Rscript : ΓöÇΓöÇ Attaching core tidyverse packages ΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇ tidyverse 2.0.0 ΓöÇΓöÇ At line:1 char:47 + ... OHI\eohi2"; Rscript "mixed anova - DGEN.r" > "results exp2 - mixed an ... + ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + 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: 490 x214" [1] "Number of participants: 490" [1] "All required DGEN variables found!" [1] "Variable mapping:" variable TIME DOMAIN INTERVAL 1 DGEN_past_5_Pref Past Preferences 5 2 DGEN_past_5_Pers Past Personality 5 3 DGEN_past_5_Val Past Values 5 4 DGEN_past_10_Pref Past Preferences 10 5 DGEN_past_10_Pers Past Personality 10 6 DGEN_past_10_Val Past Values 10 7 DGEN_fut_5_Pref Future Preferences 5 8 DGEN_fut_5_Pers Future Personality 5 9 DGEN_fut_5_Val Future Values 5 10 DGEN_fut_10_Pref Future Preferences 10 11 DGEN_fut_10_Pers Future Personality 10 12 DGEN_fut_10_Val Future Values 10 [1] "Long data dimensions: 5880 x8" [1] "Number of participants: 490" [1] "Factor levels:" [1] "TIME: Past, Future" [1] "DOMAIN: Preferences, Personality, Values" [1] "INTERVAL: 5, 10" [1] "temporal_DO: 01PAST, 02FUT" [1] "interval_DO: 5, 10" [1] "Descriptive statistics by TIME, DOMAIN, and INTERVAL:" # A tibble: 12 ├ù 12 TIME DOMAIN INTERVAL n mean variance sd median q1 q3 min 1 Past PreferenΓǪ 5 490 3.62 8.14 2.85 3 1 6 0 2 Past PreferenΓǪ 10 490 4.00 8.41 2.90 4 1 6 0 3 Past PersonalΓǪ 5 490 3.84 7.76 2.79 4 1 6 0 4 Past PersonalΓǪ 10 490 4.24 8.50 2.92 4.5 2 7 0 5 Past Values 5 490 3.66 8.16 2.86 3 1 6 0 6 Past Values 10 490 4.16 8.63 2.94 4 2 6 0 7 Future PreferenΓǪ 5 490 3.56 8.37 2.89 3 1 6 0 8 Future PreferenΓǪ 10 490 3.8 8.06 2.84 3 1 6 0 9 Future PersonalΓǪ 5 490 3.74 8.40 2.90 3 1 6 0 10 Future PersonalΓǪ 10 490 3.94 8.16 2.86 4 1 6 0 11 Future Values 5 490 3.63 8.39 2.90 3 1 6 0 12 Future Values 10 490 3.75 8.21 2.86 3 1 6 0 # Γä╣ 1 more variable: max [1] "Descriptive statistics by between-subjects factors:" # A tibble: 48 ├ù 9 temporal_DO interval_DO TIME DOMAIN INTERVAL n mean variance sd 1 01PAST 5 Past PreferencΓǪ 5 118 3.75 8.29 2.88 2 01PAST 5 Past PreferencΓǪ 10 118 4.18 9.09 3.01 3 01PAST 5 Past PersonaliΓǪ 5 118 4.04 8.13 2.85 4 01PAST 5 Past PersonaliΓǪ 10 118 4.25 8.09 2.84 5 01PAST 5 Past Values 5 118 3.91 8.26 2.87 6 01PAST 5 Past Values 10 118 4.54 9.04 3.01 7 01PAST 5 Future PreferencΓǪ 5 118 3.78 8.57 2.93 8 01PAST 5 Future PreferencΓǪ 10 118 3.83 7.87 2.81 9 01PAST 5 Future PersonaliΓǪ 5 118 4.13 8.47 2.91 10 01PAST 5 Future PersonaliΓǪ 10 118 3.95 7.91 2.81 # Γä╣ 38 more rows [1] "\n=== KEY MEAN DIFFERENCES ===" [1] "Past vs Future differences by DOMAIN ├ù INTERVAL:" # A tibble: 6 ├ù 6 DOMAIN INTERVAL n mean_diff sd_diff se_diff 1 Preferences 5 490 0.0673 2.00 0.0901 2 Preferences 10 490 0.202 2.29 0.104 3 Personality 5 490 0.0980 1.86 0.0838 4 Personality 10 490 0.296 2.34 0.106 5 Values 5 490 0.0286 2.16 0.0976 6 Values 10 490 0.404 2.32 0.105 [1] "\n5 vs 10 interval differences by TIME ├ù DOMAIN:" # A tibble: 6 ├ù 6 TIME DOMAIN n mean_diff sd_diff se_diff 1 Past Preferences 490 -0.380 1.75 0.0791 2 Past Personality 490 -0.398 1.88 0.0852 3 Past Values 490 -0.492 1.88 0.0849 4 Future Preferences 490 -0.245 1.75 0.0789 5 Future Personality 490 -0.2 1.90 0.0858 6 Future Values 490 -0.116 1.90 0.0858 [1] "Data after removing missing values: 5880 x8" [1] "Missing values by TIME, DOMAIN, and INTERVAL:" # A tibble: 12 ├ù 6 TIME DOMAIN INTERVAL n_total n_missing pct_missing 1 Past Preferences 5 490 0 0 2 Past Preferences 10 490 0 0 3 Past Personality 5 490 0 0 4 Past Personality 10 490 0 0 5 Past Values 5 490 0 0 6 Past Values 10 490 0 0 7 Future Preferences 5 490 0 0 8 Future Preferences 10 490 0 0 9 Future Personality 5 490 0 0 10 Future Personality 10 490 0 0 11 Future Values 5 490 0 0 12 Future Values 10 490 0 0 [1] "Outlier summary (IQR method):" # A tibble: 12 ├ù 12 TIME DOMAIN INTERVAL n mean sd q1 q3 iqr lower_bound 1 Past Preferences 5 490 3.62 2.85 1 6 5 -6.5 2 Past Preferences 10 490 4.00 2.90 1 6 5 -6.5 3 