Code
estimate
Output
Analysis of raw data:
Data frame = structure(list(Pretest = c(60, 26.67, 46.67, 46.67, 33.33, 80,
Outcome variable(s) = My outcome variable, My outcome variable, My outcome variable, My outcome variable, My outcome variable
Grouping variable(s) = Condition - Time
Analysis of raw data:
Data frame = 20, 26.67, 33.33, 6.67, 40, 6.67, 26.67, 20, 46.67, 6.67, 33.33,
Outcome variable(s) = My outcome variable, My outcome variable, My outcome variable, My outcome variable, My outcome variable
Grouping variable(s) = Condition - Time
Analysis of raw data:
Data frame = 33.33, 53.33, 46.67, 33.33, 46.67, 80, 60, 20, 46.67, 53.33,
Outcome variable(s) = My outcome variable, My outcome variable, My outcome variable, My outcome variable, My outcome variable
Grouping variable(s) = Condition - Time
Analysis of raw data:
Data frame = 33.33, 46.67, 66.67, 80, 40, 33.33, 6.67, 6.67, 60, 20, 6.67,
Outcome variable(s) = My outcome variable, My outcome variable, My outcome variable, My outcome variable, My outcome variable
Grouping variable(s) = Condition - Time
Analysis of raw data:
Data frame = 53.33, 46.67, 26.67, 33.33, 40, 60, 53.33, 40, 6.67, 40, 20,
Outcome variable(s) = My outcome variable, My outcome variable, My outcome variable, My outcome variable, My outcome variable
Grouping variable(s) = Condition - Time
Analysis of raw data:
Data frame = 40, 60, 40), Posttest = c(53.33, 40, 33.33, 26.67, 46.67, 73.33,
Outcome variable(s) = My outcome variable, My outcome variable, My outcome variable, My outcome variable, My outcome variable
Grouping variable(s) = Condition - Time
Analysis of raw data:
Data frame = 46.67, 33.33, 26.67, 20, 46.67, 13.33, 26.67, 26.67, 73.33, 6.67,
Outcome variable(s) = My outcome variable, My outcome variable, My outcome variable, My outcome variable, My outcome variable
Grouping variable(s) = Condition - Time
Analysis of raw data:
Data frame = 40, 46.67, 60, 53.33, 33.33, 53.33, 80, 66.67, 33.33, 33.33,
Outcome variable(s) = My outcome variable, My outcome variable, My outcome variable, My outcome variable, My outcome variable
Grouping variable(s) = Condition - Time
Analysis of raw data:
Data frame = 86.67, 33.33, 66.67, 66.67, 80, 40, 66.67, 20, 40, 60, 33.33,
Outcome variable(s) = My outcome variable, My outcome variable, My outcome variable, My outcome variable, My outcome variable
Grouping variable(s) = Condition - Time
Analysis of raw data:
Data frame = 26.67, 46.67, 60, 93.33, 73.33, 53.33, 73.33, 73.33, 53.33, 0,
Outcome variable(s) = My outcome variable, My outcome variable, My outcome variable, My outcome variable, My outcome variable
Grouping variable(s) = Condition - Time
Analysis of raw data:
Data frame = 66.67, 60, 33.33, 86.67, 33.33), Condition = structure(c(1L,
Outcome variable(s) = My outcome variable, My outcome variable, My outcome variable, My outcome variable, My outcome variable
Grouping variable(s) = Condition - Time
Analysis of raw data:
Data frame = 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
Outcome variable(s) = My outcome variable, My outcome variable, My outcome variable, My outcome variable, My outcome variable
Grouping variable(s) = Condition - Time
Analysis of raw data:
Data frame = 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L,
Outcome variable(s) = My outcome variable, My outcome variable, My outcome variable, My outcome variable, My outcome variable
