A Study on the Identification of Latent Classes Using Mixture Item Response Theory Models: TIMSS 2015 Case

Fatıma Münevver Saatçioğlu; Hakan Yavuz Atar

doi:10.17275/per.20.41.7.3

EN

A Study on the Identification of Latent Classes Using Mixture Item Response Theory Models: TIMSS 2015 Case

Abstract

This study examined the existence of latent classes in TIMSS 2015 data from three countries, Singapure, Turkey and South Africa, were analyzed using Mixture Item Response Theory (MixIRT) models (Rasch, 1PL, 2PL and 3PL) on 18 multiple-choice items in the science subtest. Based on the findings, it was concluded that the data obtained from TIMSS 2015 8th grade science subtest have a heterogeneous structure consisting of two latent classes. When the item difficulty parameters in two classes were examined for Singapore, it was determined that the items were considerably easy for the students in Class 1 and the items were easy for the students in Class 2. When the item difficulty parameters in two classes were examined for Turkey, it was found that the items were easy for the students in Class 1 and the items were difficult for the students in Class 2. When the item difficulty parameters in two classes were examined for South Africa, it was ascertained that the items were a bit easy for the students in Class 1 and the items were considerably difficult for the students in Class 2. The findings were discussed in the context of the assumption of parameter invariance and test validity.

Keywords

TIMSS 2015, Mixture item response theory, latent class, heterogeneity, validity

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Details

Primary Language

English

Subjects

Other Fields of Education

Journal Section

Research Article

Authors

Fatıma Münevver Saatçioğlu ^*
0000-0003-4797-207X
Türkiye

Hakan Yavuz Atar
0000-0001-5372-1926
Türkiye

Publication Date

December 1, 2020

Submission Date

April 26, 2020

Acceptance Date

June 11, 2020

Published in Issue

Year 2020 Volume: 7 Number: 3

DOI

https://doi.org/10.17275/per.20.41.7.3

IZ

https://izlik.org/JA58TZ77EW

APA

Saatçioğlu, F. M., & Atar, H. Y. (2020). A Study on the Identification of Latent Classes Using Mixture Item Response Theory Models: TIMSS 2015 Case. Participatory Educational Research, 7(3), 180-191. https://doi.org/10.17275/per.20.41.7.3

AMA

1.Saatçioğlu FM, Atar HY. A Study on the Identification of Latent Classes Using Mixture Item Response Theory Models: TIMSS 2015 Case. PER. 2020;7(3):180-191. doi:10.17275/per.20.41.7.3

Chicago

Saatçioğlu, Fatıma Münevver, and Hakan Yavuz Atar. 2020. “A Study on the Identification of Latent Classes Using Mixture Item Response Theory Models: TIMSS 2015 Case”. Participatory Educational Research 7 (3): 180-91. https://doi.org/10.17275/per.20.41.7.3.

EndNote

Saatçioğlu FM, Atar HY (December 1, 2020) A Study on the Identification of Latent Classes Using Mixture Item Response Theory Models: TIMSS 2015 Case. Participatory Educational Research 7 3 180–191.

IEEE

[1]F. M. Saatçioğlu and H. Y. Atar, “A Study on the Identification of Latent Classes Using Mixture Item Response Theory Models: TIMSS 2015 Case”, PER, vol. 7, no. 3, pp. 180–191, Dec. 2020, doi: 10.17275/per.20.41.7.3.

ISNAD

Saatçioğlu, Fatıma Münevver - Atar, Hakan Yavuz. “A Study on the Identification of Latent Classes Using Mixture Item Response Theory Models: TIMSS 2015 Case”. Participatory Educational Research 7/3 (December 1, 2020): 180-191. https://doi.org/10.17275/per.20.41.7.3.

JAMA

1.Saatçioğlu FM, Atar HY. A Study on the Identification of Latent Classes Using Mixture Item Response Theory Models: TIMSS 2015 Case. PER. 2020;7:180–191.

MLA

Saatçioğlu, Fatıma Münevver, and Hakan Yavuz Atar. “A Study on the Identification of Latent Classes Using Mixture Item Response Theory Models: TIMSS 2015 Case”. Participatory Educational Research, vol. 7, no. 3, Dec. 2020, pp. 180-91, doi:10.17275/per.20.41.7.3.

Vancouver

1.Fatıma Münevver Saatçioğlu, Hakan Yavuz Atar. A Study on the Identification of Latent Classes Using Mixture Item Response Theory Models: TIMSS 2015 Case. PER. 2020 Dec. 1;7(3):180-91. doi:10.17275/per.20.41.7.3

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