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Tek ve Çok Boyutlu Madde Tepki Kuramına Dayalı Bir Veri Analizi Yazılımı: IRTPRO 2.1

Year 2015, Volume: 6 Issue: 2, 0 - 0, 02.01.2016
https://doi.org/10.21031/epod.29597

Abstract

Öz

Bu çalışmada, farklı madde tepki kuramı (MTK) modellerine göre analiz yapmaya olanak sağlayan “IRTPRO 2.1 for Windows” adlı bilgisayar programını tanıtmak amaçlanmıştır. Bu doğrultuda çalışmada IRTPRO 2.1 yazılımı için gerekli donanım özellikleri, programa erişim, programın çalıştırılması, analizler, çıktı dosyaları, uyum iyiliği indeksleri ve betimsel istatistikler üzerinde durulmuştur. Ayrıca farklı yapılara ilişkin 20 madde ve 2000 kişilik simülatif verilerle örnek uygulama yapılmıştır. Elde edilen sonuçlardan yola çıkarak farklı IRT modellerini analiz etmek için gerekli kestirim süresi hakkında araştırmacılara bilgi vermek amaçlanmıştır.  Yapılan derlemeler ve araştırmacıların deneyimleri sonucunda elde ettikleri bilgiler yardımıyla IRTPRO 2.1 hakkında bir ön bilgi verilmeye çalışılmış, programın avantajlı ve dezavantajlı yönleri tartışılmıştır. IRTPRO 2.1; MTK’ya dayalı veri analizi yapan programların yerine getirebildiği fonksiyonların tek bir programla yapılabilmesini sağlaması bakımından kullanışlı bir yazılımdır. Çalışmalarında bu yazılımdan yararlanmak isteyen araştırmacılara, üstünlükler ve sınırlılıklar açısından yazılımın deneme sürümünü incelemeleri ve bundan sonra lisansı satın alıp almamaya karar vermeleri önerilmektedir.  

References

  • Ackerman, T.A. (1994). Using multidimensional item response theory to understand what items and tests are measuring. Applied Measurement In Education, 7(4), 255-278.
  • Ansley, T. N., & Forsyth, R. A. (1985). An examination of the characteristics of unidimensional IRT parameter estimates derived from two-dimensional data. Applied Psychological Measurement, 9(1), 37-48.
  • Bock, R. D., Gibbons, R., Schilling, S. G., Muraki, E., Wilson, D. T., & Wood, R. (2003). TESTFACT 4.0
  • [Computer software and manual]. Lincolnwood, IL: Scientific Software International.
  • Cai, L. (2013) . flexMIRT version 2: Flexible multilevel multidimensonal item analysis and test scoring. [computer software] Chapel Hill, NC: Vector Psychometric Group.
  • Cai, L., du Toit, S. H. C., & Thissen, D. (2011). IRTPRO: User guide. Lincolnwood, IL: Scientific Software International.
  • Chen, W. H., & Thissen, D. (1997). Local dependence indexes for item pairs using item response theory. Journal o f Educational and Behavioral Statistics, 22(3), 265-289.
  • Embretson, S.E., & Reise, S.P. (2000). Item response theory for psychologists. Lawrence Erlbaum Associate, Inc.
  • Fraser, C. & McDonald, R. (1988). NOHARM: Least squares item factor analysis. Multivariate Behavioral Research, 23, 267-269.
  • Hambleton, R.K., & Swaminathan, H. (1985). Item response theory principles and applications. Kluwer-Nijhoff Publishing. Boston-USA.
  • Han, K. T. ve Paek, I. (2014). A review of commercial software packages for multidimensional IRT modeling. Applied Psychological Measurement, 38 (6), 486-498.
  • Linacre, J. M. (2011). Winsteps Rasch measurement [computer program]. Beaverton, OR. winsteps.com’dan erişilmiştir.
  • Muraki, E., & Bock, R. D. (2003). PARSCALE 4: IRT item analysis and test scoring for rating-scale data
  • [Computer software]. Chicago, IL: Scientific Software International.
  • Orlando, M., & Thissen, D. (2000). Likelihood-based item fit indices for dichotomous item response theory models. Applied Psychological Measurement, 24, 50-64.
  • Orlando, M. & Thissen, D. (2003). Further investigation of the performance of S-X2: An item fit index for use with dichotomous item response theory models. Applied Psychological
  • Measurement, 27, 289-298.
  • Reckase, M. D. (2009). Multidimensional item response theory (Statistics for social and behavioral sciences). New York: Springer.
  • Rizopoulos, D. (2015). Package “ltm”, Latent Trait Models under IRT. cran.r-project.org/web/packages/ltm/ltm.pdf adresinden erişilmiştir.
  • Rusch, T., Mair, P. & Hatzinger, R. Psychometrics with R: A review of CRAN packages for item response theory. Ulaşım Tarihi: 10 Mayıs 2015 http://epub.wu.ac.at/4010/
  • Thissen, D. (2003). MULTILOG 7: Multiple categorical item analysis and test scoring using item response theory [Computer software]. Chicago, IL: Scientific Software International.
  • Way, W, D., Ansley, T. N., & Forsyth, R. A. (1988). Unidimensional IRT estimates the comparative effects of compensatory and noncompensatory two-dimensional data on unidimensional IRT estimates. Applied Psychological Measurement, 12(3), 239-252.
  • Yao, L. (2003). BMIRT: Bayesian multivariate item response theory. [Computer software]. Monterey, CA: CTB/McGraw-Hill.
  • Zimowski, M. F., Muraki, E., Mislevy, R. J., & Bock, R. D. (2003). BILOG-MG: Multiple-group IRT analysis and test maintenance for binary items (Version 3) [Computer software]. Chicago, IL:Scientific Software International.
Year 2015, Volume: 6 Issue: 2, 0 - 0, 02.01.2016
https://doi.org/10.21031/epod.29597

