Rscript : ΓöÇΓöÇ Attaching core tidyverse packages ΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇ tidyverse 2.0.0 ΓöÇΓöÇ At C:\\Users\\irina\\AppData\\Local\\Temp\\ps-script-1e88d1ff-8e66-4d9a-90cf-0f9caea5137a.ps1:7 char:47 \+ ... OHI\\eohi1"; Rscript "mixed anova - DGEN.r" > "results - exp1 - mixed ... \+ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   + 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 ΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇ ΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇ 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 DGEN 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 4.45 8.17 2.86 5 2 7 0 10 2 Past Personality 1063 4.67 8.12 2.85 5 2 7 0 10 3 Past Values 1063 4.41 8.50 2.91 4 2 7 0 10 4 Past Life 1063 5.46 8.02 2.83 6 3 8 0 10 5 Future Preferences 1063 4.14 7.97 2.82 4 2 6 0 10 6 Future Personality 1063 4.23 7.92 2.81 4 2 6 0 10 7 Future Values 1063 3.92 7.94 2.82 3 2 6 0 10 8 Future Life 1063 5.05 8.11 2.85 5 3 7 0 10 \[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 4.52 8.58 2.93  2 01PAST Past Personality 536 4.79 8.18 2.86  3 01PAST Past Values 536 4.49 8.35 2.89  4 01PAST Past Life 536 5.73 7.71 2.78  5 01PAST Future Preferences 536 4.16 8.16 2.86  6 01PAST Future Personality 536 4.32 8.00 2.83  7 01PAST Future Values 536 4.01 8.04 2.84  8 01PAST Future Life 536 5.20 8.21 2.87  9 02FUT Past Preferences 527 4.39 7.76 2.79 10 02FUT Past Personality 527 4.55 8.04 2.84 11 02FUT Past Values 527 4.34 8.65 2.94 12 02FUT Past Life 527 5.19 8.20 2.86 13 02FUT Future Preferences 527 4.13 7.79 2.79 14 02FUT Future Personality 527 4.14 7.83 2.80 15 02FUT Future Values 527 3.83 7.84 2.80 16 02FUT Future Life 527 4.90 7.97 2.82 \[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 4.45 2.86 2 7 5 -5.5 14.5 2 Past Personality 1063 4.67 2.85 2 7 5 -5.5 14.5 3 Past Values 1063 4.41 2.91 2 7 5 -5.5 14.5 4 Past Life 1063 5.46 2.83 3 8 5 -4.5 15.5 5 Future Preferences 1063 4.14 2.82 2 6 4 -4 12 6 Future Personality 1063 4.23 2.81 2 6 4 -4 12 7 Future Values 1063 3.92 2.82 2 6 4 -4 12 8 Future Life 1063 5.05 2.85 3 7 4 -3 13 \# 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 13.8 0 2 Past Personality 1063 13.6 0 3 Past Values 1063 16.3 0 4 Past Life 1063 13.0 0 5 Future Preferences 1063 17.4 0 6 Future Personality 1063 16.9 0 7 Future Values 1063 21.7 0 8 Future Life 1063 12.1 0 \[1] "Homogeneity of variance across TIME within each DOMAIN:" \# A tibble: 4 ├ù 3   DOMAIN levene\_F levene\_p   1 Preferences 0.115 0.735 2 Personality 0.0390 0.843 3 Values 1.50 0.221 4 Life 0.453 0.501 \[1] "Homogeneity of variance across DOMAIN within each TIME:" \# A tibble: 2 ├ù 3   TIME levene\_F levene\_p   1 Past 1.43 0.233 2 Future 0.818 0.484 \[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 8.58 7.76 1.11 2 Past Personality 8.18 8.04 1.02 3 Past Values 8.35 8.65 1.04 4 Past Life 7.71 8.20 1.06 5 Future Preferences 8.16 7.79 1.05 6 Future Personality 8.00 7.83 1.02 7 Future Values 8.04 7.84 1.03 8 Future Life 8.21 7.97 1.03 \[1] "\\n=== HARTLEY'S F-MAX TEST RESULTS ===" \# A tibble: 8 ├ù 5   TIME DOMAIN observed\_ratio critical\_95 significant   1 Past Preferences 1.11 1.23 FALSE 2 Past Personality 1.02 1.12 FALSE 3 Past Values 1.04 1.14 FALSE 4 Past Life 1.06 1.18 FALSE 5 Future Preferences 1.05 1.17 FALSE 6 Future Personality 1.02 1.15 