Aim Fully Funded DLF Variable
A_FULLY_FUNDED
DATA DEFINITION
1. Fully Funded.
PURPOSE
2. To determine if an aim is fully funded or co-funded.
RELEVANT COLLECTIONS
SOURCE DATA
3. The following variables are used as source data for the calculation of Fully Funded.
| Field Name |
Label |
Dataset |
| A_FULLY FUNDED |
A_FULLY_FUNDED Aim fully funded |
Aims DLF Standard File |
DERIVED VARIABLES AND DATASETS
4. The definition produces the following derived variable(s)
| Field Name |
Label |
Dataset |
| A_FULLY_FUNDED |
A_FULLY_FUNDED Aim fully funded |
Aims DLF Standard File |
VALUES
5. The table below outlines the categories for A_FULLY_FUNDED
| Value |
Label |
| 0 |
No |
| 1 |
Yes |
| -1 |
Not Applicable/Not Known |
Fully Funded Sample Code
1. The following SPSS code is provided to illustrate the Fully Funded data definition.
A_FULLY_FUNDED
2. The following table shows the steps required to derive A_FULLY_FUNDED for FE collections
| Step |
Condition |
Action/Action if true |
Action if false |
| 1 |
Any |
Set A_FULLY_FUNDED = 0. Go to 2. |
|
| 2 |
Is (a13>0 or ANY(a14,0,10,11,12,13,19,24,25,90,99)) and L_AGEBAND>1? |
Set A_FULLY_FUNDED = 1 |
|
| Step |
Condition |
Action/Action if true |
Action if false |
| 1 |
Does A_FULLY_FUNDED contain a value |
None |
Set A_FULLY_FUNDED = -1 |
3. The following SPSS code illustrates how to derive A_FULLY_FUNDED for FE collections.
|
RECODE a13 a14 (SYSMIS=0) (else=copy).
COMPUTE aim_fees=0.
IF (a13>0 or ANY(a14,0,10,11,12,13,19,24,25,90,99)) aim_fees=1.
VALUE LABELS aim_fees 0 'Fee remission is paid for this aim' 1 'Fee remission is not paid for this aim'.
*Define fully funded learners as those with entitlement or no fee paying aims.
COMPUTE aim_fully_funded=1.
IF (aim_fees=1 AND L_ageband>1) aim_fully_funded=0.
comp A_FULLY_FUNDED=aim_fully_funded.
VALUE LABELS A_FULLY_FUNDED
0 'No’
1 'Yes’
-1 'Not Applicable/No Known'.
|
4. The following table shows the steps required to derive A_FULLY_FUNDED for WBL collections
| Step |
Condition |
Action/Action if true |
Action if false |
| 1 |
If A15 = 9? |
Set A_FULLY_FUNDED = 1. |
Go to 2. |
| 2 |
If A15 = Any(2,3,10) ? |
Go to 3 |
Go to 5. |
| 3 |
Is P_AGEST <= 18 ? |
Set A_FULLY_FUNDED = 1. Go to 7. |
Go to 4. |
| 4 |
Is P_AGEST >= 19 ? |
Set A_FULLY_FUNDED = 0. Go to 7. |
|
| 5 |
Is A_AGEST <= 18 ? |
Set A_FULLY_FUNDED = 1.Go to 7. |
Go to 6. |
| 6 |
Is A_AGEST >= 19 ? |
Set A_FULLY_FUNDED = 0. |
|
| 7 |
Does A_FULLY_FUNDED contain a value |
None. |
Set A_FULLY_FUNDED = -1. |
| Step |
Condition |
Action/Action if true |
Action if false |
| 1 |
Does A_FULLY_FUNDED contain a value |
None |
Set A_FULLY_FUNDED = -1 |
3. The following SPSS code illustrates how to derive A_FULLY_FUNDED for WBL Collections.
|
DO IF (a15 = 9).
COMPUTE a_fully_funded = 1.
ELSE IF any(a15, 2, 3, 10).
RECODE p_agest (lo thru 18 =1) (19 thru hi = 0) into a_fully_funded.
ELSE.
RECODE a_agest (lo thru 18 =1) (19 thru hi = 0) into a_fully_funded.
END IF.
VALUE LABELS A_FULLY_FUNDED
0 'No’
1 'Yes’
-1 'Not Applicable/No Known'. |
Date last modified: 03rd March 2010
