2010
DOI: 10.1007/s11077-010-9111-5
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Deadly divide: Malawi’s policy debate on HIV/AIDS and condoms

Abstract: Condoms, HIV/AIDS, Malawi, Science, Content analysis, Policy sciences, National Assembly,

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Cited by 10 publications
(7 citation statements)
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References 37 publications
(39 reference statements)
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“…An effective content analysis depends on the ability to identify these policy claims and supporting data. Similar to previous research, we paid attention to connecting words such as “hence”, “thus” and “because” in identifying policy claims and substance (Mkandawire et al, 2011). …”
Section: Methodsmentioning
confidence: 99%
See 3 more Smart Citations
“…An effective content analysis depends on the ability to identify these policy claims and supporting data. Similar to previous research, we paid attention to connecting words such as “hence”, “thus” and “because” in identifying policy claims and substance (Mkandawire et al, 2011). …”
Section: Methodsmentioning
confidence: 99%
“…Manual content analysis involves scrutinising all material text containing claims and counterclaims relating to the topic of interest (Mkandawire, Luginaah, & Bezner-Kerr, 2011). Policy debate typically comprises a claim and supporting data, which is either explicit or implicit (Howland et al, 2006).…”
Section: Methodsmentioning
confidence: 99%
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“…Howland, Larsen, and Prelli (2006) described content analysis as a methodology for data collection and analysis of the rhetorical landscape of policy formation, which allows the policy scientist to describe the social processes surrounding public policy debate. Howland, Larsen, and Prelli's (2006) framework is versatile in that while it was originally developed to analyse the Montreal Protocol ozone treaty, other researchers have also adapted it in a varied range of environmental and social contexts; examples include Bengston et al (2009) andMkandawire, Luginaah, andBezner-Kerr (2011). As a method for gathering and analysing text, content analysis has been known to both create new knowledge and directly influence social policy (Neuman and Robson 2008;Hesse-Biber, Nagy and Leavy 2004;Laswell 1971).…”
Section: Content Analysismentioning
confidence: 99%