FALSE 7 Future Values 1.03 1.15 FALSE 8 Future Life 1.03 1.15 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 175403.313893 45334.099 4105.1420831 2 TEMPORAL\_DO 1 1061 104.781437 45334.099 2.4523065 **3 TIME 1 1061 363.139680 5710.697 67.4683362** **4 DOMAIN 3 3183 1524.702983 10462.463 154.6203659** 5 TEMPORAL\_DO:TIME 1 1061 4.340056 5710.697 0.8063464 **6 TEMPORAL\_DO:DOMAIN 3 3183 33.288120 10462.463 3.3757534** 7 TIME:DOMAIN 3 3183 9.191110 7100.516 1.3733886 8 TEMPORAL\_DO:TIME:DOMAIN 3 3183 4.974741 7100.516 0.7433545   p 1 0.00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000 2 0.11765050104906209227362268165961722843348979949951171875000000000000000000000000000000000000000000 3 0.00000000000000061782799119098067114168315594469049756298772990703582763671875000000000000000000000 4 0.00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000150209 5 0.36940636618506739186074128156178630888462066650390625000000000000000000000000000000000000000000000 6 0.01763146579785550976948726997761696111410856246948242187500000000000000000000000000000000000000000 7 0.24898565439172731794670312410744372755289077758789062500000000000000000000000000000000000000000000 8 0.52613525007520434151331301109166815876960754394531250000000000000000000000000000000000000000000000   p<.05 ges 1 \* 0.71883337333 2 0.00152492417 **3 \* 0.00526511333** **4 \* 0.02174032681** 5 0.00006325496 **6 \* 0.00048495927** 7 0.00013394807 8 0.00007250462 \[1] "\\nMauchly's Test of Sphericity:"   Effect W p 5 DOMAIN 0.8712463 0.000000000000000000000000000009197155 6 TEMPORAL\_DO:DOMAIN 0.8712463 0.000000000000000000000000000009197155 7 TIME:DOMAIN 0.9366421 0.000000000000139056847839002402420980 8 TEMPORAL\_DO:TIME:DOMAIN 0.9366421 0.000000000000139056847839002402420980   p<.05 5 \* 6 \* 7 \* 8 \* **\[1] "\\nGreenhouse-Geisser and Huynh-Feldt Corrections:"** **Effect GGe** **5 DOMAIN 0.9120175** **6 TEMPORAL\_DO:DOMAIN 0.9120175** 7 TIME:DOMAIN 0.9556034 8 TEMPORAL\_DO:TIME:DOMAIN 0.9556034   p\[GG] 5 0.0000000000000000000000000000000000000000000000000000000000000000000000000000000000001345237 6 0.0210110642827151770928306717678424320183694362640380859375000000000000000000000000000000000 7 0.2499237624236494703655608873305027373135089874267578125000000000000000000000000000000000000 8 0.5204622528563578320870419702259823679924011230468750000000000000000000000000000000000000000   p\[GG]<.05 HFe **5 \* 0.9146073** **6 \* 0.9146073** 7 0.9584655 8 0.9584655   p\[HF] 5 0.00000000000000000000000000000000000000000000000000000000000000000000000000000000000007847038 6 0.02090266902721321304325918788435956230387091636657714843750000000000000000000000000000000000 7 0.24986536855461360939756332300021313130855560302734375000000000000000000000000000000000000000 8 0.52083559605373963563579309266060590744018554687500000000000000000000000000000000000000000000   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 2.736053 2902.952 2.743822** **2 TEMPORAL\_DO:DOMAIN 3 3183 2.736053 2902.952 2.743822** 3 TIME:DOMAIN 3 3183 2.866810 3041.686 2.875396 4 TEMPORAL\_DO:TIME:DOMAIN 3 3183 2.866810 3041.686 2.875396 **HF\_DFd GG\_epsilon HF\_epsilon** **1 2911.195 0.9120175 0.9146073** **2 2911.195 0.9120175 0.9146073** 3 3050.796 0.9556034 0.9584655 4 3050.796 0.9556034 0.9584655 === CORRECTED F-TESTS === **DOMAIN:** **Original: F(3, 3183) = 154.620** **GG-corrected: