* This syntax provides the same information as the online calculator, plus additional information, as it is based on raw data rather than * sample means. Specifically, it computes a 95% confidence interval around each T-score estimate and the results of a one-sample t-test * comparing the sample mean to 50. * SPSS syntax for comparing sample FACT-G data to Australian normative data (reported in Janda, M., DiSipio, T., Hurst, C,. * Cella, D., & Newman, B (2009). The Queensland cancer risk study: general population norms for the Functional Assessment. * of Cancer Therapy-General (FACT-G). Psycho-Oncology, 18, 606-614). * * This file prepared by Dan Costa, Psycho-oncology Co-operative Research Group, October 2009. * * This syntax assumes that the FACT-G global score variable in your data file is named FACTG and that the sub-scale variables * are named PWB, SWB, EWB and FWB. The following will appear (for the FACT-G global scale and each sub-scale) in an * output file when the syntax is run: * - Raw and norm-adjusted T-score descriptives. * - Column graphs with 95% confidence intervals * - One-sample t-tests comparing each T-score to 50 (the norm mean). * * In order to obtain a horizontal line on the column graph marking a score of 50, once the graph is obtained, double-click on the * graph and in the dialog box that appears go to the Options menu, select Y Axis Reference Line, then next to Position type 50. * (N.B.: This procedure may differ slightly for versions of SPSS other than 17.) * * You should select the group below that best matches your sample's age and gender composition. Highlight and run only the * syntax that matches your sample composition. * * 1. All individuals. * 2. Males. * 3. Females. * 4. Ages 20-39. * 5. Ages 40-59. * 6. Ages 60-75. * 7.Ages 20-39 * 8. Males aged 40-59. * 9. Males aged 60-75. * 10. Females aged 20-39. * 11. Females aged 40-59. * 12. Females aged 60-75. *===========================================. * 1. FACT-G scores for all individuals. COMPUTE FACTG_Z = (FACTG - 85.9075)/15.0749. COMPUTE FACTG_T = (FACTG_Z *10) + 50. COMPUTE PWB_Z = (PWB - 25.1533)/3.63198. COMPUTE PWB_T = (PWB_Z *10) + 50. COMPUTE SWB_Z = (SWB - 19.2036)/6.47958. COMPUTE SWB_T = (SWB_Z *10) + 50. COMPUTE EWB_Z = (EWB - 21.1038)/3.73922. COMPUTE EWB_T = (EWB_Z *10) + 50. COMPUTE FWB_Z = (FWB - 20.4507)/6.19261. COMPUTE FWB_T = (FWB_Z *10) + 