* Encoding: UTF-8. * Encoding: . *select cases *All waves *A. SELECTION CRITERION: * - Only if provided consent * - No missing data * - Both checks correct USE ALL. COMPUTE filter_$=(Consent = 1 & NChecksRight = 2 & N_Missing=0). VARIABLE LABELS filter_$ 'Consent = 1 & NChecksRight = 2& N_Missing=0(FILTER)'. VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'. FORMATS filter_$ (f1.0). FILTER BY filter_$. EXECUTE. *COMPLIANCE W1 W2 W3 with CONTROLS UNIANOVA DV_Compliance_SC7 BY WAVE WITH Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other /METHOD=SSTYPE(3) /INTERCEPT=INCLUDE /EMMEANS=TABLES(OVERALL) WITH(Age=MEAN Gender_Female=MEAN Education=MEAN Corona_care=MEAN Minority=MEAN Insurance_Private=MEAN Insurance_Public=MEAN SES_before=MEAN SES_change=MEAN Health_self=MEAN Health_other=MEAN Trust_Science_SC4=MEAN Trust_in_media=MEAN Conservative_01=MEAN Conservative_other=MEAN) /EMMEANS=TABLES(WAVE) WITH(Age=MEAN Gender_Female=MEAN Education=MEAN Corona_care=MEAN Minority=MEAN Insurance_Private=MEAN Insurance_Public=MEAN SES_before=MEAN SES_change=MEAN Health_self=MEAN Health_other=MEAN Trust_Science_SC4=MEAN Trust_in_media=MEAN Conservative_01=MEAN Conservative_other=MEAN) /PRINT ETASQ DESCRIPTIVE /CRITERIA=ALPHA(.05) /ROBUST=HC3 /LMATRIX = "W1 vs W2" Wave -1 1 0 /LMATRIX = "W1 vs W3" Wave -1 0 1 /LMATRIX = "W2 vs W3" Wave 0 -1 1 /DESIGN=Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other WAVE. *COMPLIANCE W1 W2 W3 with CONTROLS (W1 reference category for robust parameter estimates) RECODE WAVE (1=3) (2=2) (3=1) INTO WAVE_R. EXECUTE. UNIANOVA DV_Compliance_SC7 BY WAVE_R WITH Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other /METHOD=SSTYPE(3) /INTERCEPT=INCLUDE /EMMEANS=TABLES(OVERALL) WITH(Age=MEAN Gender_Female=MEAN Education=MEAN Corona_care=MEAN Minority=MEAN Insurance_Private=MEAN Insurance_Public=MEAN SES_before=MEAN SES_change=MEAN Health_self=MEAN Health_other=MEAN Trust_Science_SC4=MEAN Trust_in_media=MEAN Conservative_01=MEAN Conservative_other=MEAN) /EMMEANS=TABLES(WAVE_R) WITH(Age=MEAN Gender_Female=MEAN Education=MEAN Corona_care=MEAN Minority=MEAN Insurance_Private=MEAN Insurance_Public=MEAN SES_before=MEAN SES_change=MEAN Health_self=MEAN Health_other=MEAN Trust_Science_SC4=MEAN Trust_in_media=MEAN Conservative_01=MEAN Conservative_other=MEAN) /PRINT ETASQ DESCRIPTIVE /CRITERIA=ALPHA(.05) /ROBUST=HC3 /LMATRIX = "W1 vs W2" Wave_R 0 1 -1 /LMATRIX = "W1 vs W3" Wave_R 1 0 -1 /LMATRIX = "W2 vs W3" Wave_R 1 -1 0 /DESIGN=Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other WAVE_R. GLM DV_SD_1 DV_SD_2 DV_SD_3 DV_SD_4 DV_SD_5 DV_SD_6 DV_SD_7 BY WAVE WITH Age Gender_Female Education Corona_care Health_self Trust_Science_SC4 /METHOD=SSTYPE(3) /INTERCEPT=INCLUDE /EMMEANS=TABLES(OVERALL) WITH(Age=MEAN Gender_Female=MEAN Education=MEAN Corona_care=MEAN Health_self=MEAN Trust_Science_SC4=MEAN) /EMMEANS=TABLES(WAVE) WITH(Age=MEAN Gender_Female=MEAN Education=MEAN Corona_care=MEAN Health_self=MEAN Trust_Science_SC4=MEAN) /PRINT ETASQ DESCRIPTIVE /CRITERIA=ALPHA(.05) /ROBUST=HC3 /DESIGN=Age Gender_Female Education Corona_care Health_self Trust_Science_SC4 WAVE. *ALWAYS COMPLY W1 W2 W3 with CONTROLS UNIANOVA DV_AlwaysComply_Freq BY WAVE WITH Age Gender_Female Education Corona_care Health_self Trust_Science_SC4 /METHOD=SSTYPE(3) /INTERCEPT=INCLUDE /EMMEANS=TABLES(OVERALL) WITH(Age=MEAN Gender_Female=MEAN Education=MEAN Corona_care=MEAN Health_self=MEAN Trust_Science_SC4=MEAN) /EMMEANS=TABLES(WAVE) WITH(Age=MEAN Gender_Female=MEAN Education=MEAN Corona_care=MEAN Health_self=MEAN Trust_Science_SC4=MEAN) /PRINT ETASQ DESCRIPTIVE /CRITERIA=ALPHA(.05) /ROBUST=HC3 /DESIGN=Age Gender_Female Education Corona_care Health_self Trust_Science_SC4 WAVE. *NBREG (Negative Binomial Regression) ALWAYS COMPLY W1 W2 W3 with CONTROLS (RUN BOTH) *W1 = reference genlin DV_AlwaysComply_Freq by WAVE (order = descending) with Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other /model WAVE Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other distribution = negbin(MLE) link=log. genlin DV_AlwaysComply_Freq by WAVE (order = descending) with Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other /model WAVE Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other distribution = negbin(MLE) link=log /print solution (exponentiated). *W3 = reference genlin DV_AlwaysComply_Freq by WAVE_R (order = descending) with Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other /model WAVE_R Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other distribution = negbin(MLE) link=log. genlin DV_AlwaysComply_Freq by WAVE_R (order = descending) with Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other /model WAVE_R Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other distribution = negbin(MLE) link=log /print solution (exponentiated). *LOG REG for binary DVs LOGISTIC REGRESSION VARIABLES DV_SD_1_count /METHOD=ENTER WAVE Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other /CONTRAST (WAVE)=Indicator(1) /CONTRAST (Gender_Female)=Indicator /CONTRAST (Employed)=Indicator /CONTRAST (Corona_care)=Indicator /CONTRAST (Minority)=Indicator /CONTRAST (Insurance_Private)=Indicator /CONTRAST (Insurance_Public)=Indicator /CONTRAST (Health_self)=Indicator /CONTRAST (Health_other)=Indicator /CONTRAST (Conservative_01)=Indicator /CONTRAST (Conservative_other)=Indicator /CRITERIA=PIN(.05) POUT(.10) ITERATE(20) CUT(.5). LOGISTIC REGRESSION VARIABLES DV_SD_1_count /METHOD=ENTER WAVE_R Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other /CONTRAST (WAVE_R)=Indicator(1) /CONTRAST (Gender_Female)=Indicator /CONTRAST (Employed)=Indicator /CONTRAST (Corona_care)=Indicator /CONTRAST (Minority)=Indicator /CONTRAST (Insurance_Private)=Indicator /CONTRAST (Insurance_Public)=Indicator /CONTRAST (Health_self)=Indicator /CONTRAST (Health_other)=Indicator /CONTRAST (Conservative_01)=Indicator /CONTRAST (Conservative_other)=Indicator /CRITERIA=PIN(.05) POUT(.10) ITERATE(20) CUT(.5). LOGISTIC REGRESSION VARIABLES DV_SD_2_count /METHOD=ENTER WAVE Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other /CONTRAST (WAVE)=Indicator(1) /CONTRAST (Gender_Female)=Indicator /CONTRAST (Employed)=Indicator /CONTRAST (Corona_care)=Indicator /CONTRAST (Minority)=Indicator /CONTRAST (Insurance_Private)=Indicator /CONTRAST (Insurance_Public)=Indicator /CONTRAST (Health_self)=Indicator /CONTRAST (Health_other)=Indicator /CONTRAST (Conservative_01)=Indicator /CONTRAST (Conservative_other)=Indicator /CRITERIA=PIN(.05) POUT(.10) ITERATE(20) CUT(.5). LOGISTIC REGRESSION VARIABLES DV_SD_2_count /METHOD=ENTER WAVE_R Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other /CONTRAST (WAVE_R)=Indicator(1) /CONTRAST (Gender_Female)=Indicator /CONTRAST (Employed)=Indicator /CONTRAST (Corona_care)=Indicator /CONTRAST (Minority)=Indicator /CONTRAST (Insurance_Private)=Indicator /CONTRAST (Insurance_Public)=Indicator /CONTRAST (Health_self)=Indicator /CONTRAST (Health_other)=Indicator /CONTRAST (Conservative_01)=Indicator /CONTRAST (Conservative_other)=Indicator /CRITERIA=PIN(.05) POUT(.10) ITERATE(20) CUT(.5). LOGISTIC REGRESSION VARIABLES DV_SD_3_count /METHOD=ENTER WAVE Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other /CONTRAST (WAVE)=Indicator(1) /CONTRAST (Gender_Female)=Indicator /CONTRAST (Employed)=Indicator /CONTRAST (Corona_care)=Indicator /CONTRAST (Minority)=Indicator /CONTRAST (Insurance_Private)=Indicator /CONTRAST (Insurance_Public)=Indicator /CONTRAST (Health_self)=Indicator /CONTRAST (Health_other)=Indicator /CONTRAST (Conservative_01)=Indicator /CONTRAST (Conservative_other)=Indicator /CRITERIA=PIN(.05) POUT(.10) ITERATE(20) CUT(.5). LOGISTIC REGRESSION VARIABLES DV_SD_3_count /METHOD=ENTER WAVE_R Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other /CONTRAST (WAVE_R)=Indicator(1) /CONTRAST (Gender_Female)=Indicator /CONTRAST (Employed)=Indicator /CONTRAST (Corona_care)=Indicator /CONTRAST (Minority)=Indicator /CONTRAST (Insurance_Private)=Indicator /CONTRAST (Insurance_Public)=Indicator /CONTRAST (Health_self)=Indicator /CONTRAST (Health_other)=Indicator /CONTRAST (Conservative_01)=Indicator /CONTRAST (Conservative_other)=Indicator /CRITERIA=PIN(.05) POUT(.10) ITERATE(20) CUT(.5). LOGISTIC REGRESSION VARIABLES DV_SD_4_count /METHOD=ENTER WAVE Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other /CONTRAST (WAVE)=Indicator(1) /CONTRAST (Gender_Female)=Indicator /CONTRAST (Employed)=Indicator /CONTRAST (Corona_care)=Indicator /CONTRAST (Minority)=Indicator /CONTRAST (Insurance_Private)=Indicator /CONTRAST (Insurance_Public)=Indicator /CONTRAST (Health_self)=Indicator /CONTRAST (Health_other)=Indicator /CONTRAST (Conservative_01)=Indicator /CONTRAST (Conservative_other)=Indicator /CRITERIA=PIN(.05) POUT(.10) ITERATE(20) CUT(.5). LOGISTIC REGRESSION VARIABLES DV_SD_4_count /METHOD=ENTER WAVE_R Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other /CONTRAST (WAVE_R)=Indicator(1) /CONTRAST (Gender_Female)=Indicator /CONTRAST (Employed)=Indicator /CONTRAST (Corona_care)=Indicator /CONTRAST (Minority)=Indicator /CONTRAST (Insurance_Private)=Indicator /CONTRAST (Insurance_Public)=Indicator /CONTRAST (Health_self)=Indicator /CONTRAST (Health_other)=Indicator /CONTRAST (Conservative_01)=Indicator /CONTRAST (Conservative_other)=Indicator /CRITERIA=PIN(.05) POUT(.10) ITERATE(20) CUT(.5). LOGISTIC REGRESSION VARIABLES DV_SD_5_count /METHOD=ENTER WAVE Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other /CONTRAST (WAVE)=Indicator(1) /CONTRAST (Gender_Female)=Indicator /CONTRAST (Employed)=Indicator /CONTRAST (Corona_care)=Indicator /CONTRAST (Minority)=Indicator /CONTRAST (Insurance_Private)=Indicator /CONTRAST (Insurance_Public)=Indicator /CONTRAST (Health_self)=Indicator /CONTRAST (Health_other)=Indicator /CONTRAST (Conservative_01)=Indicator /CONTRAST (Conservative_other)=Indicator /CRITERIA=PIN(.05) POUT(.10) ITERATE(20) CUT(.5). LOGISTIC REGRESSION VARIABLES DV_SD_5_count /METHOD=ENTER WAVE_R Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other /CONTRAST (WAVE_R)=Indicator(1) /CONTRAST (Gender_Female)=Indicator /CONTRAST (Employed)=Indicator /CONTRAST (Corona_care)=Indicator /CONTRAST (Minority)=Indicator /CONTRAST (Insurance_Private)=Indicator /CONTRAST (Insurance_Public)=Indicator /CONTRAST (Health_self)=Indicator /CONTRAST (Health_other)=Indicator /CONTRAST (Conservative_01)=Indicator /CONTRAST (Conservative_other)=Indicator /CRITERIA=PIN(.05) POUT(.10) ITERATE(20) CUT(.5). LOGISTIC REGRESSION VARIABLES DV_SD_6_count /METHOD=ENTER WAVE Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other /CONTRAST (WAVE)=Indicator(1) /CONTRAST (Gender_Female)=Indicator /CONTRAST (Employed)=Indicator /CONTRAST (Corona_care)=Indicator /CONTRAST (Minority)=Indicator /CONTRAST (Insurance_Private)=Indicator /CONTRAST (Insurance_Public)=Indicator /CONTRAST (Health_self)=Indicator /CONTRAST (Health_other)=Indicator /CONTRAST (Conservative_01)=Indicator /CONTRAST (Conservative_other)=Indicator /CRITERIA=PIN(.05) POUT(.10) ITERATE(20) CUT(.5). LOGISTIC REGRESSION VARIABLES DV_SD_6_count /METHOD=ENTER WAVE_R Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other /CONTRAST (WAVE_R)=Indicator(1) /CONTRAST (Gender_Female)=Indicator /CONTRAST (Employed)=Indicator /CONTRAST (Corona_care)=Indicator /CONTRAST (Minority)=Indicator /CONTRAST (Insurance_Private)=Indicator /CONTRAST (Insurance_Public)=Indicator /CONTRAST (Health_self)=Indicator /CONTRAST (Health_other)=Indicator /CONTRAST (Conservative_01)=Indicator /CONTRAST (Conservative_other)=Indicator /CRITERIA=PIN(.05) POUT(.10) ITERATE(20) CUT(.5). LOGISTIC REGRESSION VARIABLES DV_SD_7_count /METHOD=ENTER WAVE Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other /CONTRAST (WAVE)=Indicator(1) /CONTRAST (Gender_Female)=Indicator /CONTRAST (Employed)=Indicator /CONTRAST (Corona_care)=Indicator /CONTRAST (Minority)=Indicator /CONTRAST (Insurance_Private)=Indicator /CONTRAST (Insurance_Public)=Indicator /CONTRAST (Health_self)=Indicator /CONTRAST (Health_other)=Indicator /CONTRAST (Conservative_01)=Indicator /CONTRAST (Conservative_other)=Indicator /CRITERIA=PIN(.05) POUT(.10) ITERATE(20) CUT(.5). LOGISTIC REGRESSION VARIABLES DV_SD_7_count /METHOD=ENTER WAVE_R Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other /CONTRAST (WAVE_R)=Indicator(1) /CONTRAST (Gender_Female)=Indicator /CONTRAST (Employed)=Indicator /CONTRAST (Corona_care)=Indicator /CONTRAST (Minority)=Indicator /CONTRAST (Insurance_Private)=Indicator /CONTRAST (Insurance_Public)=Indicator /CONTRAST (Health_self)=Indicator /CONTRAST (Health_other)=Indicator /CONTRAST (Conservative_01)=Indicator /CONTRAST (Conservative_other)=Indicator /CRITERIA=PIN(.05) POUT(.10) ITERATE(20) CUT(.5). LOGISTIC REGRESSION VARIABLES Current_measures /METHOD=ENTER WAVE Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other /CONTRAST (WAVE)=Indicator(1) /CONTRAST (Gender_Female)=Indicator /CONTRAST (Employed)=Indicator /CONTRAST (Corona_care)=Indicator /CONTRAST (Minority)=Indicator /CONTRAST (Insurance_Private)=Indicator /CONTRAST (Insurance_Public)=Indicator /CONTRAST (Health_self)=Indicator /CONTRAST (Health_other)=Indicator /CONTRAST (Conservative_01)=Indicator /CONTRAST (Conservative_other)=Indicator /CRITERIA=PIN(.05) POUT(.10) ITERATE(20) CUT(.5). LOGISTIC REGRESSION VARIABLES Current_measures /METHOD=ENTER WAVE_R Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other /CONTRAST (WAVE_R)=Indicator(1) /CONTRAST (Gender_Female)=Indicator /CONTRAST (Employed)=Indicator /CONTRAST (Corona_care)=Indicator /CONTRAST (Minority)=Indicator /CONTRAST (Insurance_Private)=Indicator /CONTRAST (Insurance_Public)=Indicator /CONTRAST (Health_self)=Indicator /CONTRAST (Health_other)=Indicator /CONTRAST (Conservative_01)=Indicator /CONTRAST (Conservative_other)=Indicator /CRITERIA=PIN(.05) POUT(.10) ITERATE(20) CUT(.5). *IVs across waves UNIANOVA CTC_SC7 BY WAVE WITH Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other /METHOD=SSTYPE(3) /INTERCEPT=INCLUDE /EMMEANS=TABLES(OVERALL) WITH(Age=MEAN Gender_Female=MEAN Education=MEAN Corona_care=MEAN Minority=MEAN Insurance_Private=MEAN Insurance_Public=MEAN SES_before=MEAN SES_change=MEAN Health_self=MEAN Health_other=MEAN Trust_Science_SC4=MEAN Trust_in_media=MEAN Conservative_01=MEAN Conservative_other=MEAN) /EMMEANS=TABLES(WAVE) WITH(Age=MEAN Gender_Female=MEAN Education=MEAN Corona_care=MEAN Minority=MEAN Insurance_Private=MEAN Insurance_Public=MEAN SES_before=MEAN SES_change=MEAN Health_self=MEAN Health_other=MEAN Trust_Science_SC4=MEAN Trust_in_media=MEAN Conservative_01=MEAN Conservative_other=MEAN) /PRINT ETASQ DESCRIPTIVE /CRITERIA=ALPHA(.05) /ROBUST=HC3 /LMATRIX = "W1 vs W2" Wave -1 1 0 /LMATRIX = "W1 vs W3" Wave -1 0 1 /LMATRIX = "W2 vs W3" Wave 0 -1 1 /DESIGN=Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other WAVE. UNIANOVA CTC_SC7 BY WAVE_R WITH Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other /METHOD=SSTYPE(3) /INTERCEPT=INCLUDE /EMMEANS=TABLES(OVERALL) WITH(Age=MEAN Gender_Female=MEAN Education=MEAN Corona_care=MEAN Minority=MEAN Insurance_Private=MEAN Insurance_Public=MEAN SES_before=MEAN SES_change=MEAN Health_self=MEAN Health_other=MEAN Trust_Science_SC4=MEAN Trust_in_media=MEAN Conservative_01=MEAN Conservative_other=MEAN) /EMMEANS=TABLES(WAVE_R) WITH(Age=MEAN Gender_Female=MEAN Education=MEAN Corona_care=MEAN Minority=MEAN Insurance_Private=MEAN Insurance_Public=MEAN SES_before=MEAN SES_change=MEAN Health_self=MEAN Health_other=MEAN Trust_Science_SC4=MEAN Trust_in_media=MEAN Conservative_01=MEAN Conservative_other=MEAN) /PRINT ETASQ DESCRIPTIVE /CRITERIA=ALPHA(.05) /ROBUST=HC3 /LMATRIX = "W1 vs W2" Wave_R 0 1 -1 /LMATRIX = "W1 vs W3" Wave_R 1 0 -1 /LMATRIX = "W2 vs W3" Wave_R 1 -1 0 /DESIGN=Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other WAVE_R. UNIANOVA Measures_clear BY WAVE WITH Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other /METHOD=SSTYPE(3) /INTERCEPT=INCLUDE /EMMEANS=TABLES(OVERALL) WITH(Age=MEAN Gender_Female=MEAN Education=MEAN Corona_care=MEAN Minority=MEAN Insurance_Private=MEAN Insurance_Public=MEAN SES_before=MEAN SES_change=MEAN Health_self=MEAN Health_other=MEAN Trust_Science_SC4=MEAN Trust_in_media=MEAN Conservative_01=MEAN Conservative_other=MEAN) /EMMEANS=TABLES(WAVE) WITH(Age=MEAN Gender_Female=MEAN Education=MEAN Corona_care=MEAN Minority=MEAN Insurance_Private=MEAN Insurance_Public=MEAN SES_before=MEAN SES_change=MEAN Health_self=MEAN Health_other=MEAN Trust_Science_SC4=MEAN Trust_in_media=MEAN Conservative_01=MEAN Conservative_other=MEAN) /PRINT ETASQ DESCRIPTIVE /CRITERIA=ALPHA(.05) /ROBUST=HC3 /LMATRIX = "W1 vs W2" Wave -1 1 0 /LMATRIX = "W1 vs W3" Wave -1 0 1 /LMATRIX = "W2 vs W3" Wave 0 -1 1 /DESIGN=Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other WAVE. UNIANOVA Measures_clear BY WAVE_R WITH Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other /METHOD=SSTYPE(3) /INTERCEPT=INCLUDE /EMMEANS=TABLES(OVERALL) WITH(Age=MEAN