1013 lines
107 KiB
Plaintext
1013 lines
107 KiB
Plaintext
Rscript : ΓöÇΓöÇ Attaching core tidyverse packages
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ΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇ
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tidyverse 2.0.0 ΓöÇΓöÇ
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At line:1 char:13
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+ cd "eohi2"; Rscript "mixed anova - domain means.r" > "results exp2 - ...
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+ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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+ CategoryInfo : NotSpecified: (ΓöÇΓöÇ Attachin...se 2.0.0 ΓöÇΓöÇ
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:String) [], RemoteException
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+ FullyQualifiedErrorId : NativeCommandError
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Γ£ö dplyr 1.1.4 Γ£ö readr 2.1.5
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Γ£ö forcats 1.0.0 Γ£ö stringr 1.5.1
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Γ£ö ggplot2 3.5.1 Γ£ö tibble 3.2.1
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Γ£ö lubridate 1.9.3 Γ£ö tidyr 1.3.1
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Γ£ö purrr 1.0.2
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ΓöÇΓöÇ Conflicts ΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓö
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ÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇΓöÇ
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tidyverse_conflicts() ΓöÇΓöÇ
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Γ£û dplyr::filter() masks stats::filter()
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Γ£û dplyr::lag() masks stats::lag()
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ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all
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conflicts to become errors
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Loading required package: carData
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Attaching package: 'car'
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The following object is masked from 'package:dplyr':
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recode
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The following object is masked from 'package:purrr':
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some
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Loading required package: lme4
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Loading required package: Matrix
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Attaching package: 'Matrix'
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The following objects are masked from 'package:tidyr':
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expand, pack, unpack
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************
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Welcome to afex. For support visit: http://afex.singmann.science/
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- Functions for ANOVAs: aov_car(), aov_ez(), and aov_4()
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- Methods for calculating p-values with mixed(): 'S', 'KR', 'LRT', and 'PB'
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- 'afex_aov' and 'mixed' objects can be passed to emmeans() for follow-up tests
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- Get and set global package options with: afex_options()
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- Set sum-to-zero contrasts globally: set_sum_contrasts()
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- For example analyses see: browseVignettes("afex")
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************
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Attaching package: 'afex'
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The following object is masked from 'package:lme4':
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lmer
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Welcome to emmeans.
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Caution: You lose important information if you filter this package's results.
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See '? untidy'
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Warning message:
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package 'effsize' was built under R version 4.4.3
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Registered S3 methods overwritten by 'parameters':
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method from
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display.parameters_distribution datawizard
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plot.parameters_distribution datawizard
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print_md.parameters_distribution datawizard
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[1] "Dataset dimensions: 490 x213"
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[1] "Number of participants: 490"
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[1] "All required domain mean variables found!"
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[1] "Domain mapping created:"
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variable time domain interval
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1 NPast_5_pref_MEAN Past Preferences 5
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2 NPast_5_pers_MEAN Past Personality 5
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3 NPast_5_val_MEAN Past Values 5
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4 NPast_10_pref_MEAN Past Preferences 10
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5 NPast_10_pers_MEAN Past Personality 10
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6 NPast_10_val_MEAN Past Values 10
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7 NFut_5_pref_MEAN Future Preferences 5
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8 NFut_5_pers_MEAN Future Personality 5
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9 NFut_5_val_MEAN Future Values 5
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10 NFut_10_pref_MEAN Future Preferences 10
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11 NFut_10_pers_MEAN Future Personality 10
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12 NFut_10_val_MEAN Future Values 10
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13 X5.10past_pref_MEAN Past Preferences 5_10
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14 X5.10past_pers_MEAN Past Personality 5_10
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15 X5.10past_val_MEAN Past Values 5_10
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16 X5.10fut_pref_MEAN Future Preferences 5_10
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17 X5.10fut_pers_MEAN Future Personality 5_10
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18 X5.10fut_val_MEAN Future Values 5_10
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[1] "Long data dimensions: 8820 x7"
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[1] "Number of participants: 490"
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[1] "Descriptive statistics by TIME, DOMAIN, and INTERVAL:"
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# A tibble: 18 × 12
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TIME DOMAIN INTERVAL n mean variance sd median q1 q3 min
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<fct> <fct> <fct> <int> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
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1 Past Preferen… 5 490 0.656 0.420 0.648 0.4 0.2 1 0
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2 Past Preferen… 10 490 0.795 0.490 0.700 0.6 0.2 1.2 0
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3 Past Preferen… 5_10 490 0.592 0.388 0.623 0.4 0.05 1 0
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4 Past Personal… 5 490 0.961 0.569 0.755 0.8 0.4 1.4 0
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5 Past Personal… 10 490 1.05 0.624 0.790 0.8 0.4 1.4 0
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6 Past Personal… 5_10 490 0.769 0.531 0.729 0.6 0.2 1.2 0
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7 Past Values 5 490 0.673 0.439 0.662 0.6 0.2 1 0
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8 Past Values 10 490 0.818 0.630 0.793 0.6 0.2 1.2 0
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9 Past Values 5_10 490 0.595 0.458 0.677 0.4 0 0.8 0
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10 Future Preferen… 5 490 0.580 0.346 0.588 0.4 0.2 0.8 0
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11 Future Preferen… 10 490 0.692 0.380 0.617 0.6 0.2 1 0
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12 Future Preferen… 5_10 490 0.457 0.325 0.570 0.4 0 0.6 0
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13 Future Personal… 5 490 0.886 0.458 0.677 0.8 0.4 1.2 0
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14 Future Personal… 10 490 0.925 0.468 0.684 0.8 0.4 1.2 0
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15 Future Personal… 5_10 490 0.581 0.345 0.587 0.4 0.2 0.8 0
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16 Future Values 5 490 0.620 0.334 0.578 0.4 0.2 0.8 0
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17 Future Values 10 490 0.674 0.378 0.615 0.6 0.2 1 0
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18 Future Values 5_10 490 0.471 0.324 0.569 0.3 0 0.8 0
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# ℹ 1 more variable: max <dbl>
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[1] "Descriptive statistics by between-subjects factors:"
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# A tibble: 72 × 9
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TEMPORAL_DO INTERVAL_DO TIME DOMAIN INTERVAL n mean variance sd
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<fct> <fct> <fct> <fct> <fct> <int> <dbl> <dbl> <dbl>
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1 01PAST 5 Past Preferenc… 5 118 0.563 0.331 0.575
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2 01PAST 5 Past Preferenc… 10 118 0.725 0.409 0.640
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3 01PAST 5 Past Preferenc… 5_10 118 0.569 0.360 0.600
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4 01PAST 5 Past Personali… 5 118 0.883 0.605 0.778
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5 01PAST 5 Past Personali… 10 118 0.969 0.464 0.681
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6 01PAST 5 Past Personali… 5_10 118 0.771 0.422 0.650
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7 01PAST 5 Past Values 5 118 0.595 0.300 0.548
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8 01PAST 5 Past Values 10 118 0.859 0.780 0.883
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9 01PAST 5 Past Values 5_10 118 0.593 0.520 0.721
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10 01PAST 5 Future Preferenc… 5 118 0.578 0.260 0.510
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# ℹ 62 more rows
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[1] "Descriptive statistics by between-subjects factors only:"
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# A tibble: 4 × 6
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TEMPORAL_DO INTERVAL_DO n mean variance sd
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<fct> <fct> <int> <dbl> <dbl> <dbl>
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1 01PAST 5 2124 0.676 0.432 0.657
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2 01PAST 10 2250 0.743 0.470 0.686
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3 02FUT 5 2538 0.741 0.471 0.687
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4 02FUT 10 1908 0.671 0.481 0.693
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[1] "Data after removing missing values: 8820 x7"
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[1] "Missing values by TIME, DOMAIN, and INTERVAL:"
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# A tibble: 18 × 6
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TIME DOMAIN INTERVAL n_total n_missing pct_missing
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<fct> <fct> <fct> <int> <int> <dbl>
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1 Past Preferences 5 490 0 0
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2 Past Preferences 10 490 0 0
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3 Past Preferences 5_10 490 0 0
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4 Past Personality 5 490 0 0
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5 Past Personality 10 490 0 0
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6 Past Personality 5_10 490 0 0
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7 Past Values 5 490 0 0
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8 Past Values 10 490 0 0