F(2.74, 2902.95) = 154.620, p = 0.000000** **HF-corrected: F(2.74, 2911.20) = 154.620, p = 0.000000** **TEMPORAL\_DO:DOMAIN:** **Original: F(3, 3183) = 3.376** **GG-corrected: F(2.74, 2902.95) = 3.376, p = 0.021011** **HF-corrected: F(2.74, 2911.20) = 3.376, p = 0.020903** TIME:DOMAIN:   Original: F(3, 3183) = 1.373   GG-corrected: F(2.87, 3041.69) = 1.373, p = 0.249924   HF-corrected: F(2.88, 3050.80) = 1.373, p = 0.249865 TEMPORAL\_DO:TIME:DOMAIN:   Original: F(3, 3183) = 0.743   GG-corrected: F(2.87, 3041.69) = 0.743, p = 0.520462   HF-corrected: F(2.88, 3050.80) = 0.743, p = 0.520836 \[1] "\\n=== EFFECT SIZES (GENERALIZED ETA SQUARED) ===" \[1] "Generalized Eta Squared:"   Effect ges 1 (Intercept) 0.71883 2 TEMPORAL\_DO 0.00152 **3 TIME 0.00527** **5 DOMAIN 0.02174** 4 TEMPORAL\_DO:TIME 0.00006 **6 TEMPORAL\_DO:DOMAIN 0.00048** 7 TIME:DOMAIN 0.00013 8 TEMPORAL\_DO:TIME:DOMAIN 0.00007 \[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 4.75 0.0752 1324 4.60 4.90  Future 4.34 0.0752 1324 4.19 4.48 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 0.413 0.0503 1061 8.214 <.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 4.30 0.0786 1579 4.14 4.45  Personality 4.45 0.0786 1579 4.30 4.61  Values 4.17 0.0786 1579 4.01 4.32  Life 5.26 0.0786 1579 5.10 5.41 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 -0.153 0.0556 3183 -2.747 0.0362**  Preferences - Values 0.132 0.0556 3183 2.375 0.1057 **Preferences - Life -0.957 0.0556 3183 -17.204 <.0001** **Personality - Values 0.285 0.0556 3183 5.122 <.0001** **Personality - Life -0.804 0.0556 3183 -14.456 <.0001** **Values - Life -1.089 0.0556 3183 -19.579 <.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 0.222 0.142 1061 1.566 0.1177 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 4.88 0.106 1322 4.67 5.09  02FUT Past 4.62 0.106 1326 4.41 4.82  01PAST Future 4.42 0.106 1322 4.22 4.63  02FUT Future 4.25 0.106 1326 4.04 4.46 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 0.458 0.0709 1061 6.471 <.0001** **TEMPORAL\_DO = 02FUT:** **contrast estimate SE df t.ratio p.value** **Past - Future 0.368 0.0715 1061 5.151 <.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 0.267 0.15 1324 1.776 0.0759 TIME = Future:  contrast estimate SE df t.ratio p.value  01PAST - 02FUT 0.177 0.15 1324 1.175 0.2400 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 4.45 0.0872 2333 4.28 4.62  Future Preferences 4.14 0.0872 2333 3.97 4.31  Past Personality 4.67 0.0872 2333 4.50 4.84  Future Personality 4.23 0.0872 2333 4.06 4.40  Past Values 4.41 0.0872 2333 4.24 4.58  Future Values 3.92 0.0872 2333 3.75 4.09  Past Life 5.46 0.0872 2333 5.29 5.63  Future Life 5.05 0.0872 2333 4.88 5.22 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 -0.2187 0.072 6141 -3.036 0.0145  Preferences - Values 0.0424 0.072 6141 0.588 1.0000  Preferences - Life -1.0058 0.072 6141 -13.960 <.0001  Personality - Values 0.2611 0.072 6141 3.624 0.0018  Personality - Life -0.7871 0.072 6141 -10.924 <.0001  Values - Life -1.0482 0.072 6141 -14.549 <.0001 TIME = Future:  contrast estimate SE df t.ratio p.value  Preferences - Personality -0.0868 0.072 6141 -1.205 1.0000  Preferences - Values 0.2217 0.072 6141 3.078 0.0126  Preferences - Life -0.9076 0.072 6141 -12.597 <.0001  Personality - Values 0.3086 0.072 6141 4.283 0.0001  Personality - Life -0.8207 0.072 6141 -11.391 <.0001  Values - Life -1.1293 0.072 6141 -15.674 <.