Research Article
Conditional Maximum Likelihood Estimation in Polytomous Rasch Models Using SAS
Table 1
Item parameter estimates from the data set CML_par_ci.
| | | | | Lower | Upper | Item | Label | Cat | Estimate | CL | CL |
| AHADS1 | eta11 | 1 | 3.75 | 3.15 | 4.35 | AHADS1 | eta12 | 2 | 3.58 | 2.95 | 4.21 | AHADS1 | eta13 | 3 | 2.76 | 2.12 | 3.39 | : | | | | | | AHADS9 | eta71 | 1 | 0.93 | 0.64 | 1.22 | AHADS9 | eta72 | 2 | −0.58 | −1.01 | −0.14 | AHADS9 | eta73 | 3 | −3.00 | −3.66 | −2.35 | : | | | | | | AHADS1 | beta11 | 1 | −3.75 | −4.35 | −3.15 | AHADS1 | beta12 | 2 | 0.17 | −0.14 | 0.48 | AHADS1 | beta13 | 3 | 0.82 | 0.45 | 1.19 | : | | | | | | AHADS9 | beta71 | 1 | −0.93 | −1.22 | −0.64 | AHADS9 | beta72 | 2 | 1.51 | 1.13 | 1.89 | AHADS9 | beta73 | 3 | 2.43 | 1.75 | 3.11 |
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