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Rscript : ΓöÇΓöÇ Attaching core tidyverse packages
ΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇ tidyverse 2.0.0 ΓöÇΓöÇ
At C:\Users\irina\AppData\Local\Temp\ps-script-1e88d1ff-8e66-4d9a-90cf-0f9caea5137a.ps1:7 char:47
+ ... OHI\eohi1"; Rscript "mixed anova - DGEN.r" > "results - exp1 - mixed ...
+ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+ CategoryInfo : NotSpecified: (ΓöÇΓöÇ Attachin...se 2.0.0 ΓöÇΓöÇ:String) [], RemoteException
+ FullyQualifiedErrorId : NativeCommandError
Γ£ö dplyr 1.1.4 Γ£ö readr 2.1.5
Γ£ö forcats 1.0.0 Γ£ö stringr 1.5.1
Γ£ö ggplot2 3.5.1 Γ£ö tibble 3.2.1
Γ£ö lubridate 1.9.3 Γ£ö tidyr 1.3.1
Γ£ö purrr 1.0.2
ΓöÇΓöÇ Conflicts ΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇ
ΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇ tidyverse_conflicts() ΓöÇΓöÇ
Γ£û dplyr::filter() masks stats::filter()
Γ£û dplyr::lag() masks stats::lag()
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 DGEN 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
1 Past Preferences 1063 4.45 8.17 2.86 5 2 7 0 10
2 Past Personality 1063 4.67 8.12 2.85 5 2 7 0 10
3 Past Values 1063 4.41 8.50 2.91 4 2 7 0 10
4 Past Life 1063 5.46 8.02 2.83 6 3 8 0 10
5 Future Preferences 1063 4.14 7.97 2.82 4 2 6 0 10
6 Future Personality 1063 4.23 7.92 2.81 4 2 6 0 10
7 Future Values 1063 3.92 7.94 2.82 3 2 6 0 10
8 Future Life 1063 5.05 8.11 2.85 5 3 7 0 10
[1] "Descriptive statistics by TEMPORAL_DO, TIME, and DOMAIN:"
# A tibble: 16 × 7
TEMPORAL_DO TIME DOMAIN n mean variance sd
1 01PAST Past Preferences 536 4.52 8.58 2.93
2 01PAST Past Personality 536 4.79 8.18 2.86
3 01PAST Past Values 536 4.49 8.35 2.89
4 01PAST Past Life 536 5.73 7.71 2.78
5 01PAST Future Preferences 536 4.16 8.16 2.86
6 01PAST Future Personality 536 4.32 8.00 2.83
7 01PAST Future Values 536 4.01 8.04 2.84
8 01PAST Future Life 536 5.20 8.21 2.87
9 02FUT Past Preferences 527 4.39 7.76 2.79
10 02FUT Past Personality 527 4.55 8.04 2.84
11 02FUT Past Values 527 4.34 8.65 2.94
12 02FUT Past Life 527 5.19 8.20 2.86
13 02FUT Future Preferences 527 4.13 7.79 2.79
14 02FUT Future Personality 527 4.14 7.83 2.80
15 02FUT Future Values 527 3.83 7.84 2.80
16 02FUT Future Life 527 4.90 7.97 2.82
[1] "Data after removing missing values: 8504 x6"
[1] "Missing values by TIME and DOMAIN:"
# A tibble: 8 × 5
TIME DOMAIN n_total n_missing pct_missing
1 Past Preferences 1063 0 0
2 Past Personality 1063 0 0
3 Past Values 1063 0 0
4 Past Life 1063 0 0
5 Future Preferences 1063 0 0
6 Future Personality 1063 0 0
7 Future Values 1063 0 0
8 Future Life 1063 0 0
[1] "Outlier summary (IQR method):"
# A tibble: 8 × 11
TIME DOMAIN n mean sd q1 q3 iqr lower_bound upper_bound
1 Past Preferences 1063 4.45 2.86 2 7 5 -5.5 14.5
2 Past Personality 1063 4.67 2.85 2 7 5 -5.5 14.5
3 Past Values 1063 4.41 2.91 2 7 5 -5.5 14.5
4 Past Life 1063 5.46 2.83 3 8 5 -4.5 15.5
5 Future Preferences 1063 4.14 2.82 2 6 4 -4 12
6 Future Personality 1063 4.23 2.81 2 6 4 -4 12
7 Future Values 1063 3.92 2.82 2 6 4 -4 12
8 Future Life 1063 5.05 2.85 3 7 4 -3 13
# ℹ 1 more variable: n_outliers
[1] "Anderson-Darling normality test results:"
# A tibble: 8 × 5
TIME DOMAIN n ad_statistic ad_p_value
1 Past Preferences 1063 13.8 0
2 Past Personality 1063 13.6 0
3 Past Values 1063 16.3 0
4 Past Life 1063 13.0 0
5 Future Preferences 1063 17.4 0
6 Future Personality 1063 16.9 0
7 Future Values 1063 21.7 0
8 Future Life 1063 12.1 0
[1] "Homogeneity of variance across TIME within each DOMAIN:"