Past Personality 5 490 3.84 2.79 1 6 5 -6.5 4 Past Personality 10 490 4.24 2.92 2 7 5 -5.5 5 Past Values 5 490 3.66 2.86 1 6 5 -6.5 6 Past Values 10 490 4.16 2.94 2 6 4 -4 7 Future Preferences 5 490 3.56 2.89 1 6 5 -6.5 8 Future Preferences 10 490 3.8 2.84 1 6 5 -6.5 9 Future Personality 5 490 3.74 2.90 1 6 5 -6.5 10 Future Personality 10 490 3.94 2.86 1 6 5 -6.5 11 Future Values 5 490 3.63 2.90 1 6 5 -6.5 12 Future Values 10 490 3.75 2.86 1 6 5 -6.5 # Γä╣ 2 more variables: upper_bound , n_outliers [1] "Anderson-Darling normality test results:" # A tibble: 12 ├ù 6 TIME DOMAIN INTERVAL n ad_statistic ad_p_value 1 Past Preferences 5 490 11.3 0 2 Past Preferences 10 490 9.47 0 3 Past Personality 5 490 9.90 0 4 Past Personality 10 490 9.07 0 5 Past Values 5 490 11.7 0 6 Past Values 10 490 9.19 0 7 Future Preferences 5 490 14.7 0 8 Future Preferences 10 490 10.8 0 9 Future Personality 5 490 12.4 0 10 Future Personality 10 490 10.4 0 11 Future Values 5 490 13.3 0 12 Future Values 10 490 11.6 0 [1] "Homogeneity of variance across TIME within each DOMAIN ├ù INTERVAL:" # A tibble: 6 ├ù 4 DOMAIN INTERVAL levene_F levene_p 1 Preferences 5 0.0466 0.829 2 Preferences 10 0.698 0.404 3 Personality 5 0.396 0.530 4 Personality 10 0.752 0.386 5 Values 5 0.0250 0.874 6 Values 10 0.728 0.394 [1] "Homogeneity of variance across DOMAIN within each TIME ├ù INTERVAL:" # A tibble: 4 ├ù 4 TIME INTERVAL levene_F levene_p 1 Past 5 0.0565 0.945 2 Past 10 0.0964 0.908 3 Future 5 0.0688 0.933 4 Future 10 0.0919 0.912 [1] "Homogeneity of variance across INTERVAL within each TIME ├ù DOMAIN:" # A tibble: 6 ├ù 4 TIME DOMAIN levene_F levene_p 1 Past Preferences 0.689 0.407 2 Past Personality 1.80 0.180 3 Past Values 0.721 0.396 4 Future Preferences 0.0536 0.817 5 Future Personality 0.0424 0.837 6 Future Values 0.0305 0.861 [1] "\n=== HARTLEY'S F-MAX TEST RESULTS ===" [1] "F-max test across temporal_DO within each TIME ├ù DOMAIN ├ù INTERVAL combination:" # A tibble: 12 ├ù 6 TIME DOMAIN INTERVAL observed_ratio critical_95 significant 1 Past Preferences 5 1.01 1.20 FALSE 2 Past Preferences 10 1.01 1.19 FALSE 3 Past Personality 5 1.04 1.22 FALSE 4 Past Personality 10 1.14 1.32 FALSE 5 Past Values 5 1.03 1.22 FALSE 6 Past Values 10 1.07 1.23 FALSE 7 Future Preferences 5 1.01 1.20 FALSE 8 Future Preferences 10 1.05 1.24 FALSE 9 Future Personality 5 1.04 1.21 FALSE 10 Future Personality 10 1.02 1.22 FALSE 11 Future Values 5 1.11 1.28 FALSE 12 Future Values 10 1.03 1.21 FALSE [1] "F-max test across interval_DO within each TIME ├ù DOMAIN ├ù INTERVAL combination:" # A tibble: 12 ├ù 6 TIME DOMAIN INTERVAL observed_ratio critical_95 significant 1 Past Preferences 5 1.01 1.21 FALSE 2 Past Preferences 10 1.06 1.23 FALSE 3 Past Personality 5 1.02 1.19 FALSE 4 Past Personality 10 1.06 1.22 FALSE 5 Past Values 5 1.04 1.22 FALSE 6 Past Values 10 1.01 1.19 FALSE 7 Future Preferences 5 1.03 1.22 FALSE 8 Future Preferences 10 1.13 1.32 FALSE 9 Future Personality 5 1.11 1.30 FALSE 10 Future Personality 10 1.09 1.28 FALSE 11 Future Values 5 1.01 1.20 FALSE 12 Future Values 10 1.19 1.39 FALSE [1] "Data size for ANOVA: 5880 rows" [1] "Number of participants: 490" [1] "Design factors: TIME (2), DOMAIN (3), INTERVAL (2), temporal_DO (2), interval_DO (2)" [1] "Complete cases: 5880 out of 5880" [1] "Design is balanced: each participant has data for all TIME ├ù DOMAIN ├ù INTERVAL 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 1 (Intercept) 1 486 85074.892052779 2 temporal_DO 1 486 68.550854521 3 interval_DO 1 486 55.877545131 4 TIME 1 486 48.855359167 5 DOMAIN 2 972 38.114643660 6 INTERVAL 1 486 147.529333154 7 temporal_DO:interval_DO 1 486 0.959172423 8 temporal_DO:TIME 1 486 5.118355089 9 interval_DO:TIME 1 486 1.660749212 10 temporal_DO:DOMAIN 2 972 8.285508007 11 interval_DO:DOMAIN 2 972 3.337957944 12 temporal_DO:INTERVAL 1 486 0.005375500 13 interval_DO:INTERVAL 1 486 38.590956399 14 TIME:DOMAIN 2 972 2.195732600 15 TIME:INTERVAL 1 486 17.016497936 16 DOMAIN:INTERVAL 2 972 0.009677065 17 temporal_DO:interval_DO:TIME 