Development of a scientific attitude measurement instrument for Dharmacariya department students at STABN using the Fishbein and Ajzen model

Rahmat Syah; Daddy Darmawan; Syaiful Syamsuddin

doi:10.21831/pep.v27i2.66878

Development of a scientific attitude measurement instrument for Dharmacariya department students at STABN using the Fishbein and Ajzen model

Rahmat Syah, STABN Sriwijaya, Indonesia
Daddy Darmawan, Universitas Negeri Jakarta, Indonesia
Syaiful Syamsuddin, Institut Agama Islam Negeri Curup, Indonesia

10.21831/pep.v27i2.66878

Abstract

This study applies the Fishbein and Ajzen model to develop a Scientific Attitude Measurement Instrument for Students, focusing on attitudes, beliefs, and intentions towards scientific behaviors. The quantitative research employs an instrument development method, initially constructing dimensions reflecting various scientific attitudes such as attitudes towards the scientific method, collaboration, openness to knowledge, criticality, respect, honesty, independence, and interest in data analysis. The instrument measures students' scientific attitudes across three main dimensions: attitude, subjective norms, and behavioral control, aligning with the Fishbein and Ajzen model. It covers key aspects like attitudes towards the scientific method, emphasizing rigorous approaches like Popper's Falsification concept, and the importance of social interaction in scientific collaboration. Validity and reliability analyses confirm the instrument's adherence to high-quality standards, making it relevant for assessing scientific attitudes and contributing to educational quality and student development in science. It provides a comprehensive view of students' perceptions and responses to scientific attitudes. Factor Loadings in the Rotated Component Matrix, with loadings above 0.50, indicate a strong correlation within the model. Cronbach's Alpha values range from 0.922 to 0.941, ensuring internal consistency and reliability. Exploratory Factor Analysis with student participants established the construct's validity and reliability, with a Kaiser-Meyer-Olkin (KMO) value of 0.747, indicating suitability for factor analysis. Most items showed high analytical validity, but items B22 and B13 require further review or adjustment.

Keywords

fishbein; ajzen model; measurement; instrument; scientific attitude

Full Text:

PDF

References

Aiken, L. R. (1985). Three coefficients for analyzing the reliability and validity of ratings. Educational and Psychological Measurement, 45(1). https://doi.org/10.1177/0013164485451012

Azwar, S. (2012). Penyusunan Skala Psikologi. In Pustaka Pelajar.

Balbi, S., Bagstad, K. J., Magrach, A., Sanz, M. J., Aguilar-Amuchastegui, N., Giupponi, C., & Villa, F. (2022). The global environmental agenda urgently needs a semantic web of knowledge. In Environmental Evidence (Vol. 11, Issue 1). https://doi.org/10.1186/s13750-022-00258-y

Banjarnahor, A. R. (2021). Technology Acceptance Model and Theory of Planed Behavior: Mapping Literature Review. Golden Ratio of Mapping Idea and Literature Format, 1(2). https://doi.org/10.52970/grmilf.v1i2.91

Barbera, F. La, & Ajzen, I. (2020). Control interactions in the theory of planned behavior: Rethinking the role of subjective norm. Europe’s Journal of Psychology, 16(3). https://doi.org/10.5964/ejop.v16i3.2056

Bell, E., & Bryman, A. (2007). The ethics of management research: An exploratory content analysis. British Journal of Management, 18(1). https://doi.org/10.1111/j.1467-8551.2006.00487.x

Candera, M., Hidayat, R., & Marcel Kusuma, G. S. (2021). Peningkatan Kemampuan Mahasiswa Dalam Menganalisis Data Penelitian Menggunakan Aplikasi Spss. Suluh Abdi, 3(2). https://doi.org/10.32502/sa.v3i2.4148

Clark, L. A., & Watson, D. (2019). Constructing validity: New developments in creating objective measuring instruments. Psychological Assessment, 31(12). https://doi.org/10.1037/pas0000626

Dewi, & Dantes. (2023). Peningkatan Sikap Ilmiah dan Self-esteem Siswa Melalui Model Pembelajaran Inkuiri Terbimbing Berorientasi STEAM dalam Pembelajaran IPA SD. Jurnal Imiah Pendidikan Dan Pembelajaran, 7(2), 335–345.