Grouping variable(s) = Condition - Time
Analysis of raw data:
Data frame = 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
Outcome variable(s) = My outcome variable, My outcome variable, My outcome variable, My outcome variable, My outcome variable
Grouping variable(s) = Condition - Time
Analysis of raw data:
Data frame = 2L, 2L, 2L), levels = c("More Practice", "Self-Explain"), class = "factor"),
Outcome variable(s) = My outcome variable, My outcome variable, My outcome variable, My outcome variable, My outcome variable
Grouping variable(s) = Condition - Time
Analysis of raw data:
Data frame = esci_ov = c(56.665, 33.335, 40, 36.67, 40, 76.665, 33.335,
Outcome variable(s) = My outcome variable, My outcome variable, My outcome variable, My outcome variable, My outcome variable
Grouping variable(s) = Condition - Time
Analysis of raw data:
Data frame = 30, 30, 13.335, 43.335, 10, 26.67, 23.335, 60, 6.67, 36.665,
Outcome variable(s) = My outcome variable, My outcome variable, My outcome variable, My outcome variable, My outcome variable
Grouping variable(s) = Condition - Time
Analysis of raw data:
Data frame = 40, 56.665, 50, 33.33, 50, 80, 63.335, 26.665, 40, 70, 33.33,
Outcome variable(s) = My outcome variable, My outcome variable, My outcome variable, My outcome variable, My outcome variable
Grouping variable(s) = Condition - Time
Analysis of raw data:
Data frame = 56.67, 66.67, 80, 40, 50, 13.335, 23.335, 60, 26.665, 16.67,
Outcome variable(s) = My outcome variable, My outcome variable, My outcome variable, My outcome variable, My outcome variable
Grouping variable(s) = Condition - Time
Analysis of raw data:
Data frame = 50, 53.335, 60, 53.33, 46.665, 66.665, 63.33, 46.665, 3.335,
Outcome variable(s) = My outcome variable, My outcome variable, My outcome variable, My outcome variable, My outcome variable
Grouping variable(s) = Condition - Time
Analysis of raw data:
Data frame = 53.335, 40, 36.665, 73.335, 36.665)), row.names = c(NA, 52L
Outcome variable(s) = My outcome variable, My outcome variable, My outcome variable, My outcome variable, My outcome variable
Grouping variable(s) = Condition - Time
Analysis of raw data:
Data frame = ), class = "data.frame")
Outcome variable(s) = My outcome variable, My outcome variable, My outcome variable, My outcome variable, My outcome variable
Grouping variable(s) = Condition - Time
---Overview---
outcome_variable_name grouping_variable_name grouping_variable_level
1 My outcome variable Condition More Practice - Pretest
3 My outcome variable Condition More Practice - Posttest
2 My outcome variable Condition Self-Explain - Pretest
4 My outcome variable Condition Self-Explain - Posttest
mean mean_LL mean_UL median median_LL median_UL sd min max
1 40.64581 33.21927 48.07234 40.00 33.99612 46.00388 20.24667 6.67 80.00
3 46.02161 38.40936 53.63386 46.67 37.66868 55.67132 20.75297 6.67 86.67
2 34.92095 26.67178 43.17013 40.00 28.21255 51.78745 18.12230 6.67 60.00
4 52.06286 41.56735 62.55836 53.33 38.59458 68.06542 23.05719 0.00 93.33
q1 q3 n missing df mean_SE median_SE grouping_variable_A_name
1 26.67 50.000 31 0 30 3.636409 3.063261 Condition
3 33.33 63.335 31 0 30 3.727343 4.592595 Condition
2 20.00 46.670 21 0 20 3.954611 6.014115 Condition
4 33.33 66.670 21 0 20 5.031492 7.518207 Condition
grouping_variable_B_name grouping_variable_A_level grouping_variable_B_level