# A tibble: 4 × 3
DOMAIN levene_F levene_p
1 Preferences 0.115 0.735
2 Personality 0.0390 0.843
3 Values 1.50 0.221
4 Life 0.453 0.501
[1] "Homogeneity of variance across DOMAIN within each TIME:"
# A tibble: 2 × 3
TIME levene_F levene_p
1 Past 1.43 0.233
2 Future 0.818 0.484
[1] "=== CHECKING TEMPORAL_DO VALUES ==="
[1] "Unique TEMPORAL_DO values:"
[1] 01PAST 02FUT
Levels: 01PAST 02FUT
[1] "TEMPORAL_DO value counts:"
01PAST 02FUT
4288 4216
[1] "\n=== OBSERVED F-MAX RATIOS: TEMPORAL_DO within each TIME × DOMAIN combination ==="
# A tibble: 8 × 5
TIME DOMAIN past_var fut_var f_max_ratio
1 Past Preferences 8.58 7.76 1.11
2 Past Personality 8.18 8.04 1.02
3 Past Values 8.35 8.65 1.04
4 Past Life 7.71 8.20 1.06
5 Future Preferences 8.16 7.79 1.05
6 Future Personality 8.00 7.83 1.02
7 Future Values 8.04 7.84 1.03
8 Future Life 8.21 7.97 1.03
[1] "\n=== HARTLEY'S F-MAX TEST RESULTS ==="
# A tibble: 8 × 5
TIME DOMAIN observed_ratio critical_95 significant
1 Past Preferences 1.11 1.23 FALSE
2 Past Personality 1.02 1.12 FALSE
3 Past Values 1.04 1.14 FALSE
4 Past Life 1.06 1.18 FALSE
5 Future Preferences 1.05 1.17 FALSE
6 Future Personality 1.02 1.15 FALSE
7 Future Values 1.03 1.15 FALSE
8 Future Life 1.03 1.15 FALSE
[1] "Data size for ANOVA: 8504 rows"
[1] "Number of participants: 1063"
[1] "Design factors: TIME (2), DOMAIN (4), TEMPORAL_DO (2)"
[1] "Complete cases: 8504 out of 8504"
[1] "Design is balanced: each participant has data for all TIME × DOMAIN combinations"
[1] "\n=== MIXED ANOVA RESULTS (with sphericity corrections) ==="
Warning: Data is unbalanced (unequal N per group). Make sure you specified a well-considered value for the type
argument to ezANOVA().
[1] "ANOVA Results:"
Effect DFn DFd SSn SSd F
1 (Intercept) 1 1061 175403.313893 45334.099 4105.1420831
2 TEMPORAL_DO 1 1061 104.781437 45334.099 2.4523065
3 TIME 1 1061 363.139680 5710.697 67.4683362
4 DOMAIN 3 3183 1524.702983 10462.463 154.6203659
5 TEMPORAL_DO:TIME 1 1061 4.340056 5710.697 0.8063464
6 TEMPORAL_DO:DOMAIN 3 3183 33.288120 10462.463 3.3757534
7 TIME:DOMAIN 3 3183 9.191110 7100.516 1.3733886
8 TEMPORAL_DO:TIME:DOMAIN 3 3183 4.974741 7100.516 0.7433545
p
1 0.00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000
2 0.11765050104906209227362268165961722843348979949951171875000000000000000000000000000000000000000000
3 0.00000000000000061782799119098067114168315594469049756298772990703582763671875000000000000000000000
4 0.00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000150209
5 0.36940636618506739186074128156178630888462066650390625000000000000000000000000000000000000000000000
6 0.01763146579785550976948726997761696111410856246948242187500000000000000000000000000000000000000000
7 0.24898565439172731794670312410744372755289077758789062500000000000000000000000000000000000000000000
8 0.52613525007520434151331301109166815876960754394531250000000000000000000000000000000000000000000000
p<.05 ges
1 * 0.71883337333
2 0.00152492417
3 * 0.00526511333
4 * 0.02174032681
5 0.00006325496
6 * 0.00048495927
7 0.00013394807
8 0.00007250462
[1] "\nMauchly's Test of Sphericity:"
Effect W p
5 DOMAIN 0.8712463 0.000000000000000000000000000009197155
6 TEMPORAL_DO:DOMAIN 0.8712463 0.000000000000000000000000000009197155
7 TIME:DOMAIN 0.9366421 0.000000000000139056847839002402420980
8 TEMPORAL_DO:TIME:DOMAIN 0.9366421 0.000000000000139056847839002402420980
p<.05
5 *
6 *
7 *
8 *
[1] "\nGreenhouse-Geisser and Huynh-Feldt Corrections:"
**Effect GGe**
5 DOMAIN 0.9120175
