estimate_magnitude.md
In esci: Estimation Statistics with Confidence Intervals

estimate_magnitude of pen group from ESCI_summary_two: summary data, 95% CI

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.

estimate_magnitude of pen group from ESCI_summary_two: summary data, 99% CI

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.

Compare estimate_magnitude to statpsych::ci.mean example

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.