Examination of Student Growth Using Gain Score and Categorical Growth Models

Authors : Hatice Cigdem YAVUZ, Ömer KUTLU

Pages : 487-505

Doi:10.21449/ijate.616795

View : 13 | Download : 4

Publication Date : 2019-10-15

Article Type : Research Paper

Abstract :In this study, gain score, and categorical growth models were used to examine the role of student insert ignore into journalissuearticles values(gender and socioeconomic level); and school characteristics insert ignore into journalissuearticles values(school size and school resources); in the student growth on comprehension skills in language. The participants of this study were 2,416 sixth-grade students in 2011 who became seventh-grade students in 2012. The data was collected through two achievement tests, student and school questionnaires. Two achievement tests were calibrated using the Rasch Model and were scaled using the concurrent estimation method. Moreover, the cut-off scores of these tests were determined by using the bookmark method. Students’ growth was modelled with the gain score and categorical growth models. All data was analyzed using multilevel models. Results showed that some students did not achieve sufficient gains to advance to higher performance levels. Although some schools’ average gains were higher, their performance was still not significant enough in terms of tests’ standards. Moreover, the analyses demonstrated that the student gain scores and growth categories varied significantly among the schools. In addition, the study was able to determine student and school characteristics that have an impact on the students` gain scores and categorical growth. Given the different aspects gained about students’ performance with these models, it is recommended to utilize different growth models in schools. 
Keywords : Gain score model, Categorical growth model, Student growth, Multilevel modeling