1 Time More Practice Pretest
3 Time More Practice Posttest
2 Time Self-Explain Pretest
4 Time Self-Explain Posttest
-- es_mean_difference --
type outcome_variable_name grouping_variable_name
1 Comparison My outcome variable Condition
2 Reference My outcome variable Condition
3 Difference My outcome variable Condition
4 Comparison My outcome variable Time
5 Reference My outcome variable Time
6 Difference My outcome variable Time
7 Comparison My outcome variable Time
8 Reference My outcome variable Time
9 Difference My outcome variable Time
10 Comparison My outcome variable Time
11 Reference My outcome variable Time
12 Difference My outcome variable Time
13 Comparison My outcome variable Interaction
14 Reference My outcome variable Interaction
15 Difference My outcome variable Interaction
effect effect_size LL UL
1 Self-Explain 43.4919048 35.092318 51.891491
2 More Practice 43.3337097 36.134882 50.532537
3 Difference 0.1581951 -10.621499 10.937889
4 Posttest 49.0422350 42.714312 55.370159
5 Pretest 37.7833794 32.376783 43.189975
6 Difference 11.2588556 6.518621 15.999090
7 Posttest 52.0628571 41.567349 62.558365
8 Pretest 34.9209524 26.671779 43.170126
9 Difference 17.1419048 8.528143 25.755667
10 Posttest 46.0216129 38.409363 53.633862
11 Pretest 40.6458065 33.219269 48.072344
12 Difference 5.3758065 1.027574 9.724039
13 Simple effect of Time at Self-Explain 17.1419048 8.528143 25.755667
14 Simple effect of Time at More Practice 5.3758065 1.027574 9.724039
15 Difference of differences 11.7660983 2.285629 21.246568
SE df ta_LL ta_UL
1 4.026718 20.00000 36.546951 50.436859
2 3.524911 30.00000 37.351017 49.316402
3 5.351584 44.84162 -8.830069 9.146459
4 3.130854 39.95316 43.770196 54.314274
5 2.686188 46.13257 33.274449 42.292310
6 2.322984 30.60522 7.318628 15.199083
7 5.031492 20.00000 43.384952 60.740763
8 3.954611 20.00000 28.100363 41.741542
9 4.129393 20.00000 10.019866 24.263943
10 3.727343 30.00000 39.695340 52.347886
11 3.636409 30.00000 34.473872 46.817741
12 2.129115 30.00000 1.762143 8.989470
13 4.129393 20.00000 10.019866 24.263943
14 2.129115 30.00000 1.762143 8.989470
15 4.645967 30.60522 3.885643 19.646553
effect_type
1 Main effect of Condition
2 Main effect of Condition
3 Main effect of Condition
4 Main effect of Time
5 Main effect of Time
6 Main effect of Time
7 Simple effect of Time at Condition: Self-Explain
8 Simple effect of Time at Condition: Self-Explain
9 Simple effect of Time at Condition: Self-Explain
10 Simple effect of Time at Condition: More Practice
11 Simple effect of Time at Condition: More Practice
12 Simple effect of Time at Condition: More Practice
13 Interaction of Condition and Time
14 Interaction of Condition and Time
15 Interaction of Condition and Time
effects_complex t p
1 Self-Explain NA NA
2 More Practice NA NA
3 Self-Explain ‒ More Practice 0.02956042 9.765488e-01
4 Posttest NA NA
5 Pretest NA NA
6 Posttest ‒ Pretest 4.84672173 3.429798e-05
7 Self-Explain: Posttest NA NA
8 Self-Explain: Pretest NA NA
9 Self-Explain: Posttest ‒ Pretest 4.15119285 4.939971e-04
10 More Practice: Posttest NA NA
11 More Practice: Pretest NA NA
12 More Practice: Posttest ‒ Pretest 2.52490193 1.709441e-02
13 Self-Explain: Posttest ‒ Pretest 4.15119285 4.939971e-04
14 More Practice: Posttest ‒ Pretest 2.52490193 1.709441e-02
15 Difference of differences 2.53254000 1.667635e-02
[1] "Variances are not assumed equal."