6 TEMPORAL_DO:DOMAIN 0.9120175
7 TIME:DOMAIN 0.9556034
8 TEMPORAL_DO:TIME:DOMAIN 0.9556034
p[GG]
5 0.0000000000000000000000000000000000000000000000000000000000000000000000000000000000001345237
6 0.0210110642827151770928306717678424320183694362640380859375000000000000000000000000000000000
7 0.2499237624236494703655608873305027373135089874267578125000000000000000000000000000000000000
8 0.5204622528563578320870419702259823679924011230468750000000000000000000000000000000000000000
p[GG]<.05 HFe
5 * 0.9146073
6 * 0.9146073
7 0.9584655
8 0.9584655
p[HF]
5 0.00000000000000000000000000000000000000000000000000000000000000000000000000000000000007847038
6 0.02090266902721321304325918788435956230387091636657714843750000000000000000000000000000000000
7 0.24986536855461360939756332300021313130855560302734375000000000000000000000000000000000000000
8 0.52083559605373963563579309266060590744018554687500000000000000000000000000000000000000000000
p[HF]<.05
5 *
6 *
7
8
=== CORRECTED DEGREES OF FREEDOM ===
**Effect Original\_DFn Original\_DFd GG\_DFn GG\_DFd HF\_DFn**
1 DOMAIN 3 3183 2.736053 2902.952 2.743822
2 TEMPORAL_DO:DOMAIN 3 3183 2.736053 2902.952 2.743822
3 TIME:DOMAIN 3 3183 2.866810 3041.686 2.875396
4 TEMPORAL_DO:TIME:DOMAIN 3 3183 2.866810 3041.686 2.875396
**HF\_DFd GG\_epsilon HF\_epsilon**
1 2911.195 0.9120175 0.9146073
2 2911.195 0.9120175 0.9146073
3 3050.796 0.9556034 0.9584655
4 3050.796 0.9556034 0.9584655
=== CORRECTED F-TESTS ===
DOMAIN:
Original: F(3, 3183) = 154.620
GG-corrected: F(2.74, 2902.95) = 154.620, p = 0.000000
HF-corrected: F(2.74, 2911.20) = 154.620, p = 0.000000
TEMPORAL_DO:DOMAIN:
Original: F(3, 3183) = 3.376
GG-corrected: F(2.74, 2902.95) = 3.376, p = 0.021011
HF-corrected: F(2.74, 2911.20) = 3.376, p = 0.020903
TIME:DOMAIN:
Original: F(3, 3183) = 1.373
GG-corrected: F(2.87, 3041.69) = 1.373, p = 0.249924
HF-corrected: F(2.88, 3050.80) = 1.373, p = 0.249865
TEMPORAL_DO:TIME:DOMAIN:
Original: F(3, 3183) = 0.743
GG-corrected: F(2.87, 3041.69) = 0.743, p = 0.520462
HF-corrected: F(2.88, 3050.80) = 0.743, p = 0.520836
[1] "\n=== EFFECT SIZES (GENERALIZED ETA SQUARED) ==="
[1] "Generalized Eta Squared:"
Effect ges
1 (Intercept) 0.71883
2 TEMPORAL_DO 0.00152
3 TIME 0.00527
5 DOMAIN 0.02174
4 TEMPORAL_DO:TIME 0.00006
6 TEMPORAL_DO:DOMAIN 0.00048
7 TIME:DOMAIN 0.00013
8 TEMPORAL_DO:TIME:DOMAIN 0.00007
[1] "\n=== POST-HOC COMPARISONS ==="
[1] "Main Effect of TIME:"
NOTE: Results may be misleading due to involvement in interactions
[1] "Estimated Marginal Means:"
TIME emmean SE df lower.CL upper.CL
Past 4.75 0.0752 1324 4.60 4.90
Future 4.34 0.0752 1324 4.19 4.48
Results are averaged over the levels of: TEMPORAL_DO, DOMAIN
Warning: EMMs are biased unless design is perfectly balanced
Confidence level used: 0.95
[1] "\nPairwise Contrasts:"
contrast estimate SE df t.ratio p.value
Past - Future 0.413 0.0503 1061 8.214 <.0001
Results are averaged over the levels of: TEMPORAL_DO, DOMAIN
[1] "\nMain Effect of DOMAIN:"
NOTE: Results may be misleading due to involvement in interactions
[1] "Estimated Marginal Means:"
DOMAIN emmean SE df lower.CL upper.CL
Preferences 4.30 0.0786 1579 4.14 4.45
Personality 4.45 0.0786 1579 4.30 4.61
Values 4.17 0.0786 1579 4.01 4.32
Life 5.26 0.0786 1579 5.10 5.41
Results are averaged over the levels of: TEMPORAL_DO, TIME
Warning: EMMs are biased unless design is perfectly balanced
Confidence level used: 0.95
[1] "\nPairwise Contrasts:"
contrast estimate SE df t.ratio p.value
Preferences - Personality -0.153 0.0556 3183 -2.747 0.0362
