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Nutrition Delivery

Monitoring and Evaluation 2 Outcome Calculator

Introduction
This tool tracks monitoring and evaluation indicators for outcome uris. Up to 20 new M and E indicators can be added for each outcome.

Calculation View Description
v214a

Version: 2.0.4

Relations

Use In Childs?
Overwrite Childs?

Step 3 of 3. Save

Method 1. Do you wish to save step 2's calculations? These calculations are viewed by opening this particular calculator addin.

Step 1

• Step 1. Indicators: Enter up to 10 indicators.
• Step 1. Indicator Name and Description: Name and description for each indicator.
• Step 1. Indicator Date: Make sure that the benchmark, targets, actual, indicators have distinct dates.
• Step 1. Distribution Type: The numeric distribution of QT. Refer to the Stock Calculation 1 reference.
• Step 1. Math Expression:A mathematical expression containing one or more of the Q1 to Q5 variables and/or sibling indicator Q1 to QTM variables. Use strings that identify both the indicator (I1, I2, … In) and the Qx property (Q … QTM), with a period separator between them. Examples include:((I1.Q1 + I1.Q2) * I1.Q3) + I1.Q4)) - (2 * I1.Q5)
• Step 1. Math Operator Type: Mathematical operation to use with QT. MathTypes include: equalto, lessthan, greaterthan, lessthanorequalto, and greaterthanorequalto. Refer to the Stock Calculation 1 reference for the algorithms.
• Step 1. Math Type and Math Sub Type: Mathematical algorithm and subalgorithm to use with Distribution Type, QT, QTD1, and QTD2 to solve for QTM, QTL, and QTU. Refer to the Stock Calculation 1 reference for the algorithms.
• Step 1. QT Amount and Unit: The Unit must be manually entered. The Amount will be the result of the mathematical calculation.
• Step 1. QTD1 Amount and Unit: First distribution, or shape, parameter for QT.
• Step 1. QTD2 Amount and Unit: Second distribution, or scale, for QT.
• Step 1. BaseIO: Base input or output property to update with this indicator's QTM property.
• Step 1. QTM Amount and Unit: Most Likely Estimate for QT. The Unit must be manually entered. The Amount will be the result of the mathematical algorithm.
• Step 1. QTL Amount and Unit: Low Estimate or QT. The Unit must be manually entered. The Amount will be the result of the mathematical algorithm.
• Step 1. QTU Amount and Unit: High Estimate for QT. The Unit must be manually entered. The Amount will be the result of the mathematical algorithm.
• Step 1. Math Result: TEXT string holding results of calculation.

Step 2

• Step 2. Use Same Calculator Pack In Descendants?: True to insert or update this same calculator in children.
• Step 2. Overwrite Descendants?: True to insert or update all of the attributes of this same calculator in all children. False only updates children attributes that are controlled by the developer of this calculator (i.e. version, stylehsheet name, relatedcalculatorstype ...)
• Step 2. What If Tag Name: Instructional videos explaining the use of what-if scenario calculations should be viewed before changing or using this parameter.
• Step 2. Related Calculators Type: When the Use Same Calculator Pack in Descendant is true, uses this value to determine which descendant calculator to update. Inserts a new descendant when no descendant has this same name. Updates the descendant that has this same name.
• Step 2. Indicators: Enter up to 5 indicators.
• Step 2. Target Type: Used with Progress analyzers to identify benchmark and actual indicators.
• Step 2. Altern Type: Used with Change by Alternative analyzers to identify alternatives to compare.
• Step 2. Score Math Expression: A mathematical expression containing one or more of the children indicator Q1 to QTM variables. Use strings that identify both the indicator (I1, I2, … In) and the Qx property (Q … QTM), with a period separator between them. Examples include:((I1.QTM + I2.QTM) * I3.Q3) + I4.QTM)) - (2 * I5.QTM)
• Step 2. Score Total and Unit: The Unit must be manually entered. The Amount will be the result of the Math Expression calculation.
• Step 2. D1 Amount and Unit: First distribution variable for Score.
• Step 2. D2 Amount and Unit: Second distribution for Score.
• Step 2. Distribution Type: The numeric distribution of Score. Refer to the Stock Calculation 1 reference.
• Step 2. Math Type and Math Sub Type: Mathematical algorithm and subalgorithm to use with Distribution Type, Score, ScoreD1, and ScoreD2 to solve for ScoreM, ScoreL, and ScoreU. Refer to the Stock Calculation 1 reference for the algorithms.
• Step 2. Most Likely, Low, High, Amounts and Units: Results of Distribution Type and Math Type calculations.
• Step 2. Iterations: Number of iterations to use when drawing random number samples for some algorithms.
• Step 2. Confidence Interval: Level of confidence interval to use when reporting all Score and Indicator high and low amounts. Should be an integer such as 95, 90, or 40.
• Step 2. Random Seed: Any positive integer, except 0, will result in the same set of random variables being used each time a calculation is run.
• Step 2. BaseIO: Base input or output property to update with the Score Most Likely property.

