Testpage 2209 - Revision history

J Odhong at 10:48, 23 September 2021

2021-09-23T10:48:04Z

2021-09-22T14:37:33Z

2021-09-22T14:32:43Z

2021-09-22T13:11:39Z

Created page with "This is a test page"

New page

This is a test page

← Older revision		Revision as of 10:48, 23 September 2021
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	Second edit: On Safari.		Second edit: On Safari.
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		+	<span>The DQA reviewed a total of five researchers' registry books through their -lead farmers across all four districts in ten villages and two development partners to rapidly verify source data against the data reported in BTTT for 2020.</span>
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		+	<span>The general observation made from the observed data sources and those reported in the BTTT was that data sources were missing in some villager to a particular Lead Farmer. Missing source document affects reports that may have been produced because it indicated that the number reported in the village might be wrong or ghost numbers. Likewise, available source data in some villages were either complete for all beneficiaries. The other was incomplete(not correctly indicating whether names registered belong to AR, a particular researcher or not). Therefore, the registry books to each lead farmer that records the participation of beneficiaries were used exclusively as the paper reporting data source for this activity. A proportional or variance of reported against recounted numbers of 0% represents the highest possible quality score. Quality decreases as the numeric value veers away from 0%, either higher or lower, until data quality is considered flawed when the error margin veers away from +-5%.</span>
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		+	<span>Second edit: On Safari.</span>

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 This is a test page
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 The DQA reviewed a total of five researchers' registry books through their -lead farmers across all four districts in ten villages and two development partners to rapidly verify source data against the data reported in BTTT for 2020.
 The general observation made from the observed data sources and those reported in the BTTT was that data sources were missing in some villager to a particular Lead Farmer. Missing source document affects reports that may have been produced because it indicated that the number reported in the village might be wrong or ghost numbers. Likewise, available source data in some villages were either complete for all beneficiaries. The other was incomplete(not correctly indicating whether names registered belong to AR, a particular researcher or not). Therefore, the registry books to each lead farmer that records the participation of beneficiaries were used exclusively as the paper reporting data source for this activity. A proportional or variance of reported against recounted numbers of 0% represents the highest possible quality score. Quality decreases as the numeric value veers away from 0%, either higher or lower, until data quality is considered flawed when the error margin veers away from +-5%.

← Older revision		Revision as of 14:32, 22 September 2021
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	This is a test page		This is a test page
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		+	The DQA reviewed a total of five researchers' registry books through their -lead farmers across all four districts in ten villages and two development partners to rapidly verify source data against the data reported in BTTT for 2020.
		+
		+	The general observation made from the observed data sources and those reported in the BTTT was that data sources were missing in some villager to a particular Lead Farmer. Missing source document affects reports that may have been produced because it indicated that the number reported in the village might be wrong or ghost numbers. Likewise, available source data in some villages were either complete for all beneficiaries. The other was incomplete(not correctly indicating whether names registered belong to AR, a particular researcher or not). Therefore, the registry books to each lead farmer that records the participation of beneficiaries were used exclusively as the paper reporting data source for this activity. A proportional or variance of reported against recounted numbers of 0% represents the highest possible quality score. Quality decreases as the numeric value veers away from 0%, either higher or lower, until data quality is considered flawed when the error margin veers away from +-5%.