1 486 0.638372378 18 temporal_DO:interval_DO:DOMAIN 2 972 5.683335235 19 temporal_DO:interval_DO:INTERVAL 1 486 3.252407717 20 temporal_DO:TIME:DOMAIN 2 972 1.174512355 21 interval_DO:TIME:DOMAIN 2 972 5.655014874 22 temporal_DO:TIME:INTERVAL 1 486 7.410890860 23 interval_DO:TIME:INTERVAL 1 486 14.100014130 24 temporal_DO:DOMAIN:INTERVAL 2 972 5.836045755 25 interval_DO:DOMAIN:INTERVAL 2 972 5.136219718 26 TIME:DOMAIN:INTERVAL 2 972 3.372000297 27 temporal_DO:interval_DO:TIME:DOMAIN 2 972 1.276596423 28 temporal_DO:interval_DO:TIME:INTERVAL 1 486 4.601998563 29 temporal_DO:interval_DO:DOMAIN:INTERVAL 2 972 1.577967272 30 temporal_DO:TIME:DOMAIN:INTERVAL 2 972 3.549571605 31 interval_DO:TIME:DOMAIN:INTERVAL 2 972 2.499468844 32 temporal_DO:interval_DO:TIME:DOMAIN:INTERVAL 2 972 0.007471178 SSd F 1 36635.023 1128.603016481 2 36635.023 0.909395232 3 36635.023 0.741271184 4 2940.266 8.075360068 5 2286.029 8.103009927 6 1263.935 56.727023930 7 36635.023 0.012724376 8 2940.266 0.846018963 9 2940.266 0.274507200 10 2286.029 1.761463500 11 2286.029 0.709635556 12 1263.935 0.002066952 13 1263.935 14.838744678 14 1500.674 0.711097688 15 1206.670 6.853585026 16 1231.025 0.003820438 17 2940.266 0.105517325 18 2286.029 1.208252719 19 1263.935 1.250594756 20 1500.674 0.380371007 21 1500.674 1.831401512 22 1206.670 2.984819251 23 1206.670 5.678938526 24 1231.025 2.304030610 25 1231.025 2.027744117 26 1205.706 1.359196658 27 1500.674 0.413431383 28 1206.670 1.853506436 29 1231.025 0.622970595 30 1205.706 1.430772669 31 1205.706 1.007493891 32 1205.706 0.003011506 p 1 0.000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000008480321 2 0.340748985611028287756596455437829717993736267089843750000000000000000000000000000000000000000000000000000000000000000000000000000000000 3 0.389678531642522085753910232597263529896736145019531250000000000000000000000000000000000000000000000000000000000000000000000000000000000 4 0.004675720424478625389386188260232302127406001091003417968750000000000000000000000000000000000000000000000000000000000000000000000000000 5 0.000323535625960974472167808180245174298761412501335144042968750000000000000000000000000000000000000000000000000000000000000000000000000 6 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0.683709448290545251936123349878471344709396362304687500000000000000000000000000000000000000000000000000000000000000000000000000000000000 21 0.160741224705664209615463278169045224785804748535156250000000000000000000000000000000000000000000000000000000000000000000000000000000000 22 0.084683943452755136571674654533126158639788627624511718750000000000000000000000000000000000000000000000000000000000000000000000000000000 23 0.017553051046090638320773535951957455836236476898193359375000000000000000000000000000000000000000000000000000000000000000000000000000000 24 0.100400676734204524764848542872641701251268386840820312500000000000000000000000000000000000000000000000000000000000000000000000000000000 25 0.132188591117414738773661042614548932760953903198242187500000000000000000000000000000000000000000000000000000000000000000000000000000000 26 0.257354810306873460490351135376840829849243164062500000000000000000000000000000000000000000000000000000000000000000000000000000000000000 27 0.661493161446819799564877939701545983552932739257812500000000000000000000000000000000000000000000000000000000000000000000000000000000000 28 0.174006953495851518498582777283445466309785842895507812500000000000000000000000000000000000000000000000000000000000000000000000000000000 29 0.536562802682404305087970897147897630929946899414062500000000000000000000000000000000000000000000000000000000000000000000000000000000000 30 0.239627244043747633650554007544997148215770721435546875000000000000000000000000000000000000000000000000000000000000000000000000000000000 31 0.365513871440366455711767912362120114266872406005859375000000000000000000000000000000000000000000000000000000000000000000000000000000000 32 