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 0.311 0.0754 3524 4.126 <.0001** **DOMAIN = Personality:** **contrast estimate SE df t.ratio p.value** **Past - Future 0.443 0.0754 3524 5.875 <.0001** **DOMAIN = Values:** **contrast estimate SE df t.ratio p.value** **Past - Future 0.490 0.0754 3524 6.506 <.0001** **DOMAIN = Life:** **contrast estimate SE df t.ratio p.value** **Past - Future 0.409 0.0754 3524 5.429 <.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 4.34 0.111 1575 4.12 4.56  02FUT Preferences 4.26 0.111 1584 4.04 4.48  01PAST Personality 4.56 0.111 1575 4.34 4.78  02FUT Personality 4.34 0.111 1584 4.13 4.56  01PAST Values 4.25 0.111 1575 4.03 4.47  02FUT Values 4.08 0.111 1584 3.86 4.30  01PAST Life 5.47 0.111 1575 5.25 5.68  02FUT Life 5.04 0.111 1584 4.83 5.26 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 -0.2183 0.0783 3183 -2.787 0.0321  Preferences - Values 0.0886 0.0783 3183 1.132 1.0000  Preferences - Life -1.1269 0.0783 3183 -14.390 <.0001  Personality - Values 0.3069 0.0783 3183 3.919 0.0005  Personality - Life -0.9086 0.0783 3183 -11.602 <.0001  Values - Life -1.2155 0.0783 3183 -15.521 <.0001 TEMPORAL\_DO = 02FUT:  contrast estimate SE df t.ratio p.value  Preferences - Personality -0.0873 0.0790 3183 -1.105 1.0000  Preferences - Values 0.1755 0.0790 3183 2.222 0.1579  Preferences - Life -0.7865 0.0790 3183 -9.959 <.0001  Personality - Values 0.2628 0.0790 3183 3.328 0.0053  Personality - Life -0.6992 0.0790 3183 -8.854 <.0001  Values - Life -0.9620 0.0790 3183 -12.182 <.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 0.0825 0.157 1579 0.524 0.6002 DOMAIN = Personality:  contrast estimate SE df t.ratio p.value  01PAST - 02FUT 0.2134 0.157 1579 1.357 0.1749 DOMAIN = Values:  contrast estimate SE df t.ratio p.value  01PAST - 02FUT 0.1694 0.157 1579 1.077 0.2818 DOMAIN = Life:  contrast estimate SE df t.ratio p.value  01PAST - 02FUT 0.4228 0.157 1579 2.688 0.0073 Results are averaged over the levels of: TIME \[1] "\\n=== THREE-WAY INTERACTION ANALYSIS ===" \[1] "Estimated Marginal Means:"  TEMPORAL\_DO TIME DOMAIN emmean SE df lower.CL upper.CL  01PAST Past Preferences 4.52 0.123 2321 4.28 4.76  02FUT Past Preferences 4.39 0.123 2344 4.14 4.63  01PAST Future Preferences 4.16 0.123 2321 3.92 4.40  02FUT Future Preferences 4.13 0.123 2344 3.89 4.37  01PAST Past Personality 4.80 0.123 2321 4.55 5.04  02FUT Past Personality 4.55 0.123 2344 4.31 4.79  01PAST Future Personality 4.32 0.123 2321 4.08 4.56  02FUT Future Personality 4.14 0.123 2344 3.90 4.38  01PAST Past Values 4.49 0.123 2321 4.24 4.73  02FUT Past Values 4.34 0.123 2344 4.09 4.58  01PAST Future Values 4.02 0.123 2321 3.77 4.26  02FUT Future Values 3.83 0.123 2344 3.58 4.07  01PAST Past Life 5.73 0.123 2321 5.49 5.97  02FUT Past Life 5.19 0.123 2344 4.95 5.43  01PAST Future Life 5.20 0.123 2321 4.96 5.45  02FUT Future Life 4.90 0.123 2344 4.65 5.14 Warning: EMMs are biased unless design is perfectly balanced Confidence level used: 0.95 \[1] "\\nSimple Effects of TIME within each TEMPORAL\_DO ├ù DOMAIN combination:" TEMPORAL\_DO = 01PAST, DOMAIN = Preferences:  contrast estimate SE df t.ratio p.value  Past - Future 0.364 0.106 3524 3.428 0.0006 TEMPORAL\_DO = 02FUT, DOMAIN = Preferences:  contrast estimate SE df t.ratio p.value  Past - Future 0.258 0.107 3524 