Describing undergraduate STEM teaching practices: a comparison of instructor self-report instruments

International Journal of STEM Education

Volumn 2, Issue 1, 2015, Pages

  Williams, Cody T ^a   Walter, Emily M ^a,b   Henderson, Charles ^a   Beach, Andrea L ^a  

^a WESTERN MICHIGAN UNIVERSITY   (United States)

^b CALIFORNIA STATE UNIVERSITY   (United States)

Author keywords

Faculty self report; Instruments; Postsecondary; Teaching practices

Indexed keywords

EID: 84994780745     PISSN: None     EISSN: 21967822     Source Type: Journal    
DOI: 10.1186/s40594-015-0031-y     Document Type: Article

References (48)

1. American Association for the Advancement of Science [AAAS]. (2013). Describing and measuring undergraduate STEM teaching practices. Washington, DC: Author
2. Anastasi, A, & Urbina, S. (1997). Psychological testing (7th ed.). Upper Saddle River: Prentice Hall
3. Angelo, TA, & Cross, KP. (1993). Classroom assessment techniques: a handbook for college teachers (2nd ed.). San Francisco: Jossey-Bass
4. Bass, B, Cascio, W, & O’Connor, E. (1974). Magnitude estimations of expressions of frequency and amount. Journal of Applied Psychology, 59, 313
5. Beach, AL, Henderson, C, & Finkelstein, N. (2012). Facilitating change in undergraduate STEM education. Change: The Magazine of Higher Learning, 44(6), 52–59. doi:10.1080/00091383.2012.728955
6. Berelson, B. (1952). Content analysis in communication research. Glencoe: Free Press
7. Bishop, GF. (1987). Experiments with the middle response alternative in survey questions. Public Opinion Quarterly, 51, 220–232
8. Borrego, M., Cutler, S., Prince, M., Henderson, C., & Froyd, J. (2013). Fidelity of implementation of Research-Based Instructional Strategies (RBIS) in engineering science courses. Journal of Engineering Education, 102(3). doi:10.1002/jee.20020
9. Brawner, CE, Felder, RM, Allen, R, & Brent, R. (2002). A survey of faculty teaching practices and involvement in faculty development activities. Journal of Engineering Education – Washington, 91, 393–396
10. Center for Post-secondary Research at Indiana University [CPRIU]. (2012). Faculty Survey of Student Engagement (FSSE). Retrieved from: http://fsse.indiana.edu/pdf/2012/FSSE12_TS.pdf
11. Chickering, AW, & Gamson, ZF. (1987). Applying the seven principles for good practice in undergraduate education. San Francisco: Jossey-Bass
12. Clark, L, & Watson, D. (1995). Constructing validity: basic issues in objective scale development. Psychological Assessment, 7, 309
13. Coons, SJ, Rao, S, Keininger, DL, & Hays, RD. (2000). A comparative review of generic quality-of-life instruments. PharmacoEconomics, 17(1), 13–35
14. Cronbach, LJ. (1947). Test “reliability”: Its meaning and determination. Psychometrika, 12, 1–16
15. DeLamater, JD, Myers, DJ, & Collett, JL. (2014). Social psychology (8th ed.). Boulder: Westview Press
16. Haynes, SN, Richard, DCS, & Kubany, ES. (1995). Content validity in psychological assessment: a functional approach to concepts and methods. Psychological Assessment, 7, 238–247. doi:10.1037/1040-3590.7.3.238
17. Henderson, C, Beach, AL, & Finkelstein, N. (2011). Facilitating change in undergraduate STEM instructional practices: an analytic review of the literature. Journal of Research in Science Teaching, 48, 952–984. doi:10.1002/tea.20439
18. Henderson, C., & Dancy, M. (2009). The impact of physics education research on the teaching of introductory quantitative physics in the United States. Physical Review Special Topics: Physics Education Research, 5(2). doi: 10.1103/PhysRevSTPER.5.020107
19. Hurtado, S., Eagan, K., Pryor, J. H., Whang, H., & Tran, S. (2012). Undergraduate teaching faculty: the 2010–2011 HERI faculty survey
20. International Test Commission [ITC]. (2001). International guidelines for test use. International Journal of Testing, 1 (2), 93 – 114. Retrieved from: http://www.tandfonline.com/doi/abs/10.1207/S15327574IJT0102_1
21. Johns, R. (2005). One size doesn’t fit all: selecting response scales for attitude items. Journal of Elections, Public Opinion, & Parties, 15, 237–264. doi:10.1080/13689880500178849
22. Johnson, L, Adams Becker, S, Estrada, V, & Martín, S. (2013). Technology outlook for STEM+ education 2013–2018: an NMC horizon project sector analysis. Austin: The New Media Consortium
23. Krippendorff, K. (1980). Content analysis: an introduction to its methodology. Newbury Park: Sage
24. Lavicza, Z. (2010). Integrating technology into mathematics teaching at the university level. ZDM Mathematics Education, 42, 105–119. doi:10.1007/s11858-009-0225-1
