eohi/eohi1/results exp1 - mixed anova - domain means.md
2025-12-23 15:47:09 -05:00

1597 lines
67 KiB
Markdown
Raw Permalink Blame History

This file contains invisible Unicode characters

This file contains invisible Unicode characters that are indistinguishable to humans but may be processed differently by a computer. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.

This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.

  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**
**4 DOMAIN 3 3183 311.5536201 1597.6667 206.9007190**
**5 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**
**4 0.00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000001337697**
**5 0.00095717428775204211818805610789695492712780833244323730468750000000000000000000000000000000000000000000000000000000000000000000**
6 0.05766070356738214885972126921842573210597038269042968750000000000000000000000000000000000000000000000000000000000000000000000000
**7 0.01204956368720257880999824351420102175325155258178710937500000000000000000000000000000000000000000000000000000000000000000000000**
8 0.51088655666805471433633556443965062499046325683593750000000000000000000000000000000000000000000000000000000000000000000000000000
  p<.05 ges
1 \* 0.5631728577
2 0.0001496810
**3 \* 0.0079015460**
**4 \* 0.0588693257**
**5 \* 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 ===
&nbsp; \*\*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
&nbsp; \*\*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 ù DOMAIN INTERACTION ==="
NOTE: Results may be misleading due to involvement in interactions
\[1] "Estimated Marginal Means:"
 TIME DOMAIN emmean SE df lower.CL upper.CL
 Past Preferences 0.783 0.0235 5073 0.737 0.829
 Future Preferences 0.644 0.0235 5073 0.598 0.690
 Past Personality 0.962 0.0235 5073 0.916 1.008
 Future Personality 0.866 0.0235 5073 0.820 0.912
 Past Values 0.784 0.0235 5073 0.738 0.830
 Future Values 0.586 0.0235 5073 0.540 0.633
 Past Life 1.220 0.0235 5073 1.174 1.266
 Future Life 1.107 0.0235 5073 1.061 1.153
Results are averaged over the levels of: TEMPORAL\_DO
Warning: EMMs are biased unless design is perfectly balanced
Confidence level used: 0.95
\[1] "\\n**Simple Effects of DOMAIN within each TIME**:"
TIME = Past:
 contrast estimate SE df t.ratio p.value
 Preferences - Personality -0.179220 0.0272 5913 -6.590 <.0001
 Preferences - Values -0.000848 0.0272 5913 -0.031 1.0000
 Preferences - Life -0.436770 0.0272 5913 -16.059 <.0001
 Personality - Values 0.178371 0.0272 5913 6.558 <.0001
 Personality - Life -0.257550 0.0272 5913 -9.470 <.0001
 Values - Life -0.435921 0.0272 5913 -16.028 <.0001
TIME = Future:
 contrast estimate SE df t.ratio p.value
 Preferences - Personality -0.221615 0.0272 5913 -8.148 <.0001
 Preferences - Values 0.057652 0.0272 5913 2.120 0.2044
 Preferences - Life -0.462575 0.0272 5913 -17.008 <.0001
 Personality - Values 0.279267 0.0272 5913 10.268 <.0001
 Personality - Life -0.240960 0.0272 5913 -8.860 <.0001
 Values - Life -0.520227 0.0272 5913 -19.128 <.0001
Results are averaged over the levels of: TEMPORAL\_DO
P value adjustment: bonferroni method for 6 tests