-- es_median_difference --
type outcome_variable_name grouping_variable_name
1 Comparison My outcome variable Condition
2 Reference My outcome variable Condition
3 Difference My outcome variable Condition
4 Comparison My outcome variable Time
5 Reference My outcome variable Time
6 Difference My outcome variable Time
7 Comparison My outcome variable Time
8 Reference My outcome variable Time
9 Difference My outcome variable Time
10 Comparison My outcome variable Time
11 Reference My outcome variable Time
12 Difference My outcome variable Time
13 Comparison My outcome variable Interaction
14 Reference My outcome variable Interaction
15 Difference My outcome variable Interaction
effect effect_size LL UL
1 Self-Explain 46.665 37.2300064 56.09999
2 More Practice 43.335 37.9250472 48.74495
3 Difference 3.330 -6.7990095 13.45901
4 Posttest 50.000 41.3663993 58.63360
5 Pretest 40.000 33.3858007 46.61420
6 Difference 10.000 -1.5748242 21.57482
7 Posttest 53.330 38.5945843 68.06542
8 Pretest 40.000 28.2125514 51.78745
9 Difference 13.330 -5.5399873 32.19999
10 Posttest 46.670 37.6686795 55.67132
11 Pretest 40.000 33.9961192 46.00388
12 Difference 6.670 -0.6995937 14.03959
13 Simple effect of Time at Self-Explain 13.330 -5.5399873 32.19999
14 Simple effect of Time at More Practice 6.670 -0.6995937 14.03959
15 Difference of differences 6.660 -13.5980189 26.91802
SE ta_LL ta_UL
1 4.813861 38.7469037 54.58310
2 2.760231 38.7948245 47.87518
3 5.167957 -5.1705327 11.83053
4 4.404979 42.7544539 57.24555
5 3.374653 34.4491890 45.55081
6 5.905631 0.2861013 19.71390
7 7.518207 40.9636493 65.69635
8 6.014115 30.1076613 49.89234
9 9.627721 -2.5061925 29.16619
10 4.592595 39.1158537 54.22415
11 3.063261 34.9613844 45.03862
12 3.760066 0.4852420 12.85476
13 9.627721 -2.5061925 29.16619
14 3.760066 0.4852420 12.85476
15 10.335914 -10.3410654 23.66107
effect_type
1 Main effect of Condition
2 Main effect of Condition
3 Main effect of Condition
4 Main effect of Time
5 Main effect of Time
6 Main effect of Time
7 Simple effect of Time at Condition: Self-Explain
8 Simple effect of Time at Condition: Self-Explain
9 Simple effect of Time at Condition: Self-Explain
10 Simple effect of Time at Condition: More Practice
11 Simple effect of Time at Condition: More Practice
12 Simple effect of Time at Condition: More Practice
13 Interaction of Condition and Time
14 Interaction of Condition and Time
15 Interaction of Condition and Time
effects_complex
1 Self-Explain
2 More Practice
3 Self-Explain ‒ More Practice
4 Posttest
5 Pretest
6 Posttest ‒ Pretest
7 Self-Explain: Posttest
8 Self-Explain: Pretest
9 Self-Explain: Posttest ‒ Pretest
10 More Practice: Posttest
11 More Practice: Pretest
12 More Practice: Posttest ‒ Pretest
13 Self-Explain: Posttest ‒ Pretest
14 More Practice: Posttest ‒ Pretest
15 Difference of differences
-- es_smd --
outcome_variable_name grouping_variable_name effect
1 My outcome variable Condition Difference
2 My outcome variable Time Difference
3 My outcome variable Time Difference
4 My outcome variable Time Difference
5 My outcome variable Interaction Difference of differences
effect_size LL UL numerator denominator SE df
1 0.007556428 -0.51177959 0.5271238 0.1581951 20.61956 0.2650312 100
2 0.540648193 0.32014425 0.7719116 11.2588556 20.61956 0.1152489 100
3 0.810291854 0.42913484 1.2335490 17.1419048 20.61956 0.2052115 100
4 0.256331859 0.05498837 0.4664395 5.3758065 20.61956 0.1049639 100
5 0.562025551 0.11886097 1.0223950 11.7660983 20.61956 0.2304976 100
d_biased effect_type
1 0.007672088 Main effect of Condition
2 0.546027909 Main effect of Time
3 0.831341901 Simple effect of Time at Condition: Self-Explain
4 0.260713918 Simple effect of Time at Condition: More Practice
5 0.570627983 Interaction of Condition and Time
effects_complex
1 Self-Explain ‒ More Practice
2 Posttest ‒ Pretest
3 Self-Explain: Posttest ‒ Pretest
4 More Practice: Posttest ‒ Pretest
5 Difference of differences
This standardized mean difference is called d_avg because the standardizer used was s_avg. d_avg has been corrected for bias. Correction for bias can be important when df < 50. See the rightmost column for the biased value.
