Measuring Students' Curiosity Character Using Confirmatory Factor Analysis
This study aims to test proving the scale of measuring the character of students' curiosity using confirmatory factor analysis. This study uses a .
- Pub. date: April 15, 2021
- Pages: 773-783
- 2086 Downloads
- 2261 Views
- 12 Citations
This study aims to test proving the scale of measuring the character of students' curiosity using confirmatory factor analysis. This study uses a quantitative approach. The sample used was 325 randomly selected participants. The variable examined in this study is the character of curiosity. The curiosity variable is focused on elementary school students. In this study, this variable was measured by four indicators and 16 measuring items. The four indicators include: paying attention, taking notes, asking questions, and comparing. Data collection was carried out by distributing curiosity questionnaires to participants. The data analysis technique used was confirmatory factor analysis. The reliability analysis used was the composite score reliability analysis. The results of the study concluded that the constituent indicators of the latent variables of students' curiosity show that all loading factor values have a significant effect on the latent variables in the first order confirmatory factor analysis (CFA). Meanwhile, in the second order CFA, the variable of curiosity, the biggest contribution was the indicators compare. This student curiosity assessment model has fulfilled the goodness of fit aspect of the model and has been reliable based on construct reliability. This study recommends a scale measuring elementary school students' curiosity.
Keywords: Students, curiosity, confirmatory factor analysis.
References
Abakpa, B. O., Abah, J. A., & Agbo-Egwu, A. O. (2018). Science curiosity as a correlate of academic performance in mathematics education: Insights from Nigerian Higher Education. African Journal of Teacher Education, 7(1), 36-52.
Amalia, E. (2019). Good governance for zakat institutions in Indonesia: A Confirmatory factor analysis. Pertanika Journal Social Sciences & Humanities, 27(3), 1815-1827.
Arfani, J. W., & Nakaya, A. (2020). Citizenship education in Indonesia and Japan: A dynamic endeavour to form national character. Citizenship Teaching & Learning, 15(1), 45–62.
Arifin, B. I., Imron, A., & Sonhadji, A. (2017). Cultivating character education through transforming school cultural values. Studia Humanitatis, 37(4), 1–18.
Atmajawati, Y., & Hening, W. U. (2018). Learning method, school environment, leadership and its effect on quality education and the excellence student character at muhammadiyah high school. Journal of Education and Practice, 9(26), 118–123.
Brown, T. A., & Moore, M. T. (2012). Confirmatory factor analysis. Handbook of Structural equation modelling. The Guilford Press.
Comrey, A. L., & Lee, H. B. (2013). A first course in factor analysis. Psychology Press.
Friedman, T. L. (2006). The world is flat: A brief history of the twenty-first century. Farrar Straus & Giroux.
Furr, R. M., & Bacharach, V. R. (2013). Psychometrics: An introduction (2nd ed.). SAGE Publications.
Gurning, B., & Siregar, A. (2017). The effect of teaching strategies and curiosity on students’ achievement in reading comprehension. English Language Teaching, 10(11), 191-198.
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2014) Multivariate data analysis seventh edition. Pearson Education.
Harrington, D. (2009). Confirmatory factor analysis. Oxford.
Herwin, & D. Mardapi. (2017). An emotion assessment model for Elementary School students. Jurnal Penelitian dan Evaluasi Pendidikan, 21(1), 80-92.
Hidayati, N. A., Waluyo, H. J., & Winarni, R. (2020). Exploring the implementation of local wisdom-based character education among Indonesian higher education students. International Journal of Instruction, 13(2), 179–198.
Hinton, P. R., Brownlow, C., Mcmurray, I., & Cozens, B. (2004). SPSS explained. Routledge.
Hopkins, D., & Craig, W. (2015). Curiosity and powerful learning. McRel International.
Hoyle, R. H. (2004). Confirmatory factor analysis. In M. Lewis-Beck., & T. Liao (Eds.), Ecyclopedia of social science research methods, 1, 169-174.
Huck, S. W. (2007). Reading statistics and research. Allyn & Bacon.
Karademir, C. A. (2019). Pre-service teachers’ problem solving skills and curiosity levels. International Journal of Educational Methodology, 5(1), 151-164. https://doi.org/10.12973/ijem.5.1.163
Kashdan, T. B., Rose, P., & Fincham, F. D. (2004). Curiosity and exploration: Facilitating positive subjective experiences and personal growth opportunities. Journal of Personality Assessment, 82(3), 291-305.
Kennedy, J., Fairbrother, G. P., & Zhenzhou, Z. (2013). Citizenship education in China: Preparing citizens for ‘Chinese Century’. Routledge.
Kline, P. (2014). An easy guide to factor analysis. Routledge.
Litman, J. A. (2005). Curiosuty and the pleasures of learning: Waiting and lingking new information. Psychology Press, 19(6), 193-814.
Loewenstein, G. (1994). The psychology of curiosity: A review and reinterpretation. Psychological Bulletin, 116(1), 75-98.
MacCallum, R. C., Widaman, K. F., Zhang, S., & Hong, S. (1999) Sample size in factor analysis. Psychological Methods, 4(1), 84-99.
Malkab, M., Nawawi, J., Mahmud, A., & Sujiono, E. H. (2015). The implementer disposition of teacher certification policy in Indonesia. International Education Studies, 8(5), 54-61.
