Rscript : ΓöÇΓöÇ Attaching core tidyverse packages ΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇ tidyverse 2.0.0 ΓöÇΓöÇ At line:1 char:1 + Rscript "mixed anova - domain means.r" *> "readme_domain_mixed_anova. ... + ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + CategoryInfo : NotSpecified: (ΓöÇΓöÇ Attachin...se 2.0.0 ΓöÇΓöÇ :String) [], RemoteException + FullyQualifiedErrorId : NativeCommandError Γ£ö dplyr 1.1.4 Γ£ö readr 2.1.5 Γ£ö forcats 1.0.0 Γ£ö stringr 1.5.1 Γ£ö ggplot2 3.5.1 Γ£ö tibble 3.2.1 Γ£ö lubridate 1.9.3 Γ£ö tidyr 1.3.1 Γ£ö purrr 1.0.2 ΓöÇΓöÇ Conflicts ΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓö ÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇ tidyverse_conflicts() ΓöÇΓöÇ Γ£û dplyr::filter() masks stats::filter() Γ£û dplyr::lag() masks stats::lag() Γä╣ Use the conflicted package () to force all conflicts to become errors Loading required package: carData Attaching package: 'car' The following object is masked from 'package:dplyr': recode The following object is masked from 'package:purrr': some Loading required package: lme4 Loading required package: Matrix Attaching package: 'Matrix' The following objects are masked from 'package:tidyr': expand, pack, unpack ************ Welcome to afex. For support visit: http://afex.singmann.science/ - Functions for ANOVAs: aov_car(), aov_ez(), and aov_4() - Methods for calculating p-values with mixed(): 'S', 'KR', 'LRT', and 'PB' - 'afex_aov' and 'mixed' objects can be passed to emmeans() for follow-up tests - Get and set global package options with: afex_options() - Set sum-to-zero contrasts globally: set_sum_contrasts() - For example analyses see: browseVignettes("afex") ************ Attaching package: 'afex' The following object is masked from 'package:lme4': lmer Welcome to emmeans. Caution: You lose important information if you filter this package's results. See '? untidy' Warning message: package 'effsize' was built under R version 4.4.3 Registered S3 methods overwritten by 'parameters': method from display.parameters_distribution datawizard plot.parameters_distribution datawizard print_md.parameters_distribution datawizard [1] "Dataset dimensions: 1063 x689" [1] "Number of participants: 1063" [1] "All required domain mean variables found!" [1] "Long data dimensions: 8504 x6" [1] "Number of participants: 1063" [1] "Descriptive statistics by TIME and DOMAIN:" # A tibble: 8 ├ù 11 TIME DOMAIN n mean variance sd median q1 q3 min max 1 Past Preferences 1063 0.783 0.518 0.720 0.6 0.2 1.2 0 5.8 2 Past Personality 1063 0.962 0.566 0.752 0.8 0.4 1.4 0 5 3 Past Values 1063 0.784 0.554 0.744 0.6 0.2 1 0 4.6 4 Past Life 1063 1.22 1.08 1.04 1 0.4 1.8 0 6 5 Future Preferences 1063 0.644 0.348 0.590 0.6 0.2 1 0 5.8 6 Future Personality 1063 0.866 0.424 0.651 0.8 0.4 1.2 0 4.2 7 Future Values 1063 0.587 0.281 0.530 0.4 0.2 0.8 0 4.4 8 Future Life 1063 1.11 0.930 0.964 0.8 0.4 1.4 0 6 [1] "Descriptive statistics by TEMPORAL_DO, TIME, and DOMAIN:" # A tibble: 16 ├ù 7 TEMPORAL_DO TIME DOMAIN n mean variance sd 1 01PAST Past Preferences 536 0.759 0.515 0.718 2 01PAST Past Personality 536 0.948 0.571 0.756 3 01PAST Past Values 536 0.748 0.565 0.752 4 01PAST Past Life 536 1.23 1.08 1.04 5 01PAST Future Preferences 536 0.640 0.326 0.571 6 01PAST Future Personality 536 0.909 0.433 0.658 7 01PAST Future Values 536 0.614 0.287 0.535 8 01PAST Future Life 536 1.18 1.05 1.02 9 02FUT Past Preferences 527 0.808 0.521 0.722 10 02FUT Past Personality 