Barcelos, A. M. F., & Kalaja, P. (2011). Introduction to beliefs about SLA revisited. System, 39, 281– 289.
Cheung, G. W., & Rensvold, R. B. (2002). Evaluating goodness-of-fit indexes for testing measurement invariance. Structural Equation Modeling, 9, 233–255.
Dörnyei, Z., & Ushioda, E. (Eds.). (2009). Motivation, language identity and the L2 self. Bristol, UK: Multilingual Matters.
Dweck, C. S. (2006). Mindset: The new psychology of success. Random House.
Dweck, C. S. (1999). Self-theories: Their role in motivation, personality, and development. Philadelphia: Taylor & Francis.
Dweck, C. S., Chiu, C., & Hong, Y. (1995). Implicit theories and their role in judgments and reactions: A word from two perspectives. Psychological Inquiry, 6, 267-285.
Dweck, C.S., & Leggett, E.L. (1988). A social-cognitive approach to motivation and personality. Psychological Review, 95(2), 256-273.
Elahi Shirvan, M., Lou, N. M., & Taherian, T. (2021). Where do language mindsets come from? An ecological perspective on EFL students’ mindsets about L2 writing. Journal of Psycholinguistic Research, 50 (5), 1065-1086.
Ferrer, E., Balluerka, N., &Widaman, K. F. (2008). Factorial invariance and the specification of second-order latent growth models. Methodology, 4(1), 22-36.
Gardner, R.C. (2010). Motivation and second language acquisition: The socio-educational model. New York: Peter Lang.
Gass, S., & Plonsky, L. (2020). Introducing the SSLA methods forum. Studies in Second Language Acquisition, 42, 667-669.
Haimovitz, K., & Dweck, C. (2016). Parents’ views of failure predict children’s fixed and growth intelligence mind-sets. Psychological Science, 27(1), 859-869.
Harring J. R. (2009). A nonlinear mixed effects model for latent variables. Journal of Educational and Behavioral Statistics, 34(3), 293–318.
Hiver, P., & Al-Hoorie, A. H. (2019). Research methods for complexity theory in applied linguistics. Bristol, UK: Multilingual Matters.
Hong, Y., Chiu, C., Dweck, C. S., Lin, D., & Wan, W. (1999). Implicit theories, attributions, and coping: A meaning system approach. Journal of Personality and Social Psychology, 77, 588– 599.
Horwitz, E. K. (1988). The beliefs about language learning of beginning university foreign language students. Modern Language Journal, 72 (1), 283– 294.
Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1-55.
Little, T. D. (2013). Longitudinal structural equation modeling. New York, NY: Guilford.
Lorenz, F. O., Wickrama, K. A. S., & Conger, R. D. (2004). Modeling continuity and change in family relations with panel data. In R. D. Conger, F. O. Lorenz, & K. A. S. Wickrama (Eds.), Continuity and change in family relations: Theory, methods, and empirical findings, (pp. 15–62). Mahwah, NJ: Erlbaum.
Lo Lou, N. M., & Noels, K. A. (2016). Changing language mindsets: Implications for goal orientations and responses to failure in and outside the second language classroom. Contemporary Educational Psychology, 46(1), 22-33
Lou, N. M., & Noels, K. A. (2017). Measuring language mindsets and modeling their relations with goal orientations and emotional and behavioral responses in failure situations. The Modern Language Journal, 101(1), 214-243.
Lou, M. & Noels, K. A. (2019). Promoting growth in foreign and second language education: A research agenda for mindsets in language learning and teaching. System, 86. 102126.
Lou, N. M., & Noels, K. A. (2020). Mindsets about language learning and support for immigrants’ integration. International Journal of Intercultural Relations, 79(1), 46-57.
MacIntyre, P. D., Mercer, S., &Gregersen, T. (2020). Complexity perspectives on researching language learner and teacher psychology. Bristol, UK: Multilingual Matters.
Marsh, H. W., Hau, K. T., & Wen, Z. (2004). In search of golden rules: Comment on hypothesis-testing approaches to setting cutoff values for fit indexes and dangers in overgeneralizing Hu and Bentler's (1999) findings. Structural Equation Modeling, 11(3), 320-341.
Matsunaga, M. (2010). How to factor-analyze your data right: Do's don'ts, and how-to's. International Journal of Psychological Research, 3(1), 97-110.
McArdle, J.J. (1988). Dynamic but structural equation modeling of repeated measures data. In: Nesselroade, J.R., & Cattell, R.B. (Eds.), Handbook of multivariate experimental psychology (pp: 561-614). New York, NY: Plenum Press.
Meade, A., Johnson, E., &Braddy, P. (2008). Power and sensitivity of alternative fit indices in tests of measurement invariance. The Journal of applied psychology, 93(2), 568-92.
Mercer, S., & Ryan, S. (2010). A mindset for EFL: Learners’ beliefs about the role of natural talent. ELT Journal, 64, 436-444.
Meredith, W., & Horn, J. (2001). The role of factorial invariance in modeling growth and change. In A. Sayer & L. Collins (Eds.), New methods for the analysis of change (pp. 203–240). Washington, DC: American Psychological Association.