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9 Past Values 5_10 490 0 0
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10 Future Preferences 5 490 0 0
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11 Future Preferences 10 490 0 0
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12 Future Preferences 5_10 490 0 0
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13 Future Personality 5 490 0 0
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14 Future Personality 10 490 0 0
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15 Future Personality 5_10 490 0 0
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16 Future Values 5 490 0 0
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17 Future Values 10 490 0 0
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18 Future Values 5_10 490 0 0
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[1] "Outlier summary (IQR method):"
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# A tibble: 18 × 12
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TIME DOMAIN INTERVAL n mean sd q1 q3 iqr lower_bound
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<fct> <fct> <fct> <int> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
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1 Past Preferences 5 490 0.656 0.648 0.2 1 0.8 -1
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2 Past Preferences 10 490 0.795 0.700 0.2 1.2 1 -1.3
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3 Past Preferences 5_10 490 0.592 0.623 0.05 1 0.95 -1.37
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4 Past Personality 5 490 0.961 0.755 0.4 1.4 1 -1.1
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5 Past Personality 10 490 1.05 0.790 0.4 1.4 1 -1.1
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6 Past Personality 5_10 490 0.769 0.729 0.2 1.2 1 -1.3
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7 Past Values 5 490 0.673 0.662 0.2 1 0.8 -1
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8 Past Values 10 490 0.818 0.793 0.2 1.2 1 -1.3
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9 Past Values 5_10 490 0.595 0.677 0 0.8 0.8 -1.2
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10 Future Preferences 5 490 0.580 0.588 0.2 0.8 0.6 -0.7
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11 Future Preferences 10 490 0.692 0.617 0.2 1 0.8 -1
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12 Future Preferences 5_10 490 0.457 0.570 0 0.6 0.6 -0.9
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13 Future Personality 5 490 0.886 0.677 0.4 1.2 0.8 -0.8
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14 Future Personality 10 490 0.925 0.684 0.4 1.2 0.8 -0.8
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15 Future Personality 5_10 490 0.581 0.587 0.2 0.8 0.6 -0.7
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16 Future Values 5 490 0.620 0.578 0.2 0.8 0.6 -0.7
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17 Future Values 10 490 0.674 0.615 0.2 1 0.8 -1
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18 Future Values 5_10 490 0.471 0.569 0 0.8 0.8 -1.2
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# ℹ 2 more variables: upper_bound <dbl>, n_outliers <int>
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[1] "Anderson-Darling normality test results:"
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# A tibble: 18 × 6
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TIME DOMAIN INTERVAL n ad_statistic ad_p_value
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<fct> <fct> <fct> <dbl> <dbl> <dbl>
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1 Past Preferences 5 490 18.2 0
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2 Past Preferences 10 490 12.9 0
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3 Past Preferences 5_10 490 22.7 0
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4 Past Personality 5 490 10.6 0
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5 Past Personality 10 490 10.7 0
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6 Past Personality 5_10 490 17.4 0
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7 Past Values 5 490 19.8 0
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8 Past Values 10 490 18.9 0
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9 Past Values 5_10 490 24.1 0
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10 Future Preferences 5 490 19.5 0
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11 Future Preferences 10 490 13.6 0
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12 Future Preferences 5_10 490 29.1 0
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13 Future Personality 5 490 10.9 0
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14 Future Personality 10 490 8.87 0
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15 Future Personality 5_10 490 18.5 0
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16 Future Values 5 490 17.2 0
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17 Future Values 10 490 16.1 0
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18 Future Values 5_10 490 28.3 0
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[1] "Homogeneity of variance across TIME within each DOMAIN × INTERVAL combination:"
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# A tibble: 9 × 4
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DOMAIN INTERVAL levene_F levene_p
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<fct> <fct> <dbl> <dbl>
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1 Preferences 5 3.31 0.0692
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2 Preferences 10 7.21 0.00736
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3 Preferences 5_10 7.16 0.00760
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4 Personality 5 2.67 0.103
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5 Personality 10 9.15 0.00255
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6 Personality 5_10 10.8 0.00107
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7 Values 5 3.75 0.0532
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8 Values 10 15.6 0.0000852
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9 Values 5_10 4.93 0.0266
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[1] "Homogeneity of variance across DOMAIN within each TIME × INTERVAL combination:"
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# A tibble: 6 × 4
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TIME INTERVAL levene_F levene_p
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<fct> <fct> <dbl> <dbl>
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1 Past 5 6.01 0.00250
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2 Past 10 2.91 0.0546
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3 Past 5_10 2.32 0.0983
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4 Future 5 8.33 0.000252
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5 Future 10 3.98 0.0190
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6 Future 5_10 0.913 0.401
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[1] "Homogeneity of variance across INTERVAL within each TIME × DOMAIN combination:"
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# A tibble: 6 × 4
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TIME DOMAIN levene_F levene_p
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<fct> <fct> <dbl> <dbl>
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1 Past Preferences 2.54 0.0793
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2 Past Personality 2.86 0.0575
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3 Past Values 5.11 0.00615
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4 Future Preferences 2.03 0.131
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5 Future Personality 5.88 0.00285
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6 Future Values 0.589 0.555
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[1] "\n=== HARTLEY'S F-MAX TEST FOR BETWEEN-SUBJECTS FACTORS ==="
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[1] "Unique TEMPORAL_DO values:"
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[1] 02FUT 01PAST
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Levels: 01PAST 02FUT
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[1] "Unique INTERVAL_DO values:"
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[1] 5 10
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Levels: 5 10
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[1] "\n=== HARTLEY'S F-MAX TEST: TEMPORAL_DO within each TIME × DOMAIN × INTERVAL combination ==="
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# A tibble: 18 × 6
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TIME DOMAIN INTERVAL past_var fut_var f_max_ratio
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<fct> <fct> <fct> <dbl> <dbl> <dbl>
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1 Past Preferences 5 0.321 0.516 1.61
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2 Past Preferences 10 0.439 0.543 1.24
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3 Past Preferences 5_10 0.405 0.370 1.10
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4 Past Personality 5 0.525 0.609 1.16
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5 Past Personality 10 0.573 0.671 1.17
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6 Past Personality 5_10 0.483 0.579 1.20
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7 Past Values 5 0.401 0.473 1.18
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8 Past Values 10 0.693 0.570 1.22
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9 Past Values 5_10 0.552 0.363 1.52
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10 Future Preferences 5 0.338 0.352 1.04
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11 Future Preferences 10 0.366 0.395 1.08
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12 Future Preferences 5_10 0.402 0.250 1.61
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13 Future Personality 5 0.461 0.451 1.02
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14 Future Personality 10 0.452 0.484 1.07
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15 Future Personality 5_10 0.303 0.382 1.26
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16 Future Values 5 0.322 0.345 1.07
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17 Future Values 10 0.366 0.391 1.07
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18 Future Values 5_10 0.311 0.334 1.07
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[1] "\n=== HARTLEY'S F-MAX TEST: INTERVAL_DO within each TIME × DOMAIN × TEMPORAL_DO combination ==="
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# A tibble: 12 × 6
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TIME DOMAIN TEMPORAL_DO int5_var int10_var f_max_ratio
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<fct> <fct> <fct> <dbl> <dbl> <dbl>
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1 Past Preferences 01PAST 0.370 0.411 1.11
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2 Past Preferences 02FUT 0.548 0.398 1.38
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3 Past Personality 01PAST 0.501 0.564 1.13
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4 Past Personality 02FUT 0.625 0.658 1.05
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5 Past Values 01PAST 0.546 0.565 1.03
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6 Past Values 02FUT 0.449 0.522 1.16
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7 Future Preferences 01PAST 0.296 0.452 1.53
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8 Future Preferences 02FUT 0.329 0.351 1.07
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9 Future Personality 01PAST 0.459 0.423 1.09
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10 Future Personality 02FUT 0.423 0.486 1.15
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11 Future Values 01PAST 0.350 0.340 1.03
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12 Future Values 02FUT 0.355 0.364 1.03
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[1] "Data size for ANOVA: 8820 rows"
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[1] "Number of participants: 490"
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[1] "Design factors: TIME (2), DOMAIN (3), INTERVAL (3), TEMPORAL_DO (2), INTERVAL_DO (2)"
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[1] "Complete cases: 8820 out of 8820"
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[1] "Design is balanced: each participant has data for all TIME × DOMAIN × INTERVAL combinations"
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[1] "\n=== MIXED ANOVA RESULTS (with sphericity corrections) ==="
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Warning: Data is unbalanced (unequal N per group). Make sure you specified a
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well-considered value for the type argument to ezANOVA().