50. EXECUTE. VARIABLE LABELS FACTG_T "FACT G global T-score" PWB_T "Physical well-being T-score" SWB_T "Social well-being T-score" EWB_T "Emotional well-being T-score" FWB_T "Functional well-being T-score". DESCRIPTIVES VARIABLES=FACTG PWB SWB EWB FWB /STATISTICS=MEAN STDDEV MIN MAX SEMEAN. GRAPH /BAR(SIMPLE)=MEAN(FACTG_T) MEAN(PWB_T) MEAN(SWB_T) MEAN(EWB_T) MEAN(FWB_T) /INTERVAL CI(95.0) /MISSING=LISTWISE /TITLE='T-scores for FACT sub- and global scales'. T-TEST /TESTVAL=50 /MISSING=ANALYSIS /VARIABLES=FACTG_T PWB_T SWB_T EWB_T FWB_T /CRITERIA=CI(.95). *===========================================. * 2. FACT-G scores for males only (regardless of age). COMPUTE FACTG_Z_m = (FACTG - 85.8335)/14.75923. COMPUTE FACTG_T_m = (FACTG_Z_m *10) + 50. COMPUTE PWB_Z_m = (PWB - 25.4210)/3.50741. COMPUTE PWB_T_m = (PWB_Z_m *10) + 50. COMPUTE SWB_Z_m = (SWB - 18.5071)/6.47014. COMPUTE SWB_T_m = (SWB_Z_m *10) + 50. COMPUTE EWB_Z_m = (EWB - 21.4015)/3.56524. COMPUTE EWB_T_m = (EWB_Z_m *10) + 50. COMPUTE FWB_Z_m = (FWB - 20.4118)/6.03128. COMPUTE FWB_T_m = (FWB_Z_m *10) + 50. EXECUTE. VARIABLE LABELS FACTG_T_m "FACT G global T-score (males)" PWB_T_m "Physical well-being T-score (males)" SWB_T_m "Social well-being T-score (males)" EWB_T_m "Emotional well-being T-score (males)" FWB_T_m "Functional well-being T-score (males)". DESCRIPTIVES VARIABLES=FACTG PWB SWB EWB FWB /STATISTICS=MEAN STDDEV MIN MAX SEMEAN. GRAPH /BAR(SIMPLE)=MEAN(FACTG_T_m) MEAN(PWB_T_m) MEAN(SWB_T_m) MEAN(EWB_T_m) MEAN(FWB_T_m) /INTERVAL CI(95.0) /MISSING=LISTWISE /TITLE='T-scores for FACT sub- and global scales (males)'. T-TEST /TESTVAL=50 /MISSING=ANALYSIS /VARIABLES=FACTG_T_m PWB_T_m SWB_T_m EWB_T_m FWB_T_m /CRITERIA=CI(.95). *===========================================. * 3. FACT-G scores for females only (regardless of age). COMPUTE FACTG_Z_f = (FACTG - 86.1628)/15.39012. COMPUTE FACTG_T_f = (FACTG_Z_f *10) + 50. COMPUTE PWB_Z_f = (PWB - 24.8847)/3.73486. COMPUTE PWB_T_f = (PWB_Z_f *10) + 50. COMPUTE SWB_Z_f = (SWB - 19.9005)/6.41611. COMPUTE SWB_T_f = (SWB_Z_f *10) + 50. COMPUTE EWB_Z_f = (EWB - 20.8035)/3.88517. COMPUTE EWB_T_f = (EWB_Z_f *10) + 50. COMPUTE FWB_Z_f = (FWB - 20.4898)/6.15566. COMPUTE FWB_T_f = (FWB_Z_f *10) + 50. EXECUTE. VARIABLE LABELS FACTG_T_f "FACT G global T-score (females)" PWB_T_f "Physical well-being T-score (females)" SWB_T_f "Social well-being T-score (females)" EWB_T_f "Emotional well-being T-score (females)" FWB_T_f "Functional well-being T-score (females)". DESCRIPTIVES VARIABLES=FACTG PWB SWB EWB FWB /STATISTICS=MEAN STDDEV MIN MAX SEMEAN. GRAPH /BAR(SIMPLE)=MEAN(FACTG_T_f) MEAN(PWB_T_f) MEAN(SWB_T_f) MEAN(EWB_T_f) MEAN(FWB_T_f) /INTERVAL CI(95.0) /MISSING=LISTWISE /TITLE='T-scores for FACT sub- and global scales (females)'. T-TEST /TESTVAL=50 /MISSING=ANALYSIS /VARIABLES=FACTG_T_f PWB_T_f SWB_T_f EWB_T_f FWB_T_f /CRITERIA=CI(.95). *===========================================. * 4. FACT-G scores for ages 20-39 only (regardless of gender). COMPUTE FACTG_Z_a1 = (FACTG - 86.0348)/14.72416. COMPUTE FACTG_T_a1 = (FACTG_Z_a1 *10) + 50. COMPUTE PWB_Z_a1 = (PWB - 25.0838)/3.56954. COMPUTE PWB_T_a1 = (PWB_Z_a1*10) + 50. COMPUTE SWB_Z_a1 = (SWB - 19.3078)/6.36103. COMPUTE SWB_T_a1 = (SWB_Z_a1*10) + 50. COMPUTE EWB_Z_a1 = (EWB - 21.1236)/3.76165. COMPUTE EWB_T_a1 = (EWB_Z_a1 *10) + 50. COMPUTE FWB_Z_a1 = (FWB - 20.5295)/5.77112. COMPUTE FWB_T_a1 = (FWB_Z_a1 *10) + 50. EXECUTE. VARIABLE LABELS FACTG_T_a1 "FACT G global T-score (ages 20-39)" PWB_T_a1 "Physical well-being T-score (ages 20-39)" SWB_T_a1 "Social well-being T-score (ages 20-39)" EWB_T_a1 "Emotional well-being T-score (ages 20-39)" FWB_T_a1 "Functional well-being T-score (ages 20-39)". DESCRIPTIVES VARIABLES=FACTG PWB SWB EWB FWB /STATISTICS=MEAN STDDEV MIN MAX SEMEAN. GRAPH /BAR(SIMPLE)=MEAN(FACTG_T_a1) MEAN(PWB_T_a1) MEAN(SWB_T_a1) MEAN(EWB_T_a1) MEAN(FWB_T_a1) /INTERVAL CI(95.0) /MISSING=LISTWISE /TITLE='T-scores for FACT sub- and global scales (ages 20-39)'. T-TEST /TESTVAL=50 /MISSING=ANALYSIS /VARIABLES=FACTG_T_a1 PWB_T_a1 SWB_T_a1 EWB_T_a1 FWB_T_a1 /CRITERIA=CI(.95). *===========================================. * 5. FACT-G scores for ages 40-59 only (regardless of gender). COMPUTE FACTG_Z_a2 = (FACTG - 85.7338)/15.37319. COMPUTE FACTG_T_a2 = (FACTG_Z_a2 *10) + 50. COMPUTE PWB_Z_a2 = (PWB - 25.2202)/3.70537. COMPUTE PWB_T_a2 = (PWB_Z_a2*10) + 50. COMPUTE SWB_Z_a2 = (SWB - 18.9275)/6.52307. COMPUTE SWB_T_a2 = (SWB_Z_a2*10) + 50. COMPUTE EWB_Z_a2 = (EWB - 20.9677)/3.74204. COMPUTE EWB_T_a2 = (EWB_Z_a2 *10) + 50. COMPUTE FWB_Z_a2 = (FWB - 20.4504)/6.189. COMPUTE FWB_T_a2 = (FWB_Z_a2 *10) + 50. EXECUTE. VARIABLE LABELS FACTG_T_a2 "FACT G global T-score (ages 40-59)" PWB_T_a2 "Physical well-being T-score (ages 40-59)" SWB_T_a2 "Social well-being