0.996993033195139766178272111574187874794006347656250000000000000000000000000000000000000000000000000000000000000000000000000000000000000 p<.05 ges 1 * 0.6380095949927 2 0.0014181601603 3 0.0011562815739 4 * 0.0010111174597 5 * 0.0007890014726 6 * 0.0030470654276 7 0.0000198708662 8 0.0001060261782 9 0.0000344047065 10 0.0001716221525 11 0.0000691479920 12 0.0000001113647 13 * 0.0007988536239 14 0.0000454871198 15 * 0.0003524080771 16 0.0000002004806 17 0.0000132250428 18 0.0001177283037 19 0.0000673758822 20 0.0000243318856 21 0.0001171417260 22 0.0001535085214 23 * 0.0002920259519 24 0.0001208912663 25 0.0001063962027 26 0.0000698531524 27 0.0000264466630 28 0.0000953309277 29 0.0000326898207 30 0.0000735313857 31 0.0000517790388 32 0.0000001547810 [1] "\nMauchly's Test of Sphericity:" Effect W p p<.05 9 DOMAIN 0.9982744 0.657827768 10 temporal_DO:DOMAIN 0.9982744 0.657827768 11 interval_DO:DOMAIN 0.9982744 0.657827768 12 temporal_DO:interval_DO:DOMAIN 0.9982744 0.657827768 17 TIME:DOMAIN 0.9854142 0.028350994 * 18 temporal_DO:TIME:DOMAIN 0.9854142 0.028350994 * 19 interval_DO:TIME:DOMAIN 0.9854142 0.028350994 * 20 temporal_DO:interval_DO:TIME:DOMAIN 0.9854142 0.028350994 * 25 DOMAIN:INTERVAL 0.9990250 0.789352699 26 temporal_DO:DOMAIN:INTERVAL 0.9990250 0.789352699 27 interval_DO:DOMAIN:INTERVAL 0.9990250 0.789352699 28 temporal_DO:interval_DO:DOMAIN:INTERVAL 0.9990250 0.789352699 29 TIME:DOMAIN:INTERVAL 0.9792646 0.006212469 * 30 temporal_DO:TIME:DOMAIN:INTERVAL 0.9792646 0.006212469 * 31 interval_DO:TIME:DOMAIN:INTERVAL 0.9792646 0.006212469 * 32 temporal_DO:interval_DO:TIME:DOMAIN:INTERVAL 0.9792646 0.006212469 * [1] "\nGreenhouse-Geisser and Huynh-Feldt Corrections:" Effect GGe p[GG] p[GG]<.05 9 DOMAIN 0.9982774 0.000326487 * 10 temporal_DO:DOMAIN 0.9982774 0.172406506 11 interval_DO:DOMAIN 0.9982774 0.491848797 12 temporal_DO:interval_DO:DOMAIN 0.9982774 0.299125162 17 TIME:DOMAIN 0.9856239 0.489440386 18 temporal_DO:TIME:DOMAIN 0.9856239 0.680667495 19 interval_DO:TIME:DOMAIN 0.9856239 0.161346517 20 temporal_DO:interval_DO:TIME:DOMAIN 0.9856239 0.658534371 25 DOMAIN:INTERVAL 0.9990260 0.996168279 26 temporal_DO:DOMAIN:INTERVAL 0.9990260 0.100456145 27 interval_DO:DOMAIN:INTERVAL 0.9990260 0.132238221 28 temporal_DO:interval_DO:DOMAIN:INTERVAL 0.9990260 0.536411388 29 TIME:DOMAIN:INTERVAL 0.9796858 0.257312505 30 temporal_DO:TIME:DOMAIN:INTERVAL 0.9796858 0.239771905 31 interval_DO:TIME:DOMAIN:INTERVAL 0.9796858 0.364233492 32 temporal_DO:interval_DO:TIME:DOMAIN:INTERVAL 0.9796858 0.996655774 HFe p[HF] p[HF]<.05 9 1.0023918 0.0003235356 * 10 1.0023918 0.1723411978 11 1.0023918 0.4920780333 12 1.0023918 0.2991670174 17 0.9896083 0.4899752026 18 0.9896083 0.6815152516 19 0.9896083 0.1611790099 20 0.9896083 0.6593588094 25 1.0031482 0.9961868652 26 1.0031482 0.1004006767 27 1.0031482 0.1321885911 28 1.0031482 0.5365628027 29 0.9836096 0.2573224613 30 0.9836096 0.2397455282 31 0.9836096 0.3644837593 32 0.9836096 0.9967237782 [1] "\n=== CORRECTED DEGREES OF FREEDOM ===" Effect Original_DFn Original_DFd 1 DOMAIN 2 972 2 temporal_DO:DOMAIN 2 972 3 interval_DO:DOMAIN 2 972 4 temporal_DO:interval_DO:DOMAIN 2 972 5 TIME:DOMAIN 2 972 6 temporal_DO:TIME:DOMAIN 2 972 7 interval_DO:TIME:DOMAIN 2 972 8 temporal_DO:interval_DO:TIME:DOMAIN 2 972 9 DOMAIN:INTERVAL 2 972 10 temporal_DO:DOMAIN:INTERVAL 2 972 11 interval_DO:DOMAIN:INTERVAL 2 972 12 temporal_DO:interval_DO:DOMAIN:INTERVAL 2 972 13 TIME:DOMAIN:INTERVAL 2 972 14 temporal_DO:TIME:DOMAIN:INTERVAL 2 972 15 interval_DO:TIME:DOMAIN:INTERVAL 2 972 16 temporal_DO:interval_DO:TIME:DOMAIN:INTERVAL 2 972 GG_DFn GG_DFd HF_DFn HF_DFd GG_epsilon HF_epsilon 1 1.996555 970.3256 2.004784 974.3249 0.9982774 1.0023918 2 1.996555 970.3256 2.004784 974.3249 0.9982774 1.0023918 3 1.996555 970.3256 2.004784 974.3249 0.9982774 1.0023918 4 1.996555 970.3256 2.004784 974.3249 0.9982774 1.0023918 5 1.971248 958.0265 1.979217 961.8992 0.9856239 0.9896083 6 1.971248 958.0265 1.979217 961.8992 0.9856239 0.9896083 7 1.971248 958.0265 1.979217 961.8992 0.9856239 0.9896083 8 1.971248 958.0265 1.979217 