* Encoding: UTF-8. DATASET ACTIVATE DataSet1. USE ALL. FREQUENCIES VARIABLES=GENDER CONDITION /ORDER=ANALYSIS. DESCRIPTIVES VARIABLES=AGE /STATISTICS=MEAN STDDEV MIN MAX. # Get stats for those who were included... USE ALL. COMPUTE filter_$=(ExclusionFilter = 1). VARIABLE LABELS filter_$ 'ExclusionFilter = 1 (FILTER)'. VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'. FORMATS filter_$ (f1.0). FILTER BY filter_$. EXECUTE. FREQUENCIES VARIABLES=GENDER CONDITION /ORDER=ANALYSIS. DESCRIPTIVES VARIABLES=AGE /STATISTICS=MEAN STDDEV MIN MAX. #Descriptives split by group SORT CASES BY CONDITION. SPLIT FILE SEPARATE BY CONDITION. FREQUENCIES VARIABLES=GENDER /ORDER=ANALYSIS. DESCRIPTIVES VARIABLES=AGE BL_HF_CHOICE BL_HEALTHY_TRAINED BL_HEALTHY_UNTRAINED BL_UNHEALTHY_TRAINED BL_UNHEALTHY_UNTRAINED FULLNESS /STATISTICS=MEAN STDDEV MIN MAX. SPLIT FILE OFF. #Baseline VAS ratings significance tests GLM BL_HEALTHY_TRAINED BL_UNHEALTHY_TRAINED BL_HEALTHY_UNTRAINED BL_UNHEALTHY_UNTRAINED /WSFACTOR=TRAINED 2 Polynomial HEALTH 2 Polynomial /METHOD=SSTYPE(3) /EMMEANS=TABLES(TRAINED) COMPARE ADJ(LSD) /EMMEANS=TABLES(HEALTH) COMPARE ADJ(LSD) /EMMEANS=TABLES(TRAINED*HEALTH) COMPARE (TRAINED) ADJ(LSD) /PRINT=DESCRIPTIVE ETASQ OPOWER /CRITERIA=ALPHA(.05) /WSDESIGN=TRAINED HEALTH TRAINED*HEALTH. #Training performance analyses GLM HFRT1 HFRT2 HFRT3 HFRT4 HFRT5 BY CONDITION /WSFACTOR=BLOCK 5 Polynomial /METHOD=SSTYPE(3) /PLOT=PROFILE(BLOCK*CONDITION) TYPE=LINE ERRORBAR=NO MEANREFERENCE=NO YAXIS=AUTO /EMMEANS=TABLES(CONDITION) COMPARE ADJ(BONFERRONI) /EMMEANS=TABLES(BLOCK) COMPARE ADJ(BONFERRONI) /EMMEANS=TABLES(CONDITION*BLOCK) COMPARE (BLOCK) ADJ(LSD) /PRINT=DESCRIPTIVE ETASQ OPOWER /CRITERIA=ALPHA(.05) /WSDESIGN=BLOCK /DESIGN=CONDITION. GLM UFErr1 UFErr2 UFErr3 UFErr4 UFErr5 BY CONDITION /WSFACTOR=BLOCK 5 Polynomial /METHOD=SSTYPE(3) /PLOT=PROFILE(BLOCK*CONDITION) TYPE=LINE ERRORBAR=NO MEANREFERENCE=NO YAXIS=AUTO /EMMEANS=TABLES(CONDITION) COMPARE ADJ(BONFERRONI) /EMMEANS=TABLES(BLOCK) COMPARE ADJ(BONFERRONI) /EMMEANS=TABLES(CONDITION*BLOCK) /PRINT=DESCRIPTIVE ETASQ OPOWER /CRITERIA=ALPHA(.05) /WSDESIGN=BLOCK /DESIGN=CONDITION. USE ALL. COMPUTE filter_$=(ExclusionFilter = 1 & Condition = 1). VARIABLE LABELS filter_$ 'ExclusionFilter = 1 & Condition = 1 (FILTER)'. VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'. FORMATS filter_$ (f1.0). FILTER BY filter_$. EXECUTE. GLM HFRT1 FilRT1 HFRT2 FilRT2 HFRT3 FilRT3 HFRT4 FilRT4 HFRT5 FilRT5 HFRT6 FilRT6 /WSFACTOR=BLOCK 6 Polynomial STIM_TYPE 2 Polynomial /METHOD=SSTYPE(3) /PLOT=PROFILE(BLOCK*STIM_TYPE) TYPE=LINE ERRORBAR=NO MEANREFERENCE=NO YAXIS=AUTO /EMMEANS=TABLES(BLOCK) COMPARE ADJ(BONFERRONI) /EMMEANS=TABLES(STIM_TYPE) COMPARE ADJ(BONFERRONI) /EMMEANS=TABLES(BLOCK*STIM_TYPE) /PRINT=DESCRIPTIVE