Note: LL and UL are lower and upper boundaries of confidence intervals with 95% expected coverage.
Code
estimates
Output
Analysis of raw data:
Data frame = structure(list(pretest = c(19, 18, 19, 20, 17, 16, 16, 10, 12,
Outcome variable(s) = My outcome variable, My outcome variable, My outcome variable, My outcome variable, My outcome variable
Grouping variable(s) = Between - Rmeasures
Analysis of raw data:
Data frame = 9, 13, 15), posttest = c(18, 19, 20, 17, 20, 16, 19, 16, 16,
Outcome variable(s) = My outcome variable, My outcome variable, My outcome variable, My outcome variable, My outcome variable
Grouping variable(s) = Between - Rmeasures
Analysis of raw data:
Data frame = 14, 16, 18), Between = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 2L,
Outcome variable(s) = My outcome variable, My outcome variable, My outcome variable, My outcome variable, My outcome variable
Grouping variable(s) = Between - Rmeasures
Analysis of raw data:
Data frame = 2L, 2L, 2L, 2L, 2L), levels = c("B1", "B2"), class = "factor"),
Outcome variable(s) = My outcome variable, My outcome variable, My outcome variable, My outcome variable, My outcome variable
Grouping variable(s) = Between - Rmeasures
Analysis of raw data:
Data frame = esci_ov = c(18.5, 18.5, 19.5, 18.5, 18.5, 16, 17.5, 13, 14,
Outcome variable(s) = My outcome variable, My outcome variable, My outcome variable, My outcome variable, My outcome variable
Grouping variable(s) = Between - Rmeasures
Analysis of raw data:
Data frame = 11.5, 14.5, 16.5)), row.names = c(NA, 12L), class = "data.frame")
Outcome variable(s) = My outcome variable, My outcome variable, My outcome variable, My outcome variable, My outcome variable
Grouping variable(s) = Between - Rmeasures
---Overview---
outcome_variable_name grouping_variable_name grouping_variable_level mean
1 My outcome variable Between B1 - pretest 18.16667
3 My outcome variable Between B1 - posttest 18.33333
2 My outcome variable Between B2 - pretest 12.50000
4 My outcome variable Between B2 - posttest 16.50000
mean_LL mean_UL median median_LL median_UL sd min max q1 q3 n
1 15.743650 20.58968 18.5 16.108190 20.89181 1.471960 16 20 17.25 19.00 6
3 15.645238 21.02143 18.5 16.108190 20.89181 1.632993 16 20 17.25 19.75 6
2 7.991927 17.00807 12.5 8.314333 16.68567 2.738613 9 16 10.50 14.50 6
4 13.601715 19.39829 16.0 13.010238 18.98976 1.760682 14 19 16.00 17.50 6
missing df mean_SE median_SE grouping_variable_A_name
1 0 5 0.6009252 0.9285591 Between
3 0 5 0.6666667 0.9285591 Between
2 0 5 1.1180340 1.6249785 Between
4 0 5 0.7187953 1.1606989 Between
grouping_variable_B_name grouping_variable_A_level grouping_variable_B_level
1 Rmeasures B1 pretest
3 Rmeasures B1 posttest
2 Rmeasures B2 pretest
4 Rmeasures B2 posttest
-- es_mean_difference --
type outcome_variable_name grouping_variable_name
1 Comparison My outcome variable Between
2 Reference My outcome variable Between
3 Difference My outcome variable Between
