Description Usage Arguments Details Value See Also Examples
View source: R/ResultsStandardizeR.R
ResutsStandardizeR
Converts any of the following statistics into an
estimate of Cohen's d s, variance, and standard error: difference in means,
difference in differences, t-tests, F-tests, and regression coefficients into
an estimated standard effect size and measure of uncertainty. The function
requires an effect statistic, an estimate of the standard deviation of the
dependent variable, an N for the control group, and an N for the treatment
group. Note: t-tests, F-tests, and standardized regression coefficients do not
require a standard deviation.
1 2 3 4 5 6 7 8 9 | ResultsStandardizeR(
eff_type,
u_s_d,
pop_sd,
n_t,
n_c,
write_to_csv = NULL,
append = NULL
)
|
eff_type |
Write the effect type you are converting. Current options are "d_i_d" (difference-in-differences), "d_i_m" (difference-in-means), "st_reg_coef" (standardized regression coefficient), "reg_coef" (regression coefficient), t_test" (t-test), and "f-test" (f-test). Note: you must include quotes. |
u_s_d |
Unstandardized effect size. |
pop_sd |
Estimate of the population standard deviation for the dependent variable. Not necessary if the effect size is "st_reg_coef" (assumed to be 1), "t_test" or "f_test." |
n_t |
Number of subjects in the treatment group. |
n_c |
Number of subjects in the control group. |
All calculations taken from Cooper, Hedges, and Valentine (2009)
results_table is a dataframe that displays cohen's d, variance, and standard error.
Cooper, Hedges, and Valentine (2009), "The Handbook of Research Synthesis and Meta-Analysis, Second Edition", chapter 12.
1 2 3 4 5 6 | ```ResultsStandardizeR(eff_type = "reg_coef",
u_s_d = .366, pop_sd = 1.074,
n_t = 35, n_c = 1036)```
```ResultsStandardizeR(eff_type = "d_i_d" ,
u_s_d = (111.1 - 92.7) - (102.9 - 99.4) ,
ctrl_sd = 28.28, n_t = 15, n_c = 15)```
|
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