Abrami, P. C., & d’Apollonia, S. (1991). Multidimensional students’ evaluations of teaching effectiveness; The generalizability of “N = 1” research: comment on Marsh (1991). Journal of Educational Psychology,
83, 411–415.
Article
Google Scholar
Arias, J. T. G. (1996). Conjoint-based preferential segmentation in the design of a new financial service. International Journal of Bank Marketing,
14(3), 30–32.
Article
Google Scholar
Berk, R. A. (2005). Survey of 12 strategies to measure teaching effectiveness. International Journal of Teaching and Learning in Higher Education,
17(1), 48–62.
Google Scholar
Biesma, R. G., Pavlova, M., van Merode, G. G., & Groot, W. (2007). Using conjoint analysis to estimate employers’ preferences for key competencies of master level Dutch graduates entering the public health field. Economics of Education Review,
26(3), 375–386.
Article
Google Scholar
Cashin, W. E., & Downey, R. G. (1992). Using global student rating items for summative evaluation. Journal of Educational Psychology,
84, 563–572.
Article
Google Scholar
Choi, Y. R., & Shepherd, D. A. (2004). Entrepreneurs’ decision to exploit opportunities. Journal of Management,
30(3), 377–395.
Article
Google Scholar
Davies, M., Hirschberg, J. G., Lye, J. N., Johnston, C., & McDonald, I. M. (2007). Systematic influences on teaching evaluations: The case for caution. Australian Economic Papers,
46(1), 18–38.
Article
Google Scholar
Ellis, L., Burke, D. M., Lomire, P., & McCormack, D. R. (2003). Student grades and average ratings of instructional quality: The need for adjustment. The Journal of Educational Research,
97(1), 35–40.
Article
Google Scholar
Feldman, K. A. (1997). Identifying exemplary teachers and teaching: Evidence from student ratings. In R. P. Perry & J. C. Smart (Eds.), Effective teaching in higher education: Research and practice (pp. 368–395). New York: Agathon Press.
Google Scholar
Gray, M., & Bergmann, B. R. (2003). Student teaching evaluations: Inaccurate, demeaning, misused. Academe,
89(5), 44–46.
Article
Google Scholar
Green, P. E., & Rao, V. R. (1971). Conjoint measurement for quantifying judgmental data. Journal of Marketing Research,
8, 355–363.
Article
Google Scholar
Gursoy, D., & Umbreit, W. T. (2005). Exploring student’s evaluations of teaching effectiveness: What factors are important? Journal of Hospitality and Tourism Research,
29(1), 91–109.
Article
Google Scholar
Haddad, Y., Haddad, J., Olabi, A., Shuayto, N., Haddad, T., & Toufeili, I. (2007). Mapping determinants of purchase intent of concentrated yogurt (Labneh) by conjoint analysis. Food Quality and Preference,
18, 795–802.
Article
Google Scholar
Hair, J. F., Anderson, R. E., Tatham, R. L. & Black W.C. (1998). Multivariate data analysis, 5th Ed. Upper Saddle River, New Jersey. Prentice-Hall International.
Hensher, D. (2001). The valuation of commuter travel time savings for car drivers: Evaluating alternative model specifications. Transportation,
28, 101–118.
Article
Google Scholar
Hur, J. S., & Pak, R. J. (2007). Conjoint analysis for the preferred subjects of elementary school computer education. Journal of the Korean Data and Information Science Society,
18(2), 357–364.
Google Scholar
Kim, C., Choe, S., Choi, C., & Park, Y. (2008). A systematic approach to new mobile service creation. Expert Systems with Applications,
35, 762–771.
Article
Google Scholar
Kim, A., Son, Y. D., & Sohn, S. Y. (2009). Conjoint analysis of enhanced English Medium instruction for college students. Expert Systems with Applications,
36, 10197–10203.
Article
Google Scholar
Kulik, J. A. (2001). Student ratings: validity, utility, and controversy. New Directions for Institutional Research,
109, 9–25.
Article
Google Scholar
Kuzmanovic, M., & Martic, M. (2012a). An approach to competitive product line design using conjoint data. Expert Systems with Application,
39(8), 7262–7269. doi:10.1016/j.eswa.2012.01.097.
Article
Google Scholar
Kuzmanovic, M., & Martic, M. (2012b). Using conjoint analysis to create superior value to customers. Metalurgia International,
17(2), 93–99.
Google Scholar
Kuzmanovic, M., Panic, B., & Martic, M. (2011). Identification of key positioning factors in the retail sector: A conjoint analysis approach. African Journal of Business Management,
5(26), 10376–10386. doi:10.5897/AJBM11.535.
Google Scholar
Kuzmanovic, M., Vujosevic, M., & Martic, M. (2012). Using conjoint analysis to elicit patients’ preferences for public primary care service in serbia. HealthMED,
6(2), 496–504.