4 Comparison My outcome variable Rmeasures
5 Reference My outcome variable Rmeasures
6 Difference My outcome variable Rmeasures
7 Comparison My outcome variable Rmeasures
8 Reference My outcome variable Rmeasures
9 Difference My outcome variable Rmeasures
10 Comparison My outcome variable Rmeasures
11 Reference My outcome variable Rmeasures
12 Difference My outcome variable Rmeasures
13 Comparison My outcome variable Interaction
14 Reference My outcome variable Interaction
15 Difference My outcome variable Interaction
effect effect_size LL UL SE
1 B2 14.5000000 10.8561681 18.1438319 0.9036961
2 B1 18.2500000 16.3197585 20.1802415 0.4787136
3 Difference -3.7500000 -7.2343751 -0.2656249 1.0226599
4 posttest 17.4166667 15.8611808 18.9721526 0.4901814
5 pretest 15.3333333 13.1766359 17.4900308 0.6346478
6 Difference 2.0833333 0.4582355 3.7084312 0.4901814
7 posttest 16.5000000 13.6017146 19.3982854 0.7187953
8 pretest 12.5000000 7.9919271 17.0080729 1.1180340
9 Difference 4.0000000 1.9178103 6.0821897 0.5163978
10 posttest 18.3333333 15.6452380 21.0214287 0.6666667
11 pretest 18.1666667 15.7436503 20.5896830 0.6009252
12 Difference 0.1666667 -3.1934525 3.5267858 0.8333333
13 Simple effect of Rmeasures at B2 4.0000000 1.9178103 6.0821897 0.5163978
14 Simple effect of Rmeasures at B1 0.1666667 -3.1934525 3.5267858 0.8333333
15 Difference of differences 3.8333333 0.5831376 7.0835290 0.9803627
df ta_LL ta_UL effect_type
1 5.000000 11.4591258 17.5408742 Main effect of Between
2 5.000000 16.6391624 19.8608376 Main effect of Between
3 7.601289 -6.7495135 -0.7504865 Main effect of Between
4 9.943850 16.0605058 18.7728276 Main effect of Rmeasures
5 7.666363 13.4758689 17.1907977 Main effect of Rmeasures
6 8.346534 0.6774755 3.4891912 Main effect of Rmeasures
7 5.000000 14.0813042 18.9186958 Simple effect of Rmeasures at Between: B2
8 5.000000 8.7378939 16.2621061 Simple effect of Rmeasures at Between: B2
9 5.000000 2.2623576 5.7376424 Simple effect of Rmeasures at Between: B2
10 5.000000 16.0900467 20.5766200 Simple effect of Rmeasures at Between: B1
11 5.000000 16.1445954 20.1887379 Simple effect of Rmeasures at Between: B1
12 5.000000 -2.6374417 2.9707750 Simple effect of Rmeasures at Between: B1
13 5.000000 2.2623576 5.7376424 Interaction of Between and Rmeasures
14 5.000000 -2.6374417 2.9707750 Interaction of Between and Rmeasures
15 8.346534 1.0216176 6.6450491 Interaction of Between and Rmeasures
effects_complex t p
1 B2 NA NA
2 B1 NA NA
3 B2 ‒ B1 -3.666908 0.0069250119
4 posttest NA NA
5 pretest NA NA
6 posttest ‒ pretest 4.250128 0.0025414549
7 B2: posttest NA NA
8 B2: pretest NA NA
9 B2: posttest ‒ pretest 7.745967 0.0005732451
10 B1: posttest NA NA
11 B1: pretest NA NA
12 B1: posttest ‒ pretest 0.200000 0.8493605140
13 B2: posttest ‒ pretest 7.745967 0.0005732451
14 B1: posttest ‒ pretest 0.200000 0.8493605140
15 Difference of differences 3.910117 0.0041247610
[1] "Variances are not assumed equal."