**\[1] "\\nSimple Effects of TIME within each DOMAIN:"**
**DOMAIN = Preferences:**
**contrast estimate SE df t.ratio p.value**
**Past - Future 0.1390 0.0253 3936 5.504 <.0001**
**DOMAIN = Personality:**
**contrast estimate SE df t.ratio p.value**
**Past - Future 0.0966 0.0253 3936 3.826 0.0001**
**DOMAIN = Values:**
**contrast estimate SE df t.ratio p.value**
**Past - Future 0.1975 0.0253 3936 7.820 <.0001**
**DOMAIN = Life:**
**contrast estimate SE df t.ratio p.value**
**Past - Future 0.1132 0.0253 3936 4.482 <.0001**
Results are averaged over the levels of: TEMPORAL\_DO
\[1] "**\\n=== TEMPORAL\_DO ù DOMAIN INTERACTION ==**="
NOTE: Results may be misleading due to involvement in interactions
\[1] "Estimated Marginal Means:"
 TEMPORAL\_DO DOMAIN emmean SE df lower.CL upper.CL
 01PAST Preferences 0.700 0.0280 2861 0.645 0.754
 02FUT Preferences 0.728 0.0281 2887 0.673 0.783
 01PAST Personality 0.928 0.0280 2861 0.874 0.983
 02FUT Personality 0.900 0.0281 2887 0.845 0.955
 01PAST Values 0.681 0.0280 2861 0.626 0.736
 02FUT Values 0.689 0.0281 2887 0.634 0.744
 01PAST Life 1.205 0.0280 2861 1.150 1.259
 02FUT Life 1.122 0.0281 2887 1.067 1.177
Results are averaged over the levels of: TIME
Warning: EMMs are biased unless design is perfectly balanced
Confidence level used: 0.95
\[1] "\\nSimple Effects of DOMAIN within each TEMPORAL\_DO:"
TEMPORAL\_DO = 01PAST:
 contrast estimate SE df t.ratio p.value
 Preferences - Personality -0.2289 0.0306 3183 -7.481 <.0001
 Preferences - Values 0.0183 0.0306 3183 0.597 1.0000
 Preferences - Life -0.5050 0.0306 3183 -16.504 <.0001
 Personality - Values 0.2472 0.0306 3183 8.078 <.0001
 Personality - Life -0.2761 0.0306 3183 -9.023 <.0001
 Values - Life -0.5233 0.0306 3183 -17.101 <.0001
TEMPORAL\_DO = 02FUT:
 contrast estimate SE df t.ratio p.value
 Preferences - Personality -0.1719 0.0309 3183 -5.571 <.0001
 Preferences - Values 0.0385 0.0309 3183 1.248 1.0000
 Preferences - Life -0.3943 0.0309 3183 -12.777 <.0001
 Personality - Values 0.2104 0.0309 3183 6.819 <.0001
 Personality - Life -0.2224 0.0309 3183 -7.206 <.0001
 Values - Life -0.4328 0.0309 3183 -14.025 <.0001
Results are averaged over the levels of: TIME
P value adjustment: bonferroni method for 6 tests
\[1] "\\nSimple Effects of TEMPORAL\_DO within each DOMAIN:"
DOMAIN = Preferences:
 contrast estimate SE df t.ratio p.value
 01PAST - 02FUT -0.02826 0.0396 2874 -0.713 0.4757
DOMAIN = Personality:
 contrast estimate SE df t.ratio p.value
 01PAST - 02FUT 0.02874 0.0396 2874 0.725 0.4684
DOMAIN = Values:
 contrast estimate SE df t.ratio p.value
 01PAST - 02FUT -0.00803 0.0396 2874 -0.203 0.8395
**DOMAIN = Life:**
**contrast estimate SE df t.ratio p.value**
**01PAST - 02FUT 0.08247 0.0396 2874 2.081 0.0375**
Results are averaged over the levels of: TIME
\[1] "\\n=== THREE-WAY INTERACTION ANALYSIS ==="
\[1] "Note: Three-way interaction was non-significant (p = 0.511)"
\[1] "\\n=== COHEN'S D FOR SIGNIFICANT TWO-WAY INTERACTIONS ==="
\[1] "\\n==**= COHEN'S D FOR TEMPORAL\_DO ù TIME INTERACTION** ==="
Significant pairwise comparisons (p < 0.05):
