Statement scores with credible intervals

Usage

compute_zscores(fit, prob = NULL)

Arguments

fit: A bayesqm_fit.
prob: Credible-interval probability; defaults to the fit's.

Value

A data frame with one row per statement: statement, then f{k}_zsc, f{k}_lower, f{k}_upper per factor.

Examples

compute_zscores(demo_fit())
#>    statement     f1_zsc      f1_lower     f1_upper       f2_zsc    f2_lower
#> 1         S1 -0.7642786 -1.4925646025  0.006103133 -1.687500747 -2.52661563
#> 2         S2  0.2387391 -0.5696066709  1.057480468  0.705000038 -0.38682694
#> 3         S3 -0.8688942 -1.6855841525  0.051724430 -0.248156870 -1.21738309
#> 4         S4  1.6166499  0.8052125914  2.386454122 -0.535499403 -1.53129050
#> 5         S5  0.8514840  0.0006442874  1.622890448  0.633446352 -0.49017551
#> 6         S6 -0.9024984 -1.6644849682  0.146995236  1.307546019  0.20862416
#> 7         S7 -0.1881508 -0.9725082891  0.537902559  0.243431657 -0.92811504
#> 8         S8  0.7519454  0.0051088135  1.536849948  0.003260551 -0.98293889
#> 9         S9  0.5078640 -0.3639557528  1.302744876  1.080694829  0.06014377
#> 10       S10 -1.3089109 -1.9779833943 -0.571073842 -0.019624590 -0.99223609
#> 11       S11  1.0484573  0.1574786243  1.890395790 -1.587585312 -2.56493408
#> 12       S12  0.2346971 -0.5661856331  1.000835919  0.272587105 -0.61880095
#> 13       S13 -1.2171039 -1.9199300969 -0.423012956 -0.167599629 -1.03769826
#>      f2_upper
#> 1  -0.6412988
#> 2   1.8736307
#> 3   0.7538681
#> 4   0.4423898
#> 5   1.6420288
#> 6   2.3902776
#> 7   1.0086332
#> 8   1.0569034
#> 9   1.9740567
#> 10  1.1139282
#> 11 -0.5499099
#> 12  1.2488501
#> 13  0.7412157