title: Qualitative to quantitative: linked trajectory of method triangulation in a study on HIV/AIDS in Goa, India.
abstract: With 3.1 million people estimated to be living with HIV/AIDS in India and 39.5 million people globally, the epidemic has posed academics the challenge of identifying behaviours and their underlying beliefs in the effort to reduce the risk of HIV transmission. The Health Belief Model (HBM) is frequently used to identify risk behaviours and adherence behaviour in the field of HIV/AIDS. Risk behaviour studies that apply HBM have been largely quantitative and use of qualitative methodology is rare. The marriage of qualitative and quantitative methods has never been easy. The challenge is in triangulating the methods. Method triangulation has been largely used to combine insights from the qualitative and quantitative methods but not to link both the methods. In this paper we suggest a linked trajectory of method triangulation (LTMT). The linked trajectory aims to first gather individual level information through in-depth interviews and then to present the information as vignettes in focus group discussions. We thus validate information obtained from in-depth interviews and gather emic concepts that arise from the interaction. We thus capture both the interpretation and the interaction angles of the qualitative method. Further, using the qualitative information gained, a survey is designed. In doing so, the survey questions are grounded and contextualized. We employed this linked trajectory of method triangulation in a study on the risk assessment of HIV/AIDS among migrant and mobile men. Fieldwork was carried out in Goa, India. Data come from two waves of studies, first an explorative qualitative study (2003), second a larger study (2004-2005), including in-depth interviews (25), focus group discussions (21) and a survey (n=1259). By employing the qualitative to quantitative LTMT we can not only contextualize the existing concepts of the HBM, but also validate new concepts and identify new risk groups.
authors.affiliation: University of Groningen, Population Research Centre, Faculty of Spatial Sciences, Groningen, The Netherlands. A.Bailey@rug.nl
authors.forename: Ajay
authors.initials: A
authors.lastname: Bailey
authors.forename: Inge
authors.initials: I
authors.lastname: Hutter
mesh_terms: D015982:Bias; D017280:Condoms / Q000706:statistics & numerical data; D005260:Female; D017144:Focus Groups; D015658:HIV Infections / Q000517:prevention & control / Q000523:psychology* / Q000635:transmission; D015497:HIV-1; D007722:Health Knowledge, Attitudes, Practice; D006801:Humans; D007194:India; D008297:Male; D036301:Qualitative Research; D012107:Research Design; D040242:Risk Reduction Behavior; D014171:Transients and Migrants; D047568:Unsafe Sex