**contrast TEMPORAL\_DO estimate SE df t.ratio p.value**
**Past - Future 01PAST 0.08563433 0.02167029 1061 3.952 0.0001**
**Past - Future 02FUT 0.18757116 0.02185455 1061 8.583 <.0001**
Results are averaged over the levels of: DOMAIN
**Cohen's d calculated from raw data:**
**Comparison: Past - Future | 01PAST**
**n1 = 2144, n2 = 2144**
**Cohen's d: 0.10639**
**Effect size interpretation: negligible**
**p-value: 0.00008**
**Comparison: Past - Future | 02FUT**
**n1 = 2108, n2 = 2108**
**Cohen's d: 0.24237**
**Effect size interpretation: small**
**p-value: 0.00000**
Significant pairwise comparisons (p < 0.05):
 contrast TIME estimate SE df t.ratio p.value
 01PAST - 02FUT Future 0.06969664 0.03314652 1603.1 2.103 0.0356
Results are averaged over the levels of: DOMAIN
Cohen's d calculated from raw data:
Comparison: 01PAST - 02FUT | Future
  n1 = 2144, n2 = 2108
  Cohen's d: 0.09518
  Effect size interpretation: negligible
  p-value: 0.03565
\[1] "\\n=== **COHEN'S D FOR TIME × DOMAIN INTERACTION** ==="
Significant pairwise comparisons (p < 0.05):
**contrast DOMAIN estimate SE df t.ratio p.value**
**Past - Future Preferences 0.13902794 0.02525902 3935.86 5.504 <.0001**
**Past - Future Personality 0.09663259 0.02525902 3935.86 3.826 0.0001**
**Past - Future Values 0.19752790 0.02525902 3935.86 7.820 <.0001**
**Past - Future Life 0.11322255 0.02525902 3935.86 4.482 <.0001**
Results are averaged over the levels of: TEMPORAL\_DO
**Cohen's d calculated from raw data:**
**Comparison: Past - Future | Preferences**
**n1 = 1063, n2 = 1063**
**Cohen's d: 0.21102**
**Effect size interpretation: small**
**p-value: 0.00000**
**Comparison: Past - Future | Personality**
**n1 = 1063, n2 = 1063**
**Cohen's d: 0.13666**
**Effect size interpretation: negligible**
**p-value: 0.00013**
**Comparison: Past - Future | Values**
**n1 = 1063, n2 = 1063**
**Cohen's d: 0.30496**
**Effect size interpretation: small**
**p-value: 0.00000**
**Comparison: Past - Future | Life**
**n1 = 1063, n2 = 1063**
**Cohen's d: 0.11243**
**Effect size interpretation: negligible**
**p-value: 0.00001**
Significant pairwise comparisons (p < 0.05):
 contrast TIME estimate SE df t.ratio p.value
 Preferences - Personality Past -0.1792195 0.02719739 5912.96 -6.590 <.0001
 Preferences - Life Past -0.4367697 0.02719739 5912.96 -16.059 <.0001
 Personality - Values Past 0.1783713 0.02719739 5912.96 6.558 <.0001
 Personality - Life Past -0.2575501 0.02719739 5912.96 -9.470 <.0001
 Values - Life Past -0.4359214 0.02719739 5912.96 -16.028 <.0001
 Preferences - Personality Future -0.2216149 0.02719739 5912.96 -8.148 <.0001
 Preferences - Life Future -0.4625751 0.02719739 5912.96 -17.008 <.0001
 Personality - Values Future 0.2792666 0.02719739 5912.96 10.268 <.0001
 Personality - Life Future -0.2409602 0.02719739 5912.96 -8.860 <.0001
 Values - Life Future -0.5202268 0.02719739 5912.96 -19.128 <.0001
Results are averaged over the levels of: TEMPORAL\_DO
P value adjustment: bonferroni method for 6 tests
Cohen's d calculated from raw data:
Comparison: Preferences - Personality | Past
  n1 = 1063, n2 = 1063
  Cohen's d: -0.24351
  Effect size interpretation: small
  p-value: 0.00000
Comparison: Preferences - Life | Past
  n1 = 1063, n2 = 1063
  Cohen's d: -0.48894
