Results from the analyses of data from 463 former college students between the ages of 25 and 34 years old identify those most likely to reenroll in higher education in the near future. Those who intend to reenroll are more likely to be members of minority groups, younger, single, and recently laid-off, have earned more credits, and hold strong beliefs about the value of education. Specific recommendations for strategies and policies through which colleges could motivate former students to reenroll and facilitate their transitions back into the educational system are offered. Among these, programs that include techniques for updating technology skills, improving time management and goal setting practices, and reinforcing study habits appear to be particularly appropriate to the needs of this subpopulation. Suggestions for future research on stopouts, as well as stayouts, conclude the study.
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References
1.
AndersonJ. C. & GerbingD. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411–423.
2.
AstoneN.SchoenR.EnsmingerM. & RothertK. (2000). School reentry in early adulthood: The case of inner-city African Americans. Sociology of Education, 73(3), 133–154.
BeanJ. P. (1990). Why students leave: Insights from research. In HosslerD. & BeanJ. P. (Eds.), The strategic management of college enrollments. San Francisco, CA: Jossey-Bass.
5.
BeanJ. P. & EatonS. B. (2000). A psychological model of college student retention. In BraxtonJ. M. (Ed.), Rethinking the departure puzzle: New theory and research on college student retention. Nashville, TN: Vanderbilt University Press.
6.
BeanJ. P. & MetznerB. S. (1985). A conceptual model of nontraditional undergraduate student attrition. Review of Educational Research, 55(4), 485–508, 520–530.
7.
BeckerG. S. (1964). Human capital: A theoretical and empirical analysis with special reference to education. New York, NY: National Bureau of Economic Research, Columbia University Press.
8.
BenshoffJ. (1991). Nontraditional college students: A developmental look at the needs of women and men returning to school. Journal of Young Adulthood and Middle Age, 3, 47–61.
9.
BerkovitzR. A. & O'QuinK. (2007). Predictors of graduation of readmitted “at risk” college students. Journal of College Student Retention: Research, Theory & Practice, 8(2), 199–214.
10.
BonhamL. A. & LuckieJ. I. (1993). Community college retention: Differentiating among stopouts, dropouts, and optouts. Community College Journal of Research and Practice, 17, 543–554.
11.
BrowneM. W. & CudeckR. (1993). Alternative ways of assessing model fit. In BollenK. A. & LongJ. S. (Eds.), Testing structural equation models (pp. 136–162) Newbury Park, CA: Sage.
12.
BurleyH.ButlerB. & CejdaB. (2001). Dropout and stopout patterns among developmental education students in Texas community colleges. Community College Journal of Research and Practice, 25, 767–782.
13.
BynumJ. E. & ThompsonW. E. (1983). Dropouts, stopouts and persisters: The effects of race and sex composition of college classes. College and University, 59(1), 39–48.
14.
CabreraA. F.NoraA. & CastanedaM. B. (1993). College persistence: Structural modeling of an integrated model of student retention. Journal of Higher Education, 64, 123–139.
15.
Carnegie Commission on Higher Education. (1973). The Carnegie classification of institutions of higher education. Carnegie Commission for the Advancement of Teaching. Retrieved from http://www.carnegiefoundation.org/classifications/.
16.
CarnevaleA. P.SmithN. & StrohlJ. (2010). Help wanted: Projections of jobs and education requirements through 2018. Georgetown University: Center on Education and the Workforce. Retrieved from http://www9.georgetown.edu/grad/gppi/hpi/cew/pdfs/FullReport.pdf.
17.
DaubmanK. A.WilliamsV. G.JohnsonD. H. & CrumpD. (1985). Time of withdrawal and academic performance: Implications for withdrawal policies. Journal of College Personnel, 26(6), 518–524.
18.
DesJardinsS. L.AhlburgD. A. & McCallB. P. (2002). A temporal investigation of factors related to timely degree completion. The Journal of Higher Education, 73(5), 555–581.
19.
DesJardinsS. L.AhlburgD. A. & McCallB. P. (2006). An integrated model of application, admission, enrollment, and financial aid. The Journal of Higher Education, 77(3), 381–429.
DipreteT. & BuchmannC. (2006). Gender-specific trends in the value of education and the emerging gender gap in college completion. Demography, 43(1), 1–24.
22.
FornellC. & LarckerD. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18, 39–50.
GhilaniM. (2008). Displaced workers unsuccessfully reenter the workforce: Post graduation from a community college. Community College Journal of Research and Practice, 32(8), 573–581.
26.
GrimesS. K. & AntworthT. (1996). Community college withdrawal decisions: Student characteristics and subsequent reenrollment patterns. Community College Journal of Research and Practice, 20, 345–361.
27.
GrossettJ. M. (1993). A profile of college stopouts. Community College Review, 20(4), 51–58.
28.
HammerT. (2003). The probability for unemployed young people to re-enter education or employment: A comparative study in six northern European countries. British Journal of the Sociology of Education, 24(2), 209–223.