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[1] "ANOVA Results:"
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Effect DFn DFd SSn
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1 (Intercept) 1 486 4370.212440908
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2 TEMPORAL_DO 1 486 0.021739890
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3 INTERVAL_DO 1 486 0.002941091
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4 TIME 1 486 28.467598229
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5 DOMAIN 2 972 99.251774422
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6 INTERVAL 2 972 90.823692462
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7 TEMPORAL_DO:INTERVAL_DO 1 486 10.260283379
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8 TEMPORAL_DO:TIME 1 486 0.908911971
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9 INTERVAL_DO:TIME 1 486 0.065900104
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10 TEMPORAL_DO:DOMAIN 2 972 0.704765040
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11 INTERVAL_DO:DOMAIN 2 972 0.039169995
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12 TEMPORAL_DO:INTERVAL 2 972 0.020747610
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13 INTERVAL_DO:INTERVAL 2 972 0.421544230
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14 TIME:DOMAIN 2 972 0.249170445
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15 TIME:INTERVAL 2 972 2.716461526
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16 DOMAIN:INTERVAL 4 1944 7.053010791
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17 TEMPORAL_DO:INTERVAL_DO:TIME 1 486 0.288068727
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18 TEMPORAL_DO:INTERVAL_DO:DOMAIN 2 972 1.119913999
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19 TEMPORAL_DO:INTERVAL_DO:INTERVAL 2 972 0.254201308
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20 TEMPORAL_DO:TIME:DOMAIN 2 972 0.549252632
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21 INTERVAL_DO:TIME:DOMAIN 2 972 0.362619698
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22 TEMPORAL_DO:TIME:INTERVAL 2 972 8.025061793
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23 INTERVAL_DO:TIME:INTERVAL 2 972 0.028077397
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24 TEMPORAL_DO:DOMAIN:INTERVAL 4 1944 0.470968869
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25 INTERVAL_DO:DOMAIN:INTERVAL 4 1944 0.206677935
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26 TIME:DOMAIN:INTERVAL 4 1944 0.635703839
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27 TEMPORAL_DO:INTERVAL_DO:TIME:DOMAIN 2 972 0.469481025
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28 TEMPORAL_DO:INTERVAL_DO:TIME:INTERVAL 2 972 0.268682073
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29 TEMPORAL_DO:INTERVAL_DO:DOMAIN:INTERVAL 4 1944 0.526685599
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30 TEMPORAL_DO:TIME:DOMAIN:INTERVAL 4 1944 0.513925813
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31 INTERVAL_DO:TIME:DOMAIN:INTERVAL 4 1944 0.712950046
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32 TEMPORAL_DO:INTERVAL_DO:TIME:DOMAIN:INTERVAL 4 1944 0.397866653
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SSd F
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1 1594.9943 1331.6180922967
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2 1594.9943 0.0066242160
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3 1594.9943 0.0008961601
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4 343.1100 40.3230861714
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5 543.4204 88.7643519328
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6 290.6823 151.8506990753
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7 1594.9943 3.1263420633
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8 343.1100 1.2874333636
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9 343.1100 0.0933445646
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10 543.4204 0.6302961574
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11 543.4204 0.0350311035
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12 290.6823 0.0346885165
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13 290.6823 0.7047917147
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14 278.4448 0.4349042433
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15 192.3819 6.8623919056
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16 321.8394 10.6505403408
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17 343.1100 0.4080365331
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18 543.4204 1.0015784699
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19 290.6823 0.4250063540
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20 278.4448 0.9586702791
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21 278.4448 0.6329195471
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22 192.3819 20.2731084416
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23 192.3819 0.0709298120
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|
24 321.8394 0.7111959823
|
|
25 321.8394 0.3120981587
|
|
26 274.0331 1.1274262125
|
|
27 278.4448 0.8194362282
|
|
28 192.3819 0.6787512596
|
|
29 321.8394 0.7953321474
|
|
30 274.0331 0.9114518385
|
|
31 274.0331 1.2644230237
|
|
32 274.0331 0.7056199235
|
|
p
|
|
1 0.000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000002624874
|
|
2 0.935165875382395928028245180030353367328643798828125000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000
|
|
3 0.976130436854070193675170230562798678874969482421875000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000