Preferences - Values 0.132 0.0556 3183 2.375 0.1057
Preferences - Life -0.957 0.0556 3183 -17.204 <.0001
Personality - Values 0.285 0.0556 3183 5.122 <.0001
Personality - Life -0.804 0.0556 3183 -14.456 <.0001
Values - Life -1.089 0.0556 3183 -19.579 <.0001
Results are averaged over the levels of: TEMPORAL_DO, TIME
P value adjustment: bonferroni method for 6 tests
[1] "\nMain Effect of TEMPORAL_DO:"
NOTE: Results may be misleading due to involvement in interactions
contrast estimate SE df t.ratio p.value
01PAST - 02FUT 0.222 0.142 1061 1.566 0.1177
Results are averaged over the levels of: TIME, DOMAIN
[1] "\n=== TEMPORAL_DO × TIME INTERACTION ==="
NOTE: Results may be misleading due to involvement in interactions
[1] "Estimated Marginal Means:"
TEMPORAL_DO TIME emmean SE df lower.CL upper.CL
01PAST Past 4.88 0.106 1322 4.67 5.09
02FUT Past 4.62 0.106 1326 4.41 4.82
01PAST Future 4.42 0.106 1322 4.22 4.63
02FUT Future 4.25 0.106 1326 4.04 4.46
Results are averaged over the levels of: DOMAIN
Warning: EMMs are biased unless design is perfectly balanced
Confidence level used: 0.95
[1] "\nSimple Effects of TIME within each TEMPORAL_DO:"
TEMPORAL_DO = 01PAST:
contrast estimate SE df t.ratio p.value
Past - Future 0.458 0.0709 1061 6.471 <.0001
TEMPORAL_DO = 02FUT:
contrast estimate SE df t.ratio p.value
Past - Future 0.368 0.0715 1061 5.151 <.0001
Results are averaged over the levels of: DOMAIN
[1] "\nSimple Effects of TEMPORAL_DO within each TIME:"
TIME = Past:
contrast estimate SE df t.ratio p.value
01PAST - 02FUT 0.267 0.15 1324 1.776 0.0759
TIME = Future:
contrast estimate SE df t.ratio p.value
01PAST - 02FUT 0.177 0.15 1324 1.175 0.2400
Results are averaged over the levels of: DOMAIN
[1] "\n=== TIME × DOMAIN INTERACTION ==="
NOTE: Results may be misleading due to involvement in interactions
[1] "Estimated Marginal Means:"
TIME DOMAIN emmean SE df lower.CL upper.CL
Past Preferences 4.45 0.0872 2333 4.28 4.62
Future Preferences 4.14 0.0872 2333 3.97 4.31
Past Personality 4.67 0.0872 2333 4.50 4.84
Future Personality 4.23 0.0872 2333 4.06 4.40
Past Values 4.41 0.0872 2333 4.24 4.58
Future Values 3.92 0.0872 2333 3.75 4.09
Past Life 5.46 0.0872 2333 5.29 5.63
Future Life 5.05 0.0872 2333 4.88 5.22
Results are averaged over the levels of: TEMPORAL_DO
Warning: EMMs are biased unless design is perfectly balanced
Confidence level used: 0.95
[1] "\nSimple Effects of DOMAIN within each TIME:"
TIME = Past:
contrast estimate SE df t.ratio p.value
Preferences - Personality -0.2187 0.072 6141 -3.036 0.0145
Preferences - Values 0.0424 0.072 6141 0.588 1.0000
Preferences - Life -1.0058 0.072 6141 -13.960 <.0001
Personality - Values 0.2611 0.072 6141 3.624 0.0018
Personality - Life -0.7871 0.072 6141 -10.924 <.0001
Values - Life -1.0482 0.072 6141 -14.549 <.0001
TIME = Future:
contrast estimate SE df t.ratio p.value
Preferences - Personality -0.0868 0.072 6141 -1.205 1.0000
Preferences - Values 0.2217 0.072 6141 3.078 0.0126
Preferences - Life -0.9076 0.072 6141 -12.597 <.0001
Personality - Values 0.3086 0.072 6141 4.283 0.0001
Personality - Life -0.8207 0.072 6141 -11.391 <.0001
Values - Life -1.1293 0.072 6141 -15.674 <.0001
Results are averaged over the levels of: TEMPORAL_DO
P value adjustment: bonferroni method for 6 tests
[1] "\nSimple Effects of TIME within each DOMAIN:"
DOMAIN = Preferences:
contrast estimate SE df t.ratio p.value
Past - Future 0.311 0.0754 3524 4.126 <.0001
DOMAIN = Personality:
contrast estimate SE df t.ratio p.value