2.411 0.0160 TEMPORAL\_DO = 01PAST, DOMAIN = Personality:  contrast estimate SE df t.ratio p.value  Past - Future 0.476 0.106 3524 4.483 <.0001 TEMPORAL\_DO = 02FUT, DOMAIN = Personality:  contrast estimate SE df t.ratio p.value  Past - Future 0.410 0.107 3524 3.829 0.0001 TEMPORAL\_DO = 01PAST, DOMAIN = Values:  contrast estimate SE df t.ratio p.value  Past - Future 0.470 0.106 3524 4.430 <.0001 TEMPORAL\_DO = 02FUT, DOMAIN = Values:  contrast estimate SE df t.ratio p.value  Past - Future 0.510 0.107 3524 4.769 <.0001 TEMPORAL\_DO = 01PAST, DOMAIN = Life:  contrast estimate SE df t.ratio p.value  Past - Future 0.524 0.106 3524 4.940 <.0001 TEMPORAL\_DO = 02FUT, DOMAIN = Life:  contrast estimate SE df t.ratio p.value  Past - Future 0.294 0.107 3524 2.748 0.0060 \[1] "\\n=== COHEN'S D FOR SIGNIFICANT TWO-WAY INTERACTIONS ===" \[1] "\\n=== COHEN'S D FOR T**EMPORAL\_DO ├ù TIME INTERACTION** ===" Significant pairwise comparisons (p < 0.05): **contrast TEMPORAL\_DO estimate SE df t.ratio p.value** **Past - Future 01PAST 0.4584888 0.07085809 1061 6.471 <.0001** **Past - Future 02FUT 0.3681214 0.07146058 1061 5.151 <.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: 0.15841**   Effect size interpretation: negligible   p-value: 0.00000 **Comparison: Past - Future | 02FUT**   n1 = 2108, n2 = 2108 **Cohen's d: 0.12907**   Effect size interpretation: negligible   p-value: 0.00000 No significant pairwise comparisons found. \[1] "\\n=== **COHEN'S D FOR TIME ├ù DOMAI**N INTERACTION ===" Significant pairwise comparisons (p < 0.05): **contrast DOMAIN estimate SE df t.ratio p.value** **Past - Future Preferences 0.3109352 0.07536529 3523.81 4.126 <.0001** **Past - Future Personality 0.4428067 0.07536529 3523.81 5.875 <.0001** **Past - Future Values 0.4902928 0.07536529 3523.81 6.506 <.0001** **Past - Future Life 0.4091857 0.07536529 3523.81 5.429 <.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: 0.10962**   Effect size interpretation: negligible   p-value: 0.00004 **Comparison: Past - Future | Personality**   n1 = 1063, n2 = 1063   **Cohen's d: 0.15646**   Effect size interpretation: negligible   p-value: 0.00000 **Comparison: Past - Future | Values**   n1 = 1063, n2 = 1063 **Cohen's d: 0.17095**   Effect size interpretation: negligible   p-value: 0.00000 **Comparison: Past - Future | Life**   n1 = 1063, n2 = 1063 **Cohen's d: 0.14446**   Effect size interpretation: negligible   p-value: 0.00000 Significant pairwise comparisons (p < 0.05):  contrast TIME estimate SE df t.ratio p.value  Preferences - Personality Past -0.2187208 0.07204929 6140.98 -3.036 0.0145  Preferences - Life Past -1.0058218 0.07204929 6140.98 -13.960 <.0001  Personality - Values Past 0.2611126 0.07204929 6140.98 3.624 0.0018  Personality - Life Past -0.7871010 0.07204929 6140.98 -10.924 <.0001  Values - Life Past -1.0482136 0.07204929 6140.98 -14.549 <.0001  Preferences - Values Future 0.2217494 0.07204929 6140.98 3.078 0.0126  Preferences - Life Future -0.9075714 0.07204929 6140.98 -12.597 <.0001  Personality - Values Future 0.3085987 0.07204929 6140.98 4.283 0.0001  Personality - Life Future -0.8207221 0.07204929 6140.98 -11.391 <.0001  Values - Life Future -1.1293208 0.07204929 6140.98 -15.674 <.