Loading...
Please wait, while we are loading the content...
Similar Documents
Model Fit with Residual Analyses
| Content Provider | Scilit |
|---|---|
| Author | Wells, Craig S. Hambleton, Ronald K. |
| Copyright Year | 2017 |
| Description | Item response theory (IRT) is a powerful scaling technique that uses a mathematical model to depict the probability of a correct response given item and person parameters. The advantages and attractive features of IRT are based on the invariance property in which the item parameter values retain the same values regardless of the ability distribution and the person parameters (Embretson and Reise, 2000; Hambleton et al., 1991). However, the invariance property only holds when the assumptions of the specific IRT model, such as undimensionality, local independence, and monotonicity l (Volume One, Chapter 2) are satisfied. Model fit, which is the focus of this chapter, indicates that these assumptions adequately match or represent the examinee response data. Book Name: Handbook of Item Response Theory |
| Related Links | https://content.taylorfrancis.com/books/download?dac=C2011-0-18905-5&isbn=9781315373645&doi=10.1201/b19166-20&format=pdf |
| Ending Page | 414 |
| Page Count | 20 |
| Starting Page | 395 |
| DOI | 10.1201/b19166-20 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2017-03-31 |
| Access Restriction | Open |
| Subject Keyword | Book Name: Handbook of Item Response Theory Mathematical Psychology Mathematical Undimensionality Monotonicity |
| Content Type | Text |
| Resource Type | Chapter |