25. Lunetta, VN, Hofstein, A, & Clough, MP. (2007). Learning and teaching in the school science laboratory: an analysis of research, theory, and practice. In SK Abell & NG Lederman (Eds.), Handbook of research on science education (pp. 393–441). Mahwah: Lawrence Erlbaum
26. MacDonald, RH, Manduca, CA, Mogk, DW, & Tewksbury, BJ. (2005). Teaching methods in undergraduate geoscience courses: results of the 2004 On the Cutting Edge Survey of U.S. faculty. Journal of Geoscience Education, 53, 237–252
27. Manduca, C. A., & Mogk, D. W. (2003). Using data in undergraduate science classrooms. Northfield, MN. Retrieved from http://d32ogoqmya1dw8.cloudfront.net/files/usingdata/UsingData.pdf
28. Marbach-Ad, G, Schaefer-Zimmer, KL, Orgler, M, Benson, S, & Thompson, KV. (2012). Surveying research university faculty, graduate students and undergraduates: skills and practices important for science majors. Vancouver: Paper presented at the annual meeting of the American Educational Research Association (AERA)
29. National Center for Education Statistics [NCES]. (2004). National Study of Postsecondary Faculty (NSOPF). National Center for Education Statistics. http://nces.ed.gov/surveys/nsopf/pdf/2004_Faculty_Questionnaire.pdf
30. Nunnally, JC. (1967). Psychometric theory. New York: McGraw-Hill
31. Nunnally, JC. (1978). Psychometric theory. New York: McGraw-Hill
32. Pascarella, ET, & Terenzini, PT. (1991). How college affects students. San Francisco: Jossey-Bass
33. Pascarella, ET, & Terenzini, PT. (2005). How college affects students (Vol. 2): a third decade of research. San Francisco: Jossey-Bass
34. Rea, LM, & Parker, RA. (2014). Designing and conducting survey research: a comprehensive guide (4th ed.). Hoboken: Jossey-Bass
35. Royce, D. (2007). Research methods in social work (5th ed.). Belmont: Thompson Higher Education
36. Scott, SS, McGuire, JM, & Shaw, SF. (2003). Universal design for instruction: a new paradigm for adult instruction in postsecondary education. Remedial and Special Education, 24, 369–379. doi:10.1177/07419325030240060801
37. Smith, MK, Vinson, EL, Smith, JA, Lewin, JD, & Stetzer, MR. (2014). A campus-wide study of STEM courses: new perspectives on teaching practices and perceptions. Cell Biology Education, 13(4), 624–635. doi:10.1187/cbe.14-06-0108
38. Stemler, S. (2001). An overview of content analysis. Practical Assessment, Research, and Evaluation, 7(17), 137–146
39. Thompson, B, & Daniel, LG. (1996). Factor analytic evidence for the construct validity of scores: a historical overview and some guidelines. Educational and Psychological Measurement, 56, 197–208. doi:10.1177/0013164496056002001
40. Trigwell, K, & Prosser, M. (2004). Development and use of the Approaches to Teaching Inventory. Educational Psychology Review, 16, 409–424. doi:10.1007/s10648-004-0007-9
41. Trigwell, K., Prosser, M., & Ginns, P. (2005). Phenomenographic pedagogy and a revised Approaches to Teaching Inventory. Higher Education Research and Development, 24, 349–360. doi:10.1080/07294360500284730
42. Turpen, C, & Finkelstein, ND. (2009). Not all interactive engagement is the same: variations in physics professors’ implementation of peer instruction. Physical Review Special Topics—Physics Education Research, 5(2), 1–18. doi:10.1103/PhysRevSTPER.5.020101
43. U.S. General Accounting Office [GAO]. (1996). Content analysis: a methodology for structuring and analyzing written material. Washington, D.C: GAO/PEMD-10.3.1
44. van de Vijver, F. (2001). The evolution of cross-cultural research methods. In DR Matsumoto (Ed.), The handbook of culture and psychology (pp. 77–94). New York: Oxford University Press
45. Walter, EM, Beach, AL, Henderson, C, & Williams, CT. (2014). Measuring post-secondary teaching practices and departmental climate: the development of two new surveys. Indianapolis: Paper presented at the Transforming Institutions: 21st Century Undergraduate STEM Education Conference
46. Weber, RP. (1990). Basic content analysis (2nd ed.). Newbury Park: Sage
47. Wieman, C, & Gilbert, S. (2014). The Teaching Practices Inventory: a new tool for characterizing college and university teaching in mathematics and science. CBE-Life Sciences Education, 13, 552–569. doi:10.1187/cbe.14-02-0023
48. Zieffler, A., Park, J., Delmas, R., Bjornsdottir, A. (2012). The Statistics Teaching Inventory: a survey of statistics teachers’ classrooms practices and beliefs. Journal of Statistics Education. 20(1). Retrieved from http://www.amstat.org/publications/jse/v20n1/zieffler.pdf