Rscript : ΓöÇΓöÇ Attaching core tidyverse packages 
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tidyverse 2.0.0 ΓöÇΓöÇ
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+ ... OHI\eohi2"; Rscript "mixed anova - DGEN.r" > "results exp2 - mixed an ...
+                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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   :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
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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: 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
   <fct>  <fct>     <fct>    <int> <dbl>    <dbl> <dbl>  <dbl> <dbl> <dbl> <dbl>
 1 Past   PreferenΓÇª 5          490  3.62     8.14  2.85    3       1     6     0
 2 Past   PreferenΓÇª 10         490  4.00     8.41  2.90    4       1     6     0
 3 Past   PersonalΓÇª 5          490  3.84     7.76  2.79    4       1     6     0
 4 Past   PersonalΓÇª 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 PreferenΓÇª 5          490  3.56     8.37  2.89    3       1     6     0
 8 Future PreferenΓÇª 10         490  3.8      8.06  2.84    3       1     6     0
 9 Future PersonalΓÇª 5          490  3.74     8.40  2.90    3       1     6     0
10 Future PersonalΓÇª 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 <dbl>
[1] "Descriptive statistics by between-subjects factors:"
# A tibble: 48 ├ù 9
   temporal_DO interval_DO TIME   DOMAIN     INTERVAL     n  mean variance    sd
   <fct>       <fct>       <fct>  <fct>      <fct>    <int> <dbl>    <dbl> <dbl>
 1 01PAST      5           Past   PreferencΓÇª 5          118  3.75     8.29  2.88
 2 01PAST      5           Past   PreferencΓÇª 10         118  4.18     9.09  3.01
 3 01PAST      5           Past   PersonaliΓÇª 5          118  4.04     8.13  2.85
 4 01PAST      5           Past   PersonaliΓÇª 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 PreferencΓÇª 5          118  3.78     8.57  2.93
 8 01PAST      5           Future PreferencΓÇª 10         118  3.83     7.87  2.81
 9 01PAST      5           Future PersonaliΓÇª 5          118  4.13     8.47  2.91
10 01PAST      5           Future PersonaliΓÇª 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
  <fct>       <fct>    <int>     <dbl>   <dbl>   <dbl>
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
  <fct>  <fct>       <int>     <dbl>   <dbl>   <dbl>
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
   <fct>  <fct>       <fct>      <int>     <int>       <dbl>
 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
   <fct>  <fct>       <fct>    <int> <dbl> <dbl> <dbl> <dbl> <dbl>       <dbl>
 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 <dbl>, n_outliers <int>
[1] "Anderson-Darling normality test results:"
# A tibble: 12 ├ù 6
   TIME   DOMAIN      INTERVAL     n ad_statistic ad_p_value
   <fct>  <fct>       <fct>    <dbl>        <dbl>      <dbl>
 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
  <fct>       <fct>       <dbl>    <dbl>
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
  <fct>  <fct>       <dbl>    <dbl>
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
  <fct>  <fct>          <dbl>    <dbl>
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
   <fct>  <fct>       <fct>             <dbl>       <dbl> <lgl>      
 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
   <fct>  <fct>       <fct>             <dbl>       <dbl> <lgl>      
 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
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   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 ==="