Abstract

References

  • Ackerman, T.A. (1994). Using multidimensional item response theory to understand what items and tests are measuring. Applied Measurement In Education, 7(4), 255-278.
  • Ansley, T. N., & Forsyth, R. A. (1985). An examination of the characteristics of unidimensional IRT parameter estimates derived from two-dimensional data. Applied Psychological Measurement, 9(1), 37-48.
  • Bock, R. D., Gibbons, R., Schilling, S. G., Muraki, E., Wilson, D. T., & Wood, R. (2003). TESTFACT 4.0
  • [Computer software and manual]. Lincolnwood, IL: Scientific Software International.
  • Cai, L. (2013) . flexMIRT version 2: Flexible multilevel multidimensonal item analysis and test scoring. [computer software] Chapel Hill, NC: Vector Psychometric Group.
  • Cai, L., du Toit, S. H. C., & Thissen, D. (2011). IRTPRO: User guide. Lincolnwood, IL: Scientific Software International.
  • Chen, W. H., & Thissen, D. (1997). Local dependence indexes for item pairs using item response theory. Journal o f Educational and Behavioral Statistics, 22(3), 265-289.
  • Embretson, S.E., & Reise, S.P. (2000). Item response theory for psychologists. Lawrence Erlbaum Associate, Inc.
  • Fraser, C. & McDonald, R. (1988). NOHARM: Least squares item factor analysis. Multivariate Behavioral Research, 23, 267-269.
  • Hambleton, R.K., & Swaminathan, H. (1985). Item response theory principles and applications. Kluwer-Nijhoff Publishing. Boston-USA.
  • Han, K. T. ve Paek, I. (2014). A review of commercial software packages for multidimensional IRT modeling. Applied Psychological Measurement, 38 (6), 486-498.
  • Linacre, J. M. (2011). Winsteps Rasch measurement [computer program]. Beaverton, OR. winsteps.com’dan erişilmiştir.
  • Muraki, E., & Bock, R. D. (2003). PARSCALE 4: IRT item analysis and test scoring for rating-scale data
  • [Computer software]. Chicago, IL: Scientific Software International.
  • Orlando, M., & Thissen, D. (2000). Likelihood-based item fit indices for dichotomous item response theory models. Applied Psychological Measurement, 24, 50-64.
  • Orlando, M. & Thissen, D. (2003). Further investigation of the performance of S-X2: An item fit index for use with dichotomous item response theory models. Applied Psychological
  • Measurement, 27, 289-298.
  • Reckase, M. D. (2009). Multidimensional item response theory (Statistics for social and behavioral sciences). New York: Springer.
  • Rizopoulos, D. (2015). Package “ltm”, Latent Trait Models under IRT. cran.r-project.org/web/packages/ltm/ltm.pdf adresinden erişilmiştir.
  • Rusch, T., Mair, P. & Hatzinger, R. Psychometrics with R: A review of CRAN packages for item response theory. Ulaşım Tarihi: 10 Mayıs 2015 http://epub.wu.ac.at/4010/
  • Thissen, D. (2003). MULTILOG 7: Multiple categorical item analysis and test scoring using item response theory [Computer software]. Chicago, IL: Scientific Software International.
  • Way, W, D., Ansley, T. N., & Forsyth, R. A. (1988). Unidimensional IRT estimates the comparative effects of compensatory and noncompensatory two-dimensional data on unidimensional IRT estimates. Applied Psychological Measurement, 12(3), 239-252.
  • Yao, L. (2003). BMIRT: Bayesian multivariate item response theory. [Computer software]. Monterey, CA: CTB/McGraw-Hill.
  • Zimowski, M. F., Muraki, E., Mislevy, R. J., & Bock, R. D. (2003). BILOG-MG: Multiple-group IRT analysis and test maintenance for binary items (Version 3) [Computer software]. Chicago, IL:Scientific Software International.
There are 24 citations in total.

Details

Journal Section Articles
Authors

Esin Yılmaz Koğar

Derya Çakıcı Eser

Publication Date January 2, 2016
Published in Issue Year 2015 Volume: 6 Issue: 2

Cite

APA Yılmaz Koğar, E., & Çakıcı Eser, D. (2016). Tek ve Çok Boyutlu Madde Tepki Kuramına Dayalı Bir Veri Analizi Yazılımı: IRTPRO 2.1. Journal of Measurement and Evaluation in Education and Psychology, 6(2). https://doi.org/10.21031/epod.29597