<P> Quantitative data is useful when hard data is needed, such as addressing policy issues, when hard data is needed to convince people unfamiliar with the topics . However, quantitative research can reinforce gender and cultural assumptions as well through item construction . That is, for data to be quantitatively analysed, they must fit into specific categories . However, such categories can be based on or at least influenced by gender stereotypes . </P> <Table> <Tr> <Td> </Td> <Td> The examples and perspective in this section may not represent a worldwide view of the subject . You may improve this article, discuss the issue on the talk page . (June 2016) (Learn how and when to remove this template message) </Td> </Tr> </Table> <Tr> <Td> </Td> <Td> The examples and perspective in this section may not represent a worldwide view of the subject . You may improve this article, discuss the issue on the talk page . (June 2016) (Learn how and when to remove this template message) </Td> </Tr> <Table> <Tr> <Td> </Td> <Td> This section needs additional citations for verification . Please help improve this article by adding citations to reliable sources . Unsourced material may be challenged and removed . (June 2016) (Learn how and when to remove this template message) </Td> </Tr> </Table>

Place of male and female in social construction