References

• Refer to the M and E Introduction and Resource Stock Calculation references.

Current view of document
Nutrition Delivery
Outcome Group
Nutrition Delivery
Name (N) Label Date Rel Label Math Type Dist Type Base IO or Obs Math Operator Math Sub Type
Q1 Amount Q1 Unit Q2 Amount Q2 Unit Q3 Amount Q3 Unit Q4 Amount Q4 Unit Q5 Amount Q5 Unit
QT Amount QT Unit QT D1 Amount QT D2 Amount QT Most Amount QT Most Unit QT Low Amount QT Low Unit QT High Amount QT High Unit
Food Delivery Cost OC123 11/04/2016 OC123A algorithm1 normal none equalto subalgorithm1
4,600,000.0000 total cost 4,600,000.0000 1,100,000.0000 4,580,434.8348 total cost 4,518,159.6461 lower 80 % ci 4,642,710.0235 upper 80 % ci
(I1.QTM+I2.QTM+I3.QTM+I4.QTM)/100
Q1 families with no malnourishment OC123A 04/01/2013 none none none none equalto none
900.0000 families 100,000.0000 total families 0.0000 none 0.0000 none 0.0000 none
90,000,000.0000 total cost 0.0000 0.0000 90,000,000.0000 total cost 0.0000 none 0.0000 none
This indicator measures ...
I1.Q1*I1.Q2
Q2 families with no malnourishment OC123A 07/01/2013 none none none none equalto none
1,000.0000 families 100,000.0000 total families 0.0000 none 0.0000 none 0.0000 none
100,000,000.0000 total cost 0.0000 0.0000 100,000,000.0000 total cost 0.0000 none 0.0000 none
This indicator measures ...
I2.Q1*I2.Q2
Q3 families with no malnourishment OC123A 10/01/2013 none none none none equalto none
1,200.0000 families 100,000.0000 total families 0.0000 none 0.0000 none 0.0000 none
120,000,000.0000 total cost 0.0000 0.0000 120,000,000.0000 total cost 0.0000 none 0.0000 none
This indicator measures ...
I3.Q1*I3.Q2
Q4 families with no malnourishment OC123A 01/01/2014 none none none none equalto none
1,500.0000 families 100,000.0000 total families 0.0000 none 0.0000 none 0.0000 none
150,000,000.0000 total cost 0.0000 0.0000 150,000,000.0000 total cost 0.0000 none 0.0000 none
This indicator measures ...
I4.Q1*I4.Q2
Outcome
2012 Families no malnourished children
Name (N) Label Date Rel Label Math Type Dist Type Base IO or Obs Math Operator Math Sub Type
Q1 Amount Q1 Unit Q2 Amount Q2 Unit Q3 Amount Q3 Unit Q4 Amount Q4 Unit Q5 Amount Q5 Unit
QT Amount QT Unit QT D1 Amount QT D2 Amount QT Most Amount QT Most Unit QT Low Amount QT Low Unit QT High Amount QT High Unit
Food Delivery Cost OC123 11/04/2016 OC123A algorithm1 normal none equalto subalgorithm1
3,950,000.0000 total cost 4,000,000.0000 1,000,000.0000 3,982,213.4862 total cost 3,925,599.6783 lower 80 % ci 4,038,827.2941 upper 80 % ci
(I1.QTM+I2.QTM+I3.QTM+I4.QTM)/100
Q1 families with no malnourishment OC123A 04/01/2012 none none none none equalto none
800.0000 families 100,000.0000 total families 0.0000 none 0.0000 none 0.0000 none
80,000,000.0000 total cost 0.0000 0.0000 80,000,000.0000 total cost 0.0000 none 0.0000 none
This indicator measures ...
I1.Q1*I1.Q2
Q2 families with no malnourishment OC123A 07/01/2012 none none none none equalto none
900.0000 families 100,000.0000 total families 0.0000 none 0.0000 none 0.0000 none
90,000,000.0000 total cost 0.0000 0.0000 90,000,000.0000 total cost 0.0000 none 0.0000 none
This indicator measures ...
I2.Q1*I2.Q2
Q3 families with no malnourishment OC123A 10/01/2012 none none none none equalto none
750.0000 families 100,000.0000 total families 0.0000 none 0.0000 none 0.0000 none
