Effects of Various Simulation Conditions on Latent-Trait Estimates: A Simulation Study

Hakan Koğar

Makale detayları

Effects of Various Simulation Conditions on Latent-Trait Estimates: A Simulation Study

Yazarlar:

Hakan Koğar

Yayıncı:

İzzet KARA

Ana Başlıklar:

Eğitim

Dergi:

International Journal of Assessment Tools in Education 2018 Vol.5 Issue 2, pp.263-273

Belge Tipi:

Makale

Yayın Tarihi:

5/2018

Belge Dili:

İngilizce

Document ID (Org No.):

2000718726

Sıklık:

Üç Aylık

eISSN:

2148-7456

Özet:

 


The
aim of this simulation study, determine the relationship between true latent
scores and estimated latent scores by including various control variables and
different statistical models. The study also aimed to compare the statistical
models and determine the effects of different distribution types, response
formats and sample sizes on latent score estimations. 108 different data bases,
comprised of three different distribution types (positively skewed, normal,
negatively skewed), three response formats (three-, five- and seven-level
likert) and four different sample sizes (100, 250, 500, 1000) were used in the
present study. Results show that, distribution types and response formats, in
almost all simulations, have significant effect on determination coefficients.
When the general performance of the models are evaluated, it can be said that
MR and GRM display a better performance than the other models. Particularly in
situations when the distribution is either negatively or positively skewed and
when the sample size is small, these models display a rather good performance.

.

 


The aim of this simulation study, determine the relationship between true latent scores and estimated latent scores by including various control variables and different statistical models. The study also aimed to compare the statistical models and determine the effects of different distribution types, response formats and sample sizes on latent score estimations. 108 different data bases, comprised of three different distribution types (positively skewed, normal, negatively skewed), three response formats (three-, five- and seven-level likert) and four different sample sizes (100, 250, 500, 1000) were used in the present study. Results show that, distribution types and response formats, in almost all simulations, have significant effect on determination coefficients. When the general performance of the models are evaluated, it can be said that MR and GRM display a better performance than the other models. Particularly in situations when the distribution is either negatively or positively skewed and when the sample size is small, these models display a rather good performance.

.

Makale detayları

Effects of Various Simulation Conditions on Latent-Trait Estimates: A Simulation Study

Yazarlar: Hakan Koğar

Yayıncı: İzzet KARA

Ana Başlıklar: Eğitim

Dergi: International Journal of Assessment Tools in Education 2018 Vol.5 Issue 2, pp.263-273

Belge Tipi: Makale

Yayın Tarihi: 5/2018

Belge Dili: İngilizce

Document ID (Org No.): 2000718726

Sıklık: Üç Aylık

eISSN: 2148-7456

Sayı

Yazarlar:

Hakan Koğar

Yayıncı:

İzzet KARA

Ana Başlıklar:

Eğitim

Dergi:

International Journal of Assessment Tools in Education 2018 Vol.5 Issue 2, pp.263-273

Belge Tipi:

Makale

Yayın Tarihi:

5/2018

Belge Dili:

İngilizce

Document ID (Org No.):

2000718726

Sıklık:

Üç Aylık

eISSN:

2148-7456