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Last Published November 21, 2017 09:09 PM June 18, 2018 07:33 AM
Sample size (or number of clusters) by treatment arms 60 villages in treatment groups, 30 villages in control group 60 villages in treatment groups, 30 villages in control group. The 60 villages are further randomized into four groups (15 villages in each) for intensity of interventions (10, 20, 30 and 40 households). These treatment households are randomly selected from the eligible households (53 on average per village)
Power calculation: Minimum Detectable Effect Size for Main Outcomes There are two levels of power calculation. Firstly, using village level randomization, we estimate the direct effects (on treatment households in treatment villages) and spillover effects (on control households in treatment village) against the control villages. Using 90 clusters, of which 2/3 treatment, with 18 households per cluster, the standardized MDE is 0.2 (at 80% power, 5% level of significance and 0.1 ICC). This 0.2 is a conservative estimate as it does not account for the larger number of households in control villages and baseline correlation of the outcomes. Secondly, at the individual level randomization (i.e. comparing treatment and control households in treatment villages), the MDE is much lower. For example, with 2700 households from the treatment villages (assuming 10% attrition from the intended 50 HH per cluster) divided into a treatment and control, the MDE for binary outcomes is 0.03 if the control group proportion is 0.1 (e.g. TCB use) to 0.054 if the control group proportion is 0.5 (e.g. fertilizer use for banana). For the goal setting component, which is randomized at household level, these MDEs are 0.046 and 0.076 respectively (with 1350 HHs in treatment and control groups).
Secondary Outcomes (End Points) In addition to these 6 outcome classes, we will look into several set of indicators to explore possible mechanisms of change and for spillover effects - Assess the outcome class 3 for other major crops as spillover effects on general farming practices. - General farming practices on using hybrid seeds, fertilizer and irrigation in the last one year. These are variables from Section 7 of the questionnaire, and are not asked for specific crops. - Total outstanding loans and use of borrowed money for covering cost of banana cultivation In addition to these 6 outcome classes, we will look into several set of indicators to explore possible mechanisms of change and for spillover effects - Assess the outcome class 3 for other major crops as spillover effects on general farming practices. - General farming practices on using hybrid seeds, fertilizer and irrigation in the last one year. These are variables from Section 7 of the questionnaire, and are not asked for specific crops. - Total outstanding loans and use of borrowed money for covering cost of banana cultivation For the endline, the study is also collecting data on three additional modules as secondary outcomes. These are - Locus of control (10 item LOC module) - Time preference (preference from hypothetical payment options with different interest rates at present vs. 3 months/4 months/15 months in future) - Risk preference (preference from 6 options of increasing risk and expected pay-offs)
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