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.
For more details, see Section 2.14 of Bonett (2021, Volume 4)

Implements confidence interval and sample size methods that are especially
useful in psychological research but are also useful in educational, social science,
business, and biological research. This package includes more than 100 confidence
interval functions and more than 80 sample size functions for 1-group, 2-group,
paired-samples, and multiple-group designs and for a variety of parameters including
means, medians, proportions, slopes, standardized mean differences, standardized
linear contrasts of means, and several measures of correlation and association. 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 about these methods 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

References

Examples