Ölçme Değişmezliği Çalışmalarının Bibliyometrik Analizi

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Byrne, B. M. (2016). Structural equation modeling with AMOS: Basic concepts, applications, and programming. Routledge.

Byrne, B. M., Shavelson, R. J. & Muthen, B. (1989). Testing for the equivalence of factor covariance and mean structures: The issue of partial measurement invariance. Psychological Bulletin, 105(3), 456-466.

Cahlik, T. (2000). Comparison of the maps of science. Scientometrics, 49, 373–387

Callon, M., Courtial, J. P. & Laville, F. (1991). Co-word analysis as a tool fordescribing the network of interactions between basic and technological research: The case of polymer chemistry. Scientometrics, 22, 155–205

Chen, F.F. (2007). Sensitivity of goodness of fit indexes to lack of measurement invariance. Structural Equation Modeling a Multidisciplinary Journal, 14(3), 464-504. https://doi.org/10.1080/10705510701301834

Chen, F. F., Sousa, K. H. & West, S. G. (2005). Teacher’s corner: Testing measurement invariance of Second-Order factor models. Structural Equation Modeling a Multidisciplinary Journal, 12(3), 471-492. https://doi.org/10.1207/s15328007sem1203_7

Cheung, G. W. & Rensvold, R. B. (2002). Evaluating goodness-of-fit indexes for testing measurement invariance. Structural Equation Modeling: A Multidisciplinary Journal, 9(2), 233-255.

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Crawford, J. R. & Henry, J. D. (2004). The positive and negative affect schedule (PANAS): Construct validity, measurement properties and normative data in a large non-clinical sample. British Journal of Clinical Psychology, 43(3), 245–265. https://doi.org/10.1348/0144665031752934

Crocker, L. M. & Algina, J. (1986). Introduction to classical and modern test theory. New York: Holt, Rinehart and Winston.

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Fu, H., Jing, X., Lin, J., Wang, L., Jiang, H., Yu, B. & Sun, M. (2022). Knowledge domain and hotspots analysis concerning applications of two-photon polymerization in biomedical field: A bibliometric and visualized study. Frontiers in Bioengineering and Biotechnology, 10,1030377. https://doi.org/10.3389/fbioe.2022.1030377

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González-Sarmiento, E., Roa-Perez, J., & Ortiz-Ospino, L. (2021). Big Data and Artificial Intelligence in the Development of Industry 4.0; A Bibliometric Analysis. IOP Conference Series Materials Science and Engineering, 1154(1), 012008. https://doi.org/10.1088/1757-899x/1154/1/012008

Horn, J. L. & McArdle, J. J. (1992). A practical and theoretical guide to measurement invariance in aging research. Experimental Aging Research, 18(3), 117-144.

İmrol, F. (2017). PISA 2012 Türkiye örnekleminde matematiğe yönelik motivasyon ve öz-inanç yapılarının ölçme değişmezliğinin incelenmesi [Yayınlanmamış yüksek lisans tezi]. Ankara Üniversitesi Eğitim Bilimleri Enstitüsü, Ankara.

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Kankaras, M., Vermunt, J. K. & Moors, G. (2011). Measurement equivalence of ordinal items: A comparison of factor analytic, item response theory, and latent class approaches. Sociological Methods & Research, 40(2), 279-310.

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Li, K., Rollins, J. & Yan, E. (2018) Web of science use in published research and review papers 1997-2017: A selective, dynamic, cross-domain, content-based analysis. Scientometrics, 115, 1–20. https://doi.org/10.1007/s11192-017-2622-5

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Mark, B. A. & Wan, T. T. H. (2005). Testing measurement equivalence in a patient satisfaction instrument. Western Journal of Nursing Research, 27(6), 772-787.

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Steenkamp, J. E. M., & Baumgartner, H. (1998). Assessing measurement invariance in cross-national consumer research. Journal of Consumer Research, 25(1), 78-107. https://doi.org/10.1086/209528

Uzun, N. B. (2022). Global research trends in measurement invariance: A systematic bibliometric analysis of the framework and the structures of knowledge. International Innovative Education Researcher (IEdRes), 2(2), 1-46. https://doi.org/10.29228/iedres.62551

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Yandi, A., Köse, İ. A. & Uysal, Ö. (2017). Farklı yöntemlerle ölçme değişmezliğinin i̇ncelenmesi: PISA 2012 örneği. Mersin Üniversitesi Eğitim Fakültesi Dergisi, 243. https://doi.org/10.17860/mersinefd.305952

Zumbo, B. D. (2007). Three generations of DIF analyses: Considering where it has been, where it is now, and where it is going. Language Assessment Quarterly, 4(2), 223-233.