Using Functional Clustering to Diagnose Person Misfit (Record no. 45757)
[ view plain ]
| 000 -LEADER | |
|---|---|
| fixed length control field | 02224nam a22002057a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240508071345.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 240508b |||||||| |||| 00| 0 eng d |
| 022 ## - INTERNATIONAL STANDARD SERIAL NUMBER | |
| ISSN | 0022-0973 |
| 100 ## - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Turner, Kyle T. |
| 245 ## - TITLE STATEMENT | |
| Title | Using Functional Clustering to Diagnose Person Misfit |
| Remainder of title | (Journal Article) |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | Philadelphia, USA |
| Name of publisher | : Taylor and Francis Group and Routledge |
| Year of publication | ,May 2024 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | 377-397p. |
| 440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE | |
| Title | The Journal of Experimental Education |
| Volume number/sequential designation | Volume 92: Number 2, 2024 |
| 500 ## - GENERAL NOTE | |
| General note | ***______{For Hard Copy, Please visit Library.}________***<br/><br/> |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | Abstract: The purpose of this study is to demonstrate clustering methods within a functional data analysis (FDA) framework for identifying subgroups of individuals that may be exhibiting categories of misfit. Person response functions (PRFs) estimated within a FDA framework (FDA-PRFs) provide graphical displays that can aid in the identification of persons that have responded unexpectedly to items comprising an achievement test. Typical person fit statistics are also useful for detecting unexpected response patterns, but they do not provide insight into the underlying behaviors responsible for those responses. However, different responding behaviors tend to produce FDA-PRFs of different shapes, and may provide additional information regarding the reasons for misfit. Functional clustering methods are useful for categorizing respondents into subgroups based on the shapes of their FDA-PRFs. In this study, a small simulation illustrates the potential of clustering FDA-PRFs for identifying persons displaying common types of responding behaviors. The methodology is also applied to data from a high school biology assessment and a mathematics achievement test. Clustering FDA-PRFs offers a promising methodology for operationalizing person fit evaluations in large-scale assessments, and may be a valuable step in person fit assessment when used in conjunction with traditional indices of psychometric quality. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | functional data analysis| functional clustering| person response functions| person fit |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Engelhard Jr, George |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://doi.org/10.1080/00220973.2022.2161088 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Periodicals |
| Lost status | Damaged status | Home library | Current library | Date acquired | Koha item type |
|---|---|---|---|---|---|
| RIE BPL Library | RIE BPL Library | 08.05.2024 | Periodicals |