My Attitudes Toward Science (MATS): the development of a multidimensional instrument measuring students’ science attitudes
Tóm tắt
The number of students in the United States choosing science, technology, engineering or mathematics careers is declining at a time when demand for these occupations is rapidly increasing. Numerous efforts have been undertaken to reverse this trend, yet results are uncertain. One’s attitude is key to many choices one makes, and this includes, for many, what career is pursued. Hence, teachers, informal science educators and researchers often wish to measure children’s attitudes towards science using a pretest and a posttest to determine the effects of a curriculum, an activity or an intervention. However, measuring children’s attitudes toward science has been problematic because of both the limited use of basic psychometrics in checking reliability and validity of instruments and the lack of a single construct of students’ attitudes towards science being surveyed. This article reports the development and testing of an instrument for measuring students’ science attitudes across several dimensions. Thirty-two scientists and teachers from the northeastern and south central United States participated in content validity trials. The instrument was field tested with 549 children (92 elementary-school students, 327 middle-school students and 130 high-school students) from 6 rural and suburban school systems located in the northeastern United States to determine inter-item reliability for each dimension. The resulting instrument, entitled My Attitudes Toward Science (MATS), has 40 items that measure four dimensions: (1) Attitude towards the subject of science; (2) Desire to become a scientist; (3) Value of science to society; and (4) Perception of scientists. The MATS, as a multidimensional instrument, can measure several facets of students’ attitude toward science and is designed to be used across grades levels and to be scored easily.
Tài liệu tham khảo
Ashby, C. M. (2006). Higher education: Science, technology, engineering, and mathematics trends and the role of federal programs. Washington DC: U.S. Government Accountability Office (Education Resources Information Center Document ED 491614).
Barman, C. R. (1999). Students’ views about scientists and school science: Engaging K–8 teachers in a national study. Journal of Science Teacher Education, 10(1), 43–54.
Blalock, C. L., Lichtenstein, M. J., Owen, S., Pruski, L., Marshall, C., & Toepperwein, M. (2008). In pursuit of validity: A comprehensive review of science attitude instruments 1935–2005. International Journal of Science Education, 30(7), 961–977.
Chambers, D. W. (1983). Stereotypic images of the scientist: The Draw-A-Scientist test. Science Education, 67(2), 255–265.
Chase, C. I. (1984). Elementary statistical procedures. New York: McGraw Hill.
Finson, K. D. (2003). Applicability of the DAST-C to the images of scientists drawn by students of different racial groups. Journal of Elementary Science Education, 15(1), 15–26.
Finson, K. D., Beaver, J. B., & Cramond, B. L. (1995). Development and field test of a checklist for the Draw-A-Scientist test. School Science and Mathematics, 95(4), 195–205.
Finson, K. D., Thomas, J., & Pedersen, J. (2006). Comparing science teaching styles to students’ perceptions of scientists. School Science and Mathematics, 106(1), 8–15.
Fraenkel, J. R., & Wallen, N. E. (2011). How to design and evaluate research in education. New York: McGraw-Hill Inc.
Fung, Y. Y. H. (2002). A comparative study of primary and secondary school students’ images of scientists. Research in Science & Technological Education, 20(2), 199–213.
Gall, J. P., Gall, M. D., & Borg, W. R. (1999). Applying educational research: A practical guide. New York: Longman.
Gay, L. R., Mills, G. E., & Airasian, P. W. (2011). Educational research: Competencies for analysis and application. Upper Saddle River, NJ: Merrill.
Gonçalves, D. C., Guedes, J., Fonseca, A. M., Pinto, F. C., Martin, I., Byrne, G. J., & Pachana, N. A. (2011). Attitudes, knowledge, and interest: Preparing university students to work in an aging world. International Psychogeriatrics, 23(2), 315–321.
Harrison, M., Dunbar, D., Ratmansky, L., Boyd, K., & Lopatto, D. (2011). Classroom-based science research at the introductory level: Changes in career choices and attitude. CBE Life Sciences Education, 10, 279–286.
Hernandez, P. R., Bodin, R., Elliott, J. W., Ibrahim, B., Rambo-Hernandez, K. E., Chen, T. W., & De Miranda, M. A. (2014). Connecting the STEM dots: Measuring the effect of an integrated engineering design intervention. International Journal of Technology and Design Education, 24(1), 107–120.
Hillman, S. J., Bloodsworth, K. H., Tilburg, C. E., Zeeman, S. I., & List, H. E. (2014). K–12 students’ perception of scientists: Finding a valid measurement and exploring whether exposure to scientists makes an impact. International Journal of Science Education,. doi:10.1080/09500693.2014.908264.
