Higher education institutions have prioritized supporting undecided students with their major and career decisions for decades. This study used a U.S. public research-focused university’s large-scale institutional data set and undecided student’s retention and graduation rate predictors to demonstrate how to couple student and institutional data with predictive analytics to understand the different demographics, academic characteristics, and the number of major changes between undecided and decided students. This study helps practitioners take the first step in using data analytics to inform decision-making in academic advising and supporting undecided students’ academic success.
AllenJ.RobbinsS. (2010).
Effects of interest–major congruence, motivation, and academic performance on timely degree attainment. Journal of Counseling Psychology,
57, 23–35. doi:10.1037/a0017267
2.
ApplebyD. C. (2008). Advising as teaching and learning. In GordonV. N.HableyW. R.GritesT. J. (Eds.), Academic advising: A comprehensive handbook (pp. 85–102).
San Francisco, CA:
Jossey-Bass.
3.
AstinA. W. (1984).
Student involvement: A developmental theory for higher education. Journal of College Student Personnel,
25(4), 297–308.
BaeplerP.MurdochC. J. (2010).
Academic analytics and data mining in higher education. International Journal for the Scholarship of Teaching and Learning,
4(2), 17. doi:10.20429/ijsotl.2010.040217
Chen, Y. (April), & Upah, S. (2018). Data analytics and STEM student success: The impact of predictive analytics-informed academic advising among undeclared first-year engineering students. Journal of College Student Retention: Research, Theory & Practice. 10.1177/1521025118772307
9.
CoeR. (2002, September). It’s the effect size, stupid: What effect size is and why it is important. Paper presented at the Annual Conference of the British Educational Research Association, University of Exeter, Exeter, England. Retrieved from http://www.leeds.ac.uk/educol/documents/00002182.htm
DicksonL. (2010).
Race and gender differences in college major choice. The ANNALS of the American Academy of Political and Social Science,
627(1), 108–124. doi:10.1177/0002716209348747
12.
EllisK. C. (2014).
Academic advising experiences of first-year undecided students: A qualitative study. NACADA Journal,
34(2), 42–50. doi:10.12930/NACADA-13-001
13.
ForakerM. J. (2012, June). Does changing majors really affect the time to graduate? The impact of changing majors on student retention, graduation, and time to graduate. Paper presented at the Annual Meeting of the Association for Institutional Research, New Orleans, LA.
14.
Freedman, L. (2013). The Developmental Disconnect in Choosing a Major: Why Institutions Should Prohibit Choice until Second Year. The Mentor: Innovative Scholarship On Academic Advising, 15. doi:10.26209/mj1561278
15.
GordonV. N. (1981).
The undecided student: A developmental perspective. The Personnel and Guidance Journal,
59(7), 433–439. doi:10.1002/j.2164-4918.1981.tb00590.x
16.
GordonV. N. (1992). Handbook of academic advising.
Westport, CT:
Greenwood Press.
17.
GordonV. N. (2007). The undecided college student: An academic and career advising challenge (3rd ed.).
Springfield, IL:
Charles C Thomas Publisher.
18.
GordonV. N.SteeleG. E. (2015). The undecided college student: An academic and career advising challenge (4th ed.).
Springfield, IL:
Charles C. Thomas Publishers.
19.
GraunkeS.WoosleyS.HelmsL. (2006).
How do their initial goals impact students’ chances to graduate? An exploration of three types of commitment. NACADA Journal,
26(1), 13–18. doi:10.12930/0271-9517-26.1.13
20.
HollandJ. L.HollandJ. E. (1977).
Vocational indecision: More evidence and speculation. Journal of Counseling Psychology,
24(5), 404–414. doi:10.1037/0022-0167.24.5.404
21.
KreysaP. G. (2007).
The impact of remediation on persistence of under-prepared college students. Journal of College Student Retention,
8(2), 251–270. doi:10.2190/C90C-PHWY-G6B2-1N5E
22.
LeachJ. K.PatallE. A. (2016).
Need-supportive advising for undecided students. NACADA Journal,
36(2), 20–33. doi:10.12930/NACADA-15-035
23.
LeppelK. (2001).
The impact of major on college persistence among freshmen. Higher Education,
41(3), 327–342. doi:10.1023/A:1004189906367
24.
