Supporting
Statement A
|
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?
|
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.
|
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.
|
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.
|
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.
|
4
|
It
is not discussed how the sampling frame for the SNAP participants
will be placed into the 6 clusters.
|
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.
|
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?
|
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.
|