Ethiopia lighting VPA-SSC-DD - MyClimate

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SMALL-SCALE VOLUNTARY PROGRAMME ACTIVITY DESIGN DOCUMENT FORM (Voluntary-SSC-VPA-DD) - Version 01 NAME /TITLE OF THE VPoA: Solar Lighting in Rural Ethiopia VPoA be conducted to identify SHSs that are installed and LEDs operational. 2 Target Population and Sampling Frame This template shall not be altered. It shall be completed without modifying/adding headings or logo, format or font. page 22 The target population are households participating in the VPA that use SHSs for lighting purposes. The Sample frame is a listing of all Solar Centres (clusters) to which the households are linked to according to the sales records and database entries. 3 Sample Method A multi-stage-sampling method, with an element of stratification, is applied. Clusters: The population of households are to be sub-divided geographically, according to the Solar Center they belong to. Hence, each Solar Center is to represent a cluster. Clusters shall be randomly selected for the identification of Sample Groups. The number of clusters depends on when the required amount of households within a Sample Group is reached. For example, if after random sampling within two clusters the Sample Group for Sun Transfer 10 does not reach the required sampling number of 150 households, then a third cluster is being added to the Sample database. Sample Groups: For the monitoring period v Sample Groups for each type of SHS shall be identified by using random sampling. Thus, in total, there are to be 4 Sample Groups selected. Sample Lists: The data sets for each sample group are randomly ordered resulting in a numbered list of SHSs, and corresponding lamps, identified. The list provides a binding order in which the monitoring team shall interview households from the sample group until a minimum number of 100 households has been contacted. Thus, in total there will be four Sample Lists corresponding to the four Sample Groups. 4 Desired Precision/Expected Variance and Sample Size According to AMS II.J., which refers to an applicable sample size (unlike AMS-I.A)., the sampling size is determined by minimum 90% confidence interval and the 10% maximum error margin; the size of the sample shall be no less than 100 for each Sample Group. However, the Sample Groups selected for the project will have a size of 150 households to ensure that there are sufficient households on the list to reach the target of 100 interviews. The minimum sample size is computed using the following formula 3 ni = (sample size to estimate π) 2 ( ) Where, z = 1.645 for a confidence level of 90% E = 0.1 for a 10% error margin = 0.5 for a conservative of sample size considering 50%. The proportion will be adjusted in subsequent monitoring periods based on the findings of the 1st monitoring period. 3 Doane, 2011; Applied Statistics in Business and Economics, p.329/330
SMALL-SCALE VOLUNTARY PROGRAMME ACTIVITY DESIGN DOCUMENT FORM (Voluntary-SSC-VPA-DD) - Version 01 NAME /TITLE OF THE VPoA: Solar Lighting in Rural Ethiopia VPoA This template shall not be altered. It shall be completed without modifying/adding headings or logo, format or font. page 23 To identify those systems which are still operating, considering the methodological requirements, a minimum of 100 households will be sampled for each type of SHS. However, if within a Sample Group of 100 households, the 90/10 confidence/precision cannot be fulfilled; more households will be interviewed until the required confidence level has been achieved. As mentioned above, to guarantee the minimum sample size of 100 households, each Sample Group will consist of 150 households. The rationale is that at some households it might not be possible to contact a household at the time the monitoring team wants to interview the household. In this event the next household on the list “substitutes” the household that could not be duly contacted. As a Sample List is a random order of the Sample Group which has a size of at least 150 households it is guaranteed that there are sufficient households on the list to reach the target of 100 interviews. As mentioned above, the data sets for each sample group are randomly ordered resulting in a numbered list of SHSs. The list provides a binding order in which the monitoring team shall interview households from the sample group until a minimum number of 100 households has been contacted. 5 Procedures for Administering Data Collection and Minimizing Non-Sampling Errors. A dedicated monitoring team will interview the households of the Sample Groups one by one according to the order in the Sample Lists. The monitoring will consist of interviews. The interviews will result in filling in a questionnaire. The final design of the questionnaire will be similar to the one that can be found in Annex 5 During this check the following scenarios may apply: (a) If the specific solar system is found to be working at the specific household it will count as “operational”; if all of the provided LEDs of the specific solar system are not working it will count as “not operational”; (b) If a part of the provided LEDs of the specific solar system is not working (e.g. 1 LED out of the provided 4 LEDs in a ST10 solar system), the project will be classified as ‘partly operational’. Consequently, the number of “working” and non-working” LEDs have to be recorded. (c) If the household contact data has changed but the lamp can be found at another site the following procedure will apply: The name/address details in the data base will be updated and steps a) and b) are conducted. (d) If a household can (1) not be found according to the contact data from the Sample List, (2) could not be contacted due to temporary absence of all household members over age 12 or (3) it is found that the data was erroneous the household is skipped. In case (1), (2) or (3) the household is deleted from the Sample Database from which it originated. (e) If a household is found to be located outside the project boundary, the respective SHSs shall count as non-operational. Checks are conducted until at least the target number of 100 filled in questionnaires is achieved. All questionnaires and information gathered during the sampling by the monitoring team are handed over to the SEF who takes care of entering the information to the central database and updating the Sample Database where appropriate. Response rates will be maximized by the involvement of sampling team and its supervisor. Solar technicians are part of the sampling team. Through their frequent visits to the villages, as they are responsible installation, operation and maintenance, they have good relationships with project beneficiaries that should maximize response rates. In addition, response rates will be
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