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Measurement invariance, validity, reliability, and factor structure examination of the creativity nurturing behaviour scale for teachers: comparisons across gender in thirteen countries

    Ekta Sharma   Affiliation
    ; Sandeep Sharma   Affiliation
    ; Mohammed Amin Hamed Al-Qudah   Affiliation
    ; Canan Yildiz Affiliation
    ; Dickson Adom   Affiliation
    ; Debra Ferdinand Affiliation
    ; Zaina Mustafa Mahmoud Hamad Affiliation
    ; Alexandra Stavrianoudaki   Affiliation
    ; Reza Afhami Affiliation

Abstract

Creativity is fundamental to the overall progress of humanity and hence identified as a key competence required for being successful in the 21st century. Teaching that nurtures creativity helps not only to unfold children’s creative potential but also to enhance the effectiveness of teaching. The essential step in helping teachers to learn the principles of creativity nurturing pedagogy is to measure creativity nurturing behaviour for teachers and develop it through training. Assessment of teachers’ ability to nurture creativity is much needed. In this research we measured the creativity nurturing behaviour of 2006 teachers from various countries across global with creativity nurturing behaviour scale for teachers and analyzed the four-factor model’s reliability, validity and measurement invariance across gender and countries. The following values were obtained: Cronbach’s alpha (0.75, 0.70, 0.72, 0.79), composite reliability (0.76, 0.72, 0.701, 0.784), configural invariance (comparative fit index: 0.913, root mean square error of approximation: 0.063 and standardized root mean square residual: 0.662), metric invariance (obtained value in comparative fit index: 0.912, root mean square error of approximation: 0.061 and standardized root mean square residual: 0.52) and scalar invariance (obtained value in comparative fit index: 0.909, root mean square error of approximation: 0.064 and standardized root mean square residual: 0.7). The results of the study show that creativity nurturing behaviour scale for teachers is a valid and reliable scale which is invariant across gender and countries. Hence, the scale can be administered to measure the creativity nurturing behaviour of teachers and its results can be employed to identify the developmental needs of teachers to foster creativity in the classroom. This first scale for teachers is translated into Hindi, Arabic, Spanish, English, Turkish, and Persian.

Keyword : creativity nurturing, creativity nurturing behaviour, critical creativity, critical thinking, measurement invariance, teachers

How to Cite
Sharma, E., Sharma, S., Al-Qudah, M. A. H., Yildiz, C., Adom, D., Ferdinand, D., Mahmoud Hamad, Z. M., Stavrianoudaki, A., & Afhami, R. (2023). Measurement invariance, validity, reliability, and factor structure examination of the creativity nurturing behaviour scale for teachers: comparisons across gender in thirteen countries. Creativity Studies, 16(1), 274–296. https://doi.org/10.3846/cs.2023.16085
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References

Abraham, J., & Barker, K. (2015). Exploring gender difference in motivation, engagement and enrolment behaviour of senior secondary physics students in New South Wales. Research in Science Education, 45, 59–73. https://doi.org/10.1007/s11165-014-9413-2

Baistow, K. (2000). Cross-national research: What can we learn from inter-country comparisons? Social Work in Europe, 7(3), 8–13.

Beghetto, R. A. (2019). Creativity in classrooms. In J. C. Kaufman & R. J. Sternberg (Eds.), The Cambridge handbook of creativity (pp. 587–606). Cambridge University Press. https://doi.org/10.1017/9781316979839.029

Beghetto, R. A., & Kaufman, J. C. (Eds.). (2010). Nurturing creativity in the classroom. Cambridge University Press. https://doi.org/10.1017/CBO9780511781629

Bellanca, J., & Brandt, R. (Eds.). (2010). 21st century skills: Rethinking how students learn. Solution Tree Press.

Bentler, P. M. (2006). EQS 6 structural equations program manual. Multivariate Software, Inc.

Bereczki, E. O., & Kárpáti, A. (2018). Teachers’ beliefs about creativity and its nurture: A Systematic review of the recent research literature. Educational Research Review, 23, 25–56. https://doi.org/10.1016/j.edurev.2017.10.003

Bland, J. M., & Altman, D. G. (1997). Cronbach’s Alpha. BMJ, 314, 572. https://doi.org/10.1136/bmj.314.7080.572

Broekhoven, van K., Cropley, D., & Seegers, Ph. (2020). Differences in creativity across art and STEM students: We are more alike than unalike. Thinking Skills and Creativity, 38. https://doi.org/10.1016/j.tsc.2020.100707

Brown, T. A. (2006). Confirmatory factor analysis for applied research. The Guilford Press.