Gender_Female=MEAN Education=MEAN Corona_care=MEAN Minority=MEAN Insurance_Private=MEAN Insurance_Public=MEAN SES_before=MEAN SES_change=MEAN Health_self=MEAN Health_other=MEAN Trust_Science_SC4=MEAN Trust_in_media=MEAN Conservative_01=MEAN Conservative_other=MEAN) /EMMEANS=TABLES(WAVE_R) WITH(Age=MEAN Gender_Female=MEAN Education=MEAN Corona_care=MEAN Minority=MEAN Insurance_Private=MEAN Insurance_Public=MEAN SES_before=MEAN SES_change=MEAN Health_self=MEAN Health_other=MEAN Trust_Science_SC4=MEAN Trust_in_media=MEAN Conservative_01=MEAN Conservative_other=MEAN) /PRINT ETASQ DESCRIPTIVE /CRITERIA=ALPHA(.05) /ROBUST=HC3 /LMATRIX = "W1 vs W2" Wave_R 0 1 -1 /LMATRIX = "W1 vs W3" Wave_R 1 0 -1 /LMATRIX = "W2 vs W3" Wave_R 1 -1 0 /DESIGN=Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other WAVE_R. UNIANOVA OTC_SC7 BY WAVE WITH Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other /METHOD=SSTYPE(3) /INTERCEPT=INCLUDE /EMMEANS=TABLES(OVERALL) WITH(Age=MEAN Gender_Female=MEAN Education=MEAN Corona_care=MEAN Minority=MEAN Insurance_Private=MEAN Insurance_Public=MEAN SES_before=MEAN SES_change=MEAN Health_self=MEAN Health_other=MEAN Trust_Science_SC4=MEAN Trust_in_media=MEAN Conservative_01=MEAN Conservative_other=MEAN) /EMMEANS=TABLES(WAVE) WITH(Age=MEAN Gender_Female=MEAN Education=MEAN Corona_care=MEAN Minority=MEAN Insurance_Private=MEAN Insurance_Public=MEAN SES_before=MEAN SES_change=MEAN Health_self=MEAN Health_other=MEAN Trust_Science_SC4=MEAN Trust_in_media=MEAN Conservative_01=MEAN Conservative_other=MEAN) /PRINT ETASQ DESCRIPTIVE /CRITERIA=ALPHA(.05) /ROBUST=HC3 /LMATRIX = "W1 vs W2" Wave -1 1 0 /LMATRIX = "W1 vs W3" Wave -1 0 1 /LMATRIX = "W2 vs W3" Wave 0 -1 1 /DESIGN=Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other WAVE. UNIANOVA OTC_SC7 BY WAVE_R WITH Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other /METHOD=SSTYPE(3) /INTERCEPT=INCLUDE /EMMEANS=TABLES(OVERALL) WITH(Age=MEAN Gender_Female=MEAN Education=MEAN Corona_care=MEAN Minority=MEAN Insurance_Private=MEAN Insurance_Public=MEAN SES_before=MEAN SES_change=MEAN Health_self=MEAN Health_other=MEAN Trust_Science_SC4=MEAN Trust_in_media=MEAN Conservative_01=MEAN Conservative_other=MEAN) /EMMEANS=TABLES(WAVE_R) WITH(Age=MEAN Gender_Female=MEAN Education=MEAN Corona_care=MEAN Minority=MEAN Insurance_Private=MEAN Insurance_Public=MEAN SES_before=MEAN SES_change=MEAN Health_self=MEAN Health_other=MEAN Trust_Science_SC4=MEAN Trust_in_media=MEAN Conservative_01=MEAN Conservative_other=MEAN) /PRINT ETASQ DESCRIPTIVE /CRITERIA=ALPHA(.05) /ROBUST=HC3 /LMATRIX = "W1 vs W2" Wave_R 0 1 -1 /LMATRIX = "W1 vs W3" Wave_R 1 0 -1 /LMATRIX = "W2 vs W3" Wave_R 1 -1 0 /DESIGN=Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other WAVE_R. UNIANOVA SN_SC7 BY WAVE WITH Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other /METHOD=SSTYPE(3) /INTERCEPT=INCLUDE /EMMEANS=TABLES(OVERALL) WITH(Age=MEAN Gender_Female=MEAN Education=MEAN Corona_care=MEAN Minority=MEAN Insurance_Private=MEAN Insurance_Public=MEAN SES_before=MEAN SES_change=MEAN Health_self=MEAN Health_other=MEAN Trust_Science_SC4=MEAN Trust_in_media=MEAN Conservative_01=MEAN Conservative_other=MEAN) /EMMEANS=TABLES(WAVE) WITH(Age=MEAN Gender_Female=MEAN Education=MEAN Corona_care=MEAN Minority=MEAN Insurance_Private=MEAN Insurance_Public=MEAN SES_before=MEAN SES_change=MEAN Health_self=MEAN Health_other=MEAN Trust_Science_SC4=MEAN Trust_in_media=MEAN Conservative_01=MEAN Conservative_other=MEAN) /PRINT ETASQ DESCRIPTIVE /CRITERIA=ALPHA(.05) /ROBUST=HC3 /LMATRIX = "W1 vs W2" Wave -1 1 0 /LMATRIX = "W1 vs W3" Wave -1 0 1 /LMATRIX = "W2 vs W3" Wave 0 -1 1 /DESIGN=Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other WAVE. UNIANOVA SN_SC7 BY WAVE_R WITH Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other /METHOD=SSTYPE(3) /INTERCEPT=INCLUDE /EMMEANS=TABLES(OVERALL) WITH(Age=MEAN Gender_Female=MEAN Education=MEAN Corona_care=MEAN Minority=MEAN Insurance_Private=MEAN Insurance_Public=MEAN SES_before=MEAN SES_change=MEAN Health_self=MEAN Health_other=MEAN Trust_Science_SC4=MEAN Trust_in_media=MEAN Conservative_01=MEAN Conservative_other=MEAN) /EMMEANS=TABLES(WAVE_R) WITH(Age=MEAN Gender_Female=MEAN Education=MEAN Corona_care=MEAN Minority=MEAN Insurance_Private=MEAN Insurance_Public=MEAN SES_before=MEAN SES_change=MEAN Health_self=MEAN Health_other=MEAN Trust_Science_SC4=MEAN Trust_in_media=MEAN Conservative_01=MEAN Conservative_other=MEAN) /PRINT ETASQ DESCRIPTIVE /CRITERIA=ALPHA(.05) /ROBUST=HC3 /LMATRIX = "W1 vs W2" Wave_R 0 1 -1 /LMATRIX = "W1 vs W3" Wave_R 1 0 -1 /LMATRIX = "W2 vs W3" Wave_R 1 -1 0 /DESIGN=Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other WAVE_R. UNIANOVA MA_MoralBelief BY WAVE WITH Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other /METHOD=SSTYPE(3) /INTERCEPT=INCLUDE /EMMEANS=TABLES(OVERALL) WITH(Age=MEAN Gender_Female=MEAN Education=MEAN Corona_care=MEAN Minority=MEAN Insurance_Private=MEAN Insurance_Public=MEAN SES_before=MEAN SES_change=MEAN Health_self=MEAN Health_other=MEAN Trust_Science_SC4=MEAN Trust_in_media=MEAN Conservative_01=MEAN Conservative_other=MEAN) /EMMEANS=TABLES(WAVE) WITH(Age=MEAN Gender_Female=MEAN Education=MEAN Corona_care=MEAN Minority=MEAN Insurance_Private=MEAN Insurance_Public=MEAN SES_before=MEAN SES_change=MEAN Health_self=MEAN Health_other=MEAN Trust_Science_SC4=MEAN Trust_in_media=MEAN Conservative_01=MEAN Conservative_other=MEAN) /PRINT ETASQ DESCRIPTIVE /CRITERIA=ALPHA(.05) /ROBUST=HC3 /LMATRIX = "W1 vs W2" Wave -1 1 0 /LMATRIX = "W1 vs W3" Wave -1 0 1 /LMATRIX = "W2 vs W3" Wave 0 -1 1 /DESIGN=Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other