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				Supporting
				Statement A | 
		
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				1 | 
				There
				appears to be three separate places that the information for the
				study will be obtained from. The first is from the SNAP
				participants, the second are the FINI Grantees, and the third are
				the retail outlets. 
 The
				universe for the areas in which the data are to be collected
				seems defined. However, it is unclear where all the data will be
				obtained. For the SNAP participants will the data be coming just
				from the administrative data files from the state agencies? For
				the grantees and the outlets where is all the data to be included
				in the sample going to be obtained from? 
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				We
				will construct the sampling frame for the SNAP participants using
				the following four data sources:  (1)
				SNAP administrative data from the State agencies, which includes
				SNAP household records with contact information, SNAP status and
				benefit, and basic demographic information;  (2) ALERT data from
				FNS, which includes the SNAP participants’ transaction
				records that can be matched to the SNAP participant records by
				EBT card number, and to the outlet records by FNS number, (3)
				STARS data from FNS, which includes a list of SNAP authorized
				farmers markets and grocers with store type, status, and
				geographic information, etc., and can be matched to the outlet
				records by FNS number; and (4) outlet information from the FINI
				grantees for the FINI outlets. | 
		
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				2 | 
				The
				cluster division is talked about how it will apply to the SNAP
				participants but not with the grantees and outlet. | 
				Characteristics
				of the outlets will drive the formation of the clusters.  Using a
				combination of outlet type (i.e., farmers markets/farm stands and
				grocery stores) and incentive match rate, we will create four
				unique intervention outlet clusters.  Comparison clusters will be
				defined by outlet type only 1) farmers markets and farm stands;
				and 2) grocery stores. | 
		
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				3 | 
				Will
				the same sample design be applied to all the separate areas in
				which the data will be collected? The specific sampling methods
				used to select the samples should be included in the
				documentation as well. 
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				We
				will select a sample of SNAP participants from each frame using a
				same sampling method. That is, before the sample selection, the
				SNAP participant records on the frame will be sorted by State,
				urbanicity, and outlet ID, and then, from the sorted frame, a
				SNAP participant sample will be selected with equal probability
				systematic sampling method. 
				 
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				4 | 
				It
				is not discussed how the sampling frame for the SNAP participants
				will be placed into the 6 clusters. 
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				By
				linking the data sources (described in the response to question
				1) and by using geocoding, a list of SNAP participants living
				within an outlet’s catchment area can be established for
				each of the intervention and comparison clusters. Sampling frames
				for each of the 6 clusters--based on outlet type and incentive
				ratio match amount--will be determined as follows: 
 Treatment
				clusters: we will geocode FINI outlets and SNAP households. Next,
				we will compute distance between SNAP households and the FINI
				outlets.  The sampling frame will include all SNAP households
				within a 2-mile radius (8 miles for rural outlets) of the FINI
				outlet.  
				 
 Comparison
				clusters: Using data matching procedures (such as propensity
				scores), we will match similar SNAP households who live near
				similar non-FINI farmers markets/farm stands or grocery stores
				using data from the STARS database.  We will geocode the SNAP
				households and compute distance between SNAP households and
				non-FINI outlets.  The sampling frame will include all SNAP
				households within 2 miles in urban areas (and 8 miles in rural
				areas) from the nearest non-FINI retailer. 
				 
 For
				both treatment and comparison clusters, we will divide the
				sampling frame using EBT transaction data contained in the ALERT
				database.  SNAP households with transactions in the FINI outlets
				and selected non-FINI outlets will be considered shoppers and
				those with no EBT transactions at the stores will be considered
				nonshoppers. | 
		
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				5 | 
				The
				clusters in which the study is divided into is based on the
				business while the participants will be people/households. In a
				specific area/neighborhood isn’t there the possibility of
				the different cluster businesses in the same area of the
				participants? In other words couldn’t a SNAP participant
				shop at a farmers market as well as a grocery store? 
				 
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				There
				is a possibility that some catchment areas may overlap with each
				other, especially in densely populated areas or States.  In these
				instances, it is likely that a SNAP participant shops (i.e., has
				EBT transactions) at more than one FINI and/or selected non-FINI
				outlet. To address this potential issue, we will have a reviewing
				step in the frame construction process to see if there are any
				outlets that are close to each other and will result in an
				overlap. If such cases are identified, we will do a random
				selection among the overlapped catchment areas to keep only one
				in the frame. 
				 
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