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: -0.07681   Effect size interpretation: negligible   p-value: 0.01446 Comparison: Preferences - Life | Past   n1 = 1063, n2 = 1063   Cohen's d: -0.35418   Effect size interpretation: small   p-value: 0.00000 Comparison: Personality - Values | Past   n1 = 1063, n2 = 1063   Cohen's d: 0.09073   Effect size interpretation: negligible   p-value: 0.00175 Comparison: Personality - Life | Past   n1 = 1063, n2 = 1063   Cohen's d: -0.27756   Effect size interpretation: small   p-value: 0.00000 Comparison: Values - Life | Past   n1 = 1063, n2 = 1063   Cohen's d: -0.36538   Effect size interpretation: small   p-value: 0.00000 Comparison: Preferences - Values | Future   n1 = 1063, n2 = 1063   Cohen's d: 0.07838   Effect size interpretation: negligible   p-value: 0.01257 Comparison: Preferences - Life | Future   n1 = 1063, n2 = 1063   Cohen's d: -0.32051   Effect size interpretation: small   p-value: 0.00000 Comparison: Personality - Values | Future   n1 = 1063, n2 = 1063   Cohen's d: 0.10956   Effect size interpretation: negligible   p-value: 0.00011 Comparison: Personality - Life | Future   n1 = 1063, n2 = 1063   Cohen's d: -0.29009   Effect size interpretation: small   p-value: 0.00000 Comparison: Values - Life | Future   n1 = 1063, n2 = 1063   Cohen's d: -0.39881   Effect size interpretation: small   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 0.4227906 0.1572823 1579.2 2.688 0.0073 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: 0.14893   Effect size interpretation: negligible   p-value: 0.00726 Significant pairwise comparisons (p < 0.05):  contrast TEMPORAL\_DO estimate SE df t.ratio  Preferences - Personality 01PAST -0.2182836 0.07830983 3183 -2.787  Preferences - Life 01PAST -1.1268657 0.07830983 3183 -14.390  Personality - Values 01PAST 0.3069030 0.07830983 3183 3.919  Personality - Life 01PAST -0.9085821 0.07830983 3183 -11.602  Values - Life 01PAST -1.2154851 0.07830983 3183 -15.521  Preferences - Life 02FUT -0.7865275 0.07897567 3183 -9.959  Personality - Values 02FUT 0.2628083 0.07897567 3183 3.328  Personality - Life 02FUT -0.6992410 0.07897567 3183 -8.854  Values - Life 02FUT -0.9620493 0.07897567 3183 -12.182  p.value   0.0321   <.0001   0.0005   <.0001   <.0001   <.0001   0.0053   <.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: -0.07591   Effect size interpretation: negligible   p-value: 0.03207 Comparison: Preferences - Life | 01PAST   n1 = 1072, n2 = 1072   Cohen's d: -0.39333   Effect size interpretation: small   p-value: 0.00000 Comparison: Personality - Values | 01PAST   n1 = 1072, n2 = 1072   Cohen's d: 0.10722   Effect size interpretation: negligible   p-value: 0.00054 Comparison: Personality - Life | 01PAST   n1 = 1072, n2 = 1072   Cohen's d: -0.31964   Effect size interpretation: small   p-value: 0.00000 Comparison: Values - Life | 01PAST   n1 = 1072, n2 = 1072   Cohen's d: -0.42622   Effect size interpretation: small   p-value: 0.00000 Comparison: Preferences - Life | 02FUT   n1 = 1054, n2 = 1054   Cohen's d: -0.27911   Effect size interpretation: small   p-value: 0.00000 Comparison: Personality - Values | 02FUT   n1 = 1054, n2 = 1054   Cohen's d: 0.09213   Effect size interpretation: negligible   p-value: 0.00531 Comparison: Personality - Life | 02FUT   n1 = 1054, n2 = 1054   Cohen's d: -0.24666   Effect size interpretation: small   p-value: 0.00000 Comparison: Values - Life | 02FUT   n1 = 1054, n2 = 1054   Cohen's d: -0.33596   Effect size interpretation: small   