WAVE. UNIANOVA MA_MoralBelief BY WAVE_R WITH Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other /METHOD=SSTYPE(3) /INTERCEPT=INCLUDE /EMMEANS=TABLES(OVERALL) WITH(Age=MEAN Gender_Female=MEAN Education=MEAN Corona_care=MEAN Minority=MEAN Insurance_Private=MEAN Insurance_Public=MEAN SES_before=MEAN SES_change=MEAN Health_self=MEAN Health_other=MEAN Trust_Science_SC4=MEAN Trust_in_media=MEAN Conservative_01=MEAN Conservative_other=MEAN) /EMMEANS=TABLES(WAVE_R) WITH(Age=MEAN Gender_Female=MEAN Education=MEAN Corona_care=MEAN Minority=MEAN Insurance_Private=MEAN Insurance_Public=MEAN SES_before=MEAN SES_change=MEAN Health_self=MEAN Health_other=MEAN Trust_Science_SC4=MEAN Trust_in_media=MEAN Conservative_01=MEAN Conservative_other=MEAN) /PRINT ETASQ DESCRIPTIVE /CRITERIA=ALPHA(.05) /ROBUST=HC3 /LMATRIX = "W1 vs W2" Wave_R 0 1 -1 /LMATRIX = "W1 vs W3" Wave_R 1 0 -1 /LMATRIX = "W2 vs W3" Wave_R 1 -1 0 /DESIGN=Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other WAVE_R. UNIANOVA MA_Authority_SC2 BY WAVE WITH Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other /METHOD=SSTYPE(3) /INTERCEPT=INCLUDE /EMMEANS=TABLES(OVERALL) WITH(Age=MEAN Gender_Female=MEAN Education=MEAN Corona_care=MEAN Minority=MEAN Insurance_Private=MEAN Insurance_Public=MEAN SES_before=MEAN SES_change=MEAN Health_self=MEAN Health_other=MEAN Trust_Science_SC4=MEAN Trust_in_media=MEAN Conservative_01=MEAN Conservative_other=MEAN) /EMMEANS=TABLES(WAVE) WITH(Age=MEAN Gender_Female=MEAN Education=MEAN Corona_care=MEAN Minority=MEAN Insurance_Private=MEAN Insurance_Public=MEAN SES_before=MEAN SES_change=MEAN Health_self=MEAN Health_other=MEAN Trust_Science_SC4=MEAN Trust_in_media=MEAN Conservative_01=MEAN Conservative_other=MEAN) /PRINT ETASQ DESCRIPTIVE /CRITERIA=ALPHA(.05) /ROBUST=HC3 /LMATRIX = "W1 vs W2" Wave -1 1 0 /LMATRIX = "W1 vs W3" Wave -1 0 1 /LMATRIX = "W2 vs W3" Wave 0 -1 1 /DESIGN=Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other WAVE. UNIANOVA MA_Authority_SC2 BY WAVE_R WITH Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other /METHOD=SSTYPE(3) /INTERCEPT=INCLUDE /EMMEANS=TABLES(OVERALL) WITH(Age=MEAN Gender_Female=MEAN Education=MEAN Corona_care=MEAN Minority=MEAN Insurance_Private=MEAN Insurance_Public=MEAN SES_before=MEAN SES_change=MEAN Health_self=MEAN Health_other=MEAN Trust_Science_SC4=MEAN Trust_in_media=MEAN Conservative_01=MEAN Conservative_other=MEAN) /EMMEANS=TABLES(WAVE_R) WITH(Age=MEAN Gender_Female=MEAN Education=MEAN Corona_care=MEAN Minority=MEAN Insurance_Private=MEAN Insurance_Public=MEAN SES_before=MEAN SES_change=MEAN Health_self=MEAN Health_other=MEAN Trust_Science_SC4=MEAN Trust_in_media=MEAN Conservative_01=MEAN Conservative_other=MEAN) /PRINT ETASQ DESCRIPTIVE /CRITERIA=ALPHA(.05) /ROBUST=HC3 /LMATRIX = "W1 vs W2" Wave_R 0 1 -1 /LMATRIX = "W1 vs W3" Wave_R 1 0 -1 /LMATRIX = "W2 vs W3" Wave_R 1 -1 0 /DESIGN=Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other WAVE_R. UNIANOVA NOO_SC3 BY WAVE WITH Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other /METHOD=SSTYPE(3) /INTERCEPT=INCLUDE /EMMEANS=TABLES(OVERALL) WITH(Age=MEAN Gender_Female=MEAN Education=MEAN Corona_care=MEAN Minority=MEAN Insurance_Private=MEAN Insurance_Public=MEAN SES_before=MEAN SES_change=MEAN Health_self=MEAN Health_other=MEAN Trust_Science_SC4=MEAN Trust_in_media=MEAN Conservative_01=MEAN Conservative_other=MEAN) /EMMEANS=TABLES(WAVE) WITH(Age=MEAN Gender_Female=MEAN Education=MEAN Corona_care=MEAN Minority=MEAN Insurance_Private=MEAN Insurance_Public=MEAN SES_before=MEAN SES_change=MEAN Health_self=MEAN Health_other=MEAN Trust_Science_SC4=MEAN Trust_in_media=MEAN Conservative_01=MEAN Conservative_other=MEAN) /PRINT ETASQ DESCRIPTIVE /CRITERIA=ALPHA(.05) /ROBUST=HC3 /LMATRIX = "W1 vs W2" Wave -1 1 0 /LMATRIX = "W1 vs W3" Wave -1 0 1 /LMATRIX = "W2 vs W3" Wave 0 -1 1 /DESIGN=Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other WAVE. UNIANOVA NOO_SC3 BY WAVE_R WITH Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other /METHOD=SSTYPE(3) /INTERCEPT=INCLUDE /EMMEANS=TABLES(OVERALL) WITH(Age=MEAN Gender_Female=MEAN Education=MEAN Corona_care=MEAN Minority=MEAN Insurance_Private=MEAN Insurance_Public=MEAN SES_before=MEAN SES_change=MEAN Health_self=MEAN Health_other=MEAN Trust_Science_SC4=MEAN Trust_in_media=MEAN Conservative_01=MEAN Conservative_other=MEAN) /EMMEANS=TABLES(WAVE_R) WITH(Age=MEAN Gender_Female=MEAN Education=MEAN Corona_care=MEAN Minority=MEAN Insurance_Private=MEAN Insurance_Public=MEAN SES_before=MEAN SES_change=MEAN Health_self=MEAN Health_other=MEAN Trust_Science_SC4=MEAN Trust_in_media=MEAN Conservative_01=MEAN Conservative_other=MEAN) /PRINT ETASQ DESCRIPTIVE /CRITERIA=ALPHA(.05) /ROBUST=HC3 /LMATRIX = "W1 vs W2" Wave_R 0 1 -1 /LMATRIX = "W1 vs W3" Wave_R 1 0 -1 /LMATRIX = "W2 vs W3" Wave_R 1 -1 0 /DESIGN=Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other WAVE_R. UNIANOVA NNOO_SC3 BY WAVE WITH Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other /METHOD=SSTYPE(3) /INTERCEPT=INCLUDE /EMMEANS=TABLES(OVERALL) WITH(Age=MEAN Gender_Female=MEAN Education=MEAN Corona_care=MEAN Minority=MEAN Insurance_Private=MEAN Insurance_Public=MEAN SES_before=MEAN SES_change=MEAN Health_self=MEAN Health_other=MEAN Trust_Science_SC4=MEAN Trust_in_media=MEAN Conservative_01=MEAN Conservative_other=MEAN) /EMMEANS=TABLES(WAVE) WITH(Age=MEAN Gender_Female=MEAN Education=MEAN Corona_care=MEAN Minority=MEAN Insurance_Private=MEAN Insurance_Public=MEAN SES_before=MEAN SES_change=MEAN Health_self=MEAN Health_other=MEAN Trust_Science_SC4=MEAN Trust_in_media=MEAN Conservative_01=MEAN Conservative_other=MEAN) /PRINT ETASQ DESCRIPTIVE /CRITERIA=ALPHA(.05) /ROBUST=HC3 /LMATRIX = "W1 vs W2" Wave -1 1 0 /LMATRIX = "W1 vs W3" Wave -1 0 1 /LMATRIX = "W2 vs W3" Wave 0 -1 1 /DESIGN=Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other WAVE. UNIANOVA NNOO_SC3 BY WAVE_R WITH Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other /METHOD=SSTYPE(3) /INTERCEPT=INCLUDE /EMMEANS=TABLES(OVERALL) WITH(Age=MEAN Gender_Female=MEAN Education=MEAN Corona_care=MEAN Minority=MEAN Insurance_Private=MEAN Insurance_Public=MEAN SES_before=MEAN SES_change=MEAN Health_self=MEAN Health_other=MEAN Trust_Science_SC4=MEAN Trust_in_media=MEAN Conservative_01=MEAN Conservative_other=MEAN) /EMMEANS=TABLES(WAVE_R) WITH(Age=MEAN Gender_Female=MEAN Education=MEAN Corona_care=MEAN Minority=MEAN Insurance_Private=MEAN Insurance_Public=MEAN SES_before=MEAN SES_change=MEAN Health_self=MEAN Health_other=MEAN Trust_Science_SC4=MEAN Trust_in_media=MEAN Conservative_01=MEAN Conservative_other=MEAN) /PRINT ETASQ DESCRIPTIVE /CRITERIA=ALPHA(.05) /ROBUST=HC3 /LMATRIX = "W1 vs W2" Wave_R 0 1 -1 /LMATRIX = "W1 vs W3" Wave_R 1 0 -1 /LMATRIX = "W2 vs W3" Wave_R 1 -1 0 /DESIGN=Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other WAVE_R. UNIANOVA OOL_SC12 BY WAVE WITH Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other /METHOD=SSTYPE(3) /INTERCEPT=INCLUDE /EMMEANS=TABLES(OVERALL) WITH(Age=MEAN Gender_Female=MEAN Education=MEAN Corona_care=MEAN Minority=MEAN Insurance_Private=MEAN Insurance_Public=MEAN SES_before=MEAN SES_change=MEAN Health_self=MEAN Health_other=MEAN Trust_Science_SC4=MEAN Trust_in_media=MEAN Conservative_01=MEAN Conservative_other=MEAN) /EMMEANS=TABLES(WAVE) WITH(Age=MEAN Gender_Female=MEAN Education=MEAN Corona_care=MEAN Minority=MEAN Insurance_Private=MEAN Insurance_Public=MEAN SES_before=MEAN SES_change=MEAN Health_self=MEAN Health_other=MEAN Trust_Science_SC4=MEAN Trust_in_media=MEAN Conservative_01=MEAN Conservative_other=MEAN) /PRINT ETASQ DESCRIPTIVE /CRITERIA=ALPHA(.05) /ROBUST=HC3 /LMATRIX = "W1 vs W2" Wave -1 1 0 /LMATRIX = "W1 vs W3" Wave -1 0 1 /LMATRIX = "W2 vs W3" Wave 0 -1 1 /DESIGN=Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other WAVE. UNIANOVA OOL_SC12 BY WAVE_R WITH Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other /METHOD=SSTYPE(3) /INTERCEPT=INCLUDE /EMMEANS=TABLES(OVERALL) WITH(Age=MEAN Gender_Female=MEAN Education=MEAN Corona_care=MEAN Minority=MEAN Insurance_Private=MEAN Insurance_Public=MEAN SES_before=MEAN SES_change=MEAN Health_self=MEAN Health_other=MEAN Trust_Science_SC4=MEAN Trust_in_media=MEAN Conservative_01=MEAN Conservative_other=MEAN) /EMMEANS=TABLES(WAVE_R) WITH(Age=MEAN Gender_Female=MEAN Education=MEAN Corona_care=MEAN Minority=MEAN Insurance_Private=MEAN Insurance_Public=MEAN SES_before=MEAN SES_change=MEAN Health_self=MEAN Health_other=MEAN Trust_Science_SC4=MEAN Trust_in_media=MEAN Conservative_01=MEAN Conservative_other=MEAN) /PRINT ETASQ DESCRIPTIVE /CRITERIA=ALPHA(.05) /ROBUST=HC3 /LMATRIX = "W1 vs W2" Wave_R 0 1 -1 /LMATRIX = "W1 vs W3" Wave_R 1 0 -1 /LMATRIX = "W2 vs W3" Wave_R 1 -1 0 /DESIGN=Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other WAVE_R. UNIANOVA PJE_SC4 BY WAVE WITH Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other /METHOD=SSTYPE(3) /INTERCEPT=INCLUDE /EMMEANS=TABLES(OVERALL) WITH(Age=MEAN Gender_Female=MEAN Education=MEAN Corona_care=MEAN Minority=MEAN Insurance_Private=MEAN Insurance_Public=MEAN SES_before=MEAN SES_change=MEAN Health_self=MEAN Health_other=MEAN Trust_Science_SC4=MEAN Trust_in_media=MEAN Conservative_01=MEAN Conservative_other=MEAN) /EMMEANS=TABLES(WAVE) WITH(Age=MEAN Gender_Female=MEAN Education=MEAN Corona_care=MEAN Minority=MEAN Insurance_Private=MEAN Insurance_Public=MEAN SES_before=MEAN SES_change=MEAN Health_self=MEAN Health_other=MEAN Trust_Science_SC4=MEAN Trust_in_media=MEAN Conservative_01=MEAN Conservative_other=MEAN) /PRINT ETASQ DESCRIPTIVE /CRITERIA=ALPHA(.05) /ROBUST=HC3 /LMATRIX = "W1 vs W2" Wave -1 1 0 /LMATRIX = "W1 vs W3" Wave -1 0 1 /LMATRIX = "W2 vs W3" Wave 0 -1 1 /DESIGN=Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other WAVE. UNIANOVA PJE_SC4 BY WAVE_R WITH Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other /METHOD=SSTYPE(3) /INTERCEPT=INCLUDE /EMMEANS=TABLES(OVERALL) WITH(Age=MEAN Gender_Female=MEAN Education=MEAN Corona_care=MEAN Minority=MEAN Insurance_Private=MEAN Insurance_Public=MEAN SES_before=MEAN SES_change=MEAN Health_self=MEAN Health_other=MEAN Trust_Science_SC4=MEAN Trust_in_media=MEAN Conservative_01=MEAN Conservative_other=MEAN) /EMMEANS=TABLES(WAVE_R) WITH(Age=MEAN Gender_Female=MEAN Education=MEAN Corona_care=MEAN Minority=MEAN Insurance_Private=MEAN Insurance_Public=MEAN SES_before=MEAN SES_change=MEAN Health_self=MEAN Health_other=MEAN Trust_Science_SC4=MEAN Trust_in_media=MEAN Conservative_01=MEAN Conservative_other=MEAN) /PRINT ETASQ DESCRIPTIVE /CRITERIA=ALPHA(.05) /ROBUST=HC3 /LMATRIX = "W1 vs W2" Wave_R 0 1 -1 /LMATRIX = "W1 vs W3" Wave_R 1 0 -1 /LMATRIX = "W2 vs W3" Wave_R 1 -1 0 /DESIGN=Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other WAVE_R. UNIANOVA Costs_SC5 BY WAVE WITH Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other /METHOD=SSTYPE(3) /INTERCEPT=INCLUDE /EMMEANS=TABLES(OVERALL) WITH(Age=MEAN Gender_Female=MEAN Education=MEAN Corona_care=MEAN Minority=MEAN Insurance_Private=MEAN Insurance_Public=MEAN SES_before=MEAN SES_change=MEAN Health_self=MEAN Health_other=MEAN Trust_Science_SC4=MEAN Trust_in_media=MEAN Conservative_01=MEAN Conservative_other=MEAN) /EMMEANS=TABLES(WAVE) WITH(Age=MEAN Gender_Female=MEAN Education=MEAN Corona_care=MEAN Minority=MEAN Insurance_Private=MEAN Insurance_Public=MEAN