75,000,000.0000 total cost 0.0000 0.0000 75,000,000.0000 total cost 0.0000 none 0.0000 none
This indicator measures ...
I3.Q1*I3.Q2
Q4 families with no malnourishment OC123A 01/01/2013 none none none none equalto none
1,500.0000 families 100,000.0000 total families 0.0000 none 0.0000 none 0.0000 none
150,000,000.0000 total cost 0.0000 0.0000 150,000,000.0000 total cost 0.0000 none 0.0000 none
This indicator measures ...
I4.Q1*I4.Q2
Output: 2012 Number of children examined for malnutrition, Project 01
Name (N) Label Date Rel Label Math Type Dist Type Base IO or Obs Math Operator Math Sub Type
Q1 Amount Q1 Unit Q2 Amount Q2 Unit Q3 Amount Q3 Unit Q4 Amount Q4 Unit Q5 Amount Q5 Unit
QT Amount QT Unit QT D1 Amount QT D2 Amount QT Most Amount QT Most Unit QT Low Amount QT Low Unit QT High Amount QT High Unit
Percent Children Examined MN101 11/04/2016 MN101 algorithm1 normal none equalto subalgorithm1
10.0000 percent children 10.0000 3.0000 10.1189 percent children 9.9443 lower 80 % ci 10.2935 upper 80 % ci
(I1.QTM+I2.QTM+I3.QTM+I4.QTM)*100
Planned Q1 Children Examined MN101A 04/01/2012 none none none none equalto none
2,500.0000 children 100,000.0000 children population 0.0000 none 0.0000 none 0.0000 none
0.0250 percent children 0.0000 0.0000 0.0250 0.0000 none 0.0000 none
This indicator tracks the number of children examined for malnourishment.200a
I1.Q1/I1.Q2
Planned Q2 Children Examined MN101A 07/01/2012 none none none none equalto none
2,500.0000 children 100,000.0000 children population 0.0000 none 0.0000 none 0.0000 none
0.0250 percent children 0.0000 0.0000 0.0250 percent children 0.0000 none 0.0000 none
This indicator tracks the number of children examined for malnourishment.
I2.Q1/I2.Q2
Planned Q3 Children Examined MN101A 10/01/2012 none none none none equalto none
2,500.0000 children 100,000.0000 children population 0.0000 none 0.0000 none 0.0000 none
0.0250 percent children 0.0000 0.0000 0.0250 percent children 0.0000 none 0.0000 none
This indicator tracks the number of children examined for malnourishment.
I3.Q1/I3.Q2
Planned Q4 Children Examined MN101A 01/01/2013 none none none none equalto none
2,500.0000 children 100,000.0000 children population 0.0000 none 0.0000 none 0.0000 none
0.0250 percent children 0.0000 0.0000 0.0250 percent children 0.0000 none 0.0000 none
This indicator tracks the number of children examined for malnourishment.
I4.Q1/I4.Q2
Output: 2012 Number of food nutrient packages distributed
Name (N) Label Date Rel Label Math Type Dist Type Base IO or Obs Math Operator Math Sub Type
Q1 Amount Q1 Unit Q2 Amount Q2 Unit Q3 Amount Q3 Unit Q4 Amount Q4 Unit Q5 Amount Q5 Unit
QT Amount QT Unit QT D1 Amount QT D2 Amount QT Most Amount QT Most Unit QT Low Amount QT Low Unit QT High Amount QT High Unit
Percent Families OUT100 11/04/2016 OUT100A algorithm1 normal none equalto subalgorithm1
60.0000 percent families 60.0000 20.0000 60.4418 percent families 59.2376 lower 80 % ci 61.6460 upper 80 % ci
(I1.QTM+I2.QTM+I3.QTM+I4.QTM)*100
Q1 Food Packages Delivered OUT100A 04/01/2012 none none none none equalto none
5,000.0000 families 100,000.0000 family population 0.0000 none 0.0000 none 0.0000 none
0.0500 percent families 0.0000 0.0000 0.0500 percent families 0.0000 none 0.0000 none
This indicator measures the number of food packages received by...
I1.Q1/I1.Q2
Q2 Food Packages Delivered OUT100A 07/01/2012 none none none none equalto none
