version of the SBA construction and the full construction is developed. Monte Carlo statistical experiments are used to simulate the effect changing base measures has on the statistics associated with the finite level construction.

Description: Anything Like Us is a collection of poems with a critical introduction. In this introduction, I explore modern alternatives to Romantic and Neo-Romantic lyric expression. I conclude that a contemporary lyric that desires to be, in some fashion, about itself, must exhibit an acceptance of the mediating influences of time and language, while cultivating an inter-subjective point-of-view that does not insist too much on the authority of a single, coherent voice. The poems in Anything Like Us reflect, in both form and content, many of the conclusions advanced in the introduction. Nearly all the poems concern the desire for, and failure to find, meaningful connections in an uncertain world .

Description: This observational study involving intact groups and convenient sampling examined learning communities at four North Texas Community Colleges. The purpose of this study was to determine if there was a significant difference in cathectic learning climate, inimical ambiance, academic rigor, affiliation and structure among students in learning communities and freestanding classes. Learning communities are gaining nationwide popularity as instruments of reform in Higher Education. Recent studies have discussed the benefits of learning communities to student, faculty and institutions. As learning communities are gaining popularity, especially at the community college level, there is a need to determine if the learning communities are significantly different than freestanding classes. The College Classroom Environment Scales, developed by Winston, Vahala, Nichols, Gillis, Wintrow, and Rome (1989), was used as the survey instrument for this study. Using SPSS 10.1, a multivariate analysis of variance, (Hotelling's T2) was performed on five dependent variables: cathectic learning climate (CLC), inimical ambiance (IA), academic rigor (AR), affiliation (AF), and structure (ST), which yielded a significant difference. The independent variable was learning community compared to freestanding classes (group). Follow-up independent t tests were also conducted to evaluate the differences in the means between the two groups and to explore which dependent ...

Description: This study uses teacher employment data provided by the State Board for Educator Certification to examine the similarities and differences between initial employment and attrition rates of teachers trained in three prevalent types of Texas teacher preparation programs; alternative certification programs (ACP), the centers for professional development of teachers (CPDT), and traditional certification programs (TCP). The population for the study includes all Texas teachers who completed training in these programs in 1995, 1996, and 1997. The study found that ACP participants gain employment as Texas public school teachers at a significantly higher rate than their CPDT and TCP trained peers in year-one after completion of their training. However, ACP completers experience higher attrition rates in each of the subsequent years investigated. The study concludes that the overall cumulative attrition rate of new teachers trained in these programs is not as pronounced as originally presumed, but that low production levels cannot keep up with the growing demand for new teachers. Teacher preparation program leaders must seek ways to recruit and train more teachers.