sample_data

<p>This data set is an excerpt from Table 2 of Jacobson &amp; Truax (1991).</p>

datasets

The concept of reliable and clinically significant change
(Jacobson & Truax, 1991) helps you answer the following questions for a
sample with two measurements at different points in time (pre & post):
Which proportion of my sample has a (considering the reliability of the
instrument) probably not-just-by-chance difference in pre- vs. post-scores?
Which proportion of my sample does not only change in a statistically
significant way (see question one), but also in a clinically significant way
(e.g. change from a test score regarded "dysfunctional" to a score regarded
"functional")?
This package allows you to very easily create a scatterplot of your sample
in which the x-axis maps to the pre-scores, the y-axis maps to the
post-scores and several graphical elements (lines, colors) allow you to gain
a quick overview about reliable changes in these scores.
An example of this kind of plot is Figure 2 of Jacobson & Truax (1991).
Referenced article:
Jacobson, N. S., & Truax, P. (1991) <doi:10.1037/0022-006X.59.1.12>.

Maximilian Hagspiel

rciplot

Plot Jacobson-Truax Reliable Change Indices

sample_data function

<p>A CSV table containing the columns `ppid`, `pre` and `post` where `ppid`
is a continuously incrementing list of unique integers, `pre` contains pretest
values (floating-point) and `post` contains posttest values (floating-point
too)</p>

sample_data: Sample Data from Jacobson & Truax (1991)

Description

Usage

Arguments

Format

References