fitindices

Computes the normed fit index (NFI), adjusted normed fit index (adj NFI),
comparative fit index (CFI), Tucker-Lewis fit index (TLI), and root mean
square error of approximation index (RMSEA). Of the first four indices, the
adj NFI index is recommended because it has smaller sampling variability
than CFI and TLI and less negative bias than NFI.

Implements confidence interval and sample size methods that
are especially useful in psychological research. The methods can be
applied in 1-group, 2-group, paired-samples, and multiple-group designs
and to a variety of parameters including means, medians, proportions,
slopes, standardized mean differences, standardized linear contrasts
of means, plus several measures of correlation and association.
Confidence interval and sample size functions are given for single
parameters as well as differences, ratios, and linear contrasts of
parameters. The sample size functions can be used to approximate the
sample size needed to estimate a parameter or function of parameters
with desired confidence interval precision or to perform a variety of
hypothesis tests (directional two-sided, equivalence, superiority,
noninferiority) with desired power. For details see: Statistical Methods
for Psychologists, Volumes 1 – 4, <https://dgbonett.sites.ucsc.edu/>.

Douglas G. Bonett

statpsych

Statistical Methods for Psychologists

Robert J. Calin-Jageman

fitindices function

<dl><dt>chi1</dt>
<dd>chi-square test statistic for full model</dd>
<dt>df1</dt>
<dd>degrees of freedom for full model</dd>
<dt>chi2</dt>
<dd>chi-square test statistic for reduced model</dd>
<dt>df2</dt>
<dd>degrees of freedom for reduced model</dd>
<dt>n</dt>
<dd>sample size</dd></dl>

Arguments

SEM fit indices — fitindices

<dl>

<dt>chi1</dt>
<dd>chi-square test statistic for full model</dd>


<dt>df1</dt>
<dd>degrees of freedom for full model</dd>


<dt>chi2</dt>
<dd>chi-square test statistic for reduced model</dd>


<dt>df2</dt>
<dd>degrees of freedom for reduced model</dd>


<dt>n</dt>
<dd>sample size</dd>

</dl>

fitindices: SEM fit indices

Description

Usage

Value

Arguments

Examples