Butt, G., & Lance, A. (2005). Secondary teacher workload and job satisfaction: Do successful strategies for change exist? Educational Management Administration and Leadership, 33(4), 401–422. https://doi.org/10.1177/1741143205056304

Byrne, B. M. (2008). Testing for multigroup equivalence of a measuring instrument: A walk through the process. Psicothema, 20(4), 872–882.

Byrne, B. M., & Stewart, S. M. (2006). The MACS approach to testing for multigroup invariance of a second-order structure: A walk through the process. Structural Equation Modeling: A Multidisciplinary Journal, 13(2), 287–321. https://doi.org/10.1207/s15328007sem1302_7

Byrne, B. M., & Vijver, van de F. J. R. (2010). Testing for measurement and structural equivalence in large-scale cross-cultural studies: Addressing the issue of nonequivalence. International Journal of Testing, 10(2), 107–132. https://doi.org/10.1080/15305051003637306

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, Ch.-F., & Tsai, D. (2007). How destination image and evaluative factors affect behavioral intentions? Tourism Management, 28(4), 1115–1122. https://doi.org/10.1016/j.tourman.2006.07.007

Cheng, V. M. Y. (2019). Developing individual creativity for environmental sustainability: Using an everyday theme in higher education. Thinking Skills and Creativity, 33. https://doi.org/10.1016/j.tsc.2019.05.001

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. https://doi.org/10.1207/S15328007SEM0902_5

Cohen, J. (1988). Statistical power analysis for the behavioral sciences. Lawrence Erlbaum Associates.

Craft, A. (1999). Creative development in the early years: Some implications of policy for practice. The Curriculum Journal, 10(1), 135–150. https://doi.org/10.1080/0958517990100110

Cropley, A. J. (1997). Fostering creativity in the classroom: General principles. In M. A. Runco (Ed.), The creativity research handbook (Vol. 1, pp. 83–114). Hampton Press.

Cropley, A. (2006). In Praise of convergent thinking. Creativity Research Journal, 18(3), 391–404. https://doi.org/10.1207/s15326934crj1803_13

Dailey, L., & Mumford, M. D. (2006). Evaluative aspects of creative thought: Errors in appraising the implications of new ideas. Creativity Research Journal, 18(3), 385–390. https://doi.org/10.1207/s15326934crj1803_11

DeVellis, R. F. (2011). Applied social research methods series: Vol. 26. Scale development: Theory and applications. L. Bickman, & D. J. Rog, (Eds.). SAGE Publications, Inc.

Dikici, A., & Soh, K. (2015). Indexing creativity fostering teacher behaviour: Replication and modification. Higher Education of Social Science, 9(3), 1–10.

Eisenman, R. (1987). Creativity, birth order, and risk taking. Bulletin of the Psychonomic Society, 25(2), 87–88. https://doi.org/10.3758/BF03330292

Ellis, H. (2022). Man and woman: A study of human secondary sexual characters. Dusty Vault.

Esquivel, G. B. (1995). Teacher behaviors that foster creativity. Educational Psychology Review, 7, 185–202. https://doi.org/10.1007/BF02212493

Fernández-Gómez, E., Martín-Salvador, A., Luque-Vara, T., Angustias Sánchez-Ojeda, M., Navarro-Prado, S., & Enrique-Mirón, C. (2020). Content validation through expert judgement of an instrument on the nutritional knowledge, beliefs, and habits of pregnant women. Nutrients, 12(4), 1136. https://doi.org/10.3390/nu12041136

Frederiksen, N. (1983). Implications of cognitive theory for instruction in problem solving. ETS Research Report Series, 1983(1), 363–407. https://doi.org/10.1002/j.2330-8516.1983.tb00019.x

French, B. F., & Finch, W. H. (2006). Confirmatory factor analytic procedures for the determination of measurement invariance. Structural Equation Modeling: A Multidisciplinary Journal, 13(3), 378–402. https://doi.org/10.1207/s15328007sem1303_3

Grigorenko, E. L. (2019). Creativity: A challenge for contemporary education. Comparative Education, 55(1), 116–132. https://doi.org/10.1080/03050068.2018.1541665

Hall, J. (2008). Cross-sectional survey design. In P. J. Lavrakas (Ed.), Encyclopedia of survey research methods (Vol. 2, pp. 173–174). SAGE Publications, Inc.

