STEPS FOR CHECKING AND CLEANING DATA AND COMPUTING FACET AND DOMAIN SCORES

(SPSS syntax files are available on diskette from WHO, Geneva)

Steps		SPSS syntax for carrying out data checking, cleaning and computing total scores
1.	Check all 100 items from questionnaire have a range of 1-5	RECODE F11 F12 F13..(add all 100 items with a space between each)...G1 G2 G3 G4... (1=1) (2=2) (3=3) (4=4) (5=5) (ELSE=SYSMIS). (This recodes all data outwith the range 1-5 to system missing).
2.	Reverse 18 items	RECODE F22 F24 F32 F34 F72 F73 F93 F94 F102 F104 F131 F154 F163 F182 F184 F222 F232 F234 (1=5) (2=4) (3=3) (4=2) (5=1).
3.	Compute facets, domains and general scores	COMPUTE FACET1=(MEAN.3(F11,F12,F13,F14))*4. COMPUTE FACET2=(MEAN.3(F21,F22,F23,F24))*4. COMPUTE FACET3=(MEAN.3(F31,F32,F33,F34))*4. COMPUTE FACET4=(MEAN.3(F41,F42,F43,F44))*4. COMPUTE FACET5=(MEAN.3(F51,F52,F53,F54))*4. COMPUTE FACET6=(MEAN.3(F61,F62,F63,F64))*4. COMPUTE FACET7=(MEAN.3(F71,F72,F73,F74))*4. COMPUTE FACET8=(MEAN.3(F81,F82,F83,F84))*4. COMPUTE FACET9=(MEAN.3(F91,F92,F93,F94))*4. COMPUTE FACET10=(MEAN.3(F101,F102,F103,F104))*4. COMPUTE FACET11=(MEAN.3(F111,F112,F113,F114))*4. COMPUTE FACET12=(MEAN.3(F121,F122,F123,F124))*4. COMPUTE FACET13=(MEAN.3(F131,F132,F133,F134))*4. COMPUTE FACET14=(MEAN.3(F141,F142,F143,F144))*4. COMPUTE FACET15=(MEAN.3(F151,F152,F153,F154))*4. COMPUTE FACET16=(MEAN.3(F161,F162,F163,F164))*4. COMPUTE FACET17=(MEAN.3(F171,F172,F173,F174))*4. COMPUTE FACET18=(MEAN.3(F181,F182,F183,F184))*4. COMPUTE FACET19=(MEAN.3(F191,F192,F193,F194))*4. COMPUTE FACET20=(MEAN.3(F201,F202,F203,F204))*4. COMPUTE FACET21=(MEAN.3(F211,F212,F213,F214))*4. COMPUTE FACET22=(MEAN.3(F221,F222,F223,F224))*4. COMPUTE FACET23=(MEAN.3(F231,F232,F233,F234))*4. COMPUTE FACET24=(MEAN.3(F241,F242,F243,F244))*4. COMPUTE FACET25=(MEAN.3(G1,G2,G3,G4))*4. COMPUTE DOM1=MEAN.2((24-FACET1),FACET2,FACET3). COMPUTE DOM2=MEAN.4(FACET4,FACET5,FACET6,FACET7,(24-FACET8)). COMPUTE DOM3=MEAN.3(FACET9,FACET10,(24-FACET11),FACET12). COMPUTE DOM4=MEAN.2(FACET13,FACET14,FACET15). COMPUTE DOM5=MEAN.6(FACET16,FACET17,FACET18,FACET19,FACET20,FACET21, FACET22,FACET23). COMPUTE DOM6=FACET24. (These equations calculate the total item scores within each facet. For domains, they calculate the mean of all facets within the domain. The'.3' in 'mean.3' allows facets with one item missing to be computed based on the remaining three items).
4.	Delete cases with >20% missing data	COUNT TOTAL=F12 TO F244 (1 THRU 5). (This command creates a new column 'total'. 'Total' contains a count of the WHOQOL-100 items with the values 1-5 that have been endorsed by each subject. The 'f12 to f244' means that consecutive columns from 'f12', the first item, to 'f244', the last item, are included in the count. It therefore assumes that data is entered in the order given in the questionnaire). FILTER OFF. USE ALL. SELECT IF (TOTAL>=80). EXECUTE. (This second command selects only those cases where 'total', the total number of items completed, is greater or equal to 80. It deletes the remaining cases from the data set).
5.	Check facet and domain scores	DESCRIPTIVES VARIABLES=FACET1 FACET2 FACET3..(include all facets and domains)..DOM6 /STATISTICS=MEAN STDDEV MIN MAX. (Running descriptives should display values of all facet and domain scores within the range 4-20).
6.	Save data set	Save data set with a new file name so that the original remains intact.

1 DESENVOLVIMENTO DO WHOQOL
1.1 Conceito de Qualidade de Vida
1.2 Instrumentos de Medida de Qualidade de Vida
1.3 Desenvolvimento do WHOQOL-100
1.4 Inclusão de Novos Centros

2 DESENVOLVIMENTO DA VERSÃO EM PORTUGUÊS DO WHOQOL-100
2.1 Equipe do Projeto
2.2 Tradução
2.3 Discussão em Grupos Focais da Versão em Português
2.4 Escalas de Resposta em Português para o WHOQOL-100

3 DESENVOLVIMENTO DA VERSÃO ABREVIADA (WHOQOL-bref)

4 PROCEDIMENTOS DE APLICAÇÃO DE WHOQOL-100 E DO WHOQOL-bref
4.1 Aplicação
4.2 Amostra
4.3 Consentimento Informado
4.4 Qualificação dos Entrevistadores
4.5 Procedimento de Aplicação
4.6 Manual de Aplicação

5 PROPRIEDADES PSICOMÉTRICAS DO WHOQOL-100
5.1 Características da Amostra
5.2 Consistência Interna
5.3 Validade Discriminante
5.4 Validade de Critério
5.5 Validade de Concorrente
5.6 Fidedignidade Teste-reteste
5.7 Discussão

6 PROPRIEDADES PSICOMÉTRICAS DO WHOQOL-bref
6.1 Características da Amostra
6.2 Consistência Interna
6.3 Validade Discriminante
6.4 Validade de Critério
6.5 Validade de Concorrente
6.6 Fidedignidade Teste-reteste
6.7 Adequação do WHOQOL-bref
6.8 Discussão

7 OBTENÇÃO DO WHOQOL-100 E DO WHOQOL-bref

8 ANEXOS
8.1 Consentimento Informado
8.2 Questionário de Identificação do Paciente
8.3 WHOQOL-100 (o questionário completo)
8.4 WHOQOL-bref *novo*
8.5 Como pontuar o WHOQOL-bref e o WHOQOL-100
8.6 Sintaxe SPSS - WHOQOL-100
8.7 Sintaxe SPSS - WHOQOL-bref *novo*
Instruções para Aplicação dos Instrumentos WHOOQL
Publicações Relacionadas ao WHOQOL * novo *