|
|
4 0.000000000494752379720093791917040482175593751890119165182113647460937500000000000000000000000000000000000000000000000000000000000000000000000000000
|
|
5 0.000000000000000000000000000000000003918972118276176621817774581302273873006924986839294433593750000000000000000000000000000000000000000000000000000
|
|
6 0.000000000000000000000000000000000000000000000000000000000409049099921942559826559815405744302552193403244018554687500000000000000000000000000000000
|
|
7 0.077663737390287507222907947834755759686231613159179687500000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000
|
|
8 0.257080799713903407344162133085774257779121398925781250000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000
|
|
9 0.760098344413693949306320973846595734357833862304687500000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000
|
|
10 0.532651564840685542989717760065104812383651733398437500000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000
|
|
11 0.965576602035804198997936964588006958365440368652343750000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000
|
|
12 0.965907428934907441586688037205021828413009643554687500000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000
|
|
13 0.494463883126545822310760058826417662203311920166015625000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000
|
|
14 0.647452550541005034112629346054745838046073913574218750000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000
|
|
15 0.001097858070070122397596246166528999310685321688652038574218750000000000000000000000000000000000000000000000000000000000000000000000000000000000000
|
|
16 0.000000015427827931898662551339629356306204499560408294200897216796875000000000000000000000000000000000000000000000000000000000000000000000000000000
|
|
17 0.523268684965318753299357013020198792219161987304687500000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000
|
|
18 0.367677961484333182262673744844505563378334045410156250000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000
|
|
19 0.653887063319793959692560747498646378517150878906250000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000
|
|
20 0.383764576167475002232976066807168535888195037841796875000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000
|
|
21 0.531257852394406260287951226928271353244781494140625000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000
|
|
22 0.000000002366927977830637688187037648290811375773046165704727172851562500000000000000000000000000000000000000000000000000000000000000000000000000000
|
|
23 0.931532093001501859674817751511000096797943115234375000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000
|
|
24 0.584233147443363964868012772058136761188507080078125000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000
|
|
25 0.870028308786385706774524351203581318259239196777343750000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000
|
|
26 0.341742152423954059781152636787737719714641571044921875000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000
|
|
27 0.440984220627331668929116403887746855616569519042968750000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000
|
|
28 0.507490277515908916328157829411793500185012817382812500000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000
|
|
29 0.528108513831667680804571318731177598237991333007812500000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000
|
|
30 0.456283954872903074750922769453609362244606018066406250000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000
|
|
31 0.281829639990916591685277126089204102754592895507812500000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000
|
|
32 0.588061253339402734141572182124946266412734985351562500000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000
|
|
p<.05 ges
|
|
1 * 0.5323607343737
|
|
2 0.0000056630107
|
|
3 0.0000007661268
|
|
4 * 0.0073609636770
|
|
5 * 0.0252025882320
|
|
6 * 0.0231119426518
|
|
7 0.0026655857469
|
|
8 0.0002367072214
|
|
9 0.0000171660803
|
|
10 0.0001835511571
|
|
11 0.0000102033216
|
|
12 0.0000054045338
|
|
13 0.0001097963641
|
|
14 0.0000649024121
|
|
15 * 0.0007071130479
|
|
16 * 0.0018338755979
|
|
17 0.0000750336411
|
|
18 0.0002916422855
|
|
19 0.0000662127341
|
|
20 0.0001430548253
|
|
21 0.0000944501969
|
|
22 * 0.0020860943952
|
|
23 0.0000073138520
|
|
24 0.0001226680384
|
|
25 0.0000538348155
|
|
26 0.0001655676251
|
|
27 0.0001222805636
|
|
28 0.0000699843272
|
|
29 0.0001371779665
|
|
30 0.0001338550595
|
|
31 0.0001856824892
|
|
32 0.0001036298881
|
|
[1] "\nMauchly's Test of Sphericity:"
|
|
Effect W
|
|
9 DOMAIN 0.9893588
|
|
10 TEMPORAL_DO:DOMAIN 0.9893588
|
|
11 INTERVAL_DO:DOMAIN 0.9893588
|
|
12 TEMPORAL_DO:INTERVAL_DO:DOMAIN 0.9893588
|
|
13 INTERVAL 0.8413682
|
|
14 TEMPORAL_DO:INTERVAL 0.8413682
|
|
15 INTERVAL_DO:INTERVAL 0.8413682
|
|
16 TEMPORAL_DO:INTERVAL_DO:INTERVAL 0.8413682
|
|
17 TIME:DOMAIN 0.9734470
|
|
18 TEMPORAL_DO:TIME:DOMAIN 0.9734470
|
|
19 INTERVAL_DO:TIME:DOMAIN 0.9734470
|
|
20 TEMPORAL_DO:INTERVAL_DO:TIME:DOMAIN 0.9734470
|
|
21 TIME:INTERVAL 0.9756445
|
|
22 TEMPORAL_DO:TIME:INTERVAL 0.9756445
|
|
23 INTERVAL_DO:TIME:INTERVAL 0.9756445
|
|
24 TEMPORAL_DO:INTERVAL_DO:TIME:INTERVAL 0.9756445
|
|
25 DOMAIN:INTERVAL 0.7789589
|
|
26 TEMPORAL_DO:DOMAIN:INTERVAL 0.7789589
|
|
27 INTERVAL_DO:DOMAIN:INTERVAL 0.7789589
|
|
28 TEMPORAL_DO:INTERVAL_DO:DOMAIN:INTERVAL 0.7789589
|
|
29 TIME:DOMAIN:INTERVAL 0.8745913
|
|
30 TEMPORAL_DO:TIME:DOMAIN:INTERVAL 0.8745913
|
|
31 INTERVAL_DO:TIME:DOMAIN:INTERVAL 0.8745913
|
|
32 TEMPORAL_DO:INTERVAL_DO:TIME:DOMAIN:INTERVAL 0.8745913
|
|
p p<.05
|
|
9 0.0746974087572229716869287586
|
|
10 0.0746974087572229716869287586
|
|
11 0.0746974087572229716869287586
|
|
12 0.0746974087572229716869287586
