Investigating the Impact of Missing Data Handling Methods on the Detection of Differential Item Functioning
In this study, it is aimed to investigate the impact of different missing data handling methods on the detection of Differential Item Functioning methods (Mantel Haenszel and Standardization methods based on Classical Test Theory and Likelihood Ratio Test method based on Item Response Theory). In th...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
izzet kara
2017-08-01
|
| Series: | International Journal of Assessment Tools in Education |
| Subjects: | |
| Online Access: | http://ijate.net/index.php/ijate/article/view/166 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850262659153264640 |
|---|---|
| author | Hüseyin Selvi Devrim Ozdemir Alıcı |
| author_facet | Hüseyin Selvi Devrim Ozdemir Alıcı |
| author_sort | Hüseyin Selvi |
| collection | DOAJ |
| description | In this study, it is aimed to investigate the impact of different missing data handling methods on the detection of Differential Item Functioning methods (Mantel Haenszel and Standardization methods based on Classical Test Theory and Likelihood Ratio Test method based on Item Response Theory). In this regard, on the data acquired from 1046 candidates who entered to Foreign National Student Exam (FNSE) held in year 2016 by Mersin University (MEU) and answered Basic Skills subtest, using different missing data handling methods, differential item functioning analyses with Mantel Haenszel, Standardization and Likelihood Ratio Test methods are performed. Basic Skills test consists of 80 multiple choice items. The items are all binary scored (1-0) items. Among the participants 523 are female and 523 are male. The findings showed that the number of items flagged as DIF has changed with the used missing data handling methods. The DIF detection methods based on Classical Test Theory are more consistent within themselves compared to DIF detection method based on Item Response Theory, whereas the used missing data handling methods differentiate the DIF detected items and this difference reaches a significant level for Mantel Haenszel method |
| format | Article |
| id | doaj-art-d02b5481027448fcae9de71b8ccd4bba |
| institution | OA Journals |
| issn | 2148-7456 |
| language | English |
| publishDate | 2017-08-01 |
| publisher | izzet kara |
| record_format | Article |
| series | International Journal of Assessment Tools in Education |
| spelling | doaj-art-d02b5481027448fcae9de71b8ccd4bba2025-08-20T01:55:08Zengizzet karaInternational Journal of Assessment Tools in Education2148-74562017-08-0151127Investigating the Impact of Missing Data Handling Methods on the Detection of Differential Item FunctioningHüseyin Selvi0Devrim Ozdemir Alıcı1Mersin University, Medical Faculty, Medical Education Department(Assoc Prof) Mersin University, Faculty of Education, Department of Measurement and Evaluation in EducationIn this study, it is aimed to investigate the impact of different missing data handling methods on the detection of Differential Item Functioning methods (Mantel Haenszel and Standardization methods based on Classical Test Theory and Likelihood Ratio Test method based on Item Response Theory). In this regard, on the data acquired from 1046 candidates who entered to Foreign National Student Exam (FNSE) held in year 2016 by Mersin University (MEU) and answered Basic Skills subtest, using different missing data handling methods, differential item functioning analyses with Mantel Haenszel, Standardization and Likelihood Ratio Test methods are performed. Basic Skills test consists of 80 multiple choice items. The items are all binary scored (1-0) items. Among the participants 523 are female and 523 are male. The findings showed that the number of items flagged as DIF has changed with the used missing data handling methods. The DIF detection methods based on Classical Test Theory are more consistent within themselves compared to DIF detection method based on Item Response Theory, whereas the used missing data handling methods differentiate the DIF detected items and this difference reaches a significant level for Mantel Haenszel methodhttp://ijate.net/index.php/ijate/article/view/166Differential Item Functioning DIF, Test and Item Bias, Missing Values, Imputation of Missing Data, Mantel Haenszel, Likelihood Ratio Test |
| spellingShingle | Hüseyin Selvi Devrim Ozdemir Alıcı Investigating the Impact of Missing Data Handling Methods on the Detection of Differential Item Functioning International Journal of Assessment Tools in Education Differential Item Functioning DIF, Test and Item Bias, Missing Values, Imputation of Missing Data, Mantel Haenszel, Likelihood Ratio Test |
| title | Investigating the Impact of Missing Data Handling Methods on the Detection of Differential Item Functioning |
| title_full | Investigating the Impact of Missing Data Handling Methods on the Detection of Differential Item Functioning |
| title_fullStr | Investigating the Impact of Missing Data Handling Methods on the Detection of Differential Item Functioning |
| title_full_unstemmed | Investigating the Impact of Missing Data Handling Methods on the Detection of Differential Item Functioning |
| title_short | Investigating the Impact of Missing Data Handling Methods on the Detection of Differential Item Functioning |
| title_sort | investigating the impact of missing data handling methods on the detection of differential item functioning |
| topic | Differential Item Functioning DIF, Test and Item Bias, Missing Values, Imputation of Missing Data, Mantel Haenszel, Likelihood Ratio Test |
| url | http://ijate.net/index.php/ijate/article/view/166 |
| work_keys_str_mv | AT huseyinselvi investigatingtheimpactofmissingdatahandlingmethodsonthedetectionofdifferentialitemfunctioning AT devrimozdemiralıcı investigatingtheimpactofmissingdatahandlingmethodsonthedetectionofdifferentialitemfunctioning |