* Encoding: UTF-8.
/* ProQOL-21 recoding syntax for SPSS.

/* Press 'Run' > 'All' from the menu options above this syntax to run it on your data file.

/* **Data File Setup - Please check this first**
/* Note that your ProQOL variable names must match those listed below. Copy and paste the following variable names into your
/* data file via the Variable View mode, to replace the original variable labels you may have had previously. The list below assumes 
/* that you have ordered your ProQOL variables from item 1 to item 30. There is no need to worry about reverse coding some of the 
/* Burnout subscale items, as the modified scale does not involve them. 
 * 
ProQoL1BO
ProQoL2STS
ProQoL3CS
ProQoL4BO
ProQoL5STS
ProQoL6CS
ProQoL7STS
ProQoL8BO
ProQoL9STS
ProQoL10BO
ProQoL11STS
ProQoL12CS
ProQoL13STS
ProQoL14STS
ProQoL15BO
ProQoL16CS
ProQoL17BO
ProQoL18CS
ProQoL19BO
ProQoL20CS
ProQoL21BO
ProQoL22CS
ProQoL23STS
ProQoL24CS
ProQoL25STS
ProQoL26BO
ProQoL27CS
ProQoL28STS
ProQoL29BO
ProQoL30CS

/* Note that the recodings below will only work for whole numbers that follow the original 1 to 5 response approach. If you have
/* used a data replacement method to address missing data (e.g., mean substitution), then the syntax below will not pick up
/* the non-whole numbers the data replacement method has likely calculated for your data file. If you decide to replace missing
/* data, we would therefore recommend performing this process after the recoding has been conducted.

RECODE ProQoL6CS ProQoL16CS ProQoL18CS ProQoL20CS ProQoL22CS ProQoL30CS (1=1) (2=1) (3=2) (4=3) 
    (5=4) (MISSING=SYSMIS).
EXECUTE.

RECODE ProQoL3CS ProQoL12CS ProQoL24CS ProQoL27CS (1=1) (2=1) (MISSING=SYSMIS) (3=1) (4=2) (5=3).
EXECUTE.

RECODE ProQoL26BO (1=1) (3=2) (4=3) (5=3) (2=2) (MISSING=SYSMIS).
EXECUTE.

RECODE ProQoL23STS (1=1) (MISSING=SYSMIS) (2=2) (3=3) (4=3) (5=3).
EXECUTE.

RECODE ProQoL8BO ProQoL10BO ProQoL11STS ProQoL14STS ProQoL25STS (MISSING=SYSMIS) (1=1) (2=2) (3=3) 
    (4=4) (5=4).
EXECUTE.

/* The following part of the syntax will create two total score variables in your data; one for Compassion Satisfaction, the other for
/* Compassion Fatigue. Scores on this variable can be compared against the Table in the article for a normed score / percentile
/* interpretation.

COMPUTE CS_RecodeTotal=ProQoL30CS + ProQoL3CS + ProQoL22CS + ProQoL16CS + ProQoL20CS + ProQoL24CS + 
    ProQoL18CS + ProQoL6CS + ProQoL12CS + ProQoL27CS.
VARIABLE LABELS  CS_RecodeTotal 'Compassion Satisfaction total score PQL-21'.
EXECUTE.

COMPUTE CF_RecodeTotal=ProQoL26BO + ProQoL21BO + ProQoL19BO + ProQoL23STS + ProQoL10BO + 
    ProQoL11STS + ProQoL9STS + ProQoL8BO + ProQoL14STS + ProQoL25STS + ProQoL13STS.
VARIABLE LABELS  CF_RecodeTotal 'Compassion Fatigue total score PQL-21'.
EXECUTE.