961.8992 0.9856239 0.9896083 9 1.998052 971.0533 2.006296 975.0600 0.9990260 1.0031482 10 1.998052 971.0533 2.006296 975.0600 0.9990260 1.0031482 11 1.998052 971.0533 2.006296 975.0600 0.9990260 1.0031482 12 1.998052 971.0533 2.006296 975.0600 0.9990260 1.0031482 13 1.959372 952.2546 1.967219 956.0685 0.9796858 0.9836096 14 1.959372 952.2546 1.967219 956.0685 0.9796858 0.9836096 15 1.959372 952.2546 1.967219 956.0685 0.9796858 0.9836096 16 1.959372 952.2546 1.967219 956.0685 0.9796858 0.9836096 [1] "=== CORRECTED F-TESTS ===" Effect Original_F Original_DFn 1 DOMAIN 8.103009927 2 2 temporal_DO:DOMAIN 1.761463500 2 3 interval_DO:DOMAIN 0.709635556 2 4 temporal_DO:interval_DO:DOMAIN 1.208252719 2 5 TIME:DOMAIN 0.711097688 2 6 temporal_DO:TIME:DOMAIN 0.380371007 2 7 interval_DO:TIME:DOMAIN 1.831401512 2 8 temporal_DO:interval_DO:TIME:DOMAIN 0.413431383 2 9 DOMAIN:INTERVAL 0.003820438 2 10 temporal_DO:DOMAIN:INTERVAL 2.304030610 2 11 interval_DO:DOMAIN:INTERVAL 2.027744117 2 12 temporal_DO:interval_DO:DOMAIN:INTERVAL 0.622970595 2 13 TIME:DOMAIN:INTERVAL 1.359196658 2 14 temporal_DO:TIME:DOMAIN:INTERVAL 1.430772669 2 15 interval_DO:TIME:DOMAIN:INTERVAL 1.007493891 2 16 temporal_DO:interval_DO:TIME:DOMAIN:INTERVAL 0.003011506 2 Original_DFd GG_DFn GG_DFd HF_DFn HF_DFd GG_p HF_p 1 972 1.996555 970.3256 2.004784 974.3249 0.000326487 0.0003235356 2 972 1.996555 970.3256 2.004784 974.3249 0.172406506 0.1723411978 3 972 1.996555 970.3256 2.004784 974.3249 0.491848797 0.4920780333 4 972 1.996555 970.3256 2.004784 974.3249 0.299125162 0.2991670174 5 972 1.971248 958.0265 1.979217 961.8992 0.489440386 0.4899752026 6 972 1.971248 958.0265 1.979217 961.8992 0.680667495 0.6815152516 7 972 1.971248 958.0265 1.979217 961.8992 0.161346517 0.1611790099 8 972 1.971248 958.0265 1.979217 961.8992 0.658534371 0.6593588094 9 972 1.998052 971.0533 2.006296 975.0600 0.996168279 0.9961868652 10 972 1.998052 971.0533 2.006296 975.0600 0.100456145 0.1004006767 11 972 1.998052 971.0533 2.006296 975.0600 0.132238221 0.1321885911 12 972 1.998052 971.0533 2.006296 975.0600 0.536411388 0.5365628027 13 972 1.959372 952.2546 1.967219 956.0685 0.257312505 0.2573224613 14 972 1.959372 952.2546 1.967219 956.0685 0.239771905 0.2397455282 15 972 1.959372 952.2546 1.967219 956.0685 0.364233492 0.3644837593 16 972 1.959372 952.2546 1.967219 956.0685 0.996655774 0.9967237782 [1] "\n=== EFFECT SIZES (GENERALIZED ETA SQUARED) ===" [1] "Generalized Eta Squared:" Effect ges 1 (Intercept) 0.63801 2 temporal_DO 0.00142 3 interval_DO 0.00116 5 TIME 0.00101 9 DOMAIN 0.00079 13 INTERVAL 0.00305 4 temporal_DO:interval_DO 0.00002 6 temporal_DO:TIME 0.00011 7 interval_DO:TIME 0.00003 10 temporal_DO:DOMAIN 0.00017 11 interval_DO:DOMAIN 0.00007 14 temporal_DO:INTERVAL 0.00000 15 interval_DO:INTERVAL 0.00080 17 TIME:DOMAIN 0.00005 21 TIME:INTERVAL 0.00035 25 DOMAIN:INTERVAL 0.00000 8 temporal_DO:interval_DO:TIME 0.00001 12 temporal_DO:interval_DO:DOMAIN 0.00012 16 temporal_DO:interval_DO:INTERVAL 0.00007 18 temporal_DO:TIME:DOMAIN 0.00002 19 interval_DO:TIME:DOMAIN 0.00012 22 temporal_DO:TIME:INTERVAL 0.00015 23 interval_DO:TIME:INTERVAL 0.00029 26 temporal_DO:DOMAIN:INTERVAL 0.00012 27 interval_DO:DOMAIN:INTERVAL 0.00011 29 TIME:DOMAIN:INTERVAL 0.00007 20 temporal_DO:interval_DO:TIME:DOMAIN 0.00003 24 temporal_DO:interval_DO:TIME:INTERVAL 0.00010 28 temporal_DO:interval_DO:DOMAIN:INTERVAL 0.00003 30 temporal_DO:TIME:DOMAIN:INTERVAL 0.00007 31 interval_DO:TIME:DOMAIN:INTERVAL 0.00005 32 temporal_DO:interval_DO:TIME:DOMAIN:INTERVAL 0.00000 [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 3.92 0.118 564 3.69 4.15 Future 3.74 0.118 564 3.51 3.97 Results are averaged over the levels of: temporal_DO, interval_DO, DOMAIN, INTERVAL 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 0.183 0.0645 486 2.842 0.0047 Results are averaged over the levels of: temporal_DO, interval_DO, DOMAIN, INTERVAL [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 3.74 0.117 548 3.52 3.97 Personality 3.94 0.117 548 3.71 4.17 Values 