  Effect size interpretation: small
  p-value: 0.00000
Comparison: Personality - Values | Past
  n1 = 1063, n2 = 1063
  Cohen's d: 0.23863
  Effect size interpretation: small
  p-value: 0.00000
Comparison: Personality - Life | Past
  n1 = 1063, n2 = 1063
  Cohen's d: -0.28411
  Effect size interpretation: small
  p-value: 0.00000
Comparison: Values - Life | Past
  n1 = 1063, n2 = 1063
  Cohen's d: -0.48278
  Effect size interpretation: small
  p-value: 0.00000
Comparison: Preferences - Personality | Future
  n1 = 1063, n2 = 1063
  Cohen's d: -0.35747
  Effect size interpretation: small
  p-value: 0.00000
Comparison: Preferences - Life | Future
  n1 = 1063, n2 = 1063
  Cohen's d: -0.57958
  Effect size interpretation: medium
  p-value: 0.00000
Comparison: Personality - Values | Future
  n1 = 1063, n2 = 1063
  Cohen's d: 0.47072
  Effect size interpretation: small
  p-value: 0.00000
Comparison: Personality - Life | Future
  n1 = 1063, n2 = 1063
  Cohen's d: -0.29322
  Effect size interpretation: small
  p-value: 0.00000
Comparison: Values - Life | Future
  n1 = 1063, n2 = 1063
  Cohen's d: -0.66911
  Effect size interpretation: medium
  p-value: 0.00000
\[1] "\\n=== COHEN'S D FOR TEMPORAL\_DO ù DOMAIN INTERACTION ==="
Significant pairwise comparisons (p < 0.05):
 contrast DOMAIN estimate SE df t.ratio p.value
 01PAST - 02FUT Life 0.08246623 0.03962602 2874.42 2.081 0.0375
Results are averaged over the levels of: TIME
Cohen's d calculated from raw data:
Comparison: 01PAST - 02FUT | Life
  n1 = 1072, n2 = 1054
  Cohen's d: 0.08221
  Effect size interpretation: negligible
  p-value: 0.03751
Significant pairwise comparisons (p < 0.05):
 contrast TEMPORAL\_DO estimate SE df t.ratio
 Preferences - Personality 01PAST -0.2289179 0.03060148 3183 -7.481
 Preferences - Life 01PAST -0.5050373 0.03060148 3183 -16.504
 Personality - Values 01PAST 0.2472015 0.03060148 3183 8.078
 Personality - Life 01PAST -0.2761194 0.03060148 3183 -9.023
 Values - Life 01PAST -0.5233209 0.03060148 3183 -17.101
 Preferences - Personality 02FUT -0.1719165 0.03086167 3183 -5.571
 Preferences - Life 02FUT -0.3943074 0.03086167 3183 -12.777
 Personality - Values 02FUT 0.2104364 0.03086167 3183 6.819
 Personality - Life 02FUT -0.2223909 0.03086167 3183 -7.206
 Values - Life 02FUT -0.4328273 0.03086167 3183 -14.025
 p.value
  <.0001
  <.0001
  <.0001
  <.0001
  <.0001
  <.0001
  <.0001
  <.0001
  <.0001
  <.0001
Results are averaged over the levels of: TIME
P value adjustment: bonferroni method for 6 tests
Cohen's d calculated from raw data:
Comparison: Preferences - Personality | 01PAST
  n1 = 1072, n2 = 1072
  Cohen's d: -0.33645
  Effect size interpretation: small
  p-value: 0.00000
Comparison: Preferences - Life | 01PAST
  n1 = 1072, n2 = 1072
  Cohen's d: -0.58553
  Effect size interpretation: medium
  p-value: 0.00000
Comparison: Personality - Values | 01PAST
  n1 = 1072, n2 = 1072
  Cohen's d: 0.36212
  Effect size interpretation: small
  p-value: 0.00000
Comparison: Personality - Life | 01PAST
  n1 = 1072, n2 = 1072
  Cohen's d: -0.31200
  Effect size interpretation: small
  p-value: 0.00000
Comparison: Values - Life | 01PAST
  n1 = 1072, n2 = 1072
