Last updated: 2019-10-18

Checks: 1 1

Knit directory: mcfa-fit/

This reproducible R Markdown analysis was created with workflowr (version 1.4.0). The Checks tab describes the reproducibility checks that were applied when the results were created. The Past versions tab lists the development history.

R Markdown file: uncommitted changes

The R Markdown file has unstaged changes. To know which version of the R Markdown file created these results, you’ll want to first commit it to the Git repo. If you’re still working on the analysis, you can ignore this warning. When you’re finished, you can run wflow_publish to commit the R Markdown file and build the HTML.

Repository version: b534b90

Great! You are using Git for version control. Tracking code development and connecting the code version to the results is critical for reproducibility. The version displayed above was the version of the Git repository at the time these results were generated.

Note that you need to be careful to ensure that all relevant files for the analysis have been committed to Git prior to generating the results (you can use wflow_publish or wflow_git_commit). workflowr only checks the R Markdown file, but you know if there are other scripts or data files that it depends on. Below is the status of the Git repository when the results were generated: 


Ignored files:
    Ignored:    .RData
    Ignored:    .RDataTmp
    Ignored:    .Rhistory
    Ignored:    .Rproj.user/

Untracked files:
    Untracked:  analysis/est_ulsmv.Rmd
    Untracked:  analysis/est_wlsmv.Rmd

Unstaged changes:
    Modified:   analysis/est_mlr.Rmd
    Modified:   analysis/fit_boxplots.Rmd
    Modified:   analysis/index.Rmd
    Modified:   analysis/index_cfi.Rmd
    Modified:   analysis/index_rmsea.Rmd
    Modified:   analysis/index_srmr.Rmd
    Modified:   analysis/index_tli.Rmd
    Modified:   analysis/roc_analyses.Rmd

Note that any generated files, e.g. HTML, png, CSS, etc., are not included in this status report because it is ok for generated content to have uncommitted changes.

These are the previous versions of the R Markdown and HTML files. If you’ve configured a remote Git repository (see ?wflow_git_remote), click on the hyperlinks in the table below to view them.

File Version Author Date Message
html b534b90 noah-padgett 2019-09-29 updated publish
Rmd 6457362 noah-padgett 2019-09-29 general update after first SEM review
html 6457362 noah-padgett 2019-09-29 general update after first SEM review

TLI

The Tucker-Lewis index (TLI) is another measure of fit over the null model that is non-normed Tucker1973, Bentler1980. The TLI is non-normed because the range of possible values is not restricted, where values greater than one are possible. But, just like CFI, higher values of TLI are indicative of better fit. \[ TLI = \frac{ \frac{\chi^2_N }{{df}_N} - \frac{\chi^2_H}{{df}_H}}{\frac{\chi^2_ N}{{df}_N} - 1} \] The recommended minimum value for TLI is .95 Hu1999.