527 0.977 0.562 0.750 11 02FUT Past Values 527 0.820 0.540 0.735 12 02FUT Past Life 527 1.21 1.08 1.04 13 02FUT Future Preferences 527 0.648 0.371 0.609 14 02FUT Future Personality 527 0.822 0.411 0.641 15 02FUT Future Values 527 0.559 0.274 0.524 16 02FUT Future Life 527 1.03 0.801 0.895 [1] "Data after removing missing values: 8504 x6" [1] "Missing values by TIME and DOMAIN:" # A tibble: 8 ├ù 5 TIME DOMAIN n_total n_missing pct_missing 1 Past Preferences 1063 0 0 2 Past Personality 1063 0 0 3 Past Values 1063 0 0 4 Past Life 1063 0 0 5 Future Preferences 1063 0 0 6 Future Personality 1063 0 0 7 Future Values 1063 0 0 8 Future Life 1063 0 0 [1] "Outlier summary (IQR method):" # A tibble: 8 ├ù 11 TIME DOMAIN n mean sd q1 q3 iqr lower_bound upper_bound 1 Past Preferences 1063 0.783 0.720 0.2 1.2 1 -1.3 2.7 2 Past Personality 1063 0.962 0.752 0.4 1.4 1 -1.1 2.9 3 Past Values 1063 0.784 0.744 0.2 1 0.8 -1 2.2 4 Past Life 1063 1.22 1.04 0.4 1.8 1.4 -1.7 3.9 5 Future Preferences 1063 0.644 0.590 0.2 1 0.8 -1 2.2 6 Future Personality 1063 0.866 0.651 0.4 1.2 0.8 -0.8 2.4 7 Future Values 1063 0.587 0.530 0.2 0.8 0.6 -0.7 1.7 8 Future Life 1063 1.11 0.964 0.4 1.4 1 -1.1 2.9 # Γä╣ 1 more variable: n_outliers [1] "Anderson-Darling normality test results:" # A tibble: 8 ├ù 5 TIME DOMAIN n ad_statistic ad_p_value 1 Past Preferences 1063 32.9 0 2 Past Personality 1063 27.2 0 3 Past Values 1063 39.9 0 4 Past Life 1063 32.4 0 5 Future Preferences 1063 30.5 0 6 Future Personality 1063 20.6 0 7 Future Values 1063 33.9 0 8 Future Life 1063 36.9 0 [1] "Homogeneity of variance across TIME within each DOMAIN:" # A tibble: 4 ├ù 3 DOMAIN levene_F levene_p 1 Preferences 23.3 1.48e- 6 2 Personality 9.57 2.01e- 3 3 Values 42.3 9.50e-11 4 Life 6.78 9.27e- 3 [1] "Homogeneity of variance across DOMAIN within each TIME:" # A tibble: 2 ├ù 3 TIME levene_F levene_p 1 Past 41.9 1.13e-26 2 Future 68.4 3.41e-43 [1] "=== CHECKING TEMPORAL_DO VALUES ===" [1] "Unique TEMPORAL_DO values:" [1] 01PAST 02FUT Levels: 01PAST 02FUT [1] "TEMPORAL_DO value counts:" 01PAST 02FUT 4288 4216 [1] "\n=== OBSERVED F-MAX RATIOS: TEMPORAL_DO within each TIME ├ù DOMAIN combination ===" # A tibble: 8 ├ù 5 TIME DOMAIN past_var fut_var f_max_ratio 1 Past Preferences 0.515 0.521 1.01 2 Past Personality 0.571 0.562 1.02 3 Past Values 0.565 0.540 1.05 4 Past Life 1.08 1.08 1.00 5 Future Preferences 0.326 0.371 1.14 6 Future Personality 0.433 0.411 1.06 7 Future Values 0.287 0.274 1.05 8 Future Life 1.05 0.801 1.31 [1] "\n=== HARTLEY'S F-MAX TEST RESULTS ===" # A tibble: 8 ├ù 5 TIME DOMAIN observed_ratio critical_95 significant 1 Past Preferences 1.01 1.35 FALSE 2 Past Personality 1.02 1.32 FALSE 3 Past Values 1.05 1.38 FALSE 4 Past Life 1.00 1.28 FALSE 5 Future Preferences 1.14 1.57 FALSE 6 Future Personality 1.06 1.32 FALSE 7 Future Values 1.05 1.34 FALSE 8 Future Life 1.31 1.63 FALSE [1] "Data size for ANOVA: 8504 rows" [1] "Number of participants: 1063" [1] "Design factors: TIME (2), DOMAIN (4), TEMPORAL_DO (2)" [1] "Complete cases: 8504 out of 8504" [1] "Design is balanced: each participant has data for all TIME ├ù DOMAIN combinations" [1] "\n=== MIXED ANOVA RESULTS (with sphericity corrections) ===" Warning: Data is unbalanced (unequal N per group). Make sure you specified a well-considered value for the type argument to ezANOVA(). [1] "ANOVA Results:" Effect DFn DFd SSn SSd F 1 (Intercept) 1 1061 6421.3415321 1944.0057 3504.6417249 2 TEMPORAL_DO 1 1061 0.7456337 