  Cohen's d: -0.60548
  Effect size interpretation: medium
  p-value: 0.00000
Comparison: Preferences - Personality | 02FUT
  n1 = 1054, n2 = 1054
  Cohen's d: -0.25029
  Effect size interpretation: small
  p-value: 0.00000
Comparison: Preferences - Life | 02FUT
  n1 = 1054, n2 = 1054
  Cohen's d: -0.47142
  Effect size interpretation: small
  p-value: 0.00000
Comparison: Personality - Values | 02FUT
  n1 = 1054, n2 = 1054
  Cohen's d: 0.31099
  Effect size interpretation: small
  p-value: 0.00000
Comparison: Personality - Life | 02FUT
  n1 = 1054, n2 = 1054
  Cohen's d: -0.26217
  Effect size interpretation: small
  p-value: 0.00000
Comparison: Values - Life | 02FUT
  n1 = 1054, n2 = 1054
  Cohen's d: -0.52269
  Effect size interpretation: medium
  p-value: 0.00000
\[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 0.11828358 0.03557011 3935.86 3.325 0.0009**
**TEMPORAL\_DO = 02FUT, DOMAIN = Preferences:**
**contrast estimate SE df t.ratio p.value**
**Past - Future 0.15977230 0.03587255 3935.86 4.454 <.0001**
TEMPORAL\_DO = 01PAST, DOMAIN = Personality:
 contrast estimate SE df t.ratio p.value
 Past - Future 0.03880597 0.03557011 3935.86 1.091 0.2754
**TEMPORAL\_DO = 02FUT, DOMAIN = Personality:**
**contrast estimate SE df t.ratio p.value**
**Past - Future 0.15445920 0.03587255 3935.86 4.306 <.0001**
**TEMPORAL\_DO = 01PAST, DOMAIN = Values:**
**contrast estimate SE df t.ratio p.value**
**Past - Future 0.13395522 0.03557011 3935.86 3.766 0.0002**
**TEMPORAL\_DO = 02FUT, DOMAIN = Values:**
**contrast estimate SE df t.ratio p.value**
**Past - Future 0.26110057 0.03587255 3935.86 7.279 <.0001**
TEMPORAL\_DO = 01PAST, DOMAIN = Life:
 contrast estimate SE df t.ratio p.value
 Past - Future 0.05149254 0.03557011 3935.86 1.448 0.1478
**TEMPORAL\_DO = 02FUT, DOMAIN = Life:**
**contrast estimate SE df t.ratio p.value**
**Past - Future 0.17495256 0.03587255 3935.86 4.877 <.0001**
\[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: 0.18239**
  Effect size interpretation: negligible
  p-value: 0.00089
  Estimated difference: 0.11828
**TEMPORAL\_DO = 02FUT, DOMAIN = Preferences:**
  Past vs Future comparison
  n\_Past = 527, n\_Future = 527
**Cohen's d: 0.23929**
  Effect size interpretation: small
  p-value: 0.00001
  Estimated difference: 0.15977
**TEMPORAL\_DO = 02FUT, DOMAIN = Personality:**
  Past vs Future comparison
  n\_Past = 527, n\_Future = 527
**Cohen's d: 0.22151**
  Effect size interpretation: small
  p-value: 0.00002
  Estimated difference: 0.15446
**TEMPORAL\_DO = 01PAST, DOMAIN = Values:**
  Past vs Future comparison
  n\_Past = 536, n\_Future = 536
**Cohen's d: 0.20530**
  Effect size interpretation: small
  p-value: 0.00017
  Estimated difference: 0.13396
**TEMPORAL\_DO = 02FUT, DOMAIN = Values:**
  Past vs Future comparison
  n\_Past = 527, n\_Future = 527
**Cohen's d: 0.40909**
  Effect size interpretation: small
  p-value: 0.00000
  Estimated difference: 0.26110
**TEMPORAL\_DO = 02FUT, DOMAIN = Life:**
  Past vs Future comparison
  n\_Past = 527, n\_Future = 527
**Cohen's d: 0.18039**
  Effect size interpretation: negligible
  p-value: 0.00000
  Estimated difference: 0.17495