|
|
13 0.0000000000000000006443630462 *
|
|
14 0.0000000000000000006443630462 *
|
|
15 0.0000000000000000006443630462 *
|
|
16 0.0000000000000000006443630462 *
|
|
17 0.0014646459499707610053820250 *
|
|
18 0.0014646459499707610053820250 *
|
|
19 0.0014646459499707610053820250 *
|
|
20 0.0014646459499707610053820250 *
|
|
21 0.0025305704686156976768174331 *
|
|
22 0.0025305704686156976768174331 *
|
|
23 0.0025305704686156976768174331 *
|
|
24 0.0025305704686156976768174331 *
|
|
25 0.0000000000000000000008327933 *
|
|
26 0.0000000000000000000008327933 *
|
|
27 0.0000000000000000000008327933 *
|
|
28 0.0000000000000000000008327933 *
|
|
29 0.0000000001501921980136497106 *
|
|
30 0.0000000001501921980136497106 *
|
|
31 0.0000000001501921980136497106 *
|
|
32 0.0000000001501921980136497106 *
|
|
[1] "\nGreenhouse-Geisser and Huynh-Feldt Corrections:"
|
|
Effect GGe
|
|
9 DOMAIN 0.9894709
|
|
10 TEMPORAL_DO:DOMAIN 0.9894709
|
|
11 INTERVAL_DO:DOMAIN 0.9894709
|
|
12 TEMPORAL_DO:INTERVAL_DO:DOMAIN 0.9894709
|
|
13 INTERVAL 0.8630870
|
|
14 TEMPORAL_DO:INTERVAL 0.8630870
|
|
15 INTERVAL_DO:INTERVAL 0.8630870
|
|
16 TEMPORAL_DO:INTERVAL_DO:INTERVAL 0.8630870
|
|
17 TIME:DOMAIN 0.9741338
|
|
18 TEMPORAL_DO:TIME:DOMAIN 0.9741338
|
|
19 INTERVAL_DO:TIME:DOMAIN 0.9741338
|
|
20 TEMPORAL_DO:INTERVAL_DO:TIME:DOMAIN 0.9741338
|
|
21 TIME:INTERVAL 0.9762236
|
|
22 TEMPORAL_DO:TIME:INTERVAL 0.9762236
|
|
23 INTERVAL_DO:TIME:INTERVAL 0.9762236
|
|
24 TEMPORAL_DO:INTERVAL_DO:TIME:INTERVAL 0.9762236
|
|
25 DOMAIN:INTERVAL 0.8875451
|
|
26 TEMPORAL_DO:DOMAIN:INTERVAL 0.8875451
|
|
27 INTERVAL_DO:DOMAIN:INTERVAL 0.8875451
|
|
28 TEMPORAL_DO:INTERVAL_DO:DOMAIN:INTERVAL 0.8875451
|
|
29 TIME:DOMAIN:INTERVAL 0.9371172
|
|
30 TEMPORAL_DO:TIME:DOMAIN:INTERVAL 0.9371172
|
|
31 INTERVAL_DO:TIME:DOMAIN:INTERVAL 0.9371172
|
|
32 TEMPORAL_DO:INTERVAL_DO:TIME:DOMAIN:INTERVAL 0.9371172
|
|
p[GG] p[GG]<.05
|
|
9 0.00000000000000000000000000000000000878095702043403366407 *
|
|
10 0.53102721370755712193556519196135923266410827636718750000
|
|
11 0.96454613558369939330106035413336940109729766845703125000
|
|
12 0.36700584933971319712142644675623159855604171752929687500
|
|
13 0.00000000000000000000000000000000000000000000000001423011 *
|
|
14 0.94974047551632334585036687712999992072582244873046875000
|
|
15 0.47471969511650258244372935223509557545185089111328125000
|
|
16 0.62411323153516118367178933112882077693939208984375000000
|
|
17 0.64220700026879307120708517686580307781696319580078125000
|
|
18 0.38185330242177406567805064696585759520530700683593750000
|
|
19 0.52725524405891821544400954735465347766876220703125000000
|
|
20 0.43822405490061627775233432657842058688402175903320312500
|
|
21 0.00121306722426379781816507819058870154549367725849151611 *
|
|
22 0.00000000348498192042227194651846100548198137403232976794 *
|
|
23 0.92798416359171342904232915316242724657058715820312500000
|
|
24 0.50409969930842879470844764000503346323966979980468750000
|
|
25 0.00000008159469990521786758597144739724171813577413558960 *
|
|
26 0.56800731349628441613219820283120498061180114746093750000
|
|
27 0.84875678445067226363107693032361567020416259765625000000
|
|
28 0.51496197363380802336507713334867730736732482910156250000
|
|
29 0.34088544045227187062607754342025145888328552246093750000
|
|
30 0.45149296694178431277322260939399711787700653076171875000
|
|
31 0.28291991100553914861848170403391122817993164062500000000
|
|
32 0.57910295605858019829526028843247331678867340087890625000
|
|
HFe p[HF]
|
|
9 0.9934946 0.000000000000000000000000000000000006451264831904605766971
|
|
10 0.9934946 0.531649912402019864110513935884227976202964782714843750000
|
|
11 0.9934946 0.964943684916574118126675330131547525525093078613281250000
|
|
12 0.9934946 0.367263893712653555212455103173851966857910156250000000000
|
|
13 0.8658807 0.000000000000000000000000000000000000000000000000009983715
|
|
14 0.8658807 0.950140740323583976589816302293911576271057128906250000000
|
|
15 0.8658807 0.475152771510257476705874069011770188808441162109375000000
|
|
16 0.8658807 0.624766710949890224924274662043899297714233398437500000000
|
|
17 0.9780012 0.643000131912498607000827632873551920056343078613281250000
|
|
18 0.9780012 0.382143260850359378633100959632429294288158416748046875000
|
|
19 0.9780012 0.527860127804424372754965588683262467384338378906250000000
|
|
20 0.9780012 0.438641734987292086778154498460935428738594055175781250000
|
|
21 0.9801122 0.001193423570738182722811293601239412964787334203720092773
|
|
22 0.9801122 0.000000003271278107664685864605647047653746994910761713982
|
|
23 0.9801122 0.928577702594824749837698618648573756217956542968750000000
|
|
24 0.9801122 0.504659681866748810463718655228149145841598510742187500000
|
|
25 0.8948795 0.000000073184971201024083308286916071949690376641228795052
|
|
26 0.8948795 0.569122361981873936542797309812158346176147460937500000000
|
|
27 0.8948795 0.850266004147786302880263065162580460309982299804687500000
|
|
28 0.8948795 0.515867440527561615937202077475376427173614501953125000000
|
|
29 0.9453077 0.341009526697419074192652033161721192300319671630859375000
|
|
30 0.9453077 0.452137458526167157479846991918748244643211364746093750000
|
|
31 0.9453077 0.282785796339191430881498945382190868258476257324218750000
|
|
32 0.9453077 0.580300791673543203685881053388584405183792114257812500000
|
|
p[HF]<.05
|
|
9 *
|
|
10
|
|
11
|
|
12
|
|
13 *
|
|
14
|
|
15
|
|
16
|
|
17
|
|
18
|
|
19
|
|
20
|
|
21 *
|
|
22 *
|
|
23
|
|
24
|
|
25 *
|
|
26
|
|
27
|
|
28
|
|
29
|
|
30
|
|
31
|
|
32
|
|
[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 INTERVAL 2 972
|
|
6 TEMPORAL_DO:INTERVAL 2 972
|
|
7 INTERVAL_DO:INTERVAL 2 972
|
|
8 TEMPORAL_DO:INTERVAL_DO:INTERVAL 2 972
