| P2093 | author name string | Mijke Rhemtulla | |
| | Victoria Savalei | |
| P2860 | cites work | Missing data: our view of the state of the art | Q28207899 |
| | ML versus MI for Missing Data with Violation of Distribution Conditions | Q30808672 |
| | Missing data techniques for structural equation modeling | Q30886183 |
| | A Comparison of Imputation Strategies for Ordinal Missing Data on Likert Scale Variables | Q31028438 |
| | Addressing Item-Level Missing Data: A Comparison of Proration and Full Information Maximum Likelihood Estimation | Q31028442 |
| | Multiple Imputation for Multivariate Missing-Data Problems: A Data Analyst's Perspective | Q31036257 |
| | Covariance Structure Model Fit Testing Under Missing Data: An Application of the Supplemented EM Algorithm | Q31036301 |
| | SEM with Missing Data and Unknown Population Distributions Using Two-Stage ML: Theory and Its Application | Q31037098 |
| | When can categorical variables be treated as continuous? A comparison of robust continuous and categorical SEM estimation methods under suboptimal conditions | Q31073603 |
| | A comparison of inclusive and restrictive strategies in modern missing data procedures | Q32055859 |
| | Expected versus observed information in SEM with incomplete normal and nonnormal data | Q33696359 |
| | Why the items versus parcels controversy needn't be one | Q38120054 |
| | SEM of another flavour: two new applications of the supplemented EM algorithm. | Q51902032 |
| | Asymptotically distribution-free methods for the analysis of covariance structures. | Q52693776 |
| | Using Parcels to Convert Path Analysis Models Into Latent Variable Models. | Q53193963 |
| P433 | issue | 4 | |
| P304 | page(s) | 405-431 | |
| P577 | publication date | 2017-03-09 | |
| P1433 | published in | Journal of Educational and Behavioral Statistics | Q6295129 |
| P1476 | title | Normal Theory Two-Stage ML Estimator When Data Are Missing at the Item Level | |
| P478 | volume | 42 | |