Hallman, R. J. (1967). Techniques of creative teaching. Journal of Creative Behavior, 1(3), 325–330. https://doi.org/10.1002/j.2162-6057.1967.tb00033.x

Hardy, J. H. III, Ness, A. M., & Mecca, J. (2017). Outside the box: Epistemic curiosity as a predictor of creative problem solving and creative performance. Personality and Individual Differences, 104, 230–237. https://doi.org/10.1016/j.paid.2016.08.004

Hartley, K. A., & Plucker, J. A. (2014). Teacher use of creativity-enhancing activities in Chinese and American elementary classrooms. Creativity Research Journal, 26(4), 389–399. https://doi.org/10.1080/10400419.2014.961771

He, W., & Wong, W. (2021). Gender differences in the distribution of creativity scores: Domain-specific patterns in divergent thinking and creative problem solving. Frontiers in Psychology, 12. https://doi.org/10.3389/fpsyg.2021.626911

Hedges, L. V., & Nowell, A. (1995). Sex differences in mental test scores, variability, and numbers of high-scoring individuals. Science, 269(5220), 41–45. https://doi.org/10.1126/science.7604277

Henriksen, D., Mishra, P., & Fisser, P. (2016). Infusing creativity and technology in 21st century education: A systemic view for change. Educational Technology and Society, 19(3), 27–37.

Hernández-Torrano, D., & Ibrayeva, L. (2020). Creativity and education: A bibliometric mapping of the research literature (1975–2019). Thinking Skills and Creativity, 35. https://doi.org/10.1016/j.tsc.2019.100625

Hong, S., Malik, M. L., & Lee, M.-K. (2003). Testing configural, metric, scalar, and latent mean invariance across genders in sociotropy and autonomy using a non-Western Sample. Educational and Psychological Measurement, 63(4), 636–654. https://doi.org/10.1177/0013164403251332

Horn, J. L., & McArdle, J. J. (1992). A practical and theoretical guide to measurement invariance in aging research. Experimental Aging Research: An International Journal Devoted to the Scientific Study of the Aging Process, 18(3), 117–144. https://doi.org/10.1080/03610739208253916

Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118

Hui, A. N. N., & Lau, S. (2010). Formulation of policy and strategy in developing creativity education in four Asian Chinese societies: A policy analysis. Journal of Creative Behavior, 44(4), 215–235. https://doi.org/10.1002/j.2162-6057.2010.tb01334.x

Hulland, J. (1999). Use of Partial Least Squares (PLS) in strategic management research: A review of four recent studies. Strategic Management Journal, 20(2), 195–204. https://doi.org/10.1002/(SICI)1097-0266(199902)20:2<195::AID-SMJ13>3.0.CO;2-7

Jang, J., Bell Trickett, S., Schunn, Ch. D., & Trafton, J. G. (2012). Unpacking the temporal advantage of distributing complex visual displays. International Journal of Human-Computer Studies, 70(11), 812– 827. https://doi.org/10.1016/j.ijhcs.2012.07.003

Johnson, W., Carothers, A., & Deary, I. J. (2008). Sex differences in variability in general intelligence: A new look at the old question. Perspectives on Psychological Science, 3(6), 518–531. https://doi.org/10.1111/j.1745-6924.2008.00096.x

Kaufman, J. C., & Sternberg, R. J. (Eds.). (2010). The international handbook of creativity. Cambridge University Press. https://doi.org/10.1017/CBO9780511763205

Kember, D., & Leung, D. Y. P. (2011). Disciplinary differences in student ratings of teaching quality. Research in Higher Education, 52, 278–299. https://doi.org/10.1007/s11162-010-9194-z

Kline, R. B. (2016). Methodology in the social sciences. Principles and practice of structural equation modeling. T. D. Little (Series Ed.). The Guilford Press.

Lin, T.-J., Liang, J.-Ch., & Tsai, Ch.-Ch. (2015). Identifying Taiwanese university students’ physics learning profiles and their role in physics learning self-efficacy. Research in Science Education, 45, 605–624. https://doi.org/10.1007/s11165-014-9440-z

Luschei, Th. F. (2012). The effectiveness and distribution of male primary teachers: Evidence from two Mexican States. International Journal of Educational Development, 32(1), 145–154. https://doi.org/10.1016/j.ijedudev.2010.12.001

Maddux, W. W., Adam, H., & Galinsky, A. D. (2010). When in Rome... Learn why the Romans do what they do: How multicultural learning experiences facilitate creativity. Personality and Social Psychology Bulletin, 36(6), 731–741. https://doi.org/10.1177/0146167210367786

Makel, M. C. (2009). Help us creativity researchers, you’re our only hope. Psychology of Aesthetics, Creativity, and the Arts, 3(1), 38–42. https://doi.org/10.1037/a0014919

Manalo, E., & Kapur, M. (2018). The role of failure in promoting thinking skills and creativity: New findings and insights about how failure can be beneficial for learning. Thinking Skills and Creativity, 30, 1–6. https://doi.org/10.1016/j.tsc.2018.06.001

Marchbanks, P. (2000). Personality traits: Elementary school teachers-prospective elementary school teachers: Are they out there? The University of North Carolina of Chapel Hill.

