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pdfAPPENDIX C7: EXAMPLE OF MEAL TRANSACTION SAMPLING
Sampling Meal Transactions
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# of Observers: 1
Lunch
Breakfast
Serving
Location
#
Approx # of
Children
Periods Available
Ave Trans
per Period
Serving
Location
#
Ave Trans
per Period
1
1
2
3
4
5
6
25
12
1
1
2
3
4
5
6
30
10
2
1
2
3
4
5
6
25
12
2
1
2
3
4
5
6
30
10
3
1
2
3
4
5
6
3
1
2
3
4
5
6
30
10
4
1
2
3
4
5
6
4
1
2
3
4
5
6
5
1
2
3
4
5
6
6
1
2
3
4
5
6
7
1
2
3
4
5
6
8
1
2
3
4
5
6
Randomize Observations
Reset & Clear Results
Location
2
2
Approx # of
Children
Periods Available
Breakfast
Period
1
2
Children to Observe
25
25
Start with
1
1
Frequency Location
1
1
1
1
1
Lunch
Period
1
2
3
Observer #
1
1
1
Children
to Observe
17
17
17
Start with
1
1
1
Frequency
1
1
1
The example above shows the sampling results for breakfast (2 periods, 2 serving locations, and 25 children for each) and lunch (3 periods, 3 serving
locations, and 30 children for each). For EPICCS, there will typically be one observer/data collector. The data collecter would check the appropriate
boxes to indicate the number of meal periods, and enter the approximate number of children for each location/period. Next, the data collector clicks
'Randomize Observations'. The algorithm calculates and displays the results.
In this example, the data collector would observe serving location 2 during breakfast period 1 and serving location 2 during breakfast period 2. For
lunch, the observer would observe serving location 1 during each of the three periods.
For EPICCS, the data collector will observe all children, rather than a sample of children.
File Type | application/pdf |
Author | Steve Lehrfeld |
File Modified | 2016-06-09 |
File Created | 2016-03-17 |