Center for Educational Partnerships, University of California, Merced

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Data Analysis and Evaluation Program Overview

In 2003, the Center for Educational Partnerships established the Data Analysis and Evaluation Program. As a service provider to K-12 partners, UC Merced conducts research for schools throughout the Central San Joaquin Valley focusing on state-mandated standardized tests. This research provides school partners with detailed analyses for section tested on a variety of state-standardized tests, including the California Standards Test (CST), California High School Exit Exam (CAHSEE), and California English Language Development Test (CELDT).

A multiple regression model is used to include all exam sections in a multi-variate analysis that gives direct measures of the chances of passing or scoring higher on each exam for each additional correct answer in each section. This model also indicates the relative strength of all exam sections for each standardized test. Furthermore, diagnostic data is provided to schools that allow them to sort and analyze data by groups of students or individual students. Schools can use these research findings to conduct targeted interventions in the classroom that help students master tested subject matters. A correlation analysis is also performed with each of these tests and the school’s college preparatory course completion data.

The Data Analysis and Evaluation Program identifies students’ areas/strands of strengths and weaknesses by looking at individual exam sections. In addition, data is disaggregated by student characteristics, including English Language Learning (ELL) status, proficiency status, Migrant Education Program status, gender, grade level and ethnicity. Finally, data is disaggregated by test administration in order to analyze student performance patterns over time to determine whether performance has changed from one test to another. When completed, schools can better decide on strategies to improve overall test scores for all students. Additionally, the Center for Educational Partnerships examines the association between each standardized test and grade point average patterns. This analysis can reveal the relationship of school curriculum, state mandated tests and standards alignment.

The Data Analysis and Evaluation Program also provides longitudinal analyses across and within student cohorts. Through analyses across cohorts, different students are compared across school years to determine whether their scores have increased or decreased. When longitudinal analysis is performed within cohorts, the same students across different time periods are compared to determine if they have shown improvements on the same tests.

To date, the Data Analysis and Evaluation Program has performed these services for 25 schools/school districts throughout the Central Valley.