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International Journal of Academic Research in Progressive Education and Development

Open Access Journal

ISSN: 2226-6348

Development of A Curriculum Type Preference Scale for Preschool Education Vocational University

Xinyan Zhu, Masayu Dzainudin, Ying Qin Tee

http://dx.doi.org/10.6007/IJARPED/v13-i1/20749

Open access

Exploring students’ preferences for curriculum types is beneficial for further designing curriculum structures based on the differentiated needs of students, thereby improving curriculum and education quality. To make up for the lack of an effective measurement instrument for investigating the curriculum type preferences of Chinese vocational university students majoring in preschool education, a 5-point Likert scale is designed and developed in this study. The development procedure consists of three phases: (1) the scale generation phase; (2) the scale evaluation phase, including expert evaluation and target population pretesting; and (3) the scale testing phase, including first testing, second testing, and third testing. The results show that the initial scale consisted of three constructs (theory curriculum, application curriculum, and internship curriculum) and 21 items in total. By removing one item from the initial scale, 20 items in the final scale have been proven to have acceptable validity and reliability. The conclusions suggest that the curriculum type preference scale can be applied in practice, and the scale development procedure and methods in this study can serve as a theoretical reference for scale developers.

Bartlett, M. S. (1950). Tests of significance in factor analysis. British Journal of Psychology, 3(2), 77-85.
Boateng, G. O., Neilands, T. B., Frongillo, E. A., Melgar-Quiñonez, H. R. & Young, S. L. (2018). Best practices for developing and validating scales for health, social, and behavioral research: a primer. Frontiers in Public Health, (6), Article149. https://doi: 10.3389/fpubh.2018.00149
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Resreach in Psychology, 3(2), 77–101.
Brown, T. A. (2015). Confirmatory factor analysis for applied research, second edition. Guilford Press.
Bruton, A., Conway, J. H., & Holgate, S. T. (2000). Reliability: what is it, and how is it measured? Physiotherapy, 86(2), 94-99. https://doi.org/10.1016/S0031-9406(05)61211-4
Bu, S. M. (2005). On objective orientation and curriculum design for undergraduate preschool education program. Teacher Education Research, 17(03), 20-24.
https://doi:10.13445/j.cnki.t.e.r.2005.03.003
Carpenter, S. (2018). Ten steps in scale development and reporting: a guide for researchers. Communication Methods and Measures, 12(1), 25-44,
https://doi:10.1080/19312458.2017.1396583
Cole, D. A. (1987). Utility of confirmatory factor analysis in test validation research. Journal of Consulting and Clinical Psychology, 55(4), 584–594. https://doi.org/10.1037/0022-006X.55.4.584
Collins, D. (2003). Pretesting survey instruments: An overview of cognitive methods. Quality of Life Research, 12, 229-238.
Comrey, A. L., & Lee, H. B. (1992). A first course in factor analysis (2nd edition). Lawrence Erlbaum Associates.
Creswell, J. W., & Creswell, J. D. (2018). Research design: qualitative, quantitative, and mixed methods approaches. SAGE Publications.
DeVellis, R. F., & Thorpe, C. T. (2021). Scale development: theory and applications (fifth edition). SAGE Publications.
Drennan, J. (2003). Cognitive interviewing: verbal data in the design and pretesting of questionnaires. Journal of Advanced Nursing, 42(1), 57–63.
Fabrigar, L. R., & Wegener, D. T. (2011). Exploratory Factor Analysis. Oxford University Press.
Feng, J. J. (2007). Foundation of modern pedagogy (3nd ed.). Nanjing Normal University Press.
George, D., & Mallery, P. (2003). SPSS for windows step by step: A simple guide and reference. 11.0 Update (4th edn.). Allyn & Bacon.
Guttman, L. (1945). A basis for analyzing test-retest reliability. Psychometrika, 10(4), 255–282.
Gu, M. Y., & Shi, Z. Y. (2010). Interpretation of the national medium and long term education reform and development planning outline (2010-2020). Beijing Normal University Press.
Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2009). Multivariate data analysis. (7th, Ed.). Prentice Hall.
Hinkin, T. R. (2005). Scale development principles and practices. In R. A. Swanson & E. F. Holton (Eds.), Research in organizations: Foundations and methods in inquiry (pp. 161-180). Berrett-Koehler Publishers.
Hong, X. M. (2019). China education reform and openning-up 40 years. Beijing Normal University Press.
Howard, M. C. (2016). A review of exploratory factor analysis decisions and overview of current practices: what we are doing and how can we improve? International Journal of Human-Computer Interaction, 32(1), 51-62. DOI: 10.1080/10447318.2015.1087664
Howard, M. C. (2018). Scale pretesting. Practical Assessment, Research, and Evaluation, 23(5),1-14. https://doi.org/10.7275/hwpz-jx61
Hu, L. T., & 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
Jackson, D. L., Gillaspy, J. A., Jr., & Purc-Stephenson, R. (2009). Reporting practices in confirmatory factor analysis: An overview and some recommendations. Psychological Methods, 14(1), 6–23. https://doi.org/10.1037/a0014694
Johanson, G. A., & Brooks, G. P. (2010). Initial scale development: sample size for pilot studies. Educational and psychological, 70(3), 394-400.
https://doi.org/10.1177/0013164409355692
Kaiser, H. (1960). The application of electronic computers to factor analysis. Educational and Psychological Measurement, 20(1),141-151.
https://doi.org/10.1177/001316446002000116
Kaiser, H. F. (1974). An index of factorial simplicity. Psychometrika, 39, 31-36. https://doi:10.1007/BF02291575
Kelley, T. L. (1927). Interpretation of educational measurements. Macmillan.
Kennedy, I. (2022). Sample size determination in test-retest and cronbach alpha reliability estimates. British Journal of Contemporary Education 2(1), 17-29. DOI: 10.52589/BJCE- FY266HK9
Koo, T. K., & Li, M. Y. (2016). A guideline of selecting and reporting intraclass correlation coefficients for reliability research. Journal of Chiropractic Medicine, 15(2), 155–163. https://doi.org/10.1016/j.jcm.2016.02.012
Kurpius, S. E. R., & Stafford, M. E. (2006). Testing and measurement: A user-friendly guide. Sage Publications.
Kyriazos, T. A., & Stalikas, A. (2018). Applied psychometrics: The steps of scale development and standardization process. Psychology, 9, 2531-2560.
https://doi.org/10.4236/psych.2018.911145
Lenzner, T., Neuert, C., & Otto, W. (2016). Cognitive Pretesting (Version 2.0). (GESIS Survey Guidelines).GESIS – Leibniz Institute for the Social Sciences.
https://doi.org/10.15465/gesis-sg_en_010
Morgado, F. F. R., Meireles, J. F. F., Neves, C. M., Amaral, A. C. S., & Ferreira, M. E. C. (2017). Scale development: ten main limitations and recommendations to improve future research practices. Psicologia: Reflexa?o e Cri?tica, 30(5), 1–20.
https://doi.org/10.1186/s41155-016-0057-1
Pett, M. A., Lackey, N. R., & Sullivanet, J. J. (2003). Making sense of factor analysis: The use of factor analysis for instrument development in health care research. Sage Publications Inc.
Polit, D. F., & Beck, C. T. (2006). The content validity index: Are you sure you know what’s being reported? Critique and recommendations. Research in Nursing & Health, 29(5), 489–497. https://doi.org/10.1002/nur.20147
Polit, D. F., Beck, C. T., & Owen, S. V. (2007). Is the CVI an acceptable indicator of content validity? Appraisal and recommendations. Research in Nursing & Health, 30(4), 459-467. https://doi:10.1002/nur.20199
Portney, L. G., & Watkins, M. P. (2000). Foundations of clinical research: Applications to practice. 2nd edition. Prentice Hall Health, Upper Saddle River.
Schreiber, J. B., Nora, A., Stage, F. K., Barlow, E. A., & King, J. (2006). Reporting structural equation modeling and confirmatory factor analysis results: A review. The Journal of Educational Research, 99(6), 323-338. http://dx.doi.org/10.3200/JOER.99.6.323-338
Tabachnick, B. G., & Fidell, L. S. (2007). Using multivariate statistics. Fifth Edition. Pearson Education Inc.
Taherdoost, H., Sahibuddin, S., & Jalaliyoon, N. (2022). Exploratory factor analysis; concepts and theory. Advances in Applied and Pure Mathematics, 27, 375-382.
Tao, C. P., & Luo, Y. (2020). Some thoughts on the curriculum design of preschool education specialty in higher vocational education ——based on the investigation and research on the satisfaction level of preschool education curriculum. Education Teaching Forum, (19), 382-384.
Tavakol, M., & Dennick, R. (2011). Making sense of Cronbach’s Alpha. International journal of Medical Education, 2, 53-55. https://doi: 10.5116/ijme.4dfb.8dfd
Weir, J. P. (2005). Quantifying test-retest reliability using the intraclass correlation coefficient and the SEM. The Journal of Strength & Conditioning Research, 19(1), 231–240.
Wen, P., Huang, R. J., & She, Y. B. (2018). An investigation and analysis on the
curriculum of preschool education in higher vocational education—from the perspective of selective education. Journal of Educational Development, (12), 80-84.
https://doi:10.16215/j.cnki.cn44-1371/g4.2018.12.016
Xu, L. J. (2020). Current situation of majoring in pre-school education in vacational college from the student perspective. Journal of Bengbu University, 9(3), 73-78.
https://doi:10.13900/j.cnki.jbc.2020.03.017
Yang, L. J., & Cao, Li. (2009). The reconstruction of personnel cultivation mode of undergraduate preschool education program in higher normal colleges and universities. Journal of Educational Science of Hunan Normal University, 8(04), 82-85.
Yang, L. J., & Kang, D. (2006). Thoughts on several problems in the training of undergraduate students majoring in preschool education in normal universities. Teacher Education Research, (05), 70-74.
Yu, C. Y. (2002). Evaluating cutoff criteria of model fit indices for latent variable models with binary and continuous outcomes (Unpublished doctoral dissertation). University of California Los Angeles, Los Angeles, CA.
Yuan, Z. G. (2010). Contemporary pedagogy. Educational Science Press.
Yusoff, M. S. B. (2019). ABC of content validation and content validity index calculation. Education in Medicine Journal, 11(2), 49–54. https://doi.org/10.21315/eimj2019.11.2.6
Zheng, M. (2018). An investigation report on the current situation of curriculum provision of preschool education major in Higher Vocational Colleges—a case study of a higher vocational college in Hebei Province. Journal of Hebei Youth Administrative Cadres College,30(03),55-59. https://doi:10.16278/j.cnki.cn131260/d.2018.03.011
Zhu, D. Q., & Yi, L. Y. (2017). Introduction to pedagogy. (3nd ed.). Southwest Normal University Press.

(Zhu et al., 2024)
Zhu, X., Dzainudin, M., & Tee, Y. Q. (2024). Development of A Curriculum Type Preference Scale for Preschool Education Vocational University. International Journal of Academic Research in Progressive Education and Development, 13(1), 1739–1756.