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ERIC Number: EJ1174900
Record Type: Journal
Publication Date: 2018-Mar
Pages: 10
Abstractor: As Provided
Reference Count: 36
ISBN: N/A
ISSN: ISSN-2252-8822
The Impact of Different Missing Data Handling Methods on DINA Model
Sünbül, Seçil Ömür
International Journal of Evaluation and Research in Education, v7 n1 p77-86 Mar 2018
In this study, it was aimed to investigate the impact of different missing data handling methods on DINA model parameter estimation and classification accuracy. In the study, simulated data were used and the data were generated by manipulating the number of items and sample size. In the generated data, two different missing data mechanisms (missing completely at random and missing at random) were created according to three different amounts of missing data. The generated missing data was completed by using methods of treating missing data as incorrect, person mean imputation, two-way imputation, and expectation-maximization algorithm imputation. As a result, it was observed that both s and g parameter estimations and classification accuracies were effected from, missing data rates, missing data handling methods, and missing data mechanisms.
Institute of Advanced Engineering and Science. C5 Plumbon, Banguntapan, Yogyakarta, 55198, Indonesia. Tel: +62-274-4534501; Fax: +62-274-564604; e-mail: ijere@iaesjournal.com; Web site: http://iaesjournal.com/online/index.php/ijere
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A