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eohi/.history/eohi1/readme_domain_mixed_anova_20251002121520.txt
Irina Levit f8eb3da04d Initial commit
2025-12-23 15:47:09 -05:00

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Rscript : ΓöÇΓöÇ Attaching core tidyverse packages
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tidyverse 2.0.0 ΓöÇΓöÇ
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+ Rscript "mixed anova - domain means.r" *> "readme_domain_mixed_anova. ...
+ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+ CategoryInfo : NotSpecified: (ΓöÇΓöÇ Attachin...se 2.0.0 ΓöÇΓöÇ
:String) [], RemoteException
+ FullyQualifiedErrorId : NativeCommandError
Γ£ö dplyr 1.1.4 Γ£ö readr 2.1.5
Γ£ö forcats 1.0.0 Γ£ö stringr 1.5.1
Γ£ö ggplot2 3.5.1 Γ£ö tibble 3.2.1
Γ£ö lubridate 1.9.3 Γ£ö tidyr 1.3.1
Γ£ö purrr 1.0.2
ΓöÇΓöÇ Conflicts ΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓö
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tidyverse_conflicts() ΓöÇΓöÇ
Γ£û dplyr::filter() masks stats::filter()
Γ£û dplyr::lag() masks stats::lag()
ℹ 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 × 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 × 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 × 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 × 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
# ℹ 1 more variable: n_outliers <int>
[1] "Anderson-Darling normality test results:"
# A tibble: 8 × 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 × 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 × 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 × DOMAIN combination ==="
# A tibble: 8 × 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 × 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 × 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 × 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 × 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 × 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 × 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 × 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 × 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 × 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
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