10,000.0000 families 100,000.0000 family population 0.0000 none 0.0000 none 0.0000 none
0.1000 percent families 0.0000 0.0000 0.1000 percent families 0.0000 none 0.0000 none
This indicator measures the number of food packages received by...
I2.Q1/I2.Q2
Q3 Food Packages Delivered OUT100A 10/01/2012 none none none none equalto none
20,000.0000 families 100,000.0000 family population 0.0000 none 0.0000 none 0.0000 none
0.2000 percent families 0.0000 0.0000 0.2000 percent families 0.0000 none 0.0000 none
This indicator measures the number of food packages received by...
I3.Q1/I3.Q2
Q4 Food Packages Delivered OUT100A 01/01/2013 none none none none equalto none
25,000.0000 families 100,000.0000 family population 0.0000 none 0.0000 none 0.0000 none
0.2500 percent families 0.0000 0.0000 0.2500 percent families 0.0000 none 0.0000 none
This indicator measures the number of food packages received by...
I4.Q1/I4.Q2
Outcome
2013 Families no malnourished children
Name (N) Label Date Rel Label Math Type Dist Type Base IO or Obs Math Operator Math Sub Type
Q1 Amount Q1 Unit Q2 Amount Q2 Unit Q3 Amount Q3 Unit Q4 Amount Q4 Unit Q5 Amount Q5 Unit
QT Amount QT Unit QT D1 Amount QT D2 Amount QT Most Amount QT Most Unit QT Low Amount QT Low Unit QT High Amount QT High Unit
Food Delivery Cost OC123 11/04/2016 OC123A algorithm1 normal none equalto subalgorithm1
4,600,000.0000 total cost 4,600,000.0000 1,100,000.0000 4,580,434.8348 total cost 4,518,159.6461 lower 80 % ci 4,642,710.0235 upper 80 % ci
(I1.QTM+I2.QTM+I3.QTM+I4.QTM)/100
Q1 families with no malnourishment OC123A 04/01/2013 none none none none equalto none
900.0000 families 100,000.0000 total families 0.0000 none 0.0000 none 0.0000 none
90,000,000.0000 total cost 0.0000 0.0000 90,000,000.0000 total cost 0.0000 none 0.0000 none
This indicator measures ...
I1.Q1*I1.Q2
Q2 families with no malnourishment OC123A 07/01/2013 none none none none equalto none
1,000.0000 families 100,000.0000 total families 0.0000 none 0.0000 none 0.0000 none
100,000,000.0000 total cost 0.0000 0.0000 100,000,000.0000 total cost 0.0000 none 0.0000 none
This indicator measures ...
I2.Q1*I2.Q2
Q3 families with no malnourishment OC123A 10/01/2013 none none none none equalto none
1,200.0000 families 100,000.0000 total families 0.0000 none 0.0000 none 0.0000 none
120,000,000.0000 total cost 0.0000 0.0000 120,000,000.0000 total cost 0.0000 none 0.0000 none
This indicator measures ...
I3.Q1*I3.Q2
Q4 families with no malnourishment OC123A 01/01/2014 none none none none equalto none
1,500.0000 families 100,000.0000 total families 0.0000 none 0.0000 none 0.0000 none
150,000,000.0000 total cost 0.0000 0.0000 150,000,000.0000 total cost 0.0000 none 0.0000 none
This indicator measures ...
I4.Q1*I4.Q2
Output: 2013 Number of children examined for malnutrition, Project 01
Name (N) Label Date Rel Label Math Type Dist Type Base IO or Obs Math Operator Math Sub Type
Q1 Amount Q1 Unit Q2 Amount Q2 Unit Q3 Amount Q3 Unit Q4 Amount Q4 Unit Q5 Amount Q5 Unit
QT Amount QT Unit QT D1 Amount QT D2 Amount QT Most Amount QT Most Unit QT Low Amount QT Low Unit QT High Amount QT High Unit
Percent Children Examined MN101 11/04/2016 MN101A algorithm1 normal none equalto subalgorithm1
10.1000 percent children 10.0000 3.0000 10.1189 percent children 9.9443 lower 80 % ci 10.2935 upper 80 % ci
(I1.QTM+I2.QTM+I3.QTM+I4.QTM)*100
