Ilham Falani, Nisraeni Nisraeni, Iyan Irdiyansyah

Judul	:	The Ability of Estimation Stability and Item Parameter Characteristics Reviewed by Item Response Theory Model
Abstrak	:	Abstract The objective of the study is to determine the ability of estimation stability and item parameter characteristics based on the use of logistic models. The data used are simulated data which generated using WINGEN, as much as 1000 participants sample size with length of test of 40 items. Further estimation is done using 1PL, 2PL, and 3PL model as many as ten replication. Based on result analysis, it can be seen that the parameter capability and parameter characteristics of items produced with the 1PL model, more suitable estimated with the 1PL model, the 2PL model, more suitable estimated with the 2PL model, and the 3PL model, more suitable estimated with the 3PL model. These matches can be seen from median score of the estimated correlation data and the original data generated by WINGEN. Therefore, the ability and the characteristic parameters need to pay attention to the logistic parameter model used, to make the estimation as accurate as possible.
Tahun	:	2018	Media Publikasi	:	Prosiding
Kategori	:	Prosiding	No/Vol/Tahun	:	1 / 115 / 2018
ISSN/ISBN	:	2352-5398/978-94-6252-504-7
PTN/S	:	Universitas Pakuan	Program Studi	:	PENDIDIKAN BAHASA INGGRIS
Bibliography	:	REFERENCES Cohen, A.S. & Kane, M.T. (2001). The Precision of simulation study results. Applied Psychological Measurement Journal, 25 (2), pp. 136‐145. Dali, S.Naga (2017). Psychometrika pada Pengukuran Model Rasch. Jakarta: Nagarani Citrayasa. Embretson S.E & Reise, S.P. (2000). Item Response Theory for Psychologists. New Jersey: Lawrence Erlbaum Associates Publishers Eric Loken & Kelly L.Rulison.(2010). Estimation of a four parameter item response theory model. British Journal of Mathematical and Statistical Psychology, 63, pp. 509- 525. Hambelton, R. K. (1987). The Three-Parameter Logistic Model. In D.L Mc Arthur(Ed.), Alternative approces to the assesment of Achievement. Boston, MA: Kluwe Academic Publisher Hambleton, R.K, Swaminathan H, & Roger, H.J. (1991). MMSS Fundamental Of Item Response Theory (Volume 2). California: Sage Publications. Hambleton, R. K., & Jones, R. W. (1993). Comparison Of Classical Test Theory And Item Response Theory And Their Applications To Test Development. Educational Measurement: Issues and Practice, 12(3), pp. 253-262. Nathan A.Thompson.(2009). Ability Estimation with Item Response Theory. Minessota: Assesment System Corporation. USA: Scientific Software International, Inc. Mathilda du Toit.(2013). IRT from SSI: Bilog-MG Multilog, Parcale, TestFact. Mislevy, R.J. & Bock,R.D. (1990). BILOG 3 : Item analysis & test scoring with binary logistic models. Moorseville : Scientific Sofware Inc. Mutasem Akour & Hassan Al Omari.(2013). Empirical Investigation of the Stability of IRT Item-Parameters Estimation. International online Journal of Educational Sciences, 5(2), pp. 291-301. Stabilitas Estimasi Parameter pada Regresi Logistik (Prosiding). Seminar Matematika Dan Pendidikan Matematika 2006, pp. 24-48. Yogyakarta: Universitas Negeri Yogyakart
URL	:	https://www.atlantis-press.com/proceedings/icems-17/25895147