Horn, C. (2012). The tech sector is buoyant, exports are strong, there is a skills shortage, so where are our young scientists? Irish Times, January 27.
Jacobs, L. C., & Chase, C. I. (1992). Developing and using tests effectively: A guide for faculty. San Francisco: Jossey-Bass Publishers.
Koren, P., & Bar, V. (2009). Pupils’ image of ‘the scientist’ among two communities in Israel: A comparative study. International Journal of Science Education, 31(18), 2485–2509.
Lavrakas, P. (2008). Encyclopedia of survey research methods (Sage Research Methods). Retrieved April, 2014 from http://srmo.sagepub.com/view/encyclopedia-of-survey-research-methods/n193.xm
Lederman, N. G., Abd-El-Khalick, F., Bell, R. L., & Schwartz, R. (2002). Views of nature of science questionnaire: Toward valid and meaningful assessment of learner’s conceptions of nature of science. Journal of Research in Science Teaching, 39(6), 497–521.
Lederman, N. G., Wade, P. D., & Bell, R. L. (1998). Assessing the nature of science: What is the nature of our assessments? Science & Education, 7, 595–615.
Losh, S. C., Wilke, R., & Pop, M. (2008). Some methodological issues with “Draw A Scientist Tests” among young children. International Journal of Science Education, 30(6), 773–792.
Marshall, R. K. (1949). Televising science. Physics Today, 2(1), 26–30.
Monhardt, R. M. (2003). The image of the scientist through the eyes of Navajo children. Journal of American Indian Education, 42(3), 25–39.
Moore, R. W., & Foy, R. L. H. (1997). The scientific attitude inventory: A revision (SAI II). Journal of Research in Science Teaching, 34(4), 327–336.
Moore, R. W., & Sutman, F. X. (1970). The development, field test and validation of an inventory of scientific attitudes. Journal of Research in Science Teaching, 7, 85–94.
Munby, H. (1983). Thirty studies involving the “Scientific Attitude Inventory”: What confidence can we have in this instrument? Journal of Research in Science Teaching, 20(2), 141–162.
National Research Council. (2012). A framework for K–12 science education: Practices, cross-cutting concepts, and core ideas. Washington, DC: The National Academies Press.
Nunnally, J. C. (1978). Psychometric theory (2nd ed.). New York: McGraw-Hill.
Rotherham, A. J. (2011). The next great resource: Time. http://content.time.com/time/printout/0,8816,2074024,00.html#
Rubin, E., Bar, V., & Cohen, A. (2003). The images of scientists and science among Hebrew- and Arabic-speaking pre-service teachers in Israel. International Journal of Science Education, 25(7), 821–846.
Stemler, S. E. (2004). A comparison of consensus, consistency, and measurement approaches to estimating interrater reliability. Practical Assessment, Research & Evaluation, 9(4). http://pareonline.net/getvn.asp?v=9&n=4
Tavakol, M., & Dennick, R. (2011). Making sense of Cronbach’s alpha. International Journal of Medical Education, 2011(2), 53–55.
Thomas, M. D., Henley, T. B., & Snell, C. M. (2006). The Draw-A-Scientist test: A different population and a somewhat different story. College Student Journal, 40(1), 140–148.
Tilman, D. (2013). Implications of problem based learning (PBL) in elementary schools upon the K–12 engineering education pipeline (p. 18). Atlanta, GA: ASEE Annual Conference and Exposition. Code 99351.
Valla, J. M., & Williams, W. M. (2012). Increasing achievement and higher-education representation of under-represented groups in science, technology, engineering, and mathematics fields: A review of current K–12 intervention programs. Journal of Women and Minorities in Science and Engineering, 18(1), 21–53.
Wareing, C. (1982). Developing the WASP: Wareing attitudes toward science protocol. Journal of Research in Science Teaching, 19(8), 639–645.
Wareing, C. (1990). A survey of attitudes toward science. Journal of Research in Science Teaching, 27(4), 371–386.
Weinburg, M. H., & Steele, D. (2000). The modified attitudes toward science inventory: Developing an instrument to be used with fifth grade urban students. Journal of Women and Minorities in Science and Engineering, 6, 87–94.
Wenning, C. J. (2009). Scientific epistemology: How scientists know what they know. Journal of Physics Teacher Education Online, 5(2), 3–15.
Xinhua News Agency—CEIS. (2012). Indonesia’s research institute warns of looming scientist shortage. September 20.