Past - Future 0.443 0.0754 3524 5.875 <.0001
DOMAIN = Values:
contrast estimate SE df t.ratio p.value
Past - Future 0.490 0.0754 3524 6.506 <.0001
DOMAIN = Life:
contrast estimate SE df t.ratio p.value
Past - Future 0.409 0.0754 3524 5.429 <.0001
Results are averaged over the levels of: TEMPORAL_DO
[1] "\n=== TEMPORAL_DO × DOMAIN INTERACTION ==="
NOTE: Results may be misleading due to involvement in interactions
[1] "Estimated Marginal Means:"
TEMPORAL_DO DOMAIN emmean SE df lower.CL upper.CL
01PAST Preferences 4.34 0.111 1575 4.12 4.56
02FUT Preferences 4.26 0.111 1584 4.04 4.48
01PAST Personality 4.56 0.111 1575 4.34 4.78
02FUT Personality 4.34 0.111 1584 4.13 4.56
01PAST Values 4.25 0.111 1575 4.03 4.47
02FUT Values 4.08 0.111 1584 3.86 4.30
01PAST Life 5.47 0.111 1575 5.25 5.68
02FUT Life 5.04 0.111 1584 4.83 5.26
Results are averaged over the levels of: TIME
Warning: EMMs are biased unless design is perfectly balanced
Confidence level used: 0.95
[1] "\nSimple Effects of DOMAIN within each TEMPORAL_DO:"
TEMPORAL_DO = 01PAST:
contrast estimate SE df t.ratio p.value
Preferences - Personality -0.2183 0.0783 3183 -2.787 0.0321
Preferences - Values 0.0886 0.0783 3183 1.132 1.0000
Preferences - Life -1.1269 0.0783 3183 -14.390 <.0001
Personality - Values 0.3069 0.0783 3183 3.919 0.0005
Personality - Life -0.9086 0.0783 3183 -11.602 <.0001
Values - Life -1.2155 0.0783 3183 -15.521 <.0001
TEMPORAL_DO = 02FUT:
contrast estimate SE df t.ratio p.value
Preferences - Personality -0.0873 0.0790 3183 -1.105 1.0000
Preferences - Values 0.1755 0.0790 3183 2.222 0.1579
Preferences - Life -0.7865 0.0790 3183 -9.959 <.0001
Personality - Values 0.2628 0.0790 3183 3.328 0.0053
Personality - Life -0.6992 0.0790 3183 -8.854 <.0001
Values - Life -0.9620 0.0790 3183 -12.182 <.0001
Results are averaged over the levels of: TIME
P value adjustment: bonferroni method for 6 tests
[1] "\nSimple Effects of TEMPORAL_DO within each DOMAIN:"
DOMAIN = Preferences:
contrast estimate SE df t.ratio p.value
01PAST - 02FUT 0.0825 0.157 1579 0.524 0.6002
DOMAIN = Personality:
contrast estimate SE df t.ratio p.value
01PAST - 02FUT 0.2134 0.157 1579 1.357 0.1749
DOMAIN = Values:
contrast estimate SE df t.ratio p.value
01PAST - 02FUT 0.1694 0.157 1579 1.077 0.2818
DOMAIN = Life:
contrast estimate SE df t.ratio p.value
01PAST - 02FUT 0.4228 0.157 1579 2.688 0.0073
Results are averaged over the levels of: TIME
[1] "\n=== THREE-WAY INTERACTION ANALYSIS ==="
[1] "Estimated Marginal Means:"
TEMPORAL_DO TIME DOMAIN emmean SE df lower.CL upper.CL
01PAST Past Preferences 4.52 0.123 2321 4.28 4.76
02FUT Past Preferences 4.39 0.123 2344 4.14 4.63
01PAST Future Preferences 4.16 0.123 2321 3.92 4.40
02FUT Future Preferences 4.13 0.123 2344 3.89 4.37
01PAST Past Personality 4.80 0.123 2321 4.55 5.04
02FUT Past Personality 4.55 0.123 2344 4.31 4.79
01PAST Future Personality 4.32 0.123 2321 4.08 4.56
02FUT Future Personality 4.14 0.123 2344 3.90 4.38
01PAST Past Values 4.49 0.123 2321 4.24 4.73
02FUT Past Values 4.34 0.123 2344 4.09 4.58
01PAST Future Values 4.02 0.123 2321 3.77 4.26
02FUT Future Values 3.83 0.123 2344 3.58 4.07
01PAST Past Life 5.73 0.123 2321 5.49 5.97
02FUT Past Life 5.19 0.123 2344 4.95 5.43
01PAST Future Life 5.20 0.123 2321 4.96 5.45
02FUT Future Life 4.90 0.123 2344 4.65 5.14
Warning: EMMs are biased unless design is perfectly balanced
Confidence level used: 0.95
[1] "\nSimple Effects of TIME within each TEMPORAL_DO × DOMAIN combination:"
