*******SPSS PSYCHOMETRIC ALGORITHM FOR AQOL-4D UNWEIGHTED MODEL (WITH MISSING VALUES) (CHE Version 2 Dated 21 August 2015). * THIS ALGORITHM (CHE Version 2 Dated 21 August 2015) IS AN INTERIM RELEASE AND * MAY BE CHANGED WITHOUT NOTICE. * RESEARCHERS SHOULD CHECK WITH THE AQOL GROUP AT MONASH UNIVERSITY * FOR ANY MODIFICATION www.aqol.com.au ********************************************************************************* *This file analyses the AQoL-4D instrument and produces additive unweighted dimension and instrument scores. *NOTE: While the original AQoL had 15 items, the first 3 items about medicinal use are not part of the scoring algorithm and are not part of the analysis. Only the next 12 items comprise the AQoL-4D and are used in scoring. *Variable names: For this algorithm, the variables in your questionnaire or database should be named "aqol1 to aqol12" etc. *** The AQoL-4D has 4 dimensions with a total of 12 items with 4 response levels each. The item responses are ‘1’ for item best, ‘2’ for next, etc, and ‘4’ for item worst. *Each dimension has 3 items hence the minimum score is 3 (Dimension Best) and the maximum score is 12 (Dimension Worst). *The minimum instrument score is 12 (Best Health) and the maximum score is 48 (Worst Health). *Missing Values: Note that missing data are handled by imputing values within each dimension. *The algorithm allows for only 1 missing response per dimension being imputed from the mean of the other 2 responses in the dimension. (Each dimension has 3 responses). *If more than one response is missing in a dimension, the dimension will not be scored and there will not be a overall instrument score. *** * Missing values represented by a blank or dot. Compute Q1 = aqol1. Compute Q2 = aqol2. Compute Q3 = aqol3. Compute Q4 = aqol4. Compute Q5 = aqol5. Compute Q6 = aqol6. Compute Q7 = aqol7. Compute Q8 = aqol8. Compute Q9 = aqol9. Compute Q10 = aqol10. Compute Q11 = aqol11. Compute Q12 = aqol12. Execute. ***************************************************************** ********* Imputing Missing Values in Database ********* ******************************** **** Independent Living - Dimension 1 *** ************************************** Compute ILmiss = Nmiss (Q1 to Q3). Do if ILmiss = 1. Do repeat A = Q1 to Q3. If (Missing (A)) A = RND(Mean (Q1 to Q3)). End repeat. End if. ******************************** *** Relationships - Dimension 2 *** ******************************** Compute RELmiss = Nmiss (Q4 to Q6). Do if RELmiss =1. Do repeat A = Q4 to Q6. If (Missing (A)) A = RND(Mean (Q4 to Q6)). End repeat. End if. ******************************** *** Senses Dimension 3 *** ******************************** Compute SENmiss = Nmiss (Q7 to Q9). Do if SENmiss =1. Do repeat A = Q7 to Q9. If (Missing (A)) A = RND(Mean (Q7 to Q9)). End repeat. End if. ************************************* **** Mental Health - Dimension 4 *** ************************************* Compute MENmiss = Nmiss (Q10 to Q12). Do if MENmiss =1. Do repeat A = Q10 to Q12. If (Missing (A)) A = RND(Mean (Q10 to Q12)). End repeat. End if. Execute. COMPUTE aqolscore = SUM (Q1,Q2,Q3,Q4,Q5,Q6,Q7,Q8,Q9,Q10,Q11,Q12). COMPUTE dimILscore = SUM (Q1,Q2,Q3). COMPUTE dimRELscore = SUM (Q4,Q5,Q6). COMPUTE dimSENscore = SUM (Q7,Q8,Q9). COMPUTE dimMHscore = SUM (Q10,Q11,Q12). Execute. ** AQoL-4D Unweighted Score** COMPUTE AQoL4D =(1-( aqolscore - 12)/(48-12))*100. EXECUTE. ** Independent Living dimension unweighted score ** COMPUTE IL_4D=(1- (dimILscore - 3)/(12-3))*100. EXECUTE. ** Relationships dimension unweighted score ** COMPUTE REL_4D =(1-(dimRELscore - 3)/(12-3))*100. EXECUTE. ** Senses dimension unweighted score ** COMPUTE SEN_4D =(1-(dimSENscore - 3)/(12-3))*100. EXECUTE. ** Mental Health dimension unweighted score** COMPUTE MH_4D =(1-(dimMHscore - 3)/(12-3))*100. EXECUTE. VARIABLE LABELS AQoL4D 'AQoL-4D unweighted score' IL_4D 'Independent Living dimension unweighted score' REL_4D 'Relationships dimension unweighted score' SEN_4D 'Senses dimension unweighted score' MH_4D 'Mental Health dimension unweighted score'. EXECUTE. *Descriptive Statistics for AQoL-8D Dimension and Instrument Score** DESCRIPTIVES VARIABLES=AQoL4D IL_4D REL_4D SEN_4D MH_4D /STATISTICS=MEAN STDDEV MIN MAX SEMEAN. DELETE VARIABLES q1 q2 q3 q4 q5 q6 q7 q8 q9 q10 q11 q12 dimILscore dimRELscore dimSENscore dimMHscore ILmiss RELmiss SENmiss MENmiss aqolscore. EXECUTE.