HornL.PeterK. & RooneyK. (2002). Profiles of undergraduates in U.S. postsecondary education institutions: 1999–2000. Education Statistics Quarterly, 4(3), 79–86.
31.
HosmerD. W. & LemeshowS. (2000). Applied logistic regression. New York, NY: John Wiley and Sons.
32.
HoytJ. E. & WinnB. A. (2004). Understanding retention and college student bodies: Differences between drop-outs, stopouts, opt-outs, and transfer-outs. NASPA Journal, 41(3), 395–417.
33.
HuL. T. & BentlerP. M. (1999). Cut-off criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1–55.
34.
JohnsonI. Y. (2006). Analysis of stopout behavior at a public research university: The multi-spell discrete-time approach. Research in Higher Education, 47(8), 905–934.
35.
KimmelS. B. & McNeeseM. N. (2006). Barriers to business education: Motivating adult learners. Journal of Behavioral and Applied Management, 7(3), 192–202.
36.
KleinJ. (1990). An analysis of the motivational characteristics of college reentry students. College Student Journal, 24(3), 281–286.
37.
KnappT. & HarmsJ. (2002). When the screen goes blank: A television plant closing and its impacts on workers. Sociological Quarterly, 43(4), 607–626.
38.
LightA. (1995). Hazard model estimates of the decision to reenroll in school. Labour Economics, 2, 381–406.
OsegueraL. & RheeB. (2009). The influence of institutional retention climates on student persistence to degree completion: A multilevel approach. Research in Higher Education, 50, 546–569.
41.
PascarellaE. T.DubyP. B.MillerV. A. & RasherS. P. (1981). Preenrollment variables and academic performance as predictors of freshman year persistence, early withdrawal, and stopout behavior in an urban, nonresidential university. Research in Higher Education, 15, 329–349.
42.
PompperD. (2006). Toward a relationship-centered approach to student retention in higher education. Public Relations Quarterly, 51(2), 29–36.
43.
Richter-AntionD. (1986). Qualitative differences between adult and younger students. NASPA Journal, 23, 58–62.
44.
St. JohnE. P.CabreraA. F.NoraA. & AskerE. (2000). Economic influences on persistence reconsidered: How can finance research inform the reconceptualization of persistence models? In BraxtonJ. M. (Ed.), Reworking the student departure puzzle (pp. 29–47). Nashville, TN: Vanderbilt University Press.
45.
SilvaT.CahalanM.Lacierno-PaquetN. & StoweP. (1998). Adult education participation decisions and barriers: Review of conceptual frameworks and empirical studies. Working Paper No. 98-10. Washington, DC: U.S. Department of Education, National Center for Education Statistics. Retrieved from http://www.eric.ed.gov/ERICDocs/data/ericdocs2sql/content_storage_01/0000019b/80/17/a1/98.pdf.
46.
SmartJ. C. & PascarellaE. T. (1987). Influences on the intention to enter higher education. Journal of Higher Education, 58(3), 306–322.
47.
SpanardJ. (1990). Beyond intent: Reentering college to complete the degree. Review of Educational Research, 60(3), 309–344.
48.
StimpsonM. & JanosikS. (2008). Characteristics of students who reenroll after serving a disciplinary suspension. NASPA Journal, 44(3), 496–511.
49.
StokesJ. P. & ZusmanB. J. (1992). A study of stopouts at an urban commuter university. NASPA Journal, 29(4), 283–289.
50.
StrattonL. S.O'TooleD. M. & WetzelJ. W. (2007). Are the factors affecting dropout behavior related to initial enrollment intensity for college undergraduates?Research in Higher Education, 48(7), 453–485.
51.
StrattonL. S.O'TooleD. M. & WetzelJ. W. (2008). A multi-nominal logit model of college stopout and dropout behaviors. Economics of Education Review, 27(3), 319–331.
52.
ThomasV. (2001). Educational experiences and transitions of reentry women: Special considerations for African American female students. The Journal of Negro Education, 70(3), 139–155.
53.
TintoV. (1975). Dropout from higher education: A theoretical synthesis of recent research. Review of Educational Research, 45, 89–127.
54.
TintoV. (1993). Leaving college: Rethinking the causes and cures of student retention. Chicago, IL: The University of Chicago Press.
55.
TumenS. & ShulrufB. (2008). The effect of student loan schemes on students returning to study. Journal of Higher Education Policy and Management, 30(4), 401–414.
U.S. Department of Education. (2008). Status and trends in the education of racial and ethnic minorities. Washington, DC: Institution of Education Science, National Center for Education Statistics. Retrieved from http://nces.ed.gov/pubs2010/2010015/indicator6_24.asp.
WoosleyS. (2004). Stopout or drop-out? An examination of college withdrawals and reenrollments. Journal of College Student Retention: Research, Theory & Practice, 5(3), 293–303.
61.
WoosleyS.SlabaughK.SadlerA. E. & MasonG. W. (2005). The mystery of stopouts: Do commitment and intentions predict reenrollment?NASPA Journal, 42(2), 188–201.