1944.0057 0.4069522 3 TIME 1 1061 39.6689739 534.1210 78.8000944 5 DOMAIN 3 3183 311.5536201 1597.6667 206.9007190 4 TEMPORAL_DO:TIME 1 1061 5.5224829 534.1210 10.9700889 6 TEMPORAL_DO:DOMAIN 3 3183 3.7663764 1597.6667 2.5012259 7 TIME:DOMAIN 3 3183 3.1154311 904.9444 3.6526803 8 TEMPORAL_DO:TIME:DOMAIN 3 3183 0.6564659 904.9444 0.7696720 p 1 0.00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000 2 0.52365818585252021932774368906393647193908691406250000000000000000000000000000000000000000000000000000000000000000000000000000000 3 0.00000000000000000287200875432473479121828208171507412771461531519889831542968750000000000000000000000000000000000000000000000000 5 0.00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000001337697 4 0.00095717428775204211818805610789695492712780833244323730468750000000000000000000000000000000000000000000000000000000000000000000 6 0.05766070356738214885972126921842573210597038269042968750000000000000000000000000000000000000000000000000000000000000000000000000 7 0.01204956368720257880999824351420102175325155258178710937500000000000000000000000000000000000000000000000000000000000000000000000 8 0.51088655666805471433633556443965062499046325683593750000000000000000000000000000000000000000000000000000000000000000000000000000 p<.05 ges 1 * 0.5631728577 2 0.0001496810 3 * 0.0079015460 5 * 0.0588693257 4 * 0.0011075401 6 0.0007556171 7 * 0.0006251049 8 0.0001317836 [1] "\nMauchly's Test of Sphericity:" Effect W 5 DOMAIN 0.7291990 6 TEMPORAL_DO:DOMAIN 0.7291990 7 TIME:DOMAIN 0.6398967 8 TEMPORAL_DO:TIME:DOMAIN 0.6398967 p 5 0.0000000000000000000000000000000000000000000000000000000000000000000003497441103331600766295633730962322261 6 0.0000000000000000000000000000000000000000000000000000000000000000000003497441103331600766295633730962322261 7 0.0000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000005087186 8 0.0000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000005087186 p<.05 5 * 6 * 7 * 8 * [1] "\nGreenhouse-Geisser and Huynh-Feldt Corrections:" Effect GGe 5 DOMAIN 0.8167568 6 TEMPORAL_DO:DOMAIN 0.8167568 7 TIME:DOMAIN 0.7529784 8 TEMPORAL_DO:TIME:DOMAIN 0.7529784 p[GG] 5 0.00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000009854502 6 0.07011166013757348658419488174331490881741046905517578125000000000000000000000000000000000000000000000000000 7 0.02133521013451386214021532339302211767062544822692871093750000000000000000000000000000000000000000000000000 8 0.47760654722485240686324914349825121462345123291015625000000000000000000000000000000000000000000000000000000 p[GG]<.05 HFe 5 * 0.8187892 6 0.8187892 7 * 0.7546665 8 0.7546665 p[HF] 5 0.00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000005637194 6 0.06995986011187707576119976238260278478264808654785156250000000000000000000000000000000000000000000000000000 7 0.02125162288085758605094000017743383068591356277465820312500000000000000000000000000000000000000000000000000 8 0.47786945437333261388346272724447771906852722167968750000000000000000000000000000000000000000000000000000000 p[HF]<.05 5 * 6 7 * 8 === CORRECTED DEGREES OF FREEDOM === Effect Original_DFn Original_DFd GG_DFn GG_DFd HF_DFn 1 DOMAIN 3 3183 2.450271 2599.737 2.456368 2 TEMPORAL_DO:DOMAIN 3 3183 2.450271 2599.737 2.456368 3 TIME:DOMAIN 3 3183 2.258935 2396.730 2.263999 4 TEMPORAL_DO:TIME:DOMAIN 3 3183 2.258935 2396.730 2.263999 HF_DFd GG_epsilon HF_epsilon 1 2606.206 0.8167568 0.8187892 2 2606.206 0.8167568 0.8187892 3 2402.103 0.7529784 0.7546665 