p-value: 0.00000 \[1] "\\n=== **COHEN'S D FOR THREE-WAY INTERACTION** ===" \[1] "The pairwise comparisons show the TIME effects within each TEMPORAL\_DO ├ù DOMAIN combination:" **TEMPORAL\_DO = 01PAST, DOMAIN = Preferences:** **contrast estimate SE df t.ratio p.value** **Past - Future 0.3638060 0.1061305 3523.81 3.428 0.0006** **TEMPORAL\_DO = 02FUT, DOMAIN = Preferences:** **contrast estimate SE df t.ratio p.value** **Past - Future 0.2580645 0.1070329 3523.81 2.411 0.0160** **TEMPORAL\_DO = 01PAST, DOMAIN = Personality:** **contrast estimate SE df t.ratio p.value** **Past - Future 0.4757463 0.1061305 3523.81 4.483 <.0001** **TEMPORAL\_DO = 02FUT, DOMAIN = Personality:** **contrast estimate SE df t.ratio p.value** **Past - Future 0.4098672 0.1070329 3523.81 3.829 0.0001** **TEMPORAL\_DO = 01PAST, DOMAIN = Values:** **contrast estimate SE df t.ratio p.value** **Past - Future 0.4701493 0.1061305 3523.81 4.430 <.0001** **TEMPORAL\_DO = 02FUT, DOMAIN = Values:** **contrast estimate SE df t.ratio p.value** **Past - Future 0.5104364 0.1070329 3523.81 4.769 <.0001** **TEMPORAL\_DO = 01PAST, DOMAIN = Life:** **contrast estimate SE df t.ratio p.value** **Past - Future 0.5242537 0.1061305 3523.81 4.940 <.0001** **TEMPORAL\_DO = 02FUT, DOMAIN = Life:** **contrast estimate SE df t.ratio p.value** **Past - Future 0.2941176 0.1070329 3523.81 2.748 0.0060** \[1] "\\nCohen's d calculations for significant TIME effects within each TEMPORAL\_DO ├ù DOMAIN combination:" **TEMPORAL\_DO = 01PAST, DOMAIN = Preferences:**   Past vs Future comparison   n\_Past = 536, n\_Future = 536 **Cohen's d: 0.12574**   Effect size interpretation: negligible   p-value: 0.00062   Estimated difference: 0.36381 **TEMPORAL\_DO = 02FUT, DOMAIN = Preferences:**   Past vs Future comparison   n\_Past = 527, n\_Future = 527 **Cohen's d: 0.09256**   Effect size interpretation: negligible   p-value: 0.01596   Estimated difference: 0.25806 **TEMPORAL\_DO = 01PAST, DOMAIN = Personality:**   Past vs Future comparison   n\_Past = 536, n\_Future = 536 **Cohen's d: 0.16725**   Effect size interpretation: negligible   p-value: 0.00001   Estimated difference: 0.47575 **TEMPORAL\_DO = 02FUT, DOMAIN = Personality:**   Past vs Future comparison   n\_Past = 527, n\_Future = 527 **Cohen's d: 0.14547**   Effect size interpretation: negligible   p-value: 0.00013   Estimated difference: 0.40987 **TEMPORAL\_DO = 01PAST, DOMAIN = Values:**   Past vs Future comparison   n\_Past = 536, n\_Future = 536 **Cohen's d: 0.16420**   Effect size interpretation: negligible   p-value: 0.00001   Estimated difference: 0.47015 **TEMPORAL\_DO = 02FUT, DOMAIN = Values:**   Past vs Future comparison   n\_Past = 527, n\_Future = 527 **Cohen's d: 0.17779**   Effect size interpretation: negligible   p-value: 0.00000   Estimated difference: 0.51044 **TEMPORAL\_DO = 01PAST, DOMAIN = Life:**   Past vs Future comparison   n\_Past = 536, n\_Future = 536 **Cohen's d: 0.18584**   Effect size interpretation: negligible   p-value: 0.00000   Estimated difference: 0.52425 **TEMPORAL\_DO = 02FUT, DOMAIN = Life:**   Past vs Future comparison   n\_Past = 527, n\_Future = 527 **Cohen's d: 0.10343**   Effect size interpretation: negligible   p-value: 0.00603   Estimated difference: 0.29412 \[1] "\\n=== ANALYSIS COMPLETE ===" \[1] "All significant and marginal effects have been analyzed with Cohen's d calculations."