Planned Q1 Children Examined MN101A 04/01/2013 none none none none equalto none
2,300.0000 children 100,000.0000 children population 0.0000 none 0.0000 none 0.0000 none
0.0230 percent children 0.0000 0.0000 0.0230 0.0000 none 0.0000 none
This indicator tracks the number of children examined for malnourishment.200a
I1.Q1/I1.Q2
Planned Q2 Children Examined MN101A 07/01/2013 none none none none equalto none
2,400.0000 children 100,000.0000 children population 0.0000 none 0.0000 none 0.0000 none
0.0240 percent children 0.0000 0.0000 0.0240 percent children 0.0000 none 0.0000 none
This indicator tracks the number of children examined for malnourishment.
I2.Q1/I2.Q2
Planned Q3 Children Examined MN101A 10/01/2013 none none none none equalto none
2,600.0000 children 100,000.0000 children population 0.0000 none 0.0000 none 0.0000 none
0.0260 percent children 0.0000 0.0000 0.0260 percent children 0.0000 none 0.0000 none
This indicator tracks the number of children examined for malnourishment.
I3.Q1/I3.Q2
Planned Q4 Children Examined MN101A 01/01/2014 none none none none equalto none
2,800.0000 children 100,000.0000 children population 0.0000 none 0.0000 none 0.0000 none
0.0280 percent children 0.0000 0.0000 0.0280 percent children 0.0000 none 0.0000 none
This indicator tracks the number of children examined for malnourishment.
I4.Q1/I4.Q2
Output: 2013 Number of food nutrient packages distributed
Name (N) Label Date Rel Label Math Type Dist Type Base IO or Obs Math Operator Math Sub Type
Q1 Amount Q1 Unit Q2 Amount Q2 Unit Q3 Amount Q3 Unit Q4 Amount Q4 Unit Q5 Amount Q5 Unit
QT Amount QT Unit QT D1 Amount QT D2 Amount QT Most Amount QT Most Unit QT Low Amount QT Low Unit QT High Amount QT High Unit
Percent Families OUT100 11/04/2016 OUT100A algorithm1 normal none equalto subalgorithm1
170.0000 percent families 170.0000 45.0000 169.7034 percent families 167.0249 lower 80 % ci 172.3819 upper 80 % ci
(I1.QTM+I2.QTM+I3.QTM+I4.QTM)*100
Q1 Food Packages Delivered OUT100A 04/01/2013 none none none none equalto none
10,000.0000 families 100,000.0000 family population 0.0000 none 0.0000 none 0.0000 none
0.1000 percent families 0.0000 0.0000 0.1000 percent families 0.0000 none 0.0000 none
This indicator measures the number of food packages received by...
I1.Q1/I1.Q2
Q2 Food Packages Delivered OUT100A 07/01/2013 none none none none equalto none
15,000.0000 families 100,000.0000 family population 0.0000 none 0.0000 none 0.0000 none
0.1500 percent families 0.0000 0.0000 0.1500 percent families 0.0000 none 0.0000 none
This indicator measures the number of food packages received by...
I2.Q1/I2.Q2
Q3 Food Packages Delivered OUT100A 10/01/2013 none none none none equalto none
60,000.0000 families 100,000.0000 family population 0.0000 none 0.0000 none 0.0000 none
0.6000 percent families 0.0000 0.0000 0.6000 percent families 0.0000 none 0.0000 none
This indicator measures the number of food packages received by...
I3.Q1/I3.Q2
Q4 Food Packages Delivered OUT100A 01/01/2014 none none none none equalto none
85,000.0000 families 100,000.0000 family population 0.0000 none 0.0000 none 0.0000 none
0.8500 percent families 0.0000 0.0000 0.8500 percent families 0.0000 none 0.0000 none
This indicator measures the number of food packages received by...
I4.Q1/I4.Q2
Dataset: Nutrition Delivery IRI This outcome group measures the performance of food delivery networks for project 01.