کریمی، عبدالعظیم. (1388). مجموعه سئوالهای علوم و ریاضیات تیمز TIMSS (پایه سوم راهنمایی). تهران: پژوهشگاه مطالعات آموزش و پرورش.
Barrett, P. (2007). Structural Equation Modeling: Adjusting model fit. Personality and Individual Differences, 42, 815-824.
Beaton, A. E.(1998). Comparing cross-national student performance on TIMSS using different test items. International Journal of Educational Research, 29, 529-542.
Brown, T. A.(2006). Confirmatory factor analysis for applied research. NY: The Guilford Press.
Byrne, B. M., & Stewart, S,. M. (2003). The MACS approach to testing for multigroup invariance of a second-order factor structure: Awalk through the process. Structural Equatiopn Modeling, 13, 287-321.
Campbell, H. L., Barry, C. L., Joe, J. N. & Finney, S. J. (2008). Configural, metric and scalar invarince of the modified achievement goal questinnaire across africanamerican and white university studenys. Educational and Psychological Measurement, 68, 988-1007.
Cheung, G. W., & Rensvold, R. B. (2002). Evaluating goodness-of-fit indexes for testing measurement invariance. Structural Equation Modeling, 9, 233–255.
DeCarlo, L. T.(1997). On the meaning and use of kurtosis. Psychological Methods, 2, 292-307.
Dorans, N. J., & Kulick, E. (1986). Demonstrating the utility of the standardization approach to assessing unexpected differential item performance on the Scholastic Aptitude Test. Journal of Educational Measurement, 23, 355-368.
Dorans, N. J., & Kulick, E. (2006). Differential item functioning on the Mini-Mental State Examination : An application of the Mantel-Haenszel and standardization pricedures. Medical Care, 44(Suppl 3),S107-S114.
Ercikan, K.(1998). Translation effects in international assessments. International Journal of Educational Research, 29, 543-553.
Ercikan, K., & Koh, K. (2005). Examining the construct comparability of the English and French versions of TIMSS. International Journal of Testing, 5, 23-35.
Ercikan, K., & McCreith, T. (2002). Effects of adaptations on comparability of test items and test scores. In D. F. Robitaille & A. E. Beaton. (Eds.), Secondary Analysis of the TIMSS Data(391-405). Kluwer Academic Publishers.
Fleer, P.F.(1993) A Monte Carlo assessment of a new measure of item and test bias. Illinois Institute of Technology. Dissertation Abstracts International. 54(04B):2266.
Flowers, C. P., Oshima, T. C., & Raju, N.S.(1999). A description and demonstration of the polytomous DFIT framework. Applied Psychological Measurement. 23,309–32.
Frase, C.(1988). NOHARM: An IBM PC program for fitting both unidimensional and multidimensional normal ogive models of latent trait theory. Armidale, Australia:The University of New England.
Floyd; F.J. , & Widaman, K. F. (1995). Factor analysis in development and refinement of clinical assessment instrument . Psychological Assessment, 3, 286-299.
Horn, J. L., & McArdle, J. J. (1992). A practical and theoretical guide in measurement invariance in aging research. Experimental Aging Research, 18, 117-144.
Kline, P. (2005). Principles and practice of structural equation modeling (2nd ed.). New York: Guilford Press.
Kline, P. (2011). Principles and practice of structural equation modeling (3rd ed.). New York: Guilford Press.
Lee, Y-S., Park, Y-S., & Tayalan, D. (2011). A cognitive diagnostic modeling of attribute mastery in Massachusetts, Minnesota, and U.S national sample using TIMSS 2007. International Journal of testing, 11, 144-177.
Little, T. D.(1997). Mean and covariance structures(MACS) analysis of cross-cultural data: Practical and theoretical issues. Multivariate Behavioral Research, 32, 53-76.
Muthén, L. K., & Muthén, B. O. (1998–2010). Mplus user’s guide (6th ed.). Los Angeles: Muthén & Muthén.
Orlando-Edelen, M., Thissen, D., Teresi, J. A., Kleinman, M., & Ocepek-Welikson, K. (2006). Identification of differential item functioning using item response theory and the likelihood-based model comparison approach: Application to the Mini-mental status examination. Medical Care, 44, S134–S142.
Raju, N. S.(1999). DFIT5P: A fortran program for calculating dichotomous DIF/DTF[computer program]. Chicago, Il: Illinois Institute of Technology.
Raju, N. S., Van der Linden, W., & Fleer, P.(1995). An IRT-based internal measure of test bias with applications for differential item functioning. Applied Psychological Measurement, 19, 353-368.
Reise, S. P., Widaman, K. F., & Pugh, R. H. (1993). Confirmatory factor analysis and item response theory: Two Approaches for exploring measurement invariance, Psychological Bulletin, 114, 552-566.
Teresi, J. A.(2006). Overview of quantitative measurement methods: Equivalence, invariance and differential item functioning in health applications. Medical Care,(Supll 3), 44, S39-S49.
Teresi, J. A., Kleinman, M. & Ocepek-Welikson, K. (2000). Modern psychometric methods for detection of differential item functioning: Application to cognitive assessment measures. Statistics in Medicine, 19, 1651-1683.
Teresi, J. A., Ocepek-Welikson, K., Kleinman, M., Cook, K. F., et al. (2007). Evaluation measurement equivalence using the item response theory log-likelihood ratio (IRTLR) method to assess differential item functioning(DIF): Applications (with illustration) to measure physical functioning ability and general distress. Quality Life Research, 16(Suppl 1), 43-68.
Teresi, J. A., Ocepek-Welikson, K., Kleinman, M., Eimicke, J. P., et al. (2009). Analysis of differential item functioning in the depression item bank from the Patient Reported Outcome Measurement Information System (PROMIS): An item response approach. Psychology Science Quarterly, 51, 148-180.
Thissen, D. (2001). IRTLRDIF(version 2.02b): Software for the computation of the statistics involved in item response theory likelihood-ratio tests for differential item functioning [Computer program]. Chapel Hill, NC: L. L. Thurstone Psychometric Laboratory.
Thissen, D., Chen, W., & Bock, D.(2003). MULTIOLOG: multiple category item analysis and test scoring using item response theory (Version 7.03). Lincolnwood, IL: Scientific Software International.
Thissen, D., Steinberg, L., & Kuang, D.(2002). Quick and easy implementation of the Benjamini-Hochberg procedure for controlling the false positive rate in multiple comparisions. Journal of Educational and Behavioral Statistics, 24, 77-83.
Vandenberg, R. J., & Lance, C. E. (2000). A review and synthesis of the Measurement invariance literature: Suggestions, practices, and recommendations for organizational research. Organizational Research Methods, 3, 4-70.
Wu, A. D., Li, Z. & Zumbo, B. D. (2007). Decoding the meaning of factorial invariance and updating the practice of multi-group confirmatory factor analysis: A demonstration with TIMSS data.
Practical assessment Research & Evaluation, 12, 1-26. Available Online:
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