Lambert

Data from an ABAB design conducted by Lambert, Cartledge, Heward, &amp; Lo (2008). 
The variables are as follows:<ul>
<li><code>measure</code>. Outcome measure description (disruptive behavior or academic response).</li>
<li><code>case</code>. Student identifier.</li>
<li><code>treatment</code>. Factor indicating treatment or control condition. 
 SSR = single-subject responding. RC = response cards.</li>
<li><code>phase</code>. Study phase (including both control and treatment condition)</li>
<li><code>time</code>. Measurement occasion.</li>
<li><code>outcome</code>. Outcome scores.</li>
</ul>

datasets

Provides a set of tools for estimating hierarchical linear
models and effect sizes based on data from single-case designs.
Functions are provided for calculating standardized mean difference effect sizes that
are directly comparable to standardized mean differences estimated from between-subjects randomized experiments,
as described in Hedges, Pustejovsky, and Shadish (2012) <DOI:10.1002/jrsm.1052>;
Hedges, Pustejovsky, and Shadish (2013) <DOI:10.1002/jrsm.1086>;
Pustejovsky, Hedges, and Shadish (2014) <DOI:10.3102/1076998614547577>;
and Chen, Pustejovsky, Klingbeil, and Van Norman (2023) <DOI:10.1016/j.jsp.2023.02.002>.
Includes an interactive web interface.

James Pustejovsky

scdhlm

Estimating Hierarchical Linear Models for Single-Case Designs

Man Chen

Bethany Hamilton

Lambert function

A data frame with 461 rows and 6 variables

Lambert: Example 1 from Hedges, Pustejovsky, & Shadish (2012)

Description

Arguments

Format

References