ETASQ OPOWER /CRITERIA=ALPHA(.05) /WSDESIGN=BLOCK STIM_TYPE BLOCK*STIM_TYPE. GLM UFErr1 NoFillErr1 UFErr2 NoFillErr2 UFErr3 NoFillErr3 UFErr4 NoFillErr4 UFErr5 NoFillErr5 UFErr6 NoFillErr6 /WSFACTOR=BLOCK 6 Polynomial STIM_TYPE 2 Polynomial /METHOD=SSTYPE(3) /PLOT=PROFILE(BLOCK*STIM_TYPE) TYPE=LINE ERRORBAR=NO MEANREFERENCE=NO YAXIS=AUTO /EMMEANS=TABLES(BLOCK) COMPARE ADJ(BONFERRONI) /EMMEANS=TABLES(STIM_TYPE) COMPARE ADJ(BONFERRONI) /EMMEANS=TABLES(BLOCK*STIM_TYPE) /PRINT=DESCRIPTIVE ETASQ OPOWER /CRITERIA=ALPHA(.05) /WSDESIGN=BLOCK STIM_TYPE BLOCK*STIM_TYPE. #Food choices USE ALL. COMPUTE filter_$=(ExclusionFilter = 1). VARIABLE LABELS filter_$ 'ExclusionFilter = 1 (FILTER)'. VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'. FORMATS filter_$ (f1.0). FILTER BY filter_$. EXECUTE. UNIANOVA PT_HF_CHOICE BY CONDITION WITH BL_HF_CHOICE /METHOD=SSTYPE(3) /INTERCEPT=INCLUDE /EMMEANS=TABLES(CONDITION) WITH(BL_HF_CHOICE=MEAN) COMPARE ADJ(LSD) /PRINT ETASQ DESCRIPTIVE OPOWER /CRITERIA=ALPHA(.05) /DESIGN=BL_HF_CHOICE CONDITION. SORT CASES BY CONDITION. SPLIT FILE SEPARATE BY CONDITION. T-TEST PAIRS=BL_HF_CHOICE WITH PT_HF_CHOICE (PAIRED) /CRITERIA=CI(.9500) /MISSING=ANALYSIS. SPLIT FILE OFF. #Logistic regression first choice LOGISTIC REGRESSION VARIABLES PT_FIRST_CHOICE /METHOD=ENTER FOODT_DUM ACTIVE_DUM /CRITERIA=PIN(.05) POUT(.10) ITERATE(20) CUT(.5). #Real food choice FREQUENCIES VARIABLES=REAL_CHOICE /ORDER=ANALYSIS. LOGISTIC REGRESSION VARIABLES REAL_CHOICE /METHOD=ENTER FOODT_DUM ACTIVE_DUM /CRITERIA=PIN(.05) POUT(.10) ITERATE(20) CUT(.5). #Food rating analyses GLM BL_HEALTHY_TRAINED BL_UNHEALTHY_TRAINED PT_HEALTHY_TRAINED PT_UNHEALTHY_TRAINED BY CONDITION /WSFACTOR=TIME 2 Polynomial HEALTH 2 Polynomial /METHOD=SSTYPE(3) /PLOT=PROFILE(TIME*CONDITION*HEALTH) TYPE=LINE ERRORBAR=NO MEANREFERENCE=NO YAXIS=AUTO /EMMEANS=TABLES(CONDITION) COMPARE ADJ(LSD) /EMMEANS=TABLES(TIME) COMPARE ADJ(LSD) /EMMEANS=TABLES(HEALTH) COMPARE ADJ(LSD) /EMMEANS=TABLES(CONDITION*TIME) /EMMEANS=TABLES(CONDITION*HEALTH) /EMMEANS=TABLES(TIME*HEALTH) /EMMEANS=TABLES(CONDITION*TIME*HEALTH) /PRINT=DESCRIPTIVE ETASQ OPOWER /CRITERIA=ALPHA(.05) /WSDESIGN=TIME HEALTH TIME*HEALTH /DESIGN=CONDITION. #Awareness FREQUENCIES VARIABLES=CONTINGENCY_AWARE HEALTHY_AWARE TASKEFFECT_AWARE /ORDER=ANALYSIS. CROSSTABS /TABLES=CONDITION BY CONTINGENCY_AWARE HEALTHY_AWARE TASKEFFECT_AWARE /FORMAT=AVALUE TABLES /STATISTICS=CHISQ /CELLS=COUNT /COUNT ROUND CELL. UNIANOVA PT_HF_CHOICE BY CONDITION WITH BL_HF_CHOICE CONTINGENCY_AWARE HEALTHY_AWARE TASKEFFECT_AWARE /METHOD=SSTYPE(3) /INTERCEPT=INCLUDE /PRINT ETASQ DESCRIPTIVE OPOWER /CRITERIA=ALPHA(.05) /DESIGN=BL_HF_CHOICE CONTINGENCY_AWARE HEALTHY_AWARE TASKEFFECT_AWARE CONDITION.