Bayesian scale reliability test
| Estimate | McDonald’s ω | Cronbach’s α | Mean | SD |
|---|---|---|---|---|
| Posterior mean | 0.920 | 0.925 | 58.098 | 10.099 |
| 95% CI lower bound | 0.898 | 0.903 | ||
| 95% CI upper bound | 0.940 | 0.947 | ||
| R-hat | 1.00 | 1.00 |
| Estimate | McDonald’s ω | Cronbach’s α | Mean | SD |
|---|---|---|---|---|
| Posterior mean | 0.920 | 0.925 | 58.098 | 10.099 |
| 95% CI lower bound | 0.898 | 0.903 | ||
| 95% CI upper bound | 0.940 | 0.947 | ||
| R-hat | 1.00 | 1.00 |
Note(s): This table presents estimates and statistics for McDonald’s Omega (ω) and Cronbach’s Alpha (α), and Gelman-Rubin's R-hat statistic. The “Posterior Mean” column displays the average estimate obtained from Bayesian analysis. The “95% CI” columns provide the 95% confidence intervals for each estimate (lower and upper bounds). The R-hat statistic assesses the convergence of the Bayesian analysis, with a value of 1.00 indicating satisfactory convergence
Source(s): Table by authors
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