Google Scholar
Levy, D. S. (1995). Modern marketing research techniques and the property professional. Property Management,
13, 33–40.
Article
Google Scholar
Liaw, S.-H., & Goh, K.-L. (2003). Evidence and control of biases in student evaluations of teaching. The International Journal of Educational Management,
17(1), 37–43.
Google Scholar
Lin, Y., McKeachie, W. J., & Tucker, D. G. (1984). The use of student ratings in promotion decisions. Journal of Higher Education,
55, 583–589.
Article
Google Scholar
Luce, R. D., & Tukey, J. W. (1964). Simultaneous conjoint measurement: A new type of fundamental measurement. Journal of Mathematical Psychology,
1, 1–27.
Article
Google Scholar
Makila, M. (2004). Retaining students in retail banking through price bundling: Evidence from the Swedish Market. European Journal of Operational Research,
155, 299–316.
Article
Google Scholar
Marsh, H. W. (1987). Students’ evaluations of university teaching: Research findings, methodological issues, and directions for future research. International Journal of Educational Research,
11, 253–388.
Article
Google Scholar
Marsh, H. W. (2007). Students’ evaluations of university teaching: Dimensionality, reliability, validity, potential biases and usefulness. In R. P. Perry & J. C. Smart (Eds.), The scholarship of teaching and learning in higher education: An evidence-based perspective (pp. 319–384). New York: Springer.
Chapter
Google Scholar
Marsh, H. W., Ginns, P., Morin, A. J. S., Nagengast, B., & Martin, A. J. (2011). Use of student ratings to benchmark universities: Multilevel modeling of responses to the australian course experience questionnaire (CEQ). Journal of Educational Psychology,
103(3), 733–748.
Article
Google Scholar
Marsh, H. W., & Roche, L. A. (1997). Making students’ evaluations of teaching effectiveness effective. American Psychologist,
52, 1187–1197. doi:10.1037/0003-066X.52.11.1187.
Article
Google Scholar
Marsh, H. W., & Roche, L. A. (2000). Effects of grading leniency and low workloads on students’ evaluations of teaching: Popular myth, bias, validity, or innocent bystanders? Journal of Educational Psychology,
92, 202–228. doi:10.1037/0022-0663.92.1.202.
Article
Google Scholar
Martínez-Gómez, M., Sierra, J., Jabaloyes, J., & Zarzo, M. (2011). A multivariate method for analyzing and improving the use of student evaluation of teaching questionnaires: A case study. Quality & Quantity,
45, 1415–1427. doi:10.1007/s11135-010-9345-5.
Article
Google Scholar
McCallum, L. W. (1984). A meta-analysis of course evaluation data and its use in the tenure decision. Research in Higher Education,
21, 150–158.
Article
Google Scholar
McKeachie, W. J. (1997). Student ratings: the validity of use. American Psychologist,
52, 1218–1225. doi:10.1037/0003-066X.52.11.1218.
Article
Google Scholar
Onwuegbuzie, A. J., Daniel, L. G., & Collins, K. M. T. (2009). A meta-validation model for assessing the score validity of student teacher evaluations. Quality & Quantity,
43, 197–209.
Article
Google Scholar
Orme, B. (2006). sample size issues for conjoint analysis (Chapter 7). Getting started with conjoint analysis: strategies for product design and pricing research. Reprinted from Orme B (2006). Wis: Research Publishers LLC, Madison.
Popović, M., Kuzmanović M., & Martić, M. (2012). Using conjoint analysis to elicit employers’ preferences toward key competencies for a business manager position. Management—Journal for Theory and Practice Management, 17(63), 17–26. doi: 10.7595/management.fon.2012.0011.
Google Scholar
Ryan, M., & Farrar, S. (2000). Using conjoint analysis to elicit preferences for health care. British Medical Journal,
320(7248), 1530–1533.
Article
Google Scholar
Sohn, S. Y., & Ju, Y. H. (2010). Conjoint analysis for recruiting high quality students for college education. Expert Systems with Applications,
37, 3777–3783.
Article
Google Scholar
Soutar, G. N., & Turner, J. P. (2002). Students’ preferences for college: A conjoint analysis. International Journal of Educational Management,
16(1), 40–45.
Article
Google Scholar
Spencer, K. J., & Schmelkin, L. P. (2002). Students’ perspectives on teaching and its evaluation. Assessment & Evaluation in Higher Education,
27, 397–408.
Article
Google Scholar
Sproule, R. (2000). Student evaluation of teaching: A methodological critique of conventional practices. Education Policy Analysis Archives,
8(50), 125–142.
Google Scholar
Witte, K. D., & Rogge, N. (2011). Accounting for exogenous influences in performance evaluations of teachers. Economics of Education Review,
30(4), 641–653. doi:10.1016/j.econedurev.2011.02.002.
Article
Google Scholar