Code
estimate
Output
Analysis of raw data:
Data frame = data
Outcome variable(s) = transcription
---Overview---
outcome_variable_name mean mean_LL mean_UL median median_LL median_UL
1 transcription 8.811765 7.154642 10.46889 8.6 6.5 11.1
sd min max q1 q3 n missing df mean_SE median_SE
1 4.749339 1 20.1 5.2 11.275 34 0 33 0.8145049 1.021201
-- es_mean --
outcome_variable_name effect effect_size LL UL SE
1 transcription transcription 8.811765 7.154642 10.46889 0.8145049
df ta_LL ta_UL
1 33 7.746606 9.876923
-- es_median --
outcome_variable_name effect effect_size LL UL SE df ta_LL
1 transcription transcription 8.6 6.5 11.1 1.021201 33 7.1
ta_UL
1 10.8
Note: LL and UL are lower and upper boundaries of confidence intervals with 95% expected coverage.
Code
estimate
Output
Analysis of raw data:
Data frame = data
Outcome variable(s) = transcription
---Overview---
outcome_variable_name mean mean_LL mean_UL median median_LL median_UL
1 transcription 8.811765 6.585497 11.03803 8.6 5.2 11.3
sd min max q1 q3 n missing df mean_SE median_SE
1 4.749339 1 20.1 5.2 11.275 34 0 33 0.8145049 1.021201
-- es_mean --
outcome_variable_name effect effect_size LL UL SE
1 transcription transcription 8.811765 6.585497 11.03803 0.8145049
df ta_LL ta_UL
1 33 7.070224 10.55331
-- es_median --
outcome_variable_name effect effect_size LL UL SE df ta_LL
1 transcription transcription 8.6 5.2 11.3 1.021201 33 5.2
ta_UL
1 11.2
Note: LL and UL are lower and upper boundaries of confidence intervals with 99% expected coverage.
Code
estimate
Output
Analysis of raw data:
Outcome variable(s) = My outcome variable
---Overview---
outcome_variable_name mean mean_LL mean_UL sd n df mean_SE
1 My outcome variable 24.5 23.33267 25.66733 3.65 40 39 0.5771157
-- es_mean --
outcome_variable_name effect effect_size LL UL
1 My outcome variable My outcome variable 24.5 23.33267 25.66733
SE df ta_LL ta_UL
1 0.5771157 39 23.74765 25.25235
Note: LL and UL are lower and upper boundaries of confidence intervals with 95% expected coverage.
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