We opposed the SS area study which have study out-of low-intervention communities

We opposed the SS area study which have study out-of low-intervention communities

In-breadth interviews (IDI)

Twenty towns in which SS ended up being conducted were picked randomly out-of an entire selection of 200 towns in which education had occurred anywhere between , we.age. 1-3 years until the questionnaire. Off all these 20 SS villages, we picked that past trainee having a partial-organized, in-breadth interviews. Half was basically chosen at random out of an inventory made by KHPT professionals of individuals just who it team imagine had benefited of training: additional half of was indeed picked at random in the larger number of trainees. Each one of the selected SS students was also questioned to recognize anybody you like having interviews, some one having just who it mutual a close matchmaking. They were not told of one’s cause for the fresh new interviews. The fresh new interviews was indeed used throughout the local vernacular from the interviewers coached into the partial-prepared choosing. Concerns integrated their point of views on SS knowledge, secret education attained and you will mutual, point of views toward private attitudinal and you may behavioral transform, and you will opinions towards change attributable to SS, among their family relations plus town. All the IDI transcripts was in fact assessed yourself to have repeated themes and you can suggestions.

Polling Unit Studies (PBS)

Polling Booth Surveys (PBS) have been used by KHPT and others to obtain information on delicate subjects such femmes latines célibataires à chicago sur les sites de rencontres as sexual practices; the methodology has been reported elsewhere . In summary, participants are interviewed in a group, though each person is behind a polling booth-type screen. The PBS sessions were conducted by trained PBS facilitators in the local vernacular in 40 villages: 20 where SS had been conducted in 2005, and 20 where no such training had been done. First we divided each village into 6 segments and randomly assigned each segment to one of the following 6 groups (unmarried women and unmarried men, younger married women and men, older married women and men). In each segment, one house was selected at random as a “starter” house. In this home, we listed all members of the household. If any person satisfied the criteria for inclusion, we requested their participation (if there was more than one such person in the house, we selected one at random). Then working to the left, we followed the same procedure in each house until we had invited 12 people in the appropriate group, giving an approximate total invited sample of 1440 respondents in the 20 SS villages and 1440 in the 20 non-SS villages. We were able to poll 1196 respondents in SS villages (83% response) and 1297 (90% response) in other villages, with a combined sample of 2493 (87% response). In addition, as many SS trainees as possible from the 20 Stepping Stones villages, were convenience-sampled to participate in a separate PBS session. In all 414 former trainees were sampled. Questions were a mixture of ones used in previous KHPT PBS and some were taken from the GEM Scale . The questions focused on knowledge, attitude and behaviour and involved yes/no or don’t know/not applicable responses. The knowledge and attitude questions were the same for all groups, but the behaviour questions differed according to what was appropriate for the specific group. All PBS data were entered into Excel spreadsheets and differences between groups were calculated using a chi-squared test. Preliminary analysis found that the general population samples were very similar; however the SS group profile was different to that of the general population samples (p < 0.01, Table 1), so the data from the SS trainee group were adjusted directly, using the stratum-specific denominator of the SS general population group as the standard population. Differences between groups were then calculated in STATA version 10 (STATA Corporation, USA) and p values calculated using a z-test (test of equality between proportions).

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