|
|
9 TIME:DOMAIN 2 972
|
|
10 TEMPORAL_DO:TIME:DOMAIN 2 972
|
|
11 INTERVAL_DO:TIME:DOMAIN 2 972
|
|
12 TEMPORAL_DO:INTERVAL_DO:TIME:DOMAIN 2 972
|
|
13 TIME:INTERVAL 2 972
|
|
14 TEMPORAL_DO:TIME:INTERVAL 2 972
|
|
15 INTERVAL_DO:TIME:INTERVAL 2 972
|
|
16 TEMPORAL_DO:INTERVAL_DO:TIME:INTERVAL 2 972
|
|
17 DOMAIN:INTERVAL 4 1944
|
|
18 TEMPORAL_DO:DOMAIN:INTERVAL 4 1944
|
|
19 INTERVAL_DO:DOMAIN:INTERVAL 4 1944
|
|
20 TEMPORAL_DO:INTERVAL_DO:DOMAIN:INTERVAL 4 1944
|
|
21 TIME:DOMAIN:INTERVAL 4 1944
|
|
22 TEMPORAL_DO:TIME:DOMAIN:INTERVAL 4 1944
|
|
23 INTERVAL_DO:TIME:DOMAIN:INTERVAL 4 1944
|
|
24 TEMPORAL_DO:INTERVAL_DO:TIME:DOMAIN:INTERVAL 4 1944
|
|
GG_DFn GG_DFd HF_DFn HF_DFd GG_epsilon HF_epsilon
|
|
1 1.978942 961.7657 1.986989 965.6768 0.9894709 0.9934946
|
|
2 1.978942 961.7657 1.986989 965.6768 0.9894709 0.9934946
|
|
3 1.978942 961.7657 1.986989 965.6768 0.9894709 0.9934946
|
|
4 1.978942 961.7657 1.986989 965.6768 0.9894709 0.9934946
|
|
5 1.726174 838.9205 1.731761 841.6360 0.8630870 0.8658807
|
|
6 1.726174 838.9205 1.731761 841.6360 0.8630870 0.8658807
|
|
7 1.726174 838.9205 1.731761 841.6360 0.8630870 0.8658807
|
|
8 1.726174 838.9205 1.731761 841.6360 0.8630870 0.8658807
|
|
9 1.948268 946.8581 1.956002 950.6171 0.9741338 0.9780012
|
|
10 1.948268 946.8581 1.956002 950.6171 0.9741338 0.9780012
|
|
11 1.948268 946.8581 1.956002 950.6171 0.9741338 0.9780012
|
|
12 1.948268 946.8581 1.956002 950.6171 0.9741338 0.9780012
|
|
13 1.952447 948.8894 1.960224 952.6691 0.9762236 0.9801122
|
|
14 1.952447 948.8894 1.960224 952.6691 0.9762236 0.9801122
|
|
15 1.952447 948.8894 1.960224 952.6691 0.9762236 0.9801122
|
|
16 1.952447 948.8894 1.960224 952.6691 0.9762236 0.9801122
|
|
17 3.550180 1725.3877 3.579518 1739.6458 0.8875451 0.8948795
|
|
18 3.550180 1725.3877 3.579518 1739.6458 0.8875451 0.8948795
|
|
19 3.550180 1725.3877 3.579518 1739.6458 0.8875451 0.8948795
|
|
20 3.550180 1725.3877 3.579518 1739.6458 0.8875451 0.8948795
|
|
21 3.748469 1821.7559 3.781231 1837.6782 0.9371172 0.9453077
|
|
22 3.748469 1821.7559 3.781231 1837.6782 0.9371172 0.9453077
|
|
23 3.748469 1821.7559 3.781231 1837.6782 0.9371172 0.9453077
|
|
24 3.748469 1821.7559 3.781231 1837.6782 0.9371172 0.9453077
|
|
[1] "\n=== CORRECTED F-TESTS ==="
|
|
[1] "\nBETWEEN-SUBJECTS EFFECTS:"
|
|
[1] "TEMPORAL_DO: F(1, 486) = 0.007, p = 0.935166"
|
|
[1] "INTERVAL_DO: F(1, 486) = 0.001, p = 0.976130"
|
|
[1] "TEMPORAL_DO:INTERVAL_DO: F(1, 486) = 3.126, p = 0.077664"
|
|
[1] "\nWITHIN-SUBJECTS EFFECTS:"
|
|
[1] "TIME: F(1, 486) = 40.323, p = 0.000000 (2 levels, sphericity satisfied)"
|
|
[1] "DOMAIN: F(2, 972) = 88.764, p = 0.000000"
|
|
[1] "INTERVAL: F(2, 972) = 151.851, p = 0.000000"
|
|
[1] "\nINTERACTIONS WITH SPHERICITY CORRECTIONS:"
|
|
[1] "\nDOMAIN:"
|
|
[1] " Original: F(2, 972) = 88.764"
|
|
[1] " GG-corrected: F(1.98, 961.77) = 88.764, p = 0.000000"
|
|
[1] " HF-corrected: F(1.99, 965.68) = 88.764, p = 0.000000"
|
|
[1] "\nTEMPORAL_DO:DOMAIN:"
|
|
[1] " Original: F(2, 972) = 0.630"
|
|
[1] " GG-corrected: F(1.98, 961.77) = 0.630, p = 0.531027"
|
|
[1] " HF-corrected: F(1.99, 965.68) = 0.630, p = 0.531650"
|
|
[1] "\nINTERVAL_DO:DOMAIN:"
|
|
[1] " Original: F(2, 972) = 0.035"
|
|
[1] " GG-corrected: F(1.98, 961.77) = 0.035, p = 0.964546"
|
|
[1] " HF-corrected: F(1.99, 965.68) = 0.035, p = 0.964944"
|
|
[1] "\nTEMPORAL_DO:INTERVAL_DO:DOMAIN:"
|
|
[1] " Original: F(2, 972) = 1.002"
|
|
[1] " GG-corrected: F(1.98, 961.77) = 1.002, p = 0.367006"
|
|
[1] " HF-corrected: F(1.99, 965.68) = 1.002, p = 0.367264"
|
|
[1] "\nINTERVAL:"
|
|
[1] " Original: F(2, 972) = 151.851"
|
|
[1] " GG-corrected: F(1.73, 838.92) = 151.851, p = 0.000000"
|
|
[1] " HF-corrected: F(1.73, 841.64) = 151.851, p = 0.000000"
|
|
[1] "\nTEMPORAL_DO:INTERVAL:"
|
|
[1] " Original: F(2, 972) = 0.035"
|
|
[1] " GG-corrected: F(1.73, 838.92) = 0.035, p = 0.949740"
|
|
[1] " HF-corrected: F(1.73, 841.64) = 0.035, p = 0.950141"
|
|
[1] "\nINTERVAL_DO:INTERVAL:"
|
|
[1] " Original: F(2, 972) = 0.705"
|
|
[1] " GG-corrected: F(1.73, 838.92) = 0.705, p = 0.474720"
|
|
[1] " HF-corrected: F(1.73, 841.64) = 0.705, p = 0.475153"
|
|
[1] "\nTEMPORAL_DO:INTERVAL_DO:INTERVAL:"
|
|
[1] " Original: F(2, 972) = 0.425"
|
|
[1] " GG-corrected: F(1.73, 838.92) = 0.425, p = 0.624113"
|
|
[1] " HF-corrected: F(1.73, 841.64) = 0.425, p = 0.624767"
|
|
[1] "\nTIME:DOMAIN:"
|
|
[1] " Original: F(2, 972) = 0.435"
|
|
[1] " GG-corrected: F(1.95, 946.86) = 0.435, p = 0.642207"
|
|
[1] " HF-corrected: F(1.96, 950.62) = 0.435, p = 0.643000"
|
|
[1] "\nTEMPORAL_DO:TIME:DOMAIN:"
|
|
[1] " Original: F(2, 972) = 0.959"
|
|
[1] " GG-corrected: F(1.95, 946.86) = 0.959, p = 0.381853"
|
|
[1] " HF-corrected: F(1.96, 950.62) = 0.959, p = 0.382143"
|
|
[1] "\nINTERVAL_DO:TIME:DOMAIN:"
|
|
[1] " Original: F(2, 972) = 0.633"
|
|
[1] " GG-corrected: F(1.95, 946.86) = 0.633, p = 0.527255"
|
|
[1] " HF-corrected: F(1.96, 950.62) = 0.633, p = 0.527860"
|
|
[1] "\nTEMPORAL_DO:INTERVAL_DO:TIME:DOMAIN:"
|
|
[1] " Original: F(2, 972) = 0.819"
|
|
[1] " GG-corrected: F(1.95, 946.86) = 0.819, p = 0.438224"
|
|
[1] " HF-corrected: F(1.96, 950.62) = 0.819, p = 0.438642"
|
|
[1] "\nTIME:INTERVAL:"
|
|
[1] " Original: F(2, 972) = 6.862"
|
|
[1] " GG-corrected: F(1.95, 948.89) = 6.862, p = 0.001213"
|
|
[1] " HF-corrected: F(1.96, 952.67) = 6.862, p = 0.001193"
|
|
[1] "\nTEMPORAL_DO:TIME:INTERVAL:"
|
|
[1] " Original: F(2, 972) = 20.273"
|
|
[1] " GG-corrected: F(1.95, 948.89) = 20.273, p = 0.000000"
|
|
[1] " HF-corrected: F(1.96, 952.67) = 20.273, p = 0.000000"
|
|
[1] "\nINTERVAL_DO:TIME:INTERVAL:"
|
|
[1] " Original: F(2, 972) = 0.071"
|
|
[1] " GG-corrected: F(1.95, 948.89) = 0.071, p = 0.927984"
|
|