LorenzettiJ. P. (2011).
Got major? Program aims to aid undeclared students’ persistence. Student Affairs Leader,
39(11), 1–2.
25.
MalgwiC. A.HoweM. A.BurnabyP. A. (2005).
Influences on students’ choice of college major. Journal of Education for Business,
80(5), 275–282.
26.
MayhallJ.BurgJ. E. (2002).
Solution-focused advising with the undecided student. NACADA Journal,
22(1), 76–84. doi:10.12930/0271-9517-22.1.76
27.
McDanielsR. M.CarterJ. K.HeinzenC. J.CandrlK. I.WiebergA. M. (1994).
Undecided/undeclared: Working with “deciding” students. Journal of Career Development,
21(2), 135–139. doi:10.1007/BF02117437
28.
MicceriT. (2001, June). Change your major and double your graduation chances. Paper presented at the Annual Meeting of the Association for Institutional Research, Long Beach, CA. Retrieved from https://files.eric.ed.gov/fulltext/ED453756.pdf
29.
MurphyM. (2000, May). Predicting graduation: Are test score and high school performance adequate. Paper presented at the AIR Annual Forum, Cincinnati, OH.
30.
OsipowS. H.CarneyC. G.BarakA. (1976).
A scale of educational-vocational undecidedness: A typological approach. Journal of Vocational Behavior,
9(2), 233–243. doi:10.1016/0001-8791(76)90081-6
31.
ParnellA.JonesD.WesawA.BrooksD. C. (2018).
Institutions’ use of data and analytics for student success: Results from a national landscape analysis. EDUCAUSE Center for Analysis and Research (ECAR),
11, 1–31. Retrieved from https://www.naspa.org/images/uploads/main/DATA2018_DOWNLOAD.pdf
32.
Sklar, J. (2014, September). The impact of change of major on time to bachelor’s degree completion with special emphasis on stem disciplines: A multilevel discrete-time hazard modeling approach (Research Report No. RG13-34). San Luis Obispo, CA: California Polytechnic State University.
33.
SoriaK. M.StebletonM. (2013).
Major decisions: Motivations for selecting a major, satisfaction, and belonging. NACADA Journal,
33(2), 29–43. doi:10.12930/NACADA-13-018
34.
Steele, G. E. (1994). Major Changers: A special type of undecided student. In V. N. Gordon (Ed.), Issues in advising the undecided college student (pp. 85–92). Columbia: University of South Carolina, National Resource Center for the First-Year Experience and Students in Transition.
35.
SteeleG. E. (2003).
A research-based approach to working with undecided students: A case study illustration. NACADA Journal,
23(1–2), 10–20. doi:10.12930/0271-9517-23.1-2.10
36.
St. JohnE. P.HuS.SimmonsA.CarterD. F.WeberJ. (2004).
What difference does a major make? The influence of college major field on persistence by African American and White students. Research in Higher Education,
45(3), 209–232. doi:10.1023/B:RIHE.0000019587.46953.9d
37.
TintoV. (1975).
Dropout from higher education: A theoretical synthesis of recent research. Review of Educational Research,
45(1), 89–125. doi:10.3102/00346543045001089
38.
TintoV. (1993). Leaving college: Rethinking the causes and cures for student attrition (2nd ed.).
Chicago, IL:
University of Chicago Press.
39.
TintoV. (2007).
Research and practice of student retention: What next?Journal of College Student Retention: Research, Theory & Practice,
8(1), 1–19. doi:10.2190/4YNU-4TMB-22DJ-AN4W
40.
TintoV. (2014).
Tinto’s South Africa lectures. Journal of Student Affairs in Africa,
2(2), 5–28. doi:10.14426/jsaa.v2i2.66
41.
Wirth, R.Hipp, J. (2000, April). CRISP-DM: Towards a standard process model for data mining. In K. Mackin (Ed.), Proceedings of the Fourth International Conference on the Practical Application of Knowledge Discovery and Data Mining, (pp. 29–39). Manchester, UK: Practical Application Company.
42.
YueH.FuX. (2017).
Rethinking graduation and time to degree: A fresh perspective. Research in Higher Education,
58(2), 184–213. doi:10.1007/s11162-016-9420-4
