Skip to main content
Top
Published in: Quality & Quantity 1/2015

01-01-2015

Major differences: modeling profiles of community college persisters in career clusters

Authors: Grant B. Morgan, Mark M. D’Amico, Kari J. Hodge

Published in: Quality & Quantity | Issue 1/2015

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

The purpose is to explore factors associated with community college student persistence in academic program areas through the modeling of student profiles (i.e., classes) using selected variables from the Education Longitudinal Study of 2002 (ELS:2002) conducted by the National Center for Education Statistics that has followed a national sample of students from the tenth grade with follow-ups 2 and 4 years later. To this end, we used multiple-group latent class analysis in order to identify underlying classes of students and to evaluate the equivalence of the latent class solution across those students who persisted and those who did not. A four-class solution was identified that was determined to be invariant across student groups although the proportions of persