d.ind.t.t | R Documentation |
This function displays d for between subjects data and the non-central confidence interval estimating from the t-statistic.
d.ind.t.t(t, n1, n2, a = 0.05)
t |
t-test value |
n1 |
sample size group one |
n2 |
sample size group two |
a |
significance level |
To calculate d, the t-statistic is multiplied by two then divided by the square root of the degrees of freedom.
d_s = 2 * t / sqrt(n1 + n2 - 2)
Learn more on our example page.
Provides the effect size (Cohen's d) with associated confidence intervals, degrees of freedom, t-statistic, and p-value.
d |
effect size |
dlow |
lower level confidence interval of d value |
dhigh |
upper level confidence interval of d value |
n1 |
sample size |
n2 |
sample size |
df |
degrees of freedom (n1 - 1 + n2 - 1) |
t |
t-statistic |
p |
p-value |
estimate |
the d statistic and confidence interval in APA style for markdown printing |
statistic |
the t-statistic in APA for the t-test |
#The following example is derived from the "indt_data" dataset, included #in the MOTE library. #A forensic psychologist conducted a study to examine whether #being hypnotized during recall affects how well a witness #can remember facts about an event. Eight participants #watched a short film of a mock robbery, after which #each participant was questioned about what he or she had #seen. The four participants in the experimental group #were questioned while they were hypnotized. The four #participants in the control group recieved the same #questioning without hypnosis. hyp = t.test(correctq ~ group, data = indt_data) #You can type in the numbers directly, or refer to the dataset, #as shown below. d.ind.t.t(t = -2.6599, n1 = 4, n2 = 4, a = .05) d.ind.t.t(-2.6599, 4, 4, .05) d.ind.t.t(hyp$statistic, length(indt_data$group[indt_data$group == 1]), length(indt_data$group[indt_data$group == 2]), .05) #Contrary to the hypothesized result, the group that underwent hypnosis were #significantly less accurate while reporting facts than the control group #with a large effect size, t(6) = -2.66, p = .038, d_s = 2.17.
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