Percentage of students who scored ‘proficient’ to ‘advanced’ on the 10th grade CST English test in California

Change Indicator

Percentage of students who scored ‘proficient’ to ‘advanced’ on the 10th grade CST English test

Data Provided By

Definitions: This indicator includes all students in 10th grade who scored at "Advanced" or "Proficient" on the English portion of the California Standards Test (CST) as a percentage of all test takers.

Data Source: Children Now analysis of California Department of Education 2013 Standardized Testing and Reporting (STAR).  For example, for 2012-13: California Department of Education, DataQuest, STAR test data by county. (Accessed July 1, 2015). Counties with fewer than 10 cases are not reported. The Standardized Testing and Reporting (STAR) program ended on July 1, 2013. The STAR program was replaced by the California Assessment of Student Performance and Progress (CAASPP) System. STAR test results and CAASPP results cannot be reliably compared because CAASPP evaluates new standards that emphasize analytical thinking, problem solving and communications skills.

Footnotes: The Standardized Testing and Reporting (STAR) Program is designed primarily to help measure how well students are achieving the California content standards and to provide information about how well schools and school districts are meeting state and federal accountability requirements. The California Standards Test (CST) is one of the STAR Program's six components. Low Number Event (LNE): Data not reported when fewer than 10 cases exist or when applicable % is based on fewer than 10 observations.

Asterisks* An asterisk indicates that data should be interpreted with caution. Asterisks were used to note low number of events (fewer than 10) or unstable data with large confidence intervals. Data or estimates with low numbers and large confidence intervals indicate that a data point may not be a true representation of the larger population. NA (Not Available) Data that are not available are noted as NA. The most frequent reasons for using the NA annotation include the unavailability of longitudinal data, data suppression from the original data source due to a low number event, or statistically unstable estimates.