Analysis of model fit and item parameter of work and energy test using item response theory

Yustiandi Yustiandi, Duden Saepuzaman

Abstract


One of the important parts in assessing learning outcomes is using a good instrument that is analyzed using an appropriate analytical model and can measure students' abilities accurately. This study aims to determine the model fit and item parameter of work and energy test using item response theory. This research is a quantitative research that was carried out on the responses of 1177 high school students spread across Banten Province. The instrument is a set of work and energy tests consisting of 25 multiple choices. The data analysis used the item response theory approach with statistical methods ranging from determining the fit model to the item characteristics.. The analysis showed the students' responses to the fit energy and effort test with 9 items of 1 PL model, 17 items of 2 PL model, and 16 items of 3 PL model. Based on the percentage, the 2PL model is suitable than 1PL and 3PL. Further analysis determines the item parameter value by referring to the 2PL model, namely the item parameter difficulty level (b) and discrimination (a). The result shows that all items have difficulty in the range of 2.501 to 1.595, and the discrimination was in the range of 0.289 to 1.109. Based on this analysis, it can be concluded that all items in this test are the good item criteria

 


Keywords


item response theory, logistic parameter model, work and energy

Full Text:

PDF

References


Alagumalai, S., Curtis, D. D., & Hungi, N. (2005). Applied Rasch measurement: A book of exemplars (pp. 1-15). Dordrecht,

Anggreyani, A. (2009). Penerapan Teori Uji Klasik dan Teori Respon Butir dalam Mengevaluasi Butir Soal. Skripsi pada Departemen Statistika IPB: tidak diterbitkan.

Aristiawan, A., Retnawati, H., & Istiyono, E. (2019). Analysis of Model fit and Item Parameter of Mathematics National Examination Using Item Response Theory. JPP (Jurnal Pendidikan dan Pembelajaran), 25(2), 40-46.

Baskoro, E. P., & Wihaskoro, A. M. (2013). Modul Perkuliahan Evaluasi Pembelajaran.

DeMars, C. (2010). Item response theory. Oxford University Press.

Djemari, M. (2008). Teknik penyusunan instrumen tes dan non tes. Yogyakarta: Mitra Cendekia.

Ebel, R. L., & Frisbie, D. A. (1986) Essentials of. Educational Measurement

Griffin, P., & Nix, P. (1991). Assessment and reporting: A new approach.

Gronlund, N. E. (1998). Assessment of student achievement. Allyn & Bacon Publishing, Longwood Division, 160 Gould Street, Needham Heights, MA 02194-2310; tele.

Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2009). Análise multivariada de dados. Bookman Editora.

Hambleton, R. K., & Swaminathan, H. (1985). Item response theory. Boston, MA : Kluwer.Inc

Hambleton, R. K., Swaminathan, H., & Rogers, H. J. (1991). Fundamentals of item response theory. Sage.

Hattie, J. (1984). An empirical study of various indices for determining unidimensionality. Multivariate behavioral research, 19(1), 49-78.

Horn, R., Wolf, L., & Velez, E. (1992). Sistemas de medición de evaluación educacional América Latina. Reseña temática y experiencias recientes.

Hulin, C. L., Drasgow, F., & Parsons, C. K. (1983). Item response theory: Application to psychological measurement. Dorsey Press.

Oriondo, L. L., & Antonio, E. M. D. (1998). Evaluating Educational. Outcomes, Manila: Rex Book Store.

Pollard, A., & Collins, J. (2005). Reflective teaching. A&C Black.

Pollard, Andrew (Edited). Reading Reflective teaching. London : Continuous International Publishing Group

Retnawati, H. (2008). Estimasi efisiensi relatif tes berdasarkan teori respons butir dan teori tes klasik. Disertasi. Yogyakarta: Program Pascasarjana Universitas Negeri Yogyakarta.

Retnawati, H. (2014). Teori respons butir dan penerapannya: Untuk peneliti, praktisi pengukuran dan pengujian, mahasiswa pascasarjana. Yogyakarta: Nuha Medika.

Retnawati, H. (2016). Analisis kuantitatif instrumen penelitian. Yogyakarta: Parama Publishing.

Retnawati, H. (2016). Validitas reliabilitas dan karakteristik butir. Yogyakarta: Parama Publishing.

Smith, R. M. (1991). The distributional properties of Rasch item fit statistics. Educational and psychological measurement, 51(3), 541-565.The Netherlands:: Springer.

Stone, C. A., & Zhang, B. (2003). Assessing goodness of fit of item response theory models: A comparison of traditional and alternative procedures. Journal of Educational Measurement, 40(4), 331-352.

Susongko, P. (2016). Validation of science achievement test with the rasch model. Jurnal Pendidikan IPA Indonesia, 5(2), 268-277.

Widya, Hamdi dan Ahmad. (2017). Kualitas Perangkat Pembelajaran Fisika Berbasis Model Creative Problem Solving Dengan Pendekatan Open-Ended Pada Materi Usaha Dan Energi Terintegrasi Energi Biomassa. Gravity : Jurnal Ilmiah Penelitian dan Pembelajaran Fisika, 3(2), 158-171.




DOI: http://dx.doi.org/10.30870/gravity.v7i2.10563

Refbacks

  • There are currently no refbacks.


Gravity has been indexed by:

     
     

 

  

 

Gravity : Jurnal Ilmiah Penelitian dan Pembelajaran Fisika is publihed by Department of Physics Education, Universitas Sultan Ageng Tirtayasa jointly with Physical Society of Indonesia (PSI)

Creative Commons License 

Gravity : Jurnal Ilmiah Penelitian dan Pembelajaran Fisika is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License

Copyright © 2020, Gravity: Jurnal Ilmiah Penelitian dan Pembelajaran Fisika.