TEMPORAL_DO = 01PAST, DOMAIN = Preferences:
contrast estimate SE df t.ratio p.value
Past - Future 0.364 0.106 3524 3.428 0.0006
TEMPORAL_DO = 02FUT, DOMAIN = Preferences:
contrast estimate SE df t.ratio p.value
Past - Future 0.258 0.107 3524 2.411 0.0160
TEMPORAL_DO = 01PAST, DOMAIN = Personality:
contrast estimate SE df t.ratio p.value
Past - Future 0.476 0.106 3524 4.483 <.0001
TEMPORAL_DO = 02FUT, DOMAIN = Personality:
contrast estimate SE df t.ratio p.value
Past - Future 0.410 0.107 3524 3.829 0.0001
TEMPORAL_DO = 01PAST, DOMAIN = Values:
contrast estimate SE df t.ratio p.value
Past - Future 0.470 0.106 3524 4.430 <.0001
TEMPORAL_DO = 02FUT, DOMAIN = Values:
contrast estimate SE df t.ratio p.value
Past - Future 0.510 0.107 3524 4.769 <.0001
TEMPORAL_DO = 01PAST, DOMAIN = Life:
contrast estimate SE df t.ratio p.value
Past - Future 0.524 0.106 3524 4.940 <.0001
TEMPORAL_DO = 02FUT, DOMAIN = Life:
contrast estimate SE df t.ratio p.value
Past - Future 0.294 0.107 3524 2.748 0.0060
[1] "\n=== COHEN'S D FOR SIGNIFICANT TWO-WAY INTERACTIONS ==="
[1] "\n=== COHEN'S D FOR TEMPORAL_DO × TIME INTERACTION ==="
Significant pairwise comparisons (p < 0.05):
contrast TEMPORAL_DO estimate SE df t.ratio p.value
Past - Future 01PAST 0.4584888 0.07085809 1061 6.471 <.0001
Past - Future 02FUT 0.3681214 0.07146058 1061 5.151 <.0001
Results are averaged over the levels of: DOMAIN
Cohen's d calculated from raw data:
Comparison: Past - Future | 01PAST
n1 = 2144, n2 = 2144
Cohen's d: 0.15841
Effect size interpretation: negligible
p-value: 0.00000
Comparison: Past - Future | 02FUT
n1 = 2108, n2 = 2108
Cohen's d: 0.12907
Effect size interpretation: negligible
p-value: 0.00000
No significant pairwise comparisons found.
[1] "\n=== COHEN'S D FOR TIME × DOMAIN INTERACTION ==="
Significant pairwise comparisons (p < 0.05):
contrast DOMAIN estimate SE df t.ratio p.value
Past - Future Preferences 0.3109352 0.07536529 3523.81 4.126 <.0001
Past - Future Personality 0.4428067 0.07536529 3523.81 5.875 <.0001
Past - Future Values 0.4902928 0.07536529 3523.81 6.506 <.0001
Past - Future Life 0.4091857 0.07536529 3523.81 5.429 <.0001
Results are averaged over the levels of: TEMPORAL_DO
Cohen's d calculated from raw data:
Comparison: Past - Future | Preferences
n1 = 1063, n2 = 1063
Cohen's d: 0.10962
Effect size interpretation: negligible
p-value: 0.00004
Comparison: Past - Future | Personality
n1 = 1063, n2 = 1063
Cohen's d: 0.15646
Effect size interpretation: negligible
p-value: 0.00000
Comparison: Past - Future | Values
n1 = 1063, n2 = 1063
Cohen's d: 0.17095
Effect size interpretation: negligible
p-value: 0.00000
Comparison: Past - Future | Life
n1 = 1063, n2 = 1063
Cohen's d: 0.14446
Effect size interpretation: negligible
p-value: 0.00000
Significant pairwise comparisons (p < 0.05):
contrast TIME estimate SE df t.ratio p.value
Preferences - Personality Past -0.2187208 0.07204929 6140.98 -3.036 0.0145
Preferences - Life Past -1.0058218 0.07204929 6140.98 -13.960 <.0001
Personality - Values Past 0.2611126 0.07204929 6140.98 3.624 0.0018
Personality - Life Past -0.7871010 0.07204929 6140.98 -10.924 <.0001
Values - Life Past -1.0482136 0.07204929 6140.98 -14.549 <.0001
Preferences - Values Future 0.2217494 0.07204929 6140.98 3.078 0.0126
Preferences - Life Future -0.9075714 0.07204929 6140.98 -12.597 <.0001
Personality - Values Future 0.3085987 0.07204929 6140.98 4.283 0.0001
Personality - Life Future -0.8207221 0.07204929 6140.98 -11.391 <.0001
Values - Life Future -1.1293208 0.07204929 6140.98 -15.674 <.0001
