Laski

Data from a multiple baseline design conducted by 
Laski, Charlop, & Schreibman (1988). The variables are as follows:
<ul>
<li> <code>case</code>. Child identifier. 
 </li>
<li> <code>outcome</code>. Frequency of child vocalization, as measured by 
 a partial interval recording procedure with 60 ten-second intervals per session.
 </li>
<li> <code>time</code>. Measurement occasion.
 </li>
<li> <code>treatment</code>. Indicator for treatment phase.
</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>; and
Pustejovsky, Hedges, and Shadish (2014) <DOI:10.3102/1076998614547577>.

James Pustejovsky

scdhlm

Estimating Hierarchical Linear Models for Single-Case Designs

Laski function

A data frame with 128 rows and 4 variables

Format

Laski, K. E., Charlop, M. H., & Schreibman, L. (1988). 
Training parents to use the natural language paradigm to increase 
their autistic children's speech. 
Journal of Applied Behavior Analysis, 21(4), 391-400.

Source

Data from a multiple baseline design conducted by 
Laski, Charlop, & Schreibman (1988). The variables are as follows:
<ul>
<li> <code>case</code>. Child identifier. 
 </li>
<li> <code>outcome</code>. Frequency of child vocalization, as measured by 
 a partial interval recording procedure with 60 ten-second intervals per session.
 </li>
<li> <code>time</code>. Measurement occasion.
 </li>
<li> <code>treatment</code>. Indicator for treatment phase.
</li>
</ul>

Laski: Example 2 from Hedges, Pustejovsky, & Shadish (2013)

Description

Arguments

Format

Source

References