High school science classes that are taught by a highly qualified teacher in California

Definitions: Includes the percentage of secondary science courses taught by a “Highly Qualified Teacher” (HQT). The federal definition of a “Highly Qualified Teacher” is threefold: teachers must (1) hold at least a bachelor’s degree, (2) be appropriately licensed by the state and (3) demonstrate subject matter competency.

Data Source: Children Now analysis of No Child Left Behind (NCLB) Core and Compliant Classes by Subject Area, 2008-09 and 2011-12, from California Department of Education, DataQuest, (May 2014).

Footnotes: Data for 2009-10 not available.

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.

Definitions: Includes the percentage of secondary science courses taught by a “Highly Qualified Teacher” (HQT). The federal definition of a “Highly Qualified Teacher” is threefold: teachers must (1) hold at least a bachelor’s degree, (2) be appropriately licensed by the state and (3) demonstrate subject matter competency.

Data Source: Children Now analysis of No Child Left Behind (NCLB) Core and Compliant Classes by Subject Area, 2008-09 and 2011-12, from California Department of Education, DataQuest, (May 2014).

Footnotes: Data for 2009-10 not available.

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.