3.81 0.117 548 3.58 4.04 Results are averaged over the levels of: temporal_DO, interval_DO, TIME, INTERVAL 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 -0.1939 0.0492 972 -3.937 0.0003 Preferences - Values -0.0611 0.0492 972 -1.241 0.6450 Personality - Values 0.1328 0.0492 972 2.696 0.0214 Results are averaged over the levels of: temporal_DO, interval_DO, TIME, INTERVAL P value adjustment: bonferroni method for 3 tests [1] "\nMain Effect of INTERVAL:" NOTE: Results may be misleading due to involvement in interactions [1] "Estimated Marginal Means:" INTERVAL emmean SE df lower.CL upper.CL 5 3.67 0.115 520 3.44 3.90 10 3.99 0.115 520 3.76 4.22 Results are averaged over the levels of: temporal_DO, interval_DO, TIME, 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 INTERVAL5 - INTERVAL10 -0.318 0.0423 486 -7.532 <.0001 Results are averaged over the levels of: temporal_DO, interval_DO, TIME, DOMAIN [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 0.217 0.228 486 0.954 0.3407 Results are averaged over the levels of: interval_DO, TIME, DOMAIN, INTERVAL [1] "\nMain Effect of interval_DO:" NOTE: Results may be misleading due to involvement in interactions contrast estimate SE df t.ratio p.value interval_DO5 - interval_DO10 0.196 0.228 486 0.861 0.3897 Results are averaged over the levels of: temporal_DO, TIME, DOMAIN, INTERVAL [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 3.81 0.123 677 3.57 4.05 Future Preferences 3.68 0.123 677 3.44 3.92 Past Personality 4.04 0.123 677 3.80 4.28 Future Personality 3.84 0.123 677 3.59 4.08 Past Values 3.91 0.123 677 3.67 4.16 Future Values 3.70 0.123 677 3.46 3.94 Results are averaged over the levels of: temporal_DO, interval_DO, INTERVAL 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 -0.2318 0.0634 1864 -3.657 0.0008 Preferences - Values -0.1050 0.0634 1864 -1.656 0.2936 Personality - Values 0.1268 0.0634 1864 2.001 0.1367 TIME = Future: contrast estimate SE df t.ratio p.value Preferences - Personality -0.1560 0.0634 1864 -2.461 0.0418 Preferences - Values -0.0172 0.0634 1864 -0.272 1.0000 Personality - Values 0.1388 0.0634 1864 2.189 0.0861 Results are averaged over the levels of: temporal_DO, interval_DO, INTERVAL P value adjustment: bonferroni method for 3 tests [1] "\nSimple Effects of TIME within each DOMAIN:" DOMAIN = Preferences: contrast estimate SE df t.ratio p.value Past - Future 0.129 0.0793 981 1.624 0.1046 DOMAIN = Personality: contrast estimate SE df t.ratio p.value Past - Future 0.205 0.0793 981 2.581 0.0100 DOMAIN = Values: contrast estimate SE df t.ratio p.value Past - Future 0.217 0.0793 981 2.731 0.0064 Results are averaged over the levels of: temporal_DO, interval_DO, INTERVAL [1] "\n=== TIME ├ù INTERVAL INTERACTION ===" NOTE: Results may be misleading due to involvement in interactions [1] "Estimated Marginal Means:" TIME INTERVAL emmean SE df lower.CL upper.CL Past 5 3.71 0.121 636 3.47 3.95 Future 5 3.63 0.121 636 3.39 3.87 Past 10 4.13 0.121 636 3.90 4.37 Future 10 3.84 0.121 636 3.60 4.08 Results are averaged over the levels of: temporal_DO, interval_DO, DOMAIN Warning: EMMs are biased unless design is perfectly balanced Confidence level used: 0.95 [1] "\nSimple Effects of INTERVAL within each TIME:" TIME = Past: contrast estimate SE df t.ratio p.value INTERVAL5 - INTERVAL10 -0.427 0.0591 971 -7.217 <.0001 TIME = Future: contrast estimate SE df t.ratio p.value INTERVAL5 - INTERVAL10 -0.210 0.0591 971 -3.558 0.0004 Results are averaged over the levels of: temporal_DO, interval_DO, DOMAIN [1] "\nSimple Effects of TIME within each INTERVAL:" INTERVAL = 5: contrast estimate SE df t.ratio p.value Past - Future 0.0751 0.0766 827 0.981 0.3271 INTERVAL = 10: contrast estimate SE df t.ratio p.value Past - Future 0.2914 0.0766 827 3.805 0.0002 Results are averaged over the levels of: temporal_DO, interval_DO, DOMAIN [1] "\n=== DOMAIN ├ù INTERVAL INTERACTION ===" NOTE: Results may be misleading due to involvement in interactions [1] "Estimated Marginal Means:" DOMAIN INTERVAL