Results are averaged over the levels of: TEMPORAL_DO
P value adjustment: bonferroni method for 6 tests
Cohen's d calculated from raw data:
Comparison: Preferences - Personality | Past
n1 = 1063, n2 = 1063
Cohen's d: -0.07681
Effect size interpretation: negligible
p-value: 0.01446
Comparison: Preferences - Life | Past
n1 = 1063, n2 = 1063
Cohen's d: -0.35418
Effect size interpretation: small
p-value: 0.00000
Comparison: Personality - Values | Past
n1 = 1063, n2 = 1063
Cohen's d: 0.09073
Effect size interpretation: negligible
p-value: 0.00175
Comparison: Personality - Life | Past
n1 = 1063, n2 = 1063
Cohen's d: -0.27756
Effect size interpretation: small
p-value: 0.00000
Comparison: Values - Life | Past
n1 = 1063, n2 = 1063
Cohen's d: -0.36538
Effect size interpretation: small
p-value: 0.00000
Comparison: Preferences - Values | Future
n1 = 1063, n2 = 1063
Cohen's d: 0.07838
Effect size interpretation: negligible
p-value: 0.01257
Comparison: Preferences - Life | Future
n1 = 1063, n2 = 1063
Cohen's d: -0.32051
Effect size interpretation: small
p-value: 0.00000
Comparison: Personality - Values | Future
n1 = 1063, n2 = 1063
Cohen's d: 0.10956
Effect size interpretation: negligible
p-value: 0.00011
Comparison: Personality - Life | Future
n1 = 1063, n2 = 1063
Cohen's d: -0.29009
Effect size interpretation: small
p-value: 0.00000
Comparison: Values - Life | Future
n1 = 1063, n2 = 1063
Cohen's d: -0.39881
Effect size interpretation: small
p-value: 0.00000
[1] "\n=== COHEN'S D FOR TEMPORAL_DO × DOMAIN INTERACTION ==="
Significant pairwise comparisons (p < 0.05):
contrast DOMAIN estimate SE df t.ratio p.value
01PAST - 02FUT Life 0.4227906 0.1572823 1579.2 2.688 0.0073
Results are averaged over the levels of: TIME
Cohen's d calculated from raw data:
Comparison: 01PAST - 02FUT | Life
n1 = 1072, n2 = 1054
Cohen's d: 0.14893
Effect size interpretation: negligible
p-value: 0.00726
Significant pairwise comparisons (p < 0.05):
contrast TEMPORAL_DO estimate SE df t.ratio
Preferences - Personality 01PAST -0.2182836 0.07830983 3183 -2.787
Preferences - Life 01PAST -1.1268657 0.07830983 3183 -14.390
Personality - Values 01PAST 0.3069030 0.07830983 3183 3.919
Personality - Life 01PAST -0.9085821 0.07830983 3183 -11.602
Values - Life 01PAST -1.2154851 0.07830983 3183 -15.521
Preferences - Life 02FUT -0.7865275 0.07897567 3183 -9.959
Personality - Values 02FUT 0.2628083 0.07897567 3183 3.328
Personality - Life 02FUT -0.6992410 0.07897567 3183 -8.854
Values - Life 02FUT -0.9620493 0.07897567 3183 -12.182
p.value
0.0321
<.0001
0.0005
<.0001
<.0001
<.0001
0.0053
<.0001
<.0001
Results are averaged over the levels of: TIME
P value adjustment: bonferroni method for 6 tests
Cohen's d calculated from raw data:
Comparison: Preferences - Personality | 01PAST
n1 = 1072, n2 = 1072
Cohen's d: -0.07591
Effect size interpretation: negligible
p-value: 0.03207
Comparison: Preferences - Life | 01PAST
n1 = 1072, n2 = 1072
Cohen's d: -0.39333
Effect size interpretation: small
p-value: 0.00000
Comparison: Personality - Values | 01PAST
n1 = 1072, n2 = 1072
Cohen's d: 0.10722
Effect size interpretation: negligible
p-value: 0.00054
Comparison: Personality - Life | 01PAST
n1 = 1072, n2 = 1072
Cohen's d: -0.31964
Effect size interpretation: small
p-value: 0.00000
Comparison: Values - Life | 01PAST
n1 = 1072, n2 = 1072
Cohen's d: -0.42622
Effect size interpretation: small
p-value: 0.00000
Comparison: Preferences - Life | 02FUT
n1 = 1054, n2 = 1054
Cohen's d: -0.27911
