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initial version
Kristof gravatar image

Measure access rates and location of water services

We have to measure the level of access to sanitation service in Bangladesh. There are enough sampling strategies to estimate the access level and with a good sample frame these are relative low even considering the high rate of of
homogeneity in the different clusters. However the sample-size needs to be significantly increased if we want to use disaggregate to pinpoint geographically where the problems are and even then the areas remain large. Is there a sampling strategy that can locate problem areas without dramatically increase the sampling sizes and hence the cost of the survey?

click to hide/show revision 2
No.2 Revision

Measure access rates and location of water sanitation services

We have to measure the level of access to sanitation service in Bangladesh. There are enough sampling strategies to estimate the access level and with a good sample frame these are relative low even considering the high rate of of
homogeneity in the different clusters. However the sample-size needs to be significantly increased if we want to use disaggregate to pinpoint geographically where the problems are and even then the areas remain large. Is there a sampling strategy that can locate problem areas without dramatically increase the sampling sizes and hence the cost of the survey?

click to hide/show revision 3
retagged
KnowledgePointAdmin gravatar image
RedR CCDRR

Measure access rates and location of sanitation services

We have to measure the level of access to sanitation service in Bangladesh. There are enough sampling strategies to estimate the access level and with a good sample frame these are relative low even considering the high rate of of
homogeneity in the different clusters. However the sample-size needs to be significantly increased if we want to use disaggregate to pinpoint geographically where the problems are and even then the areas remain large. Is there a sampling strategy that can locate problem areas without dramatically increase the sampling sizes and hence the cost of the survey?

click to hide/show revision 4
requalifié
KnowledgePointAdmin gravatar image
RedR CCDRR

Measure access rates and location of sanitation services

We have to measure the level of access to sanitation service in Bangladesh. There are enough sampling strategies to estimate the access level and with a good sample frame these are relative low even considering the high rate of of
homogeneity in the different clusters. However the sample-size needs to be significantly increased if we want to use disaggregate to pinpoint geographically where the problems are and even then the areas remain large. Is there a sampling strategy that can locate problem areas without dramatically increase the sampling sizes and hence the cost of the survey?

click to hide/show revision 5
requalifié
KnowledgePointAdmin gravatar image
RedR CCDRR

Measure access rates and location of sanitation services

We have to measure the level of access to sanitation service in Bangladesh. There are enough sampling strategies to estimate the access level and with a good sample frame these are relative low even considering the high rate of of
homogeneity in the different clusters. However the sample-size needs to be significantly increased if we want to use disaggregate to pinpoint geographically where the problems are and even then the areas remain large. Is there a sampling strategy that can locate problem areas without dramatically increase the sampling sizes and hence the cost of the survey?

click to hide/show revision 6
retagged
KnowledgePointAdmin gravatar image
RedR CCDRR

Measure access rates and location of sanitation services

We have to measure the level of access to sanitation service in Bangladesh. There are enough sampling strategies to estimate the access level and with a good sample frame these are relative low even considering the high rate of of
homogeneity in the different clusters. However the sample-size needs to be significantly increased if we want to use disaggregate to pinpoint geographically where the problems are and even then the areas remain large. Is there a sampling strategy that can locate problem areas without dramatically increase the sampling sizes and hence the cost of the survey?