Journals / Eğitimde ve Psikolojide Ölçme ve Değerlendirme Dergisi / 2020 / Cilt: 11 - Sayı: 2

Adaptation of the Self-efficacy Beliefs in STEM Education Scale and Testing Measurement Invariance across Groups

Pages
163–179
Publication Date
2020-06-13
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The findings suggested that the scale can be utilized for STEM-related research to assess the competency beliefs of students.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Academic performance on science, technology, engineering, and mathematics (STEM) education is important for the economic development of countries.
📊
Key Findings & Data:From the perspectives of social cognitive theory, one of the predictors of academic performance is self-efficacy.
💡
Conclusion & Impact:The findings suggested that the scale can be utilized for STEM-related research to assess the competency beliefs of students.
🔬Design:Research Article
📍Scope:2017 Verileri
⚙️Variables:Self-Efficacy Beliefs · scale adaptation · confirmatory factor analysis

Abstract

Academic performance on science, technology, engineering, and mathematics (STEM) education is important for the economic development of countries. From the perspectives of social cognitive theory, one of the predictors of academic performance is self-efficacy. In order to measure middle school students’ self-efficacy beliefs in STEM education, STEM Competency Beliefs scale was developed in English originally by Chen, Cannady, Schunn, and Dorph (2017). In this study, it is aimed to adapt the English scale into Turkish and to provide evidence regarding reliability and validity. Throughout the adaptation process, forward and backward translation was completed. In the pilot study (n = 77), the reliability of the data and the clarity of the statements in the Turkish version of the scale was examined. In the main study, the Turkish version was administered to 330 middle school students to investigate the psychometric properties of the scale. The results pointed out that the scores obtained by the Turkish version of the scale had good internal consistency. Regarding the dimensionality of the scale, in contrast to the original version, the adapted scale showed a two-dimensional structure. Measurement invariance findings for gender groups supported configural and metric invariance, whereas scalar invariance was partially achieved. Measurement invariance findings for career choice groups supported configural, metric, and scalar invariance. Scale scores of students were estimated using multidimensional Item Response Theory. The findings suggested that the scale can be utilized for STEM-related research to assess the competency beliefs of students.

🔖

Cite This Article

DEMİRTAŞ, C., ARIKAN, S., MUĞALOĞLU, E. Z. (2020). Adaptation of the Self-efficacy Beliefs in STEM Education Scale and Testing Measurement Invariance across Groups. Eğitimde ve Psikolojide Ölçme ve Değerlendirme Dergisi, Cilt: 11 - Sayı: 2, 163–179. https://ajindex.com/articles/137252

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (4)

  1. Akgündüz, D., Aydeniz, M., Çakmakçı, G., Çavaş, B., Çorlu, M. S., Öner, T., & Özdemir, S. (2015). STEM eğitimi Türkiye raporu. Istanbul: Scala Publication. Atkinson, R., & Mayo, M. (2010, December). Refueling the U.S. innovation economy fresh approaches to science, technology, engineering and mathematics (STEM) education. The Information Technology & Innovation Foundation, Forthcoming. Retrieved from https://ssrn.com/abstract=1722822
  2. Bandura, A. (1999). Social cognitive theory: An agentic perspective. Asian Journal of Social Psychology, 2(1), 21-41.
  3. Bandura, A. (1997). Self-efficacy: The exercise of control. New York, NY: W. H. Freeman and Company. Baran, E., Canbazoglu-Bilici, S., Mesutoglu, C. & Ocak, C. (2016). Moving STEM beyond schools: Students’ perceptions about an out-of-school STEM education program. International Journal of Education in Mathematics, Science and Technology, 4(1), 9-19. doi: 10.18404/ijemst.71338 Bentler, P. M., & Chou, C. P. (1987). Practical issues in structural equation modeling. Sociological Methods and Research, 16(1), 78-117. doi: 10.1177/0049124187016001004 Bouffard-Bouchard, T., Parent, S., & Larivee, S. (1991). Influence of self-efficacy on self-regulation and performance among junior and senior high-school-age students. International Journal of Behavioral Development, 14(2), 153-164. doi: 10.1177/016502549101400203 Breiner, J. M., Harkness, S. S., Johnson, C. C., & Koehler, C. M. (2012). What is STEM? A discussion about conceptions of STEM in education and partnerships. School Science and Mathematics, 112(1), 3-11. doi: 10.1111/j.1949-8594.2011.00109.x Cai, L., Thissen, D., & du Toit, S. H. C. (2017). IRTPRO 4.2 for Windows [Computer software]. Skokie, IL: Scientific Software International. Chen, F. (2007). Sensitivity of goodness of fit indexes to lack of measurement invariance. Structural Equation Modelling, 14(3), 464-504. doi: 10.1080/10705510701301834 Chen, Y. F., Cannady, M. A., Schunn, C., & Dorph, R. (2017) Measures technical brief: Competency beliefs in STEM. Retrieved from: http://activationlab.org/wp-content/uploads/2018/03/CompetencyBeliefs_STEM-Report_20170403.pdf
  4. Cheung, G. W., & Rensvold, R. B. (2002). Evaluating goodness-of-fit indexes for testing measurement invariance. Structural Equation Modeling, 9(2), 233-255. doi: 10.1207/S15328007SEM0902_5 Chittum, J. R., Jones, B. D., Akalin, S., & Schram, Á. B. (2017). The effects of an afterschool STEM program on students’ motivation and engagement. International