emmean SE df lower.CL upper.CL Preferences 5 3.58 0.12 620 3.35 3.82 Personality 5 3.78 0.12 620 3.54 4.02 Values 5 3.65 0.12 620 3.41 3.88 Preferences 10 3.90 0.12 620 3.67 4.14 Personality 10 4.10 0.12 620 3.86 4.33 Values 10 3.97 0.12 620 3.73 4.20 Results are averaged over the levels of: temporal_DO, interval_DO, TIME Warning: EMMs are biased unless design is perfectly balanced Confidence level used: 0.95 [1] "\nSimple Effects of INTERVAL within each DOMAIN:" DOMAIN = Preferences: contrast estimate SE df t.ratio p.value INTERVAL5 - INTERVAL10 -0.320 0.0594 1284 -5.393 <.0001 DOMAIN = Personality: contrast estimate SE df t.ratio p.value INTERVAL5 - INTERVAL10 -0.315 0.0594 1284 -5.299 <.0001 DOMAIN = Values: contrast estimate SE df t.ratio p.value INTERVAL5 - INTERVAL10 -0.320 0.0594 1284 -5.390 <.0001 Results are averaged over the levels of: temporal_DO, interval_DO, TIME [1] "\nSimple Effects of DOMAIN within each INTERVAL:" INTERVAL = 5: contrast estimate SE df t.ratio p.value Preferences - Personality -0.1967 0.0611 1784 -3.219 0.0039 Preferences - Values -0.0612 0.0611 1784 -1.002 0.9501 Personality - Values 0.1355 0.0611 1784 2.218 0.0801 INTERVAL = 10: contrast estimate SE df t.ratio p.value Preferences - Personality -0.1911 0.0611 1784 -3.129 0.0054 Preferences - Values -0.0610 0.0611 1784 -0.999 0.9537 Personality - Values 0.1301 0.0611 1784 2.130 0.1000 Results are averaged over the levels of: temporal_DO, interval_DO, TIME P value adjustment: bonferroni method for 3 tests [1] "\n=== temporal_DO ├ù interval_DO INTERACTION ===" NOTE: Results may be misleading due to involvement in interactions [1] "Estimated Marginal Means:" temporal_DO interval_DO emmean SE df lower.CL upper.CL 01PAST 5 4.02 0.229 486 3.57 4.47 02FUT 5 3.83 0.219 486 3.40 4.26 01PAST 10 3.85 0.226 486 3.41 4.30 02FUT 10 3.61 0.235 486 3.15 4.07 Results are averaged over the levels of: TIME, DOMAIN, INTERVAL Warning: EMMs are biased unless design is perfectly balanced Confidence level used: 0.95 [1] "\nSimple Effects of interval_DO within each temporal_DO:" temporal_DO = 01PAST: contrast estimate SE df t.ratio p.value interval_DO5 - interval_DO10 0.170 0.322 486 0.529 0.5967 temporal_DO = 02FUT: contrast estimate SE df t.ratio p.value interval_DO5 - interval_DO10 0.222 0.322 486 0.688 0.4918 Results are averaged over the levels of: TIME, DOMAIN, INTERVAL [1] "\nSimple Effects of temporal_DO within each interval_DO:" interval_DO = 5: contrast estimate SE df t.ratio p.value 01PAST - 02FUT 0.191 0.313 486 0.612 0.5407 interval_DO = 10: contrast estimate SE df t.ratio p.value 01PAST - 02FUT 0.243 0.331 486 0.734 0.4635 Results are averaged over the levels of: TIME, DOMAIN, INTERVAL [1] "\n=== TIME ├ù DOMAIN ├ù INTERVAL INTERACTION ===" NOTE: Results may be misleading due to involvement in interactions [1] "Estimated Marginal Means:" TIME DOMAIN INTERVAL emmean SE df lower.CL upper.CL Past Preferences 5 3.62 0.13 837 3.36 3.87 Future Preferences 5 3.55 0.13 837 3.30 3.81 Past Personality 5 3.84 0.13 837 3.58 4.09 Future Personality 5 3.72 0.13 837 3.47 3.98 Past Values 5 3.67 0.13 837 3.41 3.92 Future Values 5 3.62 0.13 837 3.37 3.88 Past Preferences 10 4.00 0.13 837 3.74 4.26 Future Preferences 10 3.81 0.13 837 3.55 4.07 Past Personality 10 4.24 0.13 837 3.99 4.50 Future Personality 10 3.95 0.13 837 3.69 4.20 Past Values 10 4.16 0.13 837 3.91 4.42 Future Values 10 3.77 0.13 837 3.52 4.03 Results are averaged over the levels of: temporal_DO, interval_DO Warning: EMMs are biased unless design is perfectly balanced Confidence level used: 0.95 [1] "\nSimple Effects of TIME within each DOMAIN ├ù INTERVAL combination:" DOMAIN = Preferences, INTERVAL = 5: contrast estimate SE df t.ratio p.value Past - Future 0.0676 0.0985 1910 0.687 0.4923 DOMAIN = Personality, INTERVAL = 5: contrast estimate SE df t.ratio p.value Past - Future 0.1155 0.0985 1910 1.173 0.2408 DOMAIN = Values, INTERVAL = 5: contrast estimate SE df t.ratio p.value Past - Future 0.0422 0.0985 1910 0.428 0.6684 DOMAIN = Preferences, INTERVAL = 10: contrast estimate SE df t.ratio p.value Past - Future 0.1899 0.0985 1910 1.929 0.0539 DOMAIN = Personality, INTERVAL = 10: contrast estimate SE df t.ratio p.value Past - Future 0.2936 0.0985 1910 2.982 0.0029 DOMAIN = Values, INTERVAL = 10: contrast estimate SE df t.ratio p.value Past - Future 0.3908 0.0985 1910 3.969 0.0001 Results are averaged over the levels of: temporal_DO, interval_DO [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 4.06 0.167 564 3.73 4.39 02FUT Past 3.78 0.167 564 3.46 4.11 01PAST Future 3.82 0.167 564 3.49 4.14 02FUT Future 3.66 0.167 564 3.33 3.99 Results are averaged over the levels of: interval_DO, DOMAIN, INTERVAL 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 0.243 0.0911 486 2.662 0.0080 temporal_DO = 02FUT: contrast estimate SE df t.ratio p.value Past - Future 0.124 0.0913 486 1.358 0.1751 Results are averaged over the levels of: interval_DO, DOMAIN, INTERVAL [1] "\nSimple Effects of temporal_DO within each TIME:" TIME = Past: contrast estimate SE df t.ratio p.value 01PAST - 02FUT 0.276 0.237 564 1.168 0.2432 TIME = Future: contrast estimate SE df t.ratio p.value 01PAST - 02FUT 0.158 0.237 564 0.667 0.5052 Results are averaged over the levels of: interval_DO, DOMAIN, INTERVAL [1] "\n=== COHEN'S D FOR SIGNIFICANT EFFECTS ===" [1] "Cohen's d for significant main effects:" [1] "Significant pairwise comparisons (p < 0.05):" contrast estimate SE df t.ratio p.value Past - Future 0.1832725 0.06449356 486 2.842 0.0047 Results are averaged over the levels of: temporal_DO, interval_DO, DOMAIN, INTERVAL [1] "Cohen's d results:" Comparison n1 n2 Cohens_d Effect_size p_value 1 Past - Future 2940 2940 0.06345 negligible 0.00468 [1] "Significant pairwise comparisons (p < 0.05):" contrast estimate SE df t.ratio p.value Preferences - Personality -0.1938912 0.04924868 972 -3.937 0.0003 Personality - Values 0.1327871 0.04924868 972 2.696 0.0214 Results are averaged over the levels of: temporal_DO, interval_DO, TIME, INTERVAL P value adjustment: bonferroni method for 3 tests [1] "Cohen's d results:" Comparison n1 n2 Cohens_d Effect_size p_value 1 Preferences - Personality 1960 1960 -0.06912 negligible 0.00027 2 Personality - Values 1960 1960 0.04940 negligible 0.02140 [1] "Significant pairwise comparisons (p < 0.05):" contrast estimate SE df t.ratio p.value INTERVAL5 - INTERVAL10 -0.3184787 0.04228491 486 -7.532 <.0001 Results are averaged over the levels of: temporal_DO, interval_DO, TIME, DOMAIN [1] "\nCohen's d for significant two-way interactions:" [1] "Significant pairwise comparisons (p < 0.05):" contrast TIME estimate SE df t.ratio p.value Preferences - Personality Past -0.2317898 0.06338469 1863.83 -3.657 0.0008 Preferences - Personality Future -0.1559925 0.06338469 1863.83 -2.461 0.0418 Results are averaged over the levels of: temporal_DO, interval_DO, INTERVAL P value adjustment: bonferroni method for 3 tests [1] "Cohen's d results:" Comparison n1 n2 Cohens_d Effect_size p_value Group_level 1 Preferences - Personality 980 980 -0.08001 negligible 0.00079 Past 2 Preferences - Personality 980 980 -0.05826 negligible 0.04183 Future [1] "Significant pairwise comparisons (p < 0.05):" contrast DOMAIN estimate SE df t.ratio p.value Past - Future Personality 0.2045570 0.07926118 980.93 2.581 0.0100 Past - Future Values 0.2165009 0.07926118 980.93 2.731 0.0064 Results are averaged over the levels of: temporal_DO, interval_DO, INTERVAL [1] "Cohen's d results:" Comparison n1 n2 Cohens_d Effect_size p_value Group_level 1 Past - Future 980 980 0.06868 negligible 0.01000 Personality 2 Past - Future 980 980 0.07477 negligible 0.00642 Values [1] "\nCohen's d for significant three-way interaction effects:" [1] "Three-way interaction Cohen's d results:" DOMAIN INTERVAL Comparison n_Past n_Future Cohens_d Effect_size 1 Personality 10 Past vs Future 490 490 0.10254 negligible 2 Values 10 Past vs Future 490 490 0.13925 negligible p_value Estimated_difference 1 0.00290 0.29359 2 0.00007 0.39082 [1] "=== ANALYSIS COMPLETE ==="