May, R. (1994). The courage to create. W. W. Norton & Company.

McWilliam, E., & Haukka, S. (2008). Educating the creative workforce: New directions for Twenty‐First century schooling. British Educational Research Journal, 34(5), 651–666. https://doi.org/10.1080/01411920802224204

Meade, A. W., Johnson, E. C., & Braddy, P. W. (2008). Power and sensitivity of alternative fit indices in tests of measurement invariance. Journal of Applied Psychology, 93(3), 568–592. https://doi.org/10.1037/0021-9010.93.3.568

Meredith, W. (1993). Measurement invariance, factor analysis and factorial invariance. Psychometrika, 58, 525–543. https://doi.org/10.1007/BF02294825

Miroshnik, K. G., Sharma, S., & Sharma, E. (2019, 11–12 April). Psychometric properties of the Russian version of Creativity Nurturing Behavior Scale for Teachers (CNBST). In Conference of Psychology of 21st century. Saint Petersburg, Russia. https://www.researchgate.net/publication/333089762_Psychometric_properties_of_the_Russian_version_of_Creativity_Nurturing_Behavior_Scale_for_Teachers_CNBST/link/5d07ad79299bf1f539cb0915/download

Mullet, D. R., Willerson, A., Lamb, K. N., & Kettler, T. (2016). Examining teacher perceptions of creativity: A systematic review of the literature. Thinking Skills and Creativity, 21, 9–30. https://doi.org/10.1016/j.tsc.2016.05.001

Mumford, M. D., Medeiros, K. E., & Partlow, P. J. (2012). Creative thinking: Processes, strategies, and knowledge. Journal of Creative Behavior, 46(1), 30–47. https://doi.org/10.1002/jocb.003

Mumford, M. D., Mobley, M. I., Reiter‐Palmon, R., Uhlman, Ch. E., & Doares, L. M. (1991). Process analytic models of creative capacities. Creativity Research Journal, 4(2), 91–122. https://doi.org/10.1080/10400419109534380

Niu, W. (2019). Eastern–Western views of creativity. In J. C. Kaufman & R. J. Sternberg (Eds.), The Cambridge handbook of creativity (pp. 448–461). Cambridge University Press. https://doi.org/10.1017/9781316979839.023

Niu, W., Zhou, Zh., & Zhou, X. (2017). Understanding the Chinese approach to creative teaching in mathematics classrooms. ZDM – Mathematics Education, 49(7), 1023–1031. https://doi.org/10.1007/s11858-017-0887-z

Nunnally, J. C., & Bernstein, I. H. (1994). McGraw Hill series in psychology. Psychometric theory. McGraw-Hill.

Osborn, A. (2007). Your creative power. Myers Press.

Pang, W. (2015). Promoting creativity in the classroom: A generative view. Psychology of Aesthetics, Creativity, and the Arts, 9(2), 122–127. https://doi.org/10.1037/aca0000009

Philipp, A., & Kunter, M. (2013). How do teachers spend their time? A study on teachers’ strategies of selection, optimisation, and compensation over their career cycle. Teaching and Teacher Education, 35, 1–12. https://doi.org/10.1016/j.tate.2013.04.014

Putnick, D. L., & Bornstein, M. H. (2015). Is child labor a barrier to school enrollment in low- and middle-income countries? International Journal of Educational Development, 41, 112–120. https://doi.org/10.1016/j.ijedudev.2015.02.001

Putnick, D. L., & Bornstein, M. H. 2016. Measurement invariance conventions and reporting: The state of the art and future directions for psychological research. Developmental Review, 41, 71–90. https://doi.org/10.1016/j.dr.2016.06.004

Rosenman, R., Tennekoon, V., & Hill, L. G. (2011). Measuring bias in self-reported data. International Journal of Behavioural and Healthcare Research, 2(4), 320–332. https://doi.org/10.1504/IJBHR.2011.043414

Runco, M. A., & Chand, I. (1995). Cognition and creativity. Educational Psychology Review, 7, 243–267. https://doi.org/10.1007/BF02213373

Rusticus, Sh. A., Hubley, A. M., & Zumbo, B. D. (2008). Measurement invariance of the appearance schemas inventory-revised and the body image quality of life inventory across age and gender. Assessment, 15(1), 60–71. https://doi.org/10.1177/1073191107306805

Schumacker, R. E., & Lomax, R. G. (2010). A beginner’s guide to structural equation modeling. Routledge.