Dewi, P. S. (2016). Perspektif Guru Sebagai Implementasi Pembelajaran Inkuiri Terbuka dan Inkuiri Terbimbing terhadap Sikap Ilmiah dalam Pembelajaran Sains. Tadris: Jurnal Keguruan Dan Ilmu Tarbiyah, 1(2). https://doi.org/10.24042/tadris.v1i2.1066

Dochmie, M. R. (2018). Keilmiahan Ilmu-ilmu Islam Ditinjau dari Prinsip Falsifikasi Karl Popper. Prosiding Konferensi Integrasi Interkoneksi Islam Dan Sains, 1(September).

Febrianti, & Silvia. (2021). Analisis faktor-faktor yang mempengaruhi minat belajar mahasiswa di masa pandemi pada mata kuliah penulisan karya ilmiah di universitas muhammadiyah sumatera utara. Al-Ulum: Jurnal Pendidikan Islam, 2(1), 48–57. https://doi.org/10.56114/al-ulum.v2i1.115

Fishbein, M., & Ajzen, I. (2021). The Influence of Attitudes on Behavior. In The Handbook of Attitudes. https://doi.org/10.4324/9781410612823-13

Ghozali. (2016). Analisis Uji Asumsi Klasik. Binus.

Hayati, U. H. (2020). Pengaruh Metode Focus Group Discussion Terhadap Kemampuan Berpikir Kritis Dan Sikap Sosial Peserta Didik Pada Materi Pencemaran Lingkungan. Applied Microbiology and Biotechnology, 2507(1).

Hillman, S. J., Zeeman, S. I., Tilburg, C. E., & List, H. E. (2016). My Attitudes Toward Science (MATS): the development of a multidimensional instrument measuring students’ science attitudes. Learning Environments Research, 19(2). https://doi.org/10.1007/s10984-016-9205-x

Hjerm, M., Eger, M. A., Bohman, A., & Fors Connolly, F. (2020). A New Approach to the Study of Tolerance: Conceptualizing and Measuring Acceptance, Respect, and Appreciation of Difference. Social Indicators Research, 147(3). https://doi.org/10.1007/s11205-019-02176-y

Hoyle, R. H., & Kenny, D. A. (1999). Statistical Strategies for Small Sample Research. In Statistical strategies for small sample research.

Humida, T., Al Mamun, M. H., & Keikhosrokiani, P. (2022). Predicting behavioral intention to use e-learning system: A case-study in Begum Rokeya University, Rangpur, Bangladesh. Education and Information Technologies, 27(2). https://doi.org/10.1007/s10639-021-10707-9

Kalpita, L. M. (2021). Perencanaan Kebijakan Perawatan Pada Mesin Pompa Menggunkanan Metode Reability Centered Maintenance (RCM). Frontiers in Neuroscience, 14(1).

Kaur, R., & Singh, J. (2023). Perceived determinants for modifying littering behavior – a study testing the influence of perceived behavioral control, environmental factors and intention. Social Responsibility Journal, 19(7). https://doi.org/10.1108/SRJ-09-2021-0385

Kim, M. H., Anderson, R. C., DeRosia, N., Madison, E., & Husman, J. (2021). There are two I’s in motivation: Interpersonal dimensions of science self-efficacy among racially diverse adolescent youth. Contemporary Educational Psychology, 66. https://doi.org/10.1016/j.cedpsych.2021.101989

Koballa, T. R., & Glynn, S. M. (2013). Attitudinal and Motivational Constructs in Science Learning. In Handbook of Research on Science Education. https://doi.org/10.4324/9780203824696-5

Mardapi, D. (2014). Teknik penyusunan instrumen tes dan nontes. Yogyakarta: Mitra Cendikia Press.

Menapace, M. (2019). Scientific Ethics: A New Approach. Science and Engineering Ethics, 25(4). https://doi.org/s

Noor, F. M., (2020). Memperkenalkan Literasi SAINS kepada Peserta Didik Usia Dini: Perspektif Mahasiswa PIAUD. Jurnal Inovasi Pendidikan Guru Raudhatul Athfal, 8(1).

Osborne, J., Simon, S., & Collins, S. (2003a). Attitudes towards science: A review of the literature and its implications. International Journal of Science Education, 25(9). https://doi.org/10.1080/0950069032000032199

Osborne, J., Simon, S., & Collins, S. (2003b). International Journal of Science Education Attitudes towards science: A review of the literature and its implications Attitudes towards science: a review of the literature and its implications. INT. J. SCI. EDUC, 25(9).