Molway, L., & Mutton, T. (2020). Changing mindsets in the modern foreign languages classroom: an intervention combining intelligence theories and reading strategies. The Language Learning Journal, 48(5), 598-612.
Robins, R., & Pals, J. (2002). Implicit self-theories in the academic domain: Implications for goal-orientation, attributions, affect, and self-esteem change. Self and Identity, 1(4), 313-336.
Ryan, S. & Mercer, S. (2011). Natural talent, natural acquisition, and study abroad: Learner attributions of agency in language learning. In G. Murray, X. Gao & T. Lamb (Eds.), Identity, motivation and autonomy in language learning (pp. 160–176). Bristol, UK: Multi-lingual Matters.
Ryan, S. & Mercer, S. (2012). Implicit theories: Language learning mindsets. In S. Mercer, S. Ryan, & M. Williams (Eds), Psychology for language learning: Insights from research, theory, and practice (pp. 74–89). Basingstoke, UK: Palgrave Macmillan.
Thompson, M. S., & Green, S. B. (2006). Evaluating between-group differences in latent means. In G. R. Hancock & R. O. Mueller (Eds.), Structural equation modeling: A second course (pp. 119– 169). Greenwich: CT: Information Age.
Wenden, A. (1998). Metacognitive knowledge and language learning. Applied Linguistics, 19(1), 515-537.
Whittaker, T. A., Beretvas, S. N., & Falbo, T. (2014). Dyadic curve-of- factors model: an introduction and illustration of a model for longitudinal non-exchangeable dyadic data. Structural Equation Modelling, 21(2), 303-317.
Wickrama, K. A. S., Lee T. K., O’Neal C. W. & Lorenz, F. O. (2016). Higher-order growth curves and mixture modeling with Mplus. New York: Routledge.
Wilson, A., & English, J. (2017). The motivated fluidity of lay theories of change. In The Science of Lay Theories (pp.17-43). Springer, Cham.

[1] Chojecki, A., Telejko, I. (2003). The foundry engineering of cast steel. Kraków: Akapit. (in Polish).
[2] Perzyk, M., Waszkiewicz, S., Kaczorowski, M., Jopkiewicz, A. (2004). Foundry engineering. Warszawa: WNT. (in Polish).
[3] Gunn, R. (1997). Duplex stainless steels - microstructure, properties and applications. Cambridge: Woodhead Publishing.
[4] Stradomski, G. (2016). Influence of the sigma phase morphology on shaping the properties of steel and duplex cast steel. Częstochowa: Publishers of Czestochowa University of Technology. (in Polish).
[5] Voronenko, B. (1997). Austenitic-ferritic stainless steels: A state-of-the-art review. Metal Science and Heat Treatment. 39(10), 428-437. https://doi.org/10.1007/BF02484228.
[6] Kalandyk, B. (2011). Characteristics of microstructure and properties of castings made from ferritic-austenitic steel. Katowice – Gliwice: AFE. (in Polish).
[7] Stradomski, G. (2017). The analysis of AISI A3 type ferritic-austenitic cast steel crystallization mechanism. Archives of Foundry Engineering. 17(3), 229-233. https://doi.org/10.1515/afe-2017-0120.
[8] Šenberger, J., Pernica, V., Kaňa, V. & Záděra, A. (2018). Prediction of ferrite content in austenitic Cr-Ni steel castings during production. Archives of Foundry Engineering. 18(3), 91-94. https://doi.org/10.24425/123608.
[9] Kaňa, V., Pernica, V., Záděra, A. & Krutiš, V. (2019). Comparison of methods for determining the ferrite content in duplex cast steels. Archives of Foundry Engineering. 19(2), 85-90. https://doi.org/10.24425/afe.2019.127121.
[10] Yamamoto, R., Yakuwa, H., Miyasaka, M. & Hara, N. (2019). Effects of the α/γ-phase ratio on the corrosion behavior of cast duplex stainless steel. Corrosion. 76(9), 815-825. https://doi.org/10.5006/3464.
[11] Jurczyk, P., Wróbel, T. & Baron, C. (2021). The influence of hyperquenching temperature on microstructure and mechanical properties of alloy cast steel GX2CrNiMoCuN 25-6-3-3. Archives of Metallurgy and Materials. 66(1), 73-80. https://doi.org/10.24425/amm.2021.134761.
[12] Kalandyk, B., Zapała, R. & Pałka, P. (2022). Effect of isothermal holding at 750 °C and 900 °C on microstructure and properties of cast duplex stainless steel containing 24% Cr-5% Ni-2.5% Mo-2.5% Cu. Materials. 15(23), 1-17. https://doi.org/10.3390/ma15238569.
[13] Wróbel, T., Jurczyk, P., Baron, C. & Jezierski, J. (2023). Search for the optimal soaking temperature for hyperquenching of the GX2CrNiMoCuN 25-6-3-3 duplex cast steel. International Journal of Metalcasting. https://doi.org/10.1007/s40962-023-01020-x. (in print).
[14] Głownia, J. & Banaś, J. (1997). Effect of modification and segregation on the delta-ferrite morphology and corrosion resistance of cast duplex steel. Metallurgy and Foundry Engineering. 23(2), 261-267.