4 2402.103 0.7529784 0.7546665 === CORRECTED F-TESTS === DOMAIN: Original: F(3, 3183) = 206.901 GG-corrected: F(2.45, 2599.74) = 206.901, p = 0.000000 HF-corrected: F(2.46, 2606.21) = 206.901, p = 0.000000 TEMPORAL_DO:DOMAIN: Original: F(3, 3183) = 2.501 GG-corrected: F(2.45, 2599.74) = 2.501, p = 0.070112 HF-corrected: F(2.46, 2606.21) = 2.501, p = 0.069960 TIME:DOMAIN: Original: F(3, 3183) = 3.653 GG-corrected: F(2.26, 2396.73) = 3.653, p = 0.021335 HF-corrected: F(2.26, 2402.10) = 3.653, p = 0.021252 TEMPORAL_DO:TIME:DOMAIN: Original: F(3, 3183) = 0.770 GG-corrected: F(2.26, 2396.73) = 0.770, p = 0.477607 HF-corrected: F(2.26, 2402.10) = 0.770, p = 0.477869 [1] "\n=== EFFECT SIZES (GENERALIZED ETA SQUARED) ===" [1] "Generalized Eta Squared:" Effect ges 1 (Intercept) 0.56317 2 TEMPORAL_DO 0.00015 3 TIME 0.00790 5 DOMAIN 0.05887 4 TEMPORAL_DO:TIME 0.00111 6 TEMPORAL_DO:DOMAIN 0.00076 7 TIME:DOMAIN 0.00063 8 TEMPORAL_DO:TIME:DOMAIN 0.00013 [1] "\n=== POST-HOC COMPARISONS ===" [1] "Main Effect of TIME:" NOTE: Results may be misleading due to involvement in interactions [1] "Estimated Marginal Means:" TIME emmean SE df lower.CL upper.CL Past 0.937 0.0166 1603 0.905 0.970 Future 0.801 0.0166 1603 0.768 0.833 Results are averaged over the levels of: TEMPORAL_DO, DOMAIN Warning: EMMs are biased unless design is perfectly balanced Confidence level used: 0.95 [1] "\nPairwise Contrasts:" contrast estimate SE df t.ratio p.value Past - Future 0.137 0.0154 1061 8.877 <.0001 Results are averaged over the levels of: TEMPORAL_DO, DOMAIN [1] "\nMain Effect of DOMAIN:" NOTE: Results may be misleading due to involvement in interactions [1] "Estimated Marginal Means:" DOMAIN emmean SE df lower.CL upper.CL Preferences 0.714 0.0198 2875 0.675 0.752 Personality 0.914 0.0198 2875 0.875 0.953 Values 0.685 0.0198 2875 0.646 0.724 Life 1.163 0.0198 2875 1.124 1.202 Results are averaged over the levels of: TEMPORAL_DO, TIME Warning: EMMs are biased unless design is perfectly balanced Confidence level used: 0.95 [1] "\nPairwise Contrasts:" contrast estimate SE df t.ratio p.value Preferences - Personality -0.2004 0.0217 3183 -9.223 <.0001 Preferences - Values 0.0284 0.0217 3183 1.307 1.0000 Preferences - Life -0.4497 0.0217 3183 -20.693 <.0001 Personality - Values 0.2288 0.0217 3183 10.530 <.0001 Personality - Life -0.2493 0.0217 3183 -11.470 <.0001 Values - Life -0.4781 0.0217 3183 -22.000 <.0001 Results are averaged over the levels of: TEMPORAL_DO, TIME P value adjustment: bonferroni method for 6 tests [1] "\nMain Effect of TEMPORAL_DO:" NOTE: Results may be misleading due to involvement in interactions contrast estimate SE df t.ratio p.value 01PAST - 02FUT 0.0187 0.0294 1061 0.638 0.5237 Results are averaged over the levels of: TIME, DOMAIN [1] "\n=== TEMPORAL_DO ├ù TIME INTERACTION ===" NOTE: Results may be misleading due to involvement in interactions [1] "Estimated Marginal Means:" TEMPORAL_DO TIME emmean SE df lower.CL upper.CL 01PAST Past 0.921 0.0234 1599 0.875 0.967 02FUT Past 0.953 0.0235 1607 0.907 1.000 01PAST Future 0.836 0.0234 1599 0.790 0.882 02FUT Future 0.766 0.0235 1607 0.720 0.812 Results are averaged over the levels of: DOMAIN Warning: EMMs are biased unless design is perfectly balanced Confidence level used: 0.95 [1] "\nSimple Effects of TIME within each TEMPORAL_DO:" TEMPORAL_DO = 01PAST: contrast estimate SE df t.ratio p.value Past - Future 0.0856 0.0217 1061 3.952 0.0001 TEMPORAL_DO = 02FUT: contrast estimate