T-score (ages 40-59)" EWB_T_a2 "Emotional well-being T-score (ages 40-59)" FWB_T_a2 "Functional well-being T-score (ages 40-59)". DESCRIPTIVES VARIABLES=FACTG PWB SWB EWB FWB /STATISTICS=MEAN STDDEV MIN MAX SEMEAN. GRAPH /BAR(SIMPLE)=MEAN(FACTG_T_a2) MEAN(PWB_T_a2) MEAN(SWB_T_a2) MEAN(EWB_T_a2) MEAN(FWB_T_a2) /INTERVAL CI(95.0) /MISSING=LISTWISE /TITLE='T-scores for FACT sub- and global scales (ages 40-59)'. T-TEST /TESTVAL=50 /MISSING=ANALYSIS /VARIABLES=FACTG_T_a2 PWB_T_a2 SWB_T_a2 EWB_T_a2 FWB_T_a2 /CRITERIA=CI(.95). *===========================================. * 6. FACT-G scores for ages 60-75 only (regardless of gender). COMPUTE FACTG_Z_a3 = (FACTG - 86.5343)/15.24965. COMPUTE FACTG_T_a3 = (FACTG_Z_a3 *10) + 50. COMPUTE PWB_Z_a3 = (PWB - 25.1664)/3.61379. COMPUTE PWB_T_a3 = (PWB_Z_a3*10) + 50. COMPUTE SWB_Z_a3 = (SWB - 19.602)/6.65148. COMPUTE SWB_T_a3 = (SWB_Z_a3*10) + 50. COMPUTE EWB_Z_a3 = (EWB - 21.3772)/3.66736. COMPUTE EWB_T_a3 = (EWB_Z_a3 *10) + 50. COMPUTE FWB_Z_a3 = (FWB - 20.2564)/6.62322. COMPUTE FWB_T_a3 = (FWB_Z_a3 *10) + 50. EXECUTE. VARIABLE LABELS FACTG_T_a3 "FACT G global T-score (ages 60-75)" PWB_T_a3 "Physical well-being T-score (ages 60-75)" SWB_T_a3 "Social well-being T-score (ages 60-75)" EWB_T_a3 "Emotional well-being T-score (ages 60-75)" FWB_T_a3 "Functional well-being T-score (ages 60-75)". DESCRIPTIVES VARIABLES=FACTG PWB SWB EWB FWB /STATISTICS=MEAN STDDEV MIN MAX SEMEAN. GRAPH /BAR(SIMPLE)=MEAN(FACTG_T_a3) MEAN(PWB_T_a3) MEAN(SWB_T_a3) MEAN(EWB_T_a3) MEAN(FWB_T_a3) /INTERVAL CI(95.0) /MISSING=LISTWISE /TITLE='T-scores for FACT sub- and global scales (ages 60-75)'. T-TEST /TESTVAL=50 /MISSING=ANALYSIS /VARIABLES=FACTG_T_a3 PWB_T_a3 SWB_T_a3 EWB_T_a3 FWB_T_a3 /CRITERIA=CI(.95). *===========================================. * 7. FACT-G scores for males aged 20-39 only. COMPUTE FACTG_Z_m_a1 = (FACTG - 86.4220)/14.29104. COMPUTE FACTG_T_m_a1 = (FACTG_Z_m_a1 *10) + 50. COMPUTE PWB_Z_m_a1 = (PWB - 25.4513)/3.46515. COMPUTE PWB_T_m_a1 = (PWB_Z_m_a1*10) + 50. COMPUTE SWB_Z_m_a1 = (SWB - 18.6762)/6.49439. COMPUTE SWB_T_m_a1 = (SWB_Z_m_a1*10) + 50. COMPUTE EWB_Z_m_a1 = (EWB - 21.6167)/3.32714. COMPUTE EWB_T_m_a1 = (EWB_Z_m_a1 *10) + 50. COMPUTE FWB_Z_m_a1 = (FWB - 20.6461)/5.72245. COMPUTE FWB_T_m_a1 = (FWB_Z_m_a1 *10) + 50. EXECUTE. VARIABLE LABELS FACTG_T_a1 "FACT G global T-score (males aged 20-39)" PWB_T_a1 "Physical