Rscript : ΓöÇΓöÇ Attaching core tidyverse packages 
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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     
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tidyverse_conflicts() ΓöÇΓöÇ
Γ£û dplyr::filter() masks stats::filter()
Γ£û dplyr::lag()    masks stats::lag()
Γä╣ Use the conflicted package (<http://conflicted.r-lib.org/>) 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
  <fct>  <fct>       <int> <dbl>    <dbl> <dbl>  <dbl> <dbl> <dbl> <dbl> <dbl>
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
   <fct>       <fct>  <fct>       <int> <dbl>    <dbl> <dbl>
 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
  <fct>  <fct>         <int>     <int>       <dbl>
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
  <fct>  <fct>       <int> <dbl> <dbl> <dbl> <dbl> <dbl>       <dbl>       <dbl>
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 <int>
[1] "Anderson-Darling normality test results:"
# A tibble: 8 ├ù 5
  TIME   DOMAIN          n ad_statistic ad_p_value
  <fct>  <fct>       <dbl>        <dbl>      <dbl>
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
  <fct>          <dbl>    <dbl>
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
  <fct>     <dbl>    <dbl>
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
  <fct>  <fct>          <dbl>   <dbl>       <dbl>
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
  <fct>  <fct>                <dbl>       <dbl> <lgl>      
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

