Data analysis Data from LSLAs give governments evidence to address system inefficiencies by providing answers to key questions, such as who is learning what and who is not, where, when and why. Montoya, S. 2016. The Cost of Ignorance Revisited: A Reply. URL (Accessed June 2017 ). Learning achievement scores and information from the background questionnaires are generally used by experts and researchers to describe the knowledge and skills of a target population. This involves several types of analyses. First, understanding the factors that influence learning achievement (e.g. home and school context and practices), and if these are changing over time. Second, identifying general trends in learning achievements and evaluating progress towards specific targets using a set of indicators. Third, highlighting disparities in cognitive abilities among sub-populations of learners by relevant dimension, including socio-economic, regional, gender, migration status and mother tongue.
Data analysis Data from LSLAs give governments evidence to address system inefficiencies by providing answers to key questions, such as who is learning what and who is not, where, when and why. Montoya, S. 2016. The Cost of Ignorance Revisited: A Reply. (Accessed December 2020 ). Learning achievement scores and information from the background questionnaires are generally used by experts and researchers to describe the knowledge and skills of a target population. This involves several types of analyses. First, understanding the factors that influence learning achievement (e.g. home and school context and practices), and if these are changing over time. Second, identifying general trends in learning achievements and evaluating progress towards specific targets using a set of indicators. Third, highlighting disparities in cognitive abilities among sub-populations of learners by relevant dimension, including socio-economic, regional, gender, migration status and mother tongue.
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(Accessed December 2020