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pro vyhledávání: '"KARADAVUT, Tuğba"'
Autor:
KARADAVUT, Tuğba1 tugba-mat@hotmail.com, KARADAĞ, Serdar2 srdkrd@gmail.com, NACAR, Bilgehan3 bilgehannacar@hotmail.com
Publikováno v:
Journal of Social Sciences / Sosyal Bilimler Dergisi (2146-4561). Jun2020, Vol. 10 Issue 19, p150-163. 14p.
Akademický článek
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Autor:
KARADAVUT, Tuğba
Publikováno v:
Volume: 21, Issue: 2 375-389
Abant İzzet Baysal Üniversitesi Eğitim Fakültesi Dergisi
Abant İzzet Baysal Üniversitesi Eğitim Fakültesi Dergisi
Korelasyon türü ilişkisel tarama çalışmalarında veya korelasyonel araştırmalarda en az iki değişken arasında bir ilişki olup olmadığı sorusu cevaplanmaya çalışılır. Bu soruların cevaplanmasında korelasyon analizleri kullanılı
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=tubitakulakb::d45d1d06fc6407a53817af7054895e4a
https://dergipark.org.tr/tr/pub/aibuefd/issue/62826/810642
https://dergipark.org.tr/tr/pub/aibuefd/issue/62826/810642
Autor:
Tugba Karadavut
Publikováno v:
International Journal of Assessment Tools in Education, Vol 6, Iss 4, Pp 568-579 (2020)
Volume: 6, Issue: 4 568-579
International Journal of Assessment Tools in Education
Volume: 6, Issue: 4 568-579
International Journal of Assessment Tools in Education
Item Response Theory (IRT) models traditionally assume a normal distribution for ability. Although normality is often a reasonable assumption for ability, it is rarely met for observed scores in educational and psychological measurement. Assumptions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::af04859ac7e933d0be7ce78cd450fe99
https://dergipark.org.tr/tr/pub/ijate/issue/49554/581314?publisher=ijate
https://dergipark.org.tr/tr/pub/ijate/issue/49554/581314?publisher=ijate
Publikováno v:
Volume: 6, Issue: 3 362-377
International Journal of Assessment Tools in Education
International Journal of Assessment Tools in Education, Vol 6, Iss 3, Pp 362-377 (2019)
International Journal of Assessment Tools in Education
International Journal of Assessment Tools in Education, Vol 6, Iss 3, Pp 362-377 (2019)
Covariates have been used in mixture IRT models to help explain why examinees are classed into different latent classes. Previous research has considered manifest variables as covariates in a mixture Rasch analysis for prediction of group membership.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fd7701a172773f59e2c06f2edea582dd
https://dergipark.org.tr/tr/pub/ijate/issue/47053/592789
https://dergipark.org.tr/tr/pub/ijate/issue/47053/592789