well-being T-score (males aged 20-39)" SWB_T_a1 "Social well-being T-score (males aged 20-39)" EWB_T_a1 "Emotional well-being T-score (males aged 20-39)" FWB_T_a1 "Functional well-being T-score (males aged 20-39)". DESCRIPTIVES VARIABLES=FACTG PWB SWB EWB FWB /STATISTICS=MEAN STDDEV MIN MAX SEMEAN. GRAPH /BAR(SIMPLE)=MEAN(FACTG_T_m_a1) MEAN(PWB_T_m_a1) MEAN(SWB_T_m_a1) MEAN(EWB_T_m_a1) MEAN(FWB_T_m_a1) /INTERVAL CI(95.0) /MISSING=LISTWISE /TITLE='T-scores for FACT sub- and global scales (males aged 20-39)'. T-TEST /TESTVAL=50 /MISSING=ANALYSIS /VARIABLES=FACTG_T_m_a1 PWB_T_m_a1 SWB_T_m_a1 EWB_T_m_a1 FWB_T_m_a1 /CRITERIA=CI(.95). *===========================================. * 8. FACT-G scores for males aged 40-59 only. COMPUTE FACTG_Z_m_a2 = (FACTG - 85.2963)/14.96172. COMPUTE FACTG_T_m_a2 = (FACTG_Z_m_a2 *10) + 50. COMPUTE PWB_Z_m_a2 = (PWB - 25.4656)/3.47674. COMPUTE PWB_T_m_a2 = (PWB_Z_m_a2*10) + 50. COMPUTE SWB_Z_m_a2 = (SWB - 18.1319)/6.43355. COMPUTE SWB_T_m_a2 = (SWB_Z_m_a2*10) + 50. COMPUTE EWB_Z_m_a2 = (EWB - 21.1487)/3.72782. COMPUTE EWB_T_m_a2 = (EWB_Z_m_a2 *10) + 50. COMPUTE FWB_Z_m_a2 = (FWB - 20.3648)/6.10770. COMPUTE FWB_T_m_a2 = (FWB_Z_m_a2 *10) + 50. EXECUTE. VARIABLE LABELS FACTG_T_a2 "FACT G global T-score (males aged 40-59)" PWB_T_a2 "Physical well-being T-score (males aged 40-59)" SWB_T_a2 "Social well-being T-score (males aged 40-59)" EWB_T_a2 "Emotional well-being T-score (males aged 40-59)" FWB_T_a2 "Functional well-being T-score (males aged 40-59)". DESCRIPTIVES VARIABLES=FACTG PWB SWB EWB FWB /STATISTICS=MEAN STDDEV MIN MAX SEMEAN. GRAPH /BAR(SIMPLE)=MEAN(FACTG_T_m_a2) MEAN(PWB_T_m_a2) MEAN(SWB_T_m_a2) MEAN(EWB_T_m_a2) MEAN(FWB_T_m_a2) /INTERVAL CI(95.0) /MISSING=LISTWISE /TITLE='T-scores for FACT sub- and global scales (males aged 40-59)'. T-TEST /TESTVAL=50 /MISSING=ANALYSIS /VARIABLES=FACTG_T_m_a2 PWB_T_m_a2 SWB_T_m_a2 EWB_T_m_a2 FWB_T_m_a2 /CRITERIA=CI(.95). *===========================================. * 9. FACT-G scores for males aged 60-75 only. COMPUTE FACTG_Z_m_a3 = (FACTG - 85.6288)/15.43160. COMPUTE FACTG_T_m_a3 = (FACTG_Z_m_a3 *10) + 50. COMPUTE PWB_Z_m_a3 = (PWB - 25.2417)/3.68780. COMPUTE PWB_T_m_a3 = (PWB_Z_m_a3*10) + 50. COMPUTE SWB_Z_m_a3 = (SWB - 18.9751)/6.47582. COMPUTE SWB_T_m_a3 = (SWB_Z_m_a3*10) + 50. COMPUTE EWB_Z_m_a3 = (EWB - 21.46)/3.72336. COMPUTE EWB_T_m_a3 = (EWB_Z_m_a3 *10) + 50. COMPUTE