SES_before=MEAN SES_change=MEAN Health_self=MEAN Health_other=MEAN Trust_Science_SC4=MEAN Trust_in_media=MEAN Conservative_01=MEAN Conservative_other=MEAN) /PRINT ETASQ DESCRIPTIVE /CRITERIA=ALPHA(.05) /ROBUST=HC3 /LMATRIX = "W1 vs W2" Wave -1 1 0 /LMATRIX = "W1 vs W3" Wave -1 0 1 /LMATRIX = "W2 vs W3" Wave 0 -1 1 /DESIGN=Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other WAVE. UNIANOVA Costs_SC5 BY WAVE_R WITH Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other /METHOD=SSTYPE(3) /INTERCEPT=INCLUDE /EMMEANS=TABLES(OVERALL) WITH(Age=MEAN Gender_Female=MEAN Education=MEAN Corona_care=MEAN Minority=MEAN Insurance_Private=MEAN Insurance_Public=MEAN SES_before=MEAN SES_change=MEAN Health_self=MEAN Health_other=MEAN Trust_Science_SC4=MEAN Trust_in_media=MEAN Conservative_01=MEAN Conservative_other=MEAN) /EMMEANS=TABLES(WAVE_R) WITH(Age=MEAN Gender_Female=MEAN Education=MEAN Corona_care=MEAN Minority=MEAN Insurance_Private=MEAN Insurance_Public=MEAN SES_before=MEAN SES_change=MEAN Health_self=MEAN Health_other=MEAN Trust_Science_SC4=MEAN Trust_in_media=MEAN Conservative_01=MEAN Conservative_other=MEAN) /PRINT ETASQ DESCRIPTIVE /CRITERIA=ALPHA(.05) /ROBUST=HC3 /LMATRIX = "W1 vs W2" Wave_R 0 1 -1 /LMATRIX = "W1 vs W3" Wave_R 1 0 -1 /LMATRIX = "W2 vs W3" Wave_R 1 -1 0 /DESIGN=Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other WAVE_R. UNIANOVA MA_Perc_Threat_SC3 BY WAVE WITH Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other /METHOD=SSTYPE(3) /INTERCEPT=INCLUDE /EMMEANS=TABLES(OVERALL) WITH(Age=MEAN Gender_Female=MEAN Education=MEAN Corona_care=MEAN Minority=MEAN Insurance_Private=MEAN Insurance_Public=MEAN SES_before=MEAN SES_change=MEAN Health_self=MEAN Health_other=MEAN Trust_Science_SC4=MEAN Trust_in_media=MEAN Conservative_01=MEAN Conservative_other=MEAN) /EMMEANS=TABLES(WAVE) WITH(Age=MEAN Gender_Female=MEAN Education=MEAN Corona_care=MEAN Minority=MEAN Insurance_Private=MEAN Insurance_Public=MEAN SES_before=MEAN SES_change=MEAN Health_self=MEAN Health_other=MEAN Trust_Science_SC4=MEAN Trust_in_media=MEAN Conservative_01=MEAN Conservative_other=MEAN) /PRINT ETASQ DESCRIPTIVE /CRITERIA=ALPHA(.05) /ROBUST=HC3 /LMATRIX = "W1 vs W2" Wave -1 1 0 /LMATRIX = "W1 vs W3" Wave -1 0 1 /LMATRIX = "W2 vs W3" Wave 0 -1 1 /DESIGN=Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other WAVE. UNIANOVA MA_Perc_Threat_SC3 BY WAVE_R WITH Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other /METHOD=SSTYPE(3) /INTERCEPT=INCLUDE /EMMEANS=TABLES(OVERALL) WITH(Age=MEAN Gender_Female=MEAN Education=MEAN Corona_care=MEAN Minority=MEAN Insurance_Private=MEAN Insurance_Public=MEAN SES_before=MEAN SES_change=MEAN Health_self=MEAN Health_other=MEAN Trust_Science_SC4=MEAN Trust_in_media=MEAN Conservative_01=MEAN Conservative_other=MEAN) /EMMEANS=TABLES(WAVE_R) WITH(Age=MEAN Gender_Female=MEAN Education=MEAN Corona_care=MEAN Minority=MEAN Insurance_Private=MEAN Insurance_Public=MEAN SES_before=MEAN SES_change=MEAN Health_self=MEAN Health_other=MEAN Trust_Science_SC4=MEAN Trust_in_media=MEAN Conservative_01=MEAN Conservative_other=MEAN) /PRINT ETASQ DESCRIPTIVE /CRITERIA=ALPHA(.05) /ROBUST=HC3 /LMATRIX = "W1 vs W2" Wave_R 0 1 -1 /LMATRIX = "W1 vs W3" Wave_R 1 0 -1 /LMATRIX = "W2 vs W3" Wave_R 1 -1 0 /DESIGN=Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other WAVE_R. UNIANOVA Deterr_SD_Likely_SC2 BY WAVE WITH Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other /METHOD=SSTYPE(3) /INTERCEPT=INCLUDE /EMMEANS=TABLES(OVERALL) WITH(Age=MEAN Gender_Female=MEAN Education=MEAN Corona_care=MEAN Minority=MEAN Insurance_Private=MEAN Insurance_Public=MEAN SES_before=MEAN SES_change=MEAN Health_self=MEAN Health_other=MEAN Trust_Science_SC4=MEAN Trust_in_media=MEAN Conservative_01=MEAN Conservative_other=MEAN) /EMMEANS=TABLES(WAVE) WITH(Age=MEAN Gender_Female=MEAN Education=MEAN Corona_care=MEAN Minority=MEAN Insurance_Private=MEAN Insurance_Public=MEAN SES_before=MEAN SES_change=MEAN Health_self=MEAN Health_other=MEAN Trust_Science_SC4=MEAN Trust_in_media=MEAN Conservative_01=MEAN Conservative_other=MEAN) /PRINT ETASQ DESCRIPTIVE /CRITERIA=ALPHA(.05) /ROBUST=HC3 /LMATRIX = "W1 vs W2" Wave -1 1 0 /LMATRIX = "W1 vs W3" Wave -1 0 1 /LMATRIX = "W2 vs W3" Wave 0 -1 1 /DESIGN=Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other WAVE. UNIANOVA Deterr_SD_Likely_SC2 BY WAVE_R WITH Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other /METHOD=SSTYPE(3) /INTERCEPT=INCLUDE /EMMEANS=TABLES(OVERALL) WITH(Age=MEAN Gender_Female=MEAN Education=MEAN Corona_care=MEAN Minority=MEAN Insurance_Private=MEAN Insurance_Public=MEAN SES_before=MEAN SES_change=MEAN Health_self=MEAN Health_other=MEAN Trust_Science_SC4=MEAN Trust_in_media=MEAN Conservative_01=MEAN Conservative_other=MEAN) /EMMEANS=TABLES(WAVE_R) WITH(Age=MEAN Gender_Female=MEAN Education=MEAN Corona_care=MEAN Minority=MEAN Insurance_Private=MEAN Insurance_Public=MEAN SES_before=MEAN SES_change=MEAN Health_self=MEAN Health_other=MEAN Trust_Science_SC4=MEAN Trust_in_media=MEAN Conservative_01=MEAN Conservative_other=MEAN) /PRINT ETASQ DESCRIPTIVE /CRITERIA=ALPHA(.05) /ROBUST=HC3 /LMATRIX = "W1 vs W2" Wave_R 0 1 -1 /LMATRIX = "W1 vs W3" Wave_R 1 0 -1 /LMATRIX = "W2 vs W3" Wave_R 1 -1 0 /DESIGN=Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other WAVE_R. UNIANOVA Deterr_SD_Severe BY WAVE WITH Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other /METHOD=SSTYPE(3) /INTERCEPT=INCLUDE /EMMEANS=TABLES(OVERALL) WITH(Age=MEAN Gender_Female=MEAN Education=MEAN Corona_care=MEAN Minority=MEAN Insurance_Private=MEAN Insurance_Public=MEAN SES_before=MEAN SES_change=MEAN Health_self=MEAN Health_other=MEAN