-- es_median_difference --
type outcome_variable_name grouping_variable_name
1 Comparison My outcome variable Between
2 Reference My outcome variable Between
3 Difference My outcome variable Between
4 Comparison My outcome variable Rmeasures
5 Reference My outcome variable Rmeasures
6 Difference My outcome variable Rmeasures
7 Comparison My outcome variable Rmeasures
8 Reference My outcome variable Rmeasures
9 Difference My outcome variable Rmeasures
10 Comparison My outcome variable Rmeasures
11 Reference My outcome variable Rmeasures
12 Difference My outcome variable Rmeasures
13 Comparison My outcome variable Interaction
14 Reference My outcome variable Interaction
15 Difference My outcome variable Interaction
effect effect_size LL UL SE
1 B2 14.25 11.6781093 16.8218907 0.9984710
2 B1 18.50 16.8087351 20.1912649 0.6565905
3 Difference -4.25 -7.7256273 -0.7743727 1.3493236
4 posttest 17.25 15.3356181 19.1643819 0.7432099
5 pretest 15.50 13.0895766 17.9104234 0.9357854
6 Difference 1.75 -0.8710709 4.3710709 1.0175639
7 posttest 16.00 13.0102377 18.9897623 1.1606989
8 pretest 12.50 8.3143328 16.6856672 1.6249785
9 Difference 3.50 -2.2973641 9.2973641 2.2506787
10 posttest 18.50 16.1081902 20.8918098 0.9285591
11 pretest 18.50 16.1081902 20.8918098 0.9285591
12 Difference 0.00 -3.8354283 3.8354283 1.4890072
13 Simple effect of Rmeasures at B2 3.50 -2.2973641 9.2973641 2.2506787
14 Simple effect of Rmeasures at B1 0.00 -3.8354283 3.8354283 1.4890072
15 Difference of differences 3.50 -3.4512546 10.4512546 2.6986472
ta_LL ta_UL effect_type
1 11.9272092 16.572791 Main effect of Between
2 16.9725422 20.027458 Main effect of Between
3 -7.3889961 -1.111004 Main effect of Between
4 15.5210352 18.978965 Main effect of Rmeasures
5 13.3230377 17.676962 Main effect of Rmeasures
6 -0.6172076 4.117208 Main effect of Rmeasures
7 13.2998106 18.700189 Simple effect of Rmeasures at Between: B2
8 8.7197348 16.280265 Simple effect of Rmeasures at Between: B2
9 -1.7358616 8.735862 Simple effect of Rmeasures at Between: B2
10 16.3398485 20.660152 Simple effect of Rmeasures at Between: B1
11 16.3398485 20.660152 Simple effect of Rmeasures at Between: B1
12 -3.4639487 3.463949 Simple effect of Rmeasures at Between: B1
13 -1.7358616 8.735862 Interaction of Between and Rmeasures
14 -3.4639487 3.463949 Interaction of Between and Rmeasures
15 -2.7779923 9.777992 Interaction of Between and Rmeasures
effects_complex
1 B2
2 B1
3 B2 ‒ B1
4 posttest
5 pretest
6 posttest ‒ pretest
7 B2: posttest
8 B2: pretest
9 B2: posttest ‒ pretest
10 B1: posttest
11 B1: pretest
12 B1: posttest ‒ pretest
13 B2: posttest ‒ pretest
14 B1: posttest ‒ pretest
15 Difference of differences
-- es_smd --
outcome_variable_name grouping_variable_name effect
1 My outcome variable Between Difference
2 My outcome variable Rmeasures Difference
3 My outcome variable Rmeasures Difference
4 My outcome variable Rmeasures Difference
5 My outcome variable Interaction Difference of differences
effect_size LL UL numerator denominator SE df
1 -1.76225718 -3.3637051 -0.4545188 -3.7500000 1.964264 0.5647087 20
2 1.01125934 0.3399783 1.7812572 2.0833333 1.964264 0.2797699 20
3 1.82139908 1.2647697 2.8080024 4.0000000 1.964264 0.2995604 20
4 0.07589163 -1.1130248 1.2827236 0.1666667 1.964264 0.4650441 20
5 1.80141845 0.5279724 3.3751009 3.8333333 1.964264 0.5526625 20
d_biased effect_type
1 -1.90911195 Main effect of Between
2 1.06061775 Main effect of Rmeasures
3 2.03638608 Simple effect of Rmeasures at Between: B2
4 0.08484942 Simple effect of Rmeasures at Between: B1
5 1.95153666 Interaction of Between and Rmeasures
effects_complex
1 B2 ‒ B1
2 posttest ‒ pretest
3 B2: posttest ‒ pretest
4 B1: posttest ‒ pretest
5 Difference of differences
This standardized mean difference is called d_avg because the standardizer used was s_avg. d_avg has been corrected for bias. Correction for bias can be important when df < 50. See the rightmost column for the biased value.
Note: LL and UL are lower and upper boundaries of confidence intervals with 99% expected coverage.
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