Schutte, N. S., & Malouff, J. M. (2020). A meta‐analysis of the relationship between curiosity and creativity. Journal of Creative Behavior, 54(4), 940–947. https://doi.org/10.1002/jocb.421

Sharma, E., & Sharma, S. (2018). Creativity nurturing behaviour scale for teachers. International Journal of Educational Management, 32(6), 1016–1028. https://doi.org/10.1108/IJEM-10-2017-0294

Sharma, E., Sharma, S. S., & Ferdinand-James, D. Sh. (2019, 11–14 July). Measuring teachers’ creativity nurturing behaviour: Preparing students for life and work in the 21st century. In 2nd Annual Creativity Conference at Southern Oregon University. Ashland, Oregon, United States. https://www.researchgate.net/publication/333478878_Measuring_Teacher’s_Creativity_Nurturing_Behaviour_Preparing_Students_for_life_and_work_in_the_21st_Century/link/62db8f04f3acdd5dc210b812/download

Sofat. (1977). Construction and standardization of self evaluation scale of teaching effectiveness of secondary school teachers. Fourth Survey of Educational Research, 2, 1041.

Soh, K. (2015). Creativity fostering teacher behaviour around the world: Annotations of studies using the CFTIndex. Cogent Education, 2(1). https://doi.org/10.1080/2331186X.2015.1034494

Soh, K. (2017). Fostering student creativity through teacher behaviors. Thinking Skills and Creativity, 23, 58–66. https://doi.org/10.1016/j.tsc.2016.11.002

Soh, K.-Ch. (2000). Indexing creativity fostering teacher behavior: A preliminary validation study. Journal of Creative Behavior, 34(2), 118–134. https://doi.org/10.1002/j.2162-6057.2000.tb01205.x

Souza Fleith, de D. (2000). Teacher and student perceptions of creativity in the classroom environment. Roeper Review, 22(3), 148–153. https://doi.org/10.1080/02783190009554022

Srinivasan, R., Lilien, G. L., & Rangaswamy, A. (2002). Technological opportunism and radical technology adoption: An application to e-business. Journal of Marketing, 66(3), 47–60. https://doi.org/10.1509/jmkg.66.3.47.18508

Starko, A. J. (2014). Creativity in the classroom: Schools of curious delight. Routledge. https://doi.org/10.4324/9780203115176

Sternberg, R. (2007). Creativity as a habit. In A.-G. Tan (Ed.), Creativity: A handbook for teachers (pp. 3–25). World Scientific Publishing Company Pte. Ltd. https://doi.org/10.1142/9789812770868_0001

Sternberg, R. J. (2015). Teaching for creativity: The sounds of silence. Psychology of Aesthetics, Creativity, and the Arts, 9(2), 115–117. https://doi.org/10.1037/aca0000007

Torrance, E. P. (1965). Rewarding creative behavior: Experiments in classroom creativity. Prentice-Hall.

Torrance, E. P. (1995). Creativity research. Why fly? A philosophy of creativity. M. A. Runco (Series Ed.). Ablex Publishing Corporation.

Trilling, B., & Fadel, Ch. (2009). 21st century skills: Learning for life in our times. Jossey-Bass.

Truong, Y., & McColl, R. (2011). Intrinsic motivations, self-esteem, and luxury goods consumption. Journal of Retailing and Consumer Services, 18(6), 555–561. https://doi.org/10.1016/j.jretconser.2011.08.004

Vandenberg, R. J., & Lance, Ch. E. (2000). A review and synthesis of the measurement invariance literature: Suggestions, practices, and recommendations for organizational research. Organizational Research Methods, 3(1), 4–70. https://doi.org/10.1177/109442810031002

Wagner, S. M. (2012). Tapping supplier innovation. Journal of Supply Chain Management, 48(2), 37–52. https://doi.org/10.1111/j.1745-493X.2011.03258.x

Wallas, G. (2014). The art of thought. Solis Press.

Zhang, L., & Sternberg, R. J. (2011). Revisiting the investment theory of creativity. Creativity Research Journal, 23(3), 229–238. https://doi.org/10.1080/10400419.2011.595974