Trust_Science_SC4=MEAN Trust_in_media=MEAN Conservative_01=MEAN Conservative_other=MEAN) /EMMEANS=TABLES(WAVE) WITH(Age=MEAN Gender_Female=MEAN Education=MEAN Corona_care=MEAN Minority=MEAN Insurance_Private=MEAN Insurance_Public=MEAN SES_before=MEAN SES_change=MEAN Health_self=MEAN Health_other=MEAN Trust_Science_SC4=MEAN Trust_in_media=MEAN Conservative_01=MEAN Conservative_other=MEAN) /PRINT ETASQ DESCRIPTIVE /CRITERIA=ALPHA(.05) /ROBUST=HC3 /LMATRIX = "W1 vs W2" Wave -1 1 0 /LMATRIX = "W1 vs W3" Wave -1 0 1 /LMATRIX = "W2 vs W3" Wave 0 -1 1 /DESIGN=Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other WAVE. UNIANOVA Deterr_SD_Severe BY WAVE_R WITH Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other /METHOD=SSTYPE(3) /INTERCEPT=INCLUDE /EMMEANS=TABLES(OVERALL) WITH(Age=MEAN Gender_Female=MEAN Education=MEAN Corona_care=MEAN Minority=MEAN Insurance_Private=MEAN Insurance_Public=MEAN SES_before=MEAN SES_change=MEAN Health_self=MEAN Health_other=MEAN Trust_Science_SC4=MEAN Trust_in_media=MEAN Conservative_01=MEAN Conservative_other=MEAN) /EMMEANS=TABLES(WAVE_R) WITH(Age=MEAN Gender_Female=MEAN Education=MEAN Corona_care=MEAN Minority=MEAN Insurance_Private=MEAN Insurance_Public=MEAN SES_before=MEAN SES_change=MEAN Health_self=MEAN Health_other=MEAN Trust_Science_SC4=MEAN Trust_in_media=MEAN Conservative_01=MEAN Conservative_other=MEAN) /PRINT ETASQ DESCRIPTIVE /CRITERIA=ALPHA(.05) /ROBUST=HC3 /LMATRIX = "W1 vs W2" Wave_R 0 1 -1 /LMATRIX = "W1 vs W3" Wave_R 1 0 -1 /LMATRIX = "W2 vs W3" Wave_R 1 -1 0 /DESIGN=Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other WAVE_R. UNIANOVA NegEmo_SC6 BY WAVE WITH Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other /METHOD=SSTYPE(3) /INTERCEPT=INCLUDE /EMMEANS=TABLES(OVERALL) WITH(Age=MEAN Gender_Female=MEAN Education=MEAN Corona_care=MEAN Minority=MEAN Insurance_Private=MEAN Insurance_Public=MEAN SES_before=MEAN SES_change=MEAN Health_self=MEAN Health_other=MEAN Trust_Science_SC4=MEAN Trust_in_media=MEAN Conservative_01=MEAN Conservative_other=MEAN) /EMMEANS=TABLES(WAVE) WITH(Age=MEAN Gender_Female=MEAN Education=MEAN Corona_care=MEAN Minority=MEAN Insurance_Private=MEAN Insurance_Public=MEAN SES_before=MEAN SES_change=MEAN Health_self=MEAN Health_other=MEAN Trust_Science_SC4=MEAN Trust_in_media=MEAN Conservative_01=MEAN Conservative_other=MEAN) /PRINT ETASQ DESCRIPTIVE /CRITERIA=ALPHA(.05) /ROBUST=HC3 /LMATRIX = "W1 vs W2" Wave -1 1 0 /LMATRIX = "W1 vs W3" Wave -1 0 1 /LMATRIX = "W2 vs W3" Wave 0 -1 1 /DESIGN=Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other WAVE. UNIANOVA NegEmo_SC6 BY WAVE_R WITH Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other /METHOD=SSTYPE(3) /INTERCEPT=INCLUDE /EMMEANS=TABLES(OVERALL) WITH(Age=MEAN Gender_Female=MEAN Education=MEAN Corona_care=MEAN Minority=MEAN Insurance_Private=MEAN Insurance_Public=MEAN SES_before=MEAN SES_change=MEAN Health_self=MEAN Health_other=MEAN Trust_Science_SC4=MEAN Trust_in_media=MEAN Conservative_01=MEAN Conservative_other=MEAN) /EMMEANS=TABLES(WAVE_R) WITH(Age=MEAN Gender_Female=MEAN Education=MEAN Corona_care=MEAN Minority=MEAN Insurance_Private=MEAN Insurance_Public=MEAN SES_before=MEAN SES_change=MEAN Health_self=MEAN Health_other=MEAN Trust_Science_SC4=MEAN Trust_in_media=MEAN Conservative_01=MEAN Conservative_other=MEAN) /PRINT ETASQ DESCRIPTIVE /CRITERIA=ALPHA(.05) /ROBUST=HC3 /LMATRIX = "W1 vs W2" Wave_R 0 1 -1 /LMATRIX = "W1 vs W3" Wave_R 1 0 -1 /LMATRIX = "W2 vs W3" Wave_R 1 -1 0 /DESIGN=Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other WAVE_R. UNIANOVA Impulsivity_SC4 BY WAVE WITH Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other /METHOD=SSTYPE(3) /INTERCEPT=INCLUDE /EMMEANS=TABLES(OVERALL) WITH(Age=MEAN Gender_Female=MEAN Education=MEAN Corona_care=MEAN Minority=MEAN Insurance_Private=MEAN Insurance_Public=MEAN SES_before=MEAN SES_change=MEAN Health_self=MEAN Health_other=MEAN Trust_Science_SC4=MEAN Trust_in_media=MEAN Conservative_01=MEAN Conservative_other=MEAN) /EMMEANS=TABLES(WAVE) WITH(Age=MEAN Gender_Female=MEAN Education=MEAN Corona_care=MEAN Minority=MEAN Insurance_Private=MEAN Insurance_Public=MEAN SES_before=MEAN SES_change=MEAN Health_self=MEAN Health_other=MEAN Trust_Science_SC4=MEAN Trust_in_media=MEAN Conservative_01=MEAN Conservative_other=MEAN) /PRINT ETASQ DESCRIPTIVE /CRITERIA=ALPHA(.05) /ROBUST=HC3 /LMATRIX = "W1 vs W2" Wave -1 1 0 /LMATRIX = "W1 vs W3" Wave -1 0 1 /LMATRIX = "W2 vs W3" Wave 0 -1 1 /DESIGN=Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other WAVE. UNIANOVA Impulsivity_SC4 BY WAVE_R WITH Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other /METHOD=SSTYPE(3) /INTERCEPT=INCLUDE /EMMEANS=TABLES(OVERALL) WITH(Age=MEAN Gender_Female=MEAN Education=MEAN Corona_care=MEAN Minority=MEAN Insurance_Private=MEAN Insurance_Public=MEAN SES_before=MEAN SES_change=MEAN Health_self=MEAN Health_other=MEAN Trust_Science_SC4=MEAN Trust_in_media=MEAN Conservative_01=MEAN Conservative_other=MEAN) /EMMEANS=TABLES(WAVE_R) WITH(Age=MEAN Gender_Female=MEAN Education=MEAN Corona_care=MEAN Minority=MEAN Insurance_Private=MEAN Insurance_Public=MEAN SES_before=MEAN SES_change=MEAN Health_self=MEAN Health_other=MEAN Trust_Science_SC4=MEAN Trust_in_media=MEAN Conservative_01=MEAN Conservative_other=MEAN) /PRINT ETASQ DESCRIPTIVE /CRITERIA=ALPHA(.05) /ROBUST=HC3 /LMATRIX = "W1 vs W2" Wave_R 0 1 -1 /LMATRIX = "W1 vs W3" Wave_R 1 0 -1 /LMATRIX = "W2 vs W3" Wave_R 1 -1 0 /DESIGN=Age Gender_Female Employed Education Corona_care Minority Insurance_Private Insurance_Public SES_before SES_change Health_self Health_other Trust_Science_SC4 Trust_in_media Conservative_01 Conservative_other WAVE_R.