Framework for Achievement Data Definition 2008/2009
A_FFA, L_FFA
DATA DEFINITION
1. Framework for Achievement flags for aims and learners.
PURPOSE
2. Identifies learners (and aims) who are part of the Framework for Achievement pilots. The Framework for Achievement is designed to recognise a wider range of learner achievements than the National Qualifications Framework (NQF).
RELEVANT COLLECTIONS
- ILR (LR)
- ILR (ER)
- ILR (ASL)
- ILR (ESF SR)
- ILR (UFI)
SOURCE DATA
3. The following variables are used as source data for the calculation of the Framework for Achievement flags.
|
Field Name
|
Label
|
Dataset
|
| A_FFA_REF |
A_FFA_REF Framework For Achievement Reference |
Analytical LAD |
| A_ACTIVE |
A_ACTIVE Aim Active for the current academic year |
Aims Standard File |
DERIVED VARIABLES AND DATASETS
4. The definition produces the following derived variable(s)
|
Field Name
|
Label
|
Dataset
|
| A_FFA |
A_FFA Framework for Achievement Aim |
Aims Standard File |
| L_FFA |
L_FFA Framework for Achievement Learner |
Learner Standard File |
VALUES
5. The table below outlines the categories for A_FFA, L_FFA
| Value |
Label |
| -1 |
Not Applicable/Not Known* |
| 0 |
No |
| 1 |
Yes |
*Applies to system missing values and where there are non-active aims. Only applicable at learner level.
DETAILED DEFINITION
6. Framework for Achievement Aims are identified where there is a corresponding value in the Framework for Achievement Reference in the LAD.
7. At learner level only those active in the current academic year (A_ACTIVE=1) with at least one framework for achievement aim are considered to be framework for Achievement learners.
Framework for Achievement Sample Code
1. The following SPSS code is provided to illustrate the Framework for Achievement data definition.
A_FFA, L_FFA
2. The following table shows the steps required to derive A_FFA
| Step | Condition | Action/Action if true | Action if false |
|---|
| 1 | Does A_FFA_REF have an entry | Set A_FFA to 1 | Set A_FFA to 0 |
2. The following table shows the steps required to derive L_FFA
| Step | Condition | Action/Action if true | Action if false |
|---|
| 1 | Does A_ACTIVE =1 | Go to 3 | Set L_FFA to -1 |
| 2 | Does any A_FFA=1 | Set L_FFA to 1 | Set L_FFA to 0 |
| Step | Condition | Action/Action if true | Action if false |
|---|
| 1 | Does L_FFA contain a value | None | Set L_FFA = -1 |
| 2 | Does L_ACTIVE=0 | Set L_FFA = -1 | None |
3. The following SPSS code illustrates how to derive A_FFA and L_FFA.
/* Matches the current working file (aims file) with the Analytical Lad dataset by A09 (Qualification Aim Reference).
GET FILE=’………………….AIMS data set.’.
SORT CASES BY A09.
MATCH FILES /FILE=*
/TABLE=’………………….Analytical LAD data set’
/BY A09. IF (A_FFA_REF <> “”) A_FFA=1. SELECT IF A_ACTIVE=1. VALUE LABELS A_FFA
-1 'Not Applicable/Not Known'
0 ‘No’
1 ‘Yes’. AGGREGATE OUTFILE=……………L_FFA.SAV
/BREAK=L01 L03
/L_FFA=MAX(A_FFA). GET FILE ‘…………Learner data set’. SORT CASES L01 L03.
MATCH FILE
/FILE= *
/TABLE=’…… L_FFA.SAV’
/BY L01 L03. RECODE L_FFA(SYSMIS=-1). |
Date last modified: 19th January 2009