SE df t.ratio p.value Past - Future 0.1876 0.0219 1061 8.583 <.0001 Results are averaged over the levels of: DOMAIN [1] "\nSimple Effects of TEMPORAL_DO within each TIME:" TIME = Past: contrast estimate SE df t.ratio p.value 01PAST - 02FUT -0.0322 0.0331 1603 -0.973 0.3309 TIME = Future: contrast estimate SE df t.ratio p.value 01PAST - 02FUT 0.0697 0.0331 1603 2.103 0.0356 Results are averaged over the levels of: DOMAIN [1] "\n=== TIME ├ù DOMAIN INTERACTION ===" NOTE: Results may be misleading due to involvement in interactions [1] "Estimated Marginal Means:" TIME DOMAIN emmean SE df lower.CL upper.CL Past Preferences 0.783 0.0235 5073 0.737 0.829 Future Preferences 0.644 0.0235 5073 0.598 0.690 Past Personality 0.962 0.0235 5073 0.916 1.008 Future Personality 0.866 0.0235 5073 0.820 0.912 Past Values 0.784 0.0235 5073 0.738 0.830 Future Values 0.586 0.0235 5073 0.540 0.633 Past Life 1.220 0.0235 5073 1.174 1.266 Future Life 1.107 0.0235 5073 1.061 1.153 Results are averaged over the levels of: TEMPORAL_DO Warning: EMMs are biased unless design is perfectly balanced Confidence level used: 0.95 [1] "\nSimple Effects of DOMAIN within each TIME:" TIME = Past: contrast estimate SE df t.ratio p.value Preferences - Personality -0.179220 0.0272 5913 -6.590 <.0001 Preferences - Values -0.000848 0.0272 5913 -0.031 1.0000 Preferences - Life -0.436770 0.0272 5913 -16.059 <.0001 Personality - Values 0.178371 0.0272 5913 6.558 <.0001 Personality - Life -0.257550 0.0272 5913 -9.470 <.0001 Values - Life -0.435921 0.0272 5913 -16.028 <.0001 TIME = Future: contrast estimate SE df t.ratio p.value Preferences - Personality -0.221615 0.0272 5913 -8.148 <.0001 Preferences - Values 0.057652 0.0272 5913 2.120 0.2044 Preferences - Life -0.462575 0.0272 5913 -17.008 <.0001 Personality - Values 0.279267 0.0272 5913 10.268 <.0001 Personality - Life -0.240960 0.0272 5913 -8.860 <.0001 Values - Life -0.520227 0.0272 5913 -19.128 <.0001 Results are averaged over the levels of: TEMPORAL_DO P value adjustment: bonferroni method for 6 tests [1] "\nSimple Effects of TIME within each DOMAIN:" DOMAIN = Preferences: contrast estimate SE df t.ratio p.value Past - Future 0.1390 0.0253 3936 5.504 <.0001 DOMAIN = Personality: contrast estimate SE df t.ratio p.value Past - Future 0.0966 0.0253 3936 3.826 0.0001 DOMAIN = Values: contrast estimate SE df t.ratio p.value Past - Future 0.1975 0.0253 3936 7.820 <.0001 DOMAIN = Life: contrast estimate SE df t.ratio p.value Past - Future 0.1132 0.0253 3936 4.482 <.0001 Results are averaged over the levels of: TEMPORAL_DO [1] "\n=== TEMPORAL_DO ├ù DOMAIN INTERACTION ===" NOTE: Results may be misleading due to involvement in interactions [1] "Estimated Marginal Means:" TEMPORAL_DO DOMAIN emmean SE df lower.CL upper.CL 01PAST Preferences 0.700 0.0280 2861 0.645 0.754 02FUT Preferences 0.728 0.0281 2887 0.673 0.783 01PAST Personality 0.928 0.0280 2861 0.874 0.983 02FUT Personality 0.900 0.0281 2887 0.845 0.955 01PAST Values 0.681 0.0280 2861 0.626 0.736 02FUT Values 0.689 0.0281 2887 0.634 0.744 01PAST Life 1.205 0.0280 2861 1.150 1.259 02FUT Life 1.122 0.0281 2887 1.067 1.177 Results are averaged over the levels of: TIME Warning: EMMs are biased unless design is perfectly balanced Confidence level used: 0.95 [1] "\nSimple Effects of DOMAIN within each TEMPORAL_DO:" TEMPORAL_DO = 01PAST: contrast estimate SE df t.ratio p.value Preferences - Personality -0.2289 0.0306 3183 -7.481 <.0001 Preferences - Values 0.0183 