Effect size interpretation: small
p-value: 0.00000
Comparison: Personality - Values | 02FUT
n1 = 1054, n2 = 1054
Cohen's d: 0.09213
Effect size interpretation: negligible
p-value: 0.00531
Comparison: Personality - Life | 02FUT
n1 = 1054, n2 = 1054
Cohen's d: -0.24666
Effect size interpretation: small
p-value: 0.00000
Comparison: Values - Life | 02FUT
n1 = 1054, n2 = 1054
Cohen's d: -0.33596
Effect size interpretation: small
p-value: 0.00000
[1] "\n=== COHEN'S D FOR THREE-WAY INTERACTION ==="
[1] "The pairwise comparisons show the TIME effects within each TEMPORAL_DO × DOMAIN combination:"
TEMPORAL_DO = 01PAST, DOMAIN = Preferences:
contrast estimate SE df t.ratio p.value
Past - Future 0.3638060 0.1061305 3523.81 3.428 0.0006
TEMPORAL_DO = 02FUT, DOMAIN = Preferences:
contrast estimate SE df t.ratio p.value
Past - Future 0.2580645 0.1070329 3523.81 2.411 0.0160
TEMPORAL_DO = 01PAST, DOMAIN = Personality:
contrast estimate SE df t.ratio p.value
Past - Future 0.4757463 0.1061305 3523.81 4.483 <.0001
TEMPORAL_DO = 02FUT, DOMAIN = Personality:
contrast estimate SE df t.ratio p.value
Past - Future 0.4098672 0.1070329 3523.81 3.829 0.0001
TEMPORAL_DO = 01PAST, DOMAIN = Values:
contrast estimate SE df t.ratio p.value
Past - Future 0.4701493 0.1061305 3523.81 4.430 <.0001
TEMPORAL_DO = 02FUT, DOMAIN = Values:
contrast estimate SE df t.ratio p.value
Past - Future 0.5104364 0.1070329 3523.81 4.769 <.0001
TEMPORAL_DO = 01PAST, DOMAIN = Life:
contrast estimate SE df t.ratio p.value
Past - Future 0.5242537 0.1061305 3523.81 4.940 <.0001
TEMPORAL_DO = 02FUT, DOMAIN = Life:
contrast estimate SE df t.ratio p.value
Past - Future 0.2941176 0.1070329 3523.81 2.748 0.0060
[1] "\nCohen's d calculations for significant TIME effects within each TEMPORAL_DO × DOMAIN combination:"
TEMPORAL_DO = 01PAST, DOMAIN = Preferences:
Past vs Future comparison
n_Past = 536, n_Future = 536
Cohen's d: 0.12574
Effect size interpretation: negligible
p-value: 0.00062
Estimated difference: 0.36381
TEMPORAL_DO = 02FUT, DOMAIN = Preferences:
Past vs Future comparison
n_Past = 527, n_Future = 527
Cohen's d: 0.09256
Effect size interpretation: negligible
p-value: 0.01596
Estimated difference: 0.25806
TEMPORAL_DO = 01PAST, DOMAIN = Personality:
Past vs Future comparison
n_Past = 536, n_Future = 536
Cohen's d: 0.16725
Effect size interpretation: negligible
p-value: 0.00001
Estimated difference: 0.47575
TEMPORAL_DO = 02FUT, DOMAIN = Personality:
Past vs Future comparison
n_Past = 527, n_Future = 527
Cohen's d: 0.14547
Effect size interpretation: negligible
p-value: 0.00013
Estimated difference: 0.40987
TEMPORAL_DO = 01PAST, DOMAIN = Values:
Past vs Future comparison
n_Past = 536, n_Future = 536
Cohen's d: 0.16420
Effect size interpretation: negligible
p-value: 0.00001
Estimated difference: 0.47015
TEMPORAL_DO = 02FUT, DOMAIN = Values:
Past vs Future comparison
n_Past = 527, n_Future = 527
Cohen's d: 0.17779
Effect size interpretation: negligible
p-value: 0.00000
Estimated difference: 0.51044
TEMPORAL_DO = 01PAST, DOMAIN = Life:
Past vs Future comparison
n_Past = 536, n_Future = 536
Cohen's d: 0.18584
Effect size interpretation: negligible
p-value: 0.00000
Estimated difference: 0.52425
TEMPORAL_DO = 02FUT, DOMAIN = Life:
Past vs Future comparison
n_Past = 527, n_Future = 527
Cohen's d: 0.10343
Effect size interpretation: negligible
p-value: 0.00603
Estimated difference: 0.29412
[1] "\n=== ANALYSIS COMPLETE ==="
[1] "All significant and marginal effects have been analyzed with Cohen's d calculations."