A preliminary set of analyses was conducted linking students to courses and courses to teachers based upon data collected by the Louisiana Department of Education's Divisions of Planning, Analysis, and Information Resources and Student Standards and Assessments. An analysis of covariance, a weighted analysis of covariance, and a hierarchical linear model (HLM) approach were examined across English-language arts and mathematics. These models examined changes in student achievement status nested within teachers' classrooms after controlling for prior achievement, demographic factors, and classroom context factors. These analyses were completed based upon the 10 parish school systems that participated in a pilot project collecting data regarding student course enrollment. Data from approximately 40,000 students in grades 4 through 9 and more than 1000 teachers in each content area from these parishes contributed to these analyses. Results suggested that the strongest predictor of current achievement is prior achievement and that demographic factors are decreasingly important as more years of achievement data were available as predictors. Statistically significant differences were obtained and they typically, but not always, favored experienced teachers over new teachers. Based upon previous work in this area the effects found in this study are likely to be a lower bound for the magnitude of the effects. When data are available to link students to teachers across more than one school year it is anticipated that the size of the effects are likely to increase. The hierarchical linear models approach appears to be the most flexible and appropriate to this type of assessment. Previous research suggests that the current analyses may underestimate the magnitude of teacher effects. This suggests the need for additional longitudinal analyses that can match students to teachers across more than one school year to obtain a more accurate estimate of the size of these effect A number of issues remain to be resolved in future work. First, an "a priori" model for assessing teacher preparation programs may be desirable. Second, structures for integrating students enrolled in multiple courses in the same content need to be explored. This is a particularly pressing need for students in special education. Third, some additional investigation into the extent that students' assignment to teachers changes during the course of a year within schools appears to be needed to address a potential confound of the data. Fourth, all of the data examined herein were based upon relative comparisons within the State. An assessment program that can link State data to national benchmarks would be particularly useful. Finally, if a true statewide assessment system similar to this pilot were to be adopted, the practical considerations for data management, data analysis, and communication to stakeholders would be substantial. (Contains 11 tables.) [The work presented in this document was supported in part by an award from the Louisiana Board of Regents through the Center for Innovative Teaching and Learning (CITAL). Cover title varies. This report represents the author's Year One (2003-04) technical report on the "Value-Added Teacher Preparation Program Assessment Model." For the author's Year Two (2004-05) technical report on the Model, see ED492993.]