0.0306 3183 0.597 1.0000 Preferences - Life -0.5050 0.0306 3183 -16.504 <.0001 Personality - Values 0.2472 0.0306 3183 8.078 <.0001 Personality - Life -0.2761 0.0306 3183 -9.023 <.0001 Values - Life -0.5233 0.0306 3183 -17.101 <.0001 TEMPORAL_DO = 02FUT: contrast estimate SE df t.ratio p.value Preferences - Personality -0.1719 0.0309 3183 -5.571 <.0001 Preferences - Values 0.0385 0.0309 3183 1.248 1.0000 Preferences - Life -0.3943 0.0309 3183 -12.777 <.0001 Personality - Values 0.2104 0.0309 3183 6.819 <.0001 Personality - Life -0.2224 0.0309 3183 -7.206 <.0001 Values - Life -0.4328 0.0309 3183 -14.025 <.0001 Results are averaged over the levels of: TIME P value adjustment: bonferroni method for 6 tests [1] "\nSimple Effects of TEMPORAL_DO within each DOMAIN:" DOMAIN = Preferences: contrast estimate SE df t.ratio p.value 01PAST - 02FUT -0.02826 0.0396 2874 -0.713 0.4757 DOMAIN = Personality: contrast estimate SE df t.ratio p.value 01PAST - 02FUT 0.02874 0.0396 2874 0.725 0.4684 DOMAIN = Values: contrast estimate SE df t.ratio p.value 01PAST - 02FUT -0.00803 0.0396 2874 -0.203 0.8395 DOMAIN = Life: contrast estimate SE df t.ratio p.value 01PAST - 02FUT 0.08247 0.0396 2874 2.081 0.0375 Results are averaged over the levels of: TIME [1] "\n=== COMPREHENSIVE THREE-WAY INTERACTION ANALYSIS ===" [1] "Estimated Marginal Means for all combinations:" TEMPORAL_DO TIME DOMAIN emmean SE df lower.CL upper.CL 01PAST Past Preferences 0.759 0.0331 5044 0.694 0.824 02FUT Past Preferences 0.808 0.0333 5102 0.742 0.873 01PAST Future Preferences 0.640 0.0331 5044 0.575 0.705 02FUT Future Preferences 0.648 0.0333 5102 0.583 0.713 01PAST Past Personality 0.948 0.0331 5044 0.883 1.013 02FUT Past Personality 0.977 0.0333 5102 0.912 1.042 01PAST Future Personality 0.909 0.0331 5044 0.844 0.974 02FUT Future Personality 0.822 0.0333 5102 0.757 0.888 01PAST Past Values 0.748 0.0331 5044 0.683 0.813 02FUT Past Values 0.820 0.0333 5102 0.755 0.885 01PAST Future Values 0.614 0.0331 5044 0.549 0.679 02FUT Future Values 0.559 0.0333 5102 0.493 0.624 01PAST Past Life 1.230 0.0331 5044 1.165 1.295 02FUT Past Life 1.210 0.0333 5102 1.144 1.275 01PAST Future Life 1.179 0.0331 5044 1.114 1.244 02FUT Future Life 1.035 0.0333 5102 0.969 1.100 Warning: EMMs are biased unless design is perfectly balanced Confidence level used: 0.95 [1] "\nPairwise comparisons of TIME (Past - Future) within each TEMPORAL_DO ├ù DOMAIN combination:" TEMPORAL_DO = 01PAST, DOMAIN = Preferences: contrast estimate SE df t.ratio p.value Past - Future 0.1183 0.0356 3936 3.325 0.0009 TEMPORAL_DO = 02FUT, DOMAIN = Preferences: contrast estimate SE df t.ratio p.value Past - Future 0.1598 0.0359 3936 4.454 <.0001 TEMPORAL_DO = 01PAST, DOMAIN = Personality: contrast estimate SE df t.ratio p.value Past - Future 0.0388 0.0356 3936 1.091 0.2754 TEMPORAL_DO = 02FUT, DOMAIN = Personality: contrast estimate SE df t.ratio p.value Past - Future 0.1545 0.0359 3936 4.306 <.0001 TEMPORAL_DO = 01PAST, DOMAIN = Values: contrast estimate SE df t.ratio p.value Past - Future 0.1340 0.0356 3936 3.766 0.0002 TEMPORAL_DO = 02FUT, DOMAIN = Values: contrast estimate SE df t.ratio p.value Past - Future 0.2611 0.0359 3936 7.279 <.0001 TEMPORAL_DO = 01PAST, DOMAIN = Life: contrast estimate SE df t.ratio p.value Past - Future 0.0515 0.0356 3936 1.448 0.1478 TEMPORAL_DO = 02FUT, DOMAIN = Life: contrast estimate SE df t.ratio p.value Past - Future 0.1750 0.0359 3936 4.877 <.0001 [1] "\n=== COHEN'S D FOR SIGNIFICANT