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Support for psych::omega models #136

@DominiqueMakowski

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@DominiqueMakowski

It thought it would be easy and similar to model_parameters.principal, but no 😢

psych::omega(mtcars)
#> Loading required namespace: GPArotation

#> Omega 
#> Call: psych::omega(m = mtcars)
#> Alpha:                 0.88 
#> G.6:                   0.97 
#> Omega Hierarchical:    0.57 
#> Omega H asymptotic:    0.58 
#> Omega Total            0.97 
#> 
#> Schmid Leiman Factor loadings greater than  0.2 
#>           g   F1*   F2*   F3*   h2   u2   p2
#> mpg-   0.58 -0.67        0.29 0.88 0.12 0.38
#> cyl    0.70 -0.61  0.28       0.96 0.04 0.52
#> disp   0.59 -0.71             0.89 0.11 0.39
#> hp     0.77 -0.31  0.23  0.36 0.87 0.13 0.68
#> drat-  0.27 -0.79             0.71 0.29 0.10
#> wt     0.43 -0.79        0.31 0.91 0.09 0.20
#> qsec-  0.81        0.50       0.95 0.05 0.70
#> vs-    0.74 -0.27  0.38       0.77 0.23 0.71
#> am-         -0.89             0.81 0.19 0.00
#> gear         0.87        0.32 0.87 0.13 0.00
#> carb   0.68              0.63 0.87 0.13 0.53
#> 
#> With eigenvalues of:
#>    g  F1*  F2*  F3* 
#> 3.70 4.36 0.60 0.83 
#> 
#> general/max  0.85   max/min =   7.24
#> mean percent general =  0.38    with sd =  0.27 and cv of  0.71 
#> Explained Common Variance of the general factor =  0.39 
#> 
#> The degrees of freedom are 25  and the fit is  1.3 
#> The number of observations was  32  with Chi Square =  31.8  with prob <  0.16
#> The root mean square of the residuals is  0.02 
#> The df corrected root mean square of the residuals is  0.02
#> RMSEA index =  0.14  and the 10 % confidence intervals are  0 0.181
#> BIC =  -54.85
#> 
#> Compare this with the adequacy of just a general factor and no group factors
#> The degrees of freedom for just the general factor are 44  and the fit is  10.25 
#> The number of observations was  32  with Chi Square =  264.78  with prob <  2.7e-33
#> The root mean square of the residuals is  0.39 
#> The df corrected root mean square of the residuals is  0.44 
#> 
#> RMSEA index =  0.448  and the 10 % confidence intervals are  0.356 0.45
#> BIC =  112.29 
#> 
#> Measures of factor score adequacy             
#>                                                  g  F1*   F2*  F3*
#> Correlation of scores with factors            0.87 0.97  0.60 0.84
#> Multiple R square of scores with factors      0.76 0.95  0.36 0.71
#> Minimum correlation of factor score estimates 0.52 0.90 -0.28 0.42
#> 
#>  Total, General and Subset omega for each subset
#>                                                  g  F1*  F2*  F3*
#> Omega total for total scores and subscales    0.97 0.90 0.91 0.87
#> Omega general for total scores and subscales  0.57 0.31 0.69 0.60
#> Omega group for total scores and subscales    0.26 0.59 0.22 0.28

Created on 2019-10-04 by the reprex package (v0.3.0)

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