Comparison of the various methods used in solving missing data problems
Küçük Resim Yok
Tarih
2016
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Kamla-Raj Enterprises
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
The aim of this study is to compare various methods used in solving missing data problems in terms of the validity and reliability of scale results under some conditions such as missing completely at the random mechanism, normal distribution, unidimensionality, a large sample size and different missing data rates. In the study the PISA 2012 Math Work Ethics Scale results of Turkey sample were used. In the research process estimated values of validity and reliability from original complete and new complete data sets of various methods were compared. The findings reveal that the estimated values of validity and reliability from the new complete data sets of the expectation maximization, regression imputation and multiple imputation methods are the most similar values estimated from the complete data set. © Kamla-Raj 2016.
Açıklama
Anahtar Kelimeler
Missing data, Reliability, Research, Scale, Validity
Kaynak
Anthropologist
WoS Q Değeri
Scopus Q Değeri
N/A
Cilt
24
Sayı
1