TWO-WAY INTERACTIONS ===" [1] "\n=== COHEN'S D FOR TEMPORAL_DO ├ù TIME INTERACTION ===" Significant pairwise comparisons (p < 0.05): contrast TEMPORAL_DO estimate SE df t.ratio p.value Past - Future 01PAST 0.08563433 0.02167029 1061 3.952 0.0001 Past - Future 02FUT 0.18757116 0.02185455 1061 8.583 <.0001 Results are averaged over the levels of: DOMAIN Cohen's d calculated from raw data: Comparison: Past - Future | 01PAST n1 = 2144, n2 = 2144 Cohen's d: 0.10639 Effect size interpretation: negligible p-value: 0.00008 Comparison: Past - Future | 02FUT n1 = 2108, n2 = 2108 Cohen's d: 0.24237 Effect size interpretation: small p-value: 0.00000 Significant pairwise comparisons (p < 0.05): contrast TIME estimate SE df t.ratio p.value 01PAST - 02FUT Future 0.06969664 0.03314652 1603.1 2.103 0.0356 Results are averaged over the levels of: DOMAIN Cohen's d calculated from raw data: Comparison: 01PAST - 02FUT | Future n1 = 2144, n2 = 2108 Cohen's d: 0.09518 Effect size interpretation: negligible p-value: 0.03565 [1] "\n=== COHEN'S D FOR TIME ├ù DOMAIN INTERACTION ===" Significant pairwise comparisons (p < 0.05): contrast DOMAIN estimate SE df t.ratio p.value Past - Future Preferences 0.13902794 0.02525902 3935.86 5.504 <.0001 Past - Future Personality 0.09663259 0.02525902 3935.86 3.826 0.0001 Past - Future Values 0.19752790 0.02525902 3935.86 7.820 <.0001 Past - Future Life 0.11322255 0.02525902 3935.86 4.482 <.0001 Results are averaged over the levels of: TEMPORAL_DO Cohen's d calculated from raw data: Comparison: Past - Future | Preferences n1 = 1063, n2 = 1063 Cohen's d: 0.21102 Effect size interpretation: small p-value: 0.00000 Comparison: Past - Future | Personality n1 = 1063, n2 = 1063 Cohen's d: 0.13666 Effect size interpretation: negligible p-value: 0.00013 Comparison: Past - Future | Values n1 = 1063, n2 = 1063 Cohen's d: 0.30496 Effect size interpretation: small p-value: 0.00000 Comparison: Past - Future | Life n1 = 1063, n2 = 1063 Cohen's d: 0.11243 Effect size interpretation: negligible p-value: 0.00001 Significant pairwise comparisons (p < 0.05): contrast TIME estimate SE df t.ratio p.value Preferences - Personality Past -0.1792195 0.02719739 5912.96 -6.590 <.0001 Preferences - Life Past -0.4367697 0.02719739 5912.96 -16.059 <.0001 Personality - Values Past 0.1783713 0.02719739 5912.96 6.558 <.0001 Personality - Life Past -0.2575501 0.02719739 5912.96 -9.470 <.0001 Values - Life Past -0.4359214 0.02719739 5912.96 -16.028 <.0001 Preferences - Personality Future -0.2216149 0.02719739 5912.96 -8.148 <.0001 Preferences - Life Future -0.4625751 0.02719739 5912.96 -17.008 <.0001 Personality - Values Future 0.2792666 0.02719739 5912.96 10.268 <.0001 Personality - Life Future -0.2409602 0.02719739 5912.96 -8.860 <.0001 Values - Life Future -0.5202268 0.02719739 5912.96 -19.128 <.0001 Results are averaged over the levels of: TEMPORAL_DO P value adjustment: bonferroni method for 6 tests Cohen's d calculated from raw data: Comparison: Preferences - Personality | Past n1 = 1063, n2 = 1063 Cohen's d: -0.24351 Effect size interpretation: small p-value: 0.00000 Comparison: Preferences - Life | Past n1 = 1063, n2 = 1063 Cohen's d: -0.48894 Effect size interpretation: small p-value: 0.00000 Comparison: Personality - Values | Past n1 = 1063, n2 = 1063 Cohen's d: 0.23863 Effect size interpretation: small p-value: 0.00000 Comparison: Personality - Life | Past n1 = 1063, n2 = 1063 Cohen's d: -0.28411 Effect size interpretation: small p-value: 0.00000 Comparison: Values - Life | Past n1 = 1063, n2 = 1063 Cohen's d: -0.48278 Effect size interpretation: small p-value: 0.00000 Comparison: Preferences - Personality | Future n1 = 1063, n2 = 1063 Cohen's d: -0.35747 Effect size interpretation: small p-value: 0.00000 Comparison: Preferences - Life | Future n1 = 1063, n2 = 1063 Cohen's d: -0.57958 Effect size interpretation: medium p-value: 0.00000 Comparison: Personality - Values | Future n1 = 1063, n2 = 1063 Cohen's d: 0.47072 Effect size interpretation: small p-value: 0.00000 Comparison: Personality - Life | Future n1 = 1063, n2 = 1063 Cohen's d: -0.29322 Effect size interpretation: small p-value: 0.00000 Comparison: Values - Life | Future n1 = 1063, n2 = 1063 Cohen's d: -0.66911 Effect size interpretation: medium p-value: 0.00000 [1] "\n=== COHEN'S D FOR TEMPORAL_DO ├ù DOMAIN INTERACTION ===" Significant pairwise comparisons (p < 0.05): contrast DOMAIN estimate SE df t.ratio p.value 01PAST - 02FUT Life 0.08246623 0.03962602 2874.42 2.081 0.0375 Results are averaged over the levels of: TIME Cohen's d calculated from raw data: Comparison: 01PAST - 02FUT | Life n1 = 1072, n2 = 1054 Cohen's d: 0.08221 Effect size interpretation: negligible p-value: 0.03751 Significant pairwise comparisons (p < 0.05): contrast TEMPORAL_DO estimate SE df t.ratio Preferences - Personality 01PAST -0.2289179 0.03060148 3183 -7.481 Preferences - Life 01PAST -0.5050373 0.03060148 3183 -16.504 Personality - Values 01PAST 0.2472015 0.03060148 3183 8.078 Personality - Life 01PAST -0.2761194 0.03060148 3183 -9.023 Values - Life 01PAST -0.5233209 0.03060148 3183 -17.101 Preferences - Personality 02FUT -0.1719165 0.03086167 3183 -5.571 Preferences - Life 02FUT -0.3943074 0.03086167 3183 -12.777 Personality - Values 02FUT 0.2104364 0.03086167 3183 6.819 Personality - Life 02FUT -0.2223909 0.03086167 3183 -7.206 Values - Life 02FUT -0.4328273 0.03086167 3183 -14.025 p.value <.0001 <.0001 <.0001 <.0001 <.0001 <.0001 <.0001 <.0001 <.0001 <.0001 Results are averaged over the levels of: TIME P value adjustment: bonferroni method for 6 tests Cohen's d calculated from raw data: Comparison: Preferences - Personality | 01PAST n1 = 1072, n2 = 1072 Cohen's d: -0.33645 Effect size interpretation: small p-value: 0.00000 Comparison: Preferences - Life | 01PAST n1 = 1072, n2 = 1072 Cohen's d: -0.58553 Effect size interpretation: medium p-value: 0.00000 Comparison: Personality - Values | 01PAST n1 = 1072, n2 = 1072 Cohen's d: 0.36212 Effect size interpretation: small p-value: 0.00000 Comparison: Personality - Life | 01PAST n1 = 1072, n2 = 1072 Cohen's d: -0.31200 Effect size interpretation: small p-value: 0.00000 Comparison: Values - Life | 01PAST n1 = 1072, n2 = 1072 Cohen's d: -0.60548 Effect size interpretation: medium p-value: 0.00000 Comparison: Preferences - Personality | 02FUT n1 = 1054, n2 = 1054 Cohen's d: -0.25029 Effect size interpretation: small p-value: 0.00000 Comparison: Preferences - Life | 02FUT n1 = 1054, n2 = 1054 Cohen's d: -0.47142 Effect size interpretation: small p-value: 0.00000 Comparison: Personality - Values | 02FUT n1 = 1054, n2 = 1054 Cohen's d: 0.31099 Effect size interpretation: small p-value: 0.00000 Comparison: Personality - Life | 02FUT n1 = 1054, n2 = 1054 Cohen's d: -0.26217 Effect size interpretation: small p-value: 0.00000 Comparison: Values - Life | 02FUT n1 = 1054, n2 = 1054 Cohen's d: -0.52269 Effect size interpretation: medium p-value: 0.00000