Margono, G. (2013). Aplikasi analisis faktor konfirmatori untuk menentukan reliabilitas multidimensi [Application of confirmatory factor analysis to determine multidimensional reliability]. Statistika, 13(1), 17-24.
Mulaik, S. (2010, October). Another look at a cancer research model. Theory and indeterminacy in the BMC model by Hayduk et al [Paper presentation]. Annual meeting of the Society for Multivariate Experimental Psychology. Atlanta, GA, United States.
Nájera Catalán, H. E., & Gordon, D. (2020) The importance of reliability and construct validity in multidimensional poverty measurement: An illustration using the multidimensional poverty index for latin america (MPI-LA). The Journal of Development Studies, 56(9), 1763-1783.
Nasir., Sappaile, B. I., & Arafah, K. (2015). Pendeteksian pelaksanaan supervisi akademik pengawas sekolah pada SMA Negeri di Kota Baubau melalui analisis faktor konfirmatori (CFA) [Detection of the implementation of the academic supervision of school supervisors at SMA Negeri in Baubau City through confirmatory factor analysis (CFA)]. In K. Arafah & Patahuddin (Eds.), Proceedings of the Annual Scientific Conference of Himpunan Evaluasi Pendidikan Indonesia (pp. 126-138). Universitas Negeri Makassar.
O’Rourke, N., & Hatcher, L. (2013) A step-by-step ppproach to using SAS® for factor analysis and structural equation modeling. SAS Institute Inc.
Otaya, L. G., Kartowagiran, B., & Retnawati, H. (2020). The construct validity and reliability of the lesson plan assessment instrument in primary schools. Prima Edukasia Journal/ Jurnal Prima Edukasia, 8(2), 126-134.
Pluck, G. & Johnson, H. L. (2011). Stimulating curiosity to enhance learning. GESJ: Education Science and Psychology, 2(19), 24-31.
Prudon, P. (2015). Confirmatory factor analysis as a tool in research using questionnaires: A critique. Comprehensive Psychology, 4(10), 1-19.
Raharja, S., Wibhawa, M. R., & Lukas, S. (2018). Mengukur rasa ingin tahu siswa [Measuring students' curiosity]. Polyglot: Jurnal Ilmiah, 14(2), 151-164.
Rowson, J. (2012). The power of curiosity: How linking inquisitiveness to innovation could help to address our energy challenges. RSA Social Brain Centre, 1(1), 1-36.
Salirawati, D. (2012). Percaya diri, keingintahuan, dan berjiwa wirausaha: Tiga karakter penting bagi peserta didik [Confidence, curiosity, and entrepreneurial spirit: Three important characteristics for students]. Journal of Character Education/ Jurnal Pendidikan Karakter, 2(2), 213–224.
Sappaile, B. I. (2006) Dimensi dan reliabilitas suatu instrumen dengan menggunakan rotasi varimax pada analisis faktor eksploratori [The dimensions and reliability of an instrument using varimax rotation in exploratory factor analysis]. Journal of Education and Culture/ Jurnal Pendidikan dan Kebudayaan, 60, 351-362.
Satianingsih, R., Budiyono, S. C., & Subandowo, M. (2020). Character education in multicultural society: Case in Indonesia. International Journal of Multiculturaland Multireligious Understanding, 7(4), 337–344.
Silmi, M., & Kusmarni, Y. (2017). Menumbuhkan karakter rasa ingin tahu siswa dalam pembelajaran sejarah melalui media puzzle [Cultivate the character of students' curiosity in history learning through puzzle media]. FACTUM: Journal of History and Historical Education/ FACTUM: Jurnal Sejarah dan Pendidikan Sejarah, 6(2), 230–242.
Suyatno, J., Pambudi, D. I., Mardati, A., & Wantini. (2019). Strategy of values education in the Indonesian education system. International Journal of Instruction, 12(1), 607–624.
Tjabolo, S. A., & Herwin. (2020). The influence of teacher certification on the performance of elementary school teachers in Gorontalo Province, Indonesia. International Journal of Instruction, 13(4), 347-360.
Tungkunanan, P. (2020). Learning model of undergraduate students: Confirmatory factor analysis. International Journal of Instruction, 13(3), 665-678. https://doi.org/10.29333/iji.2020.13345a
Widhiarso, W. (2009). Estimasi reliabilitas pengukuran dalam pendekatan model persamaan structural [Estimation of measurement reliability in the structural equation modeling approach]. Psychology Bulletin/ Buletin Psikologi, 17(1), 33-38.
Williams, B., Onsman, A., & Brown, T. (2010). Exploratory factor analysis: A five-step guide for novices. Australasian Journal of Paramedicine, 8(3), 1-13. https://doi.org/10.33151/ajp.8.3.93
Wu, Q., Shen, Z., & Miao, C. (2013, June). Stimulating students’ curiosity with a companion agent in virtual learning environments. In J. Herrington, A. Couros & V. Irvine (Eds.), EdMedia+ Innovate Learning (pp. 2401-2409). Association for the Advancement of Computing in Education.
Yadama, G. N., & Pandey, S. (1995). Effect of sample size on goodness-of-fit indices in structural equation models. Journal of Social Service Research, 20(3-4), 49-70.
Ziegler, J., & Detje, F. (2013, July). Application of empirical methodology to evaluate information fusion approaches. In M. Efe & R. L. Streit (Eds.), Proceedings of the 16th International Conference on Information Fusion (pp. 1878-1885). IEEE.