FWB_Z_m_a3 = (FWB - 19.9454)/6.56521. COMPUTE FWB_T_m_a3 = (FWB_Z_m_a3 *10) + 50. EXECUTE. VARIABLE LABELS FACTG_T_m_a3 "FACT G global T-score (males aged 60-75)" PWB_T_m_a3 "Physical well-being T-score (males aged 60-75)" SWB_T_m_a3 "Social well-being T-score (males aged 60-75)" EWB_T_m_a3 "Emotional well-being T-score (males aged 60-75)" FWB_T_m_a3 "Functional well-being T-score (males aged 60-75)". DESCRIPTIVES VARIABLES=FACTG PWB SWB EWB FWB /STATISTICS=MEAN STDDEV MIN MAX SEMEAN. GRAPH /BAR(SIMPLE)=MEAN(FACTG_T_m_a3) MEAN(PWB_T_m_a3) MEAN(SWB_T_m_a3) MEAN(EWB_T_m_a3) MEAN(FWB_T_m_a3) /INTERVAL CI(95.0) /MISSING=LISTWISE /TITLE='T-scores for FACT sub- and global scales (males aged 60-75)'. T-TEST /TESTVAL=50 /MISSING=ANALYSIS /VARIABLES=FACTG_T_m_a3 PWB_T_m_a3 SWB_T_m_a3 EWB_T_m_a3 FWB_T_m_a3 /CRITERIA=CI(.95). . *===========================================. * 10. FACT-G scores for females aged 20-39 only. COMPUTE FACTG_Z_f_a1 = (FACTG - 85.6454)/15.14989. COMPUTE FACTG_T_f_a1 = (FACTG_Z_f_a1 *10) + 50. COMPUTE PWB_Z_f_a1 = (PWB - 24.7141)/3.63726. COMPUTE PWB_T_f_a1 = (PWB_Z_f_a1 *10) + 50. COMPUTE SWB_Z_f_a1 = (SWB - 19.9425)/6.16487. COMPUTE SWB_T_f_a1 = (SWB_Z_f_a1 *10) + 50. COMPUTE EWB_Z_f_a1 = (EWB - 20.6264)/4.09732. COMPUTE EWB_T_f_a1 = (EWB_Z_f_a1 *10) + 50. COMPUTE FWB_Z_f_a1 = (FWB - 20.4125)/5.82223. COMPUTE FWB_T_f_a1 = (FWB_Z_f_a1 *10) + 50. EXECUTE. VARIABLE LABELS FACTG_T_f_a1 "FACT G global T-score (males aged 60-75)" PWB_T_f_a1 "Physical well-being T-score (males aged 60-75)" SWB_T_f_a1 "Social well-being T-score (males aged 60-75)" EWB_T_f_a1 "Emotional well-being T-score (males aged 60-75)" FWB_T_f_a1 "Functional well-being T-score (males aged 60-75)". DESCRIPTIVES VARIABLES=FACTG PWB SWB EWB FWB /STATISTICS=MEAN STDDEV MIN MAX SEMEAN. GRAPH /BAR(SIMPLE)=MEAN(FACTG_T_f_a1) MEAN(PWB_T_f_a1) MEAN(SWB_T_f_a1) MEAN(EWB_T_f_a1) MEAN(FWB_T_f_a1) /INTERVAL CI(95.0) /MISSING=LISTWISE /TITLE='T-scores for FACT sub- and global scales (males aged 60-75)'. T-TEST /TESTVAL=50 /MISSING=ANALYSIS /VARIABLES=FACTG_T_f_a1 PWB_T_f_a1 SWB_T_f_a1 EWB_T_f_a1 FWB_T_f_a1 /CRITERIA=CI(.95). *===========================================. * 11. FACT-G scores for females aged 40-59 only. COMPUTE FACTG_Z_f_a2 = (FACTG - 86.1731)/15.77717. COMPUTE FACTG_T_f_a2 = (FACTG_Z_f_a2 *10) + 50. COMPUTE PWB_Z_f_a2 = (PWB - 24.9753)/3.90805. COMPUTE PWB_T_f_a2 = (PWB_Z_f_a2 *10) + 50. COMPUTE SWB_Z_f_a2 = (SWB - 19.7184)/6.52102. COMPUTE SWB_T_f_a2 = (SWB_Z_f_a2 *10) + 50. COMPUTE EWB_Z_f_a2 = (EWB - 20.7856)/3.75094. COMPUTE EWB_T_f_a2 = (EWB_Z_f_a2 *10) + 50. COMPUTE FWB_Z_f_a2 = (FWB - 20.5364)/6.27406. COMPUTE FWB_T_f_a2 = (FWB_Z_f_a2 *10) + 50. EXECUTE. VARIABLE LABELS FACTG_T_f_a2 "FACT G global T-score (males aged 60-75)" PWB_T_f_a2 "Physical well-being T-score (males aged 60-75)" SWB_T_f_a2 "Social well-being T-score (males aged 60-75)" EWB_T_f_a2 "Emotional well-being T-score (males aged 60-75)" FWB_T_f_a2 "Functional well-being T-score (males aged 60-75)". DESCRIPTIVES VARIABLES=FACTG PWB SWB EWB FWB /STATISTICS=MEAN STDDEV MIN MAX SEMEAN. GRAPH /BAR(SIMPLE)=MEAN(FACTG_T_f_a2) MEAN(PWB_T_f_a2) MEAN(SWB_T_f_a2) MEAN(EWB_T_f_a2) MEAN(FWB_T_f_a2) /INTERVAL CI(95.0) /MISSING=LISTWISE /TITLE='T-scores for FACT sub- and global scales (males aged 60-75)'. T-TEST /TESTVAL=50 /MISSING=ANALYSIS /VARIABLES=FACTG_T_f_a2 PWB_T_f_a2 SWB_T_f_a2 EWB_T_f_a2 FWB_T_f_a2 /CRITERIA=CI(.95). *===========================================. * 12. FACT-G scores for females aged 60-75 only. COMPUTE FACTG_Z_f_a3 = (FACTG - 87.4574)/15.04029. COMPUTE FACTG_T_f_a3 = (FACTG_Z_f_a3 *10) + 50. COMPUTE PWB_Z_f_a3 = (PWB - 25.0903)/3.54383. COMPUTE PWB_T_f_a3 = (PWB_Z_f_a3 *10) + 50. COMPUTE SWB_Z_f_a3 = (SWB - 20.2325)/6.77924. COMPUTE SWB_T_f_a3 = (SWB_Z_f_a3 *10) + 50. COMPUTE EWB_Z_f_a3 = (EWB - 21.2931)/3.61597. COMPUTE EWB_T_f_a3 = (EWB_Z_f_a3 *10) + 50. COMPUTE FWB_Z_f_a3 = (FWB - 20.5712)/6.68097. COMPUTE FWB_T_f_a3 = (FWB_Z_f_a3 *10) + 50. EXECUTE. VARIABLE LABELS FACTG_T_f_a3 "FACT G global T-score (males aged 60-75)" PWB_T_f_a3 "Physical well-being T-score (males aged 60-75)" SWB_T_f_a3 "Social well-being T-score (males aged 60-75)" EWB_T_f_a3 "Emotional well-being T-score (males aged 60-75)" FWB_T_f_a3 "Functional well-being T-score (males aged 60-75)". DESCRIPTIVES VARIABLES=FACTG PWB SWB EWB FWB /STATISTICS=MEAN STDDEV MIN MAX SEMEAN. GRAPH /BAR(SIMPLE)=MEAN(FACTG_T_f_a3) MEAN(PWB_T_f_a3) MEAN(SWB_T_f_a3) MEAN(EWB_T_f_a3) MEAN(FWB_T_f_a3) /INTERVAL CI(95.0) /MISSING=LISTWISE /TITLE='T-scores for FACT sub- and global scales (males aged 60-75)'. T-TEST /TESTVAL=50 /MISSING=ANALYSIS /VARIABLES=FACTG_T_f_a3 PWB_T_f_a3 SWB_T_f_a3 EWB_T_f_a3 FWB_T_f_a3 /CRITERIA=CI(.95). *===========================================.