[1] " HF-corrected: F(1.96, 952.67) = 0.071, p = 0.928578"
|
|
[1] "\nTEMPORAL_DO:INTERVAL_DO:TIME:INTERVAL:"
|
|
[1] " Original: F(2, 972) = 0.679"
|
|
[1] " GG-corrected: F(1.95, 948.89) = 0.679, p = 0.504100"
|
|
[1] " HF-corrected: F(1.96, 952.67) = 0.679, p = 0.504660"
|
|
[1] "\nDOMAIN:INTERVAL:"
|
|
[1] " Original: F(4, 1944) = 10.651"
|
|
[1] " GG-corrected: F(3.55, 1725.39) = 10.651, p = 0.000000"
|
|
[1] " HF-corrected: F(3.58, 1739.65) = 10.651, p = 0.000000"
|
|
[1] "\nTEMPORAL_DO:DOMAIN:INTERVAL:"
|
|
[1] " Original: F(4, 1944) = 0.711"
|
|
[1] " GG-corrected: F(3.55, 1725.39) = 0.711, p = 0.568007"
|
|
[1] " HF-corrected: F(3.58, 1739.65) = 0.711, p = 0.569122"
|
|
[1] "\nINTERVAL_DO:DOMAIN:INTERVAL:"
|
|
[1] " Original: F(4, 1944) = 0.312"
|
|
[1] " GG-corrected: F(3.55, 1725.39) = 0.312, p = 0.848757"
|
|
[1] " HF-corrected: F(3.58, 1739.65) = 0.312, p = 0.850266"
|
|
[1] "\nTEMPORAL_DO:INTERVAL_DO:DOMAIN:INTERVAL:"
|
|
[1] " Original: F(4, 1944) = 0.795"
|
|
[1] " GG-corrected: F(3.55, 1725.39) = 0.795, p = 0.514962"
|
|
[1] " HF-corrected: F(3.58, 1739.65) = 0.795, p = 0.515867"
|
|
[1] "\nTIME:DOMAIN:INTERVAL:"
|
|
[1] " Original: F(4, 1944) = 1.127"
|
|
[1] " GG-corrected: F(3.75, 1821.76) = 1.127, p = 0.340885"
|
|
[1] " HF-corrected: F(3.78, 1837.68) = 1.127, p = 0.341010"
|
|
[1] "\nTEMPORAL_DO:TIME:DOMAIN:INTERVAL:"
|
|
[1] " Original: F(4, 1944) = 0.911"
|
|
[1] " GG-corrected: F(3.75, 1821.76) = 0.911, p = 0.451493"
|
|
[1] " HF-corrected: F(3.78, 1837.68) = 0.911, p = 0.452137"
|
|
[1] "\nINTERVAL_DO:TIME:DOMAIN:INTERVAL:"
|
|
[1] " Original: F(4, 1944) = 1.264"
|
|
[1] " GG-corrected: F(3.75, 1821.76) = 1.264, p = 0.282920"
|
|
[1] " HF-corrected: F(3.78, 1837.68) = 1.264, p = 0.282786"
|
|
[1] "\nTEMPORAL_DO:INTERVAL_DO:TIME:DOMAIN:INTERVAL:"
|
|
[1] " Original: F(4, 1944) = 0.706"
|
|
[1] " GG-corrected: F(3.75, 1821.76) = 0.706, p = 0.579103"
|
|
[1] " HF-corrected: F(3.78, 1837.68) = 0.706, p = 0.580301"
|
|
[1] "\n=== EFFECT SIZES (GENERALIZED ETA SQUARED) ==="
|
|
[1] "Generalized Eta Squared:"
|
|
Effect ges
|
|
1 (Intercept) 0.53236
|
|
2 TEMPORAL_DO 0.00001
|
|
3 INTERVAL_DO 0.00000
|
|
5 TIME 0.00736
|
|
9 DOMAIN 0.02520
|
|
13 INTERVAL 0.02311
|
|
4 TEMPORAL_DO:INTERVAL_DO 0.00267
|
|
6 TEMPORAL_DO:TIME 0.00024
|
|
7 INTERVAL_DO:TIME 0.00002
|
|
10 TEMPORAL_DO:DOMAIN 0.00018
|
|
11 INTERVAL_DO:DOMAIN 0.00001
|
|
14 TEMPORAL_DO:INTERVAL 0.00001
|
|
15 INTERVAL_DO:INTERVAL 0.00011
|
|
17 TIME:DOMAIN 0.00006
|
|
21 TIME:INTERVAL 0.00071
|
|
25 DOMAIN:INTERVAL 0.00183
|
|
8 TEMPORAL_DO:INTERVAL_DO:TIME 0.00008
|
|
12 TEMPORAL_DO:INTERVAL_DO:DOMAIN 0.00029
|
|
16 TEMPORAL_DO:INTERVAL_DO:INTERVAL 0.00007
|
|
18 TEMPORAL_DO:TIME:DOMAIN 0.00014
|
|
19 INTERVAL_DO:TIME:DOMAIN 0.00009
|
|
22 TEMPORAL_DO:TIME:INTERVAL 0.00209
|
|
23 INTERVAL_DO:TIME:INTERVAL 0.00001
|
|
26 TEMPORAL_DO:DOMAIN:INTERVAL 0.00012
|
|
27 INTERVAL_DO:DOMAIN:INTERVAL 0.00005
|
|
29 TIME:DOMAIN:INTERVAL 0.00017
|
|
20 TEMPORAL_DO:INTERVAL_DO:TIME:DOMAIN 0.00012
|
|
24 TEMPORAL_DO:INTERVAL_DO:TIME:INTERVAL 0.00007
|
|
28 TEMPORAL_DO:INTERVAL_DO:DOMAIN:INTERVAL 0.00014
|
|
30 TEMPORAL_DO:TIME:DOMAIN:INTERVAL 0.00013
|
|
31 INTERVAL_DO:TIME:DOMAIN:INTERVAL 0.00019
|
|
32 TEMPORAL_DO:INTERVAL_DO:TIME:DOMAIN:INTERVAL 0.00010
|
|
[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 0.768 0.0213 688 0.726 0.810
|
|
Future 0.653 0.0213 688 0.612 0.695
|
|
|
|
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 0.114 0.018 486 6.350 <.0001
|
|
|
|
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 0.628 0.0224 829 0.584 0.672
|
|
Personality 0.861 0.0224 829 0.817 0.905
|
|
Values 0.643 0.0224 829 0.599 0.687
|
|
|
|
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 -0.2335 0.0196 972 -11.912 <.0001
|
|
Preferences - Values -0.0154 0.0196 972 -0.788 1.0000
|
|
Personality - Values 0.2181 0.0196 972 11.125 <.0001
|
|
|
|
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 0.729 0.021 670 0.688 0.770
|
|
10 0.825 0.021 670 0.784 0.867
|
|
5_10 0.578 0.021 670 0.536 0.619
|
|
|
|
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
|
|
5 - 10 -0.0966 0.0143 972 -6.735 <.0001
|
|
5 - 5_10 0.1513 0.0143 972 10.552 <.0001
|
|
10 - 5_10 0.2479 0.0143 972 17.287 <.0001
|
|
|
|
Results are averaged over the levels of: TEMPORAL_DO, INTERVAL_DO, TIME, DOMAIN
|
|
P value adjustment: bonferroni method for 3 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 0.00316 0.0388 486 0.081 0.9352
|
|
|
|
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 0.00116 0.0388 486 0.030 0.9761
|
|
|
|
Results are averaged over the levels of: TEMPORAL_DO, TIME, DOMAIN, INTERVAL
|
|
[1] "\n=== COHEN'S D FOR MAIN EFFECTS ==="
|
|
[1] "\n=== COHEN'S D FOR TIME MAIN EFFECT ==="
|
|
[1] "TIME main effect contrast:"
|
|
contrast estimate SE df t.ratio p.value
|
|
Past - Future 0.1142276 0.01798846 486 6.350 <.0001
|
|
|
|
Results are averaged over the levels of: TEMPORAL_DO, INTERVAL_DO, DOMAIN, INTERVAL
|
|
[1] "\nCohen's d for TIME main effect:"
|
|
[1] "Past vs Future: n1 = 4410, n2 = 4410"
|
|
[1] "Cohen's d: 0.16649"
|
|
[1] "Effect size interpretation: negligible"
|
|
[1] "p-value: 0.00000"
|
|
[1] "\n=== COHEN'S D FOR DOMAIN MAIN EFFECT ==="
|
|
[1] "DOMAIN main effect contrasts:"
|
|
contrast estimate SE df t.ratio p.value
|
|
Preferences - Personality -0.23354947 0.01960542 972 -11.912 <.0001
|
|
Preferences - Values -0.01543953 0.01960542 972 -0.788 1.0000
|
|
Personality - Values 0.21810994 0.01960542 972 11.125 <.0001
|
|
|
|
Results are averaged over the levels of: TEMPORAL_DO, INTERVAL_DO, TIME, INTERVAL
|
|
P value adjustment: bonferroni method for 3 tests
|
|
[1] "\nCohen's d for significant DOMAIN contrasts:"
|
|
[1] "Comparison: Preferences - Personality"
|
|
[1] " n1 = 2940, n2 = 2940"
|
|
[1] " Cohen's d: -0.34313"
|
|
[1] " Effect size interpretation: small"
|
|
[1] " p-value: 0.00000"
|
|
[1] ""
|
|
[1] "Comparison: Personality - Values"
|
|
[1] " n1 = 2940, n2 = 2940"
|
|
[1] " Cohen's d: 0.31725"
|
|
[1] " Effect size interpretation: small"
|
|
[1] " p-value: 0.00000"
|
|
[1] ""
|
|
[1] "\n=== COHEN'S D FOR INTERVAL MAIN EFFECT ==="
|
|
[1] "INTERVAL main effect contrasts:"
|
|
contrast estimate SE df t.ratio p.value
|
|
5 - 10 -0.09657529 0.01433895 972 -6.735 <.0001
|
|
5 - 5_10 0.15130424 0.01433895 972 10.552 <.0001
|
|
10 - 5_10 0.24787953 0.01433895 972 17.287 <.0001
|
|
|
|
Results are averaged over the levels of: TEMPORAL_DO, INTERVAL_DO, TIME, DOMAIN
|
|
P value adjustment: bonferroni method for 3 tests
|
|
[1] "\nCohen's d for significant INTERVAL contrasts:"
|
|
[1] "Comparison: 5 - 10"
|
|
[1] " n1 = 2940, n2 = 2940"
|
|
[1] " Cohen's d: -0.13847"
|
|
[1] " Effect size interpretation: negligible"
|
|
[1] " p-value: 0.00000"
|
|
[1] ""
|
|
[1] "Comparison: 5 - 5_10"
|
|
[1] " n1 = 2940, n2 = 2940"
|
|
[1] " Cohen's d: 0.23269"
|
|
[1] " Effect size interpretation: small"
|
|
[1] " p-value: 0.00000"
|
|
[1] ""
|
|
[1] "Comparison: 10 - 5_10"
|
|
[1] " n1 = 2940, n2 = 2940"
|
|
[1] " Cohen's d: 0.36607"
|
|
[1] " Effect size interpretation: small"
|
|
[1] " p-value: 0.00000"
|
|
[1] ""
|
|
[1] "\n=== INTERACTION EXPLORATIONS ==="
|
|
[1] "Significant interactions found:"
|
|
Effect p
|
|
15 TIME:INTERVAL 0.001097858070070
|
|
16 DOMAIN:INTERVAL 0.000000015427828
|
|
22 TEMPORAL_DO:TIME:INTERVAL 0.000000002366928
|
|
[1] "\n=== TIME × INTERVAL INTERACTION (SIGNIFICANT) ==="
|
|
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 0.762 0.0238 1053 0.716 0.809
|
|
Future 5 0.695 0.0238 1053 0.649 0.742
|
|
Past 10 0.888 0.0238 1053 0.841 0.934
|
|
Future 10 0.763 0.0238 1053 0.716 0.810
|
|
Past 5_10 0.653 0.0238 1053 0.607 0.700
|
|
Future 5_10 0.502 0.0238 1053 0.455 0.549
|
|
|
|
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
|
|
5 - 10 -0.1254 0.0185 1867 -6.783 <.0001
|
|
5 - 5_10 0.1090 0.0185 1867 5.897 <.0001
|
|
10 - 5_10 0.2344 0.0185 1867 12.680 <.0001
|
|
|
|
TIME = Future:
|
|
contrast estimate SE df t.ratio p.value
|
|
5 - 10 -0.0678 0.0185 1867 -3.666 0.0008
|
|
5 - 5_10 0.1936 0.0185 1867 10.474 <.0001
|
|
10 - 5_10 0.2614 0.0185 1867 14.140 <.0001
|
|
|
|
Results are averaged over the levels of: TEMPORAL_DO, INTERVAL_DO, DOMAIN
|
|
P value adjustment: bonferroni method for 3 tests
|
|
[1] "\nSimple Effects of TIME within each INTERVAL:"
|
|
INTERVAL = 5:
|
|
contrast estimate SE df t.ratio p.value
|
|
Past - Future 0.0668 0.0225 1023 2.973 0.0030
|
|
|
|
INTERVAL = 10:
|
|
contrast estimate SE df t.ratio p.value
|
|
Past - Future 0.1244 0.0225 1023 5.538 <.0001
|
|
|
|
INTERVAL = 5_10:
|
|
contrast estimate SE df t.ratio p.value
|
|
Past - Future 0.1514 0.0225 1023 6.738 <.0001
|
|
|
|
Results are averaged over the levels of: TEMPORAL_DO, INTERVAL_DO, DOMAIN
|
|
[1] "\n=== DOMAIN × INTERVAL INTERACTION (SIGNIFICANT) ==="
|
|
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 0.616 0.0254 1342 0.566 0.666
|
|
Personality 5 0.923 0.0254 1342 0.873 0.973
|
|
Values 5 0.647 0.0254 1342 0.597 0.697
|
|
Preferences 10 0.744 0.0254 1342 0.694 0.793
|
|
Personality 10 0.984 0.0254 1342 0.935 1.034
|
|
Values 10 0.748 0.0254 1342 0.699 0.798
|
|
Preferences 5_10 0.523 0.0254 1342 0.473 0.573
|
|
Personality 5_10 0.676 0.0254 1342 0.626 0.726
|
|
Values 5_10 0.534 0.0254 1342 0.484 0.583
|
|
|
|
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
|
|
5 - 10 -0.1274 0.0208 2676 -6.122 <.0001
|
|
5 - 5_10 0.0930 0.0208 2676 4.466 <.0001
|
|
10 - 5_10 0.2204 0.0208 2676 10.587 <.0001
|
|
|
|
DOMAIN = Personality:
|
|
contrast estimate SE df t.ratio p.value
|
|
5 - 10 -0.0611 0.0208 2676 -2.936 0.0101
|
|
5 - 5_10 0.2474 0.0208 2676 11.886 <.0001
|
|
10 - 5_10 0.3085 0.0208 2676 14.821 <.0001
|
|
|
|
DOMAIN = Values:
|
|
contrast estimate SE df t.ratio p.value
|
|
5 - 10 -0.1012 0.0208 2676 -4.862 <.0001
|
|
5 - 5_10 0.1136 0.0208 2676 5.456 <.0001
|
|
10 - 5_10 0.2148 0.0208 2676 10.318 <.0001
|
|
|
|
Results are averaged over the levels of: TEMPORAL_DO, INTERVAL_DO, TIME
|
|
P value adjustment: bonferroni method for 3 tests
|
|
[1] "\nSimple Effects of DOMAIN within each INTERVAL:"
|
|
INTERVAL = 5:
|
|
contrast estimate SE df t.ratio p.value
|
|
Preferences - Personality -0.30714 0.0247 2097 -12.415 <.0001
|
|
Preferences - Values -0.03105 0.0247 2097 -1.255 0.6287
|
|
Personality - Values 0.27608 0.0247 2097 11.160 <.0001
|
|
|
|
INTERVAL = 10:
|
|
contrast estimate SE df t.ratio p.value
|
|
Preferences - Personality -0.24082 0.0247 2097 -9.734 <.0001
|
|
Preferences - Values -0.00483 0.0247 2097 -0.195 1.0000
|
|
Personality - Values 0.23599 0.0247 2097 9.539 <.0001
|
|
|
|
INTERVAL = 5_10:
|
|
contrast estimate SE df t.ratio p.value
|
|
Preferences - Personality -0.15269 0.0247 2097 -6.172 <.0001
|
|
Preferences - Values -0.01044 0.0247 2097 -0.422 1.0000
|
|
Personality - Values 0.14226 0.0247 2097 5.750 <.0001
|
|
|
|
Results are averaged over the levels of: TEMPORAL_DO, INTERVAL_DO, TIME
|
|
P value adjustment: bonferroni method for 3 tests
|
|
[1] "\n=== ANALYSIS COMPLETE ==="
|
|
[1] "Mixed ANOVA analysis with three within-subjects factors (TIME, DOMAIN, INTERVAL)"
|
|
[1] "and two between-subjects factors (TEMPORAL_DO, INTERVAL_DO) completed."
|
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[1] "Check the results above for significant effects and perform additional"
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[1] "interaction analyses as needed based on the significance patterns."
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