載入...
Bayesian Estimation for Item Factor Analysis Models with Sparse Categorical Indicators
Psychometric models for item level data are broadly useful in psychology. A recurring issue for estimating IFA models is low item endorsement (item sparseness), due to limited sample sizes or extreme items such as rare symptoms or behaviors. In this paper, I demonstrate that under conditions charact...
Na minha lista:
| 發表在: | Multivariate Behav Res |
|---|---|
| 主要作者: | |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
2017
|
| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6062000/ https://ncbi.nlm.nih.gov/pubmed/28715231 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/00273171.2017.1342203 |
| 標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|