Oviyanti, F. (2016). Tantangan Pengembangan Pendidikan Keguruan di Era Global. Nadwa: Jurnal Pendidikan Islam, 7(2). https://doi.org/10.21580/nw.2013.7.2.562

Percy, W. H., Kostere, K., The Mendeley Support Team, Chimbetete, C., Mugglin, C., Shamu, T., Kalesan, B., Bertisch, B., Egger, M., Keiser, O., Bileckot, R., Koubemba, G., Nkoua, J. L., Audain, K., Carr, M., Dikmen, D., Zotor, F., Ellahi, B., Kayima, J., … Filippi, V. (2012). Overview. BMC Pregnancy Childbirth. https://doi.org/10.1186/1471-2393-13-176

Richard-Davis, G., Singer, A., King, D. D., & Mattle, L. (2022). Understanding Attitudes, Beliefs, and Behaviors Surrounding Menopause Transition: Results from Three Surveys. Patient Related Outcome Measures, Volume 13. https://doi.org/10.2147/prom.s375144

Rose, J., & Johnson, C. W. (2020). Contextualizing reliability and validity in qualitative research: toward more rigorous and trustworthy qualitative social science in leisure research. Journal of Leisure Research, 51(4). https://doi.org/10.1080/00222216.2020.1722042

Sakliressy, M. T., Sunarno, W., & Nurosyid, F. (2021). Students Scientific Attitude in Learning Physics Using Problem Based Learning Model with Experimental and Project Methods. Jurnal Ilmiah Pendidikan Fisika Al-Biruni, 10(1). https://doi.org/10.24042/jipfalbiruni.v10i1.8347

Sandi-Urena, S., Cooper, M., & Stevens, R. (2012). Effect of cooperative problem-based lab instruction on metacognition and problem-solving skills. Journal of Chemical Education, 89(6). https://doi.org/10.1021/ed1011844

Schnackenberg, A. K., Tomlinson, E., & Coen, C. (2021). The dimensional structure of transparency: A construct validation of transparency as disclosure, clarity, and accuracy in organizations. Human Relations, 74(10). https://doi.org/10.1177/0018726720933317

Sharon, A. J., & Baram-Tsabari, A. (2020). Can science literacy help individuals identify misinformation in everyday life? Science Education, 104(5). https://doi.org/10.1002/sce.21581

Shrotryia, V. K., & Dhanda, U. (2019). Content Validity of Assessment Instrument for Employee Engagement. SAGE Open, 9(1). https://doi.org/10.1177/2158244018821751

Summers, R., & Abd-El-Khalick, F. (2018). Development and validation of an instrument to assess student attitudes toward science across grades 5 through 10. Journal of Research in Science Teaching, 55(2). https://doi.org/10.1002/tea.21416

Tai, R. H., Ryoo, J. H., Skeeles-Worley, A., Dabney, K. P., Almarode, J. T., & Maltese, A. V. (2022). (Re-)Designing a measure of student’s attitudes toward science: a longitudinal psychometric approach. International Journal of STEM Education, 9(1). https://doi.org/10.1186/s40594-022-00332-4

Wen, H., Pookulangara, S., & Josiam, B. M. (2022). A comprehensive examination of consumers’ intentions to use food delivery apps. British Food Journal, 124(5). https://doi.org/10.1108/BFJ-06-2021-0655

Wildan, W., Hakim, A., Siahaan, J., & Anwar, Y. A. S. (2019). A stepwise inquiry approach to improving communication skills and scientific attitudes on a biochemistry course. International Journal of Instruction, 12(4). https://doi.org/10.29333/iji.2019.12427a

Yang, T. C., & Chen, S. Y. (2023). Investigating students’ online learning behavior with a learning analytic approach: field dependence/independence vs. holism/serialism. Interactive Learning Environments, 31(2). https://doi.org/10.1080/10494820.2020.1817759

Zulkipli, Z. A., Mohd Yusof, M. M., Ibrahim, N., & Dalim, S. F. (2020). Identifying Scientific Reasoning Skills of Science Education Students. Asian Journal of University Education, 16(3). https://doi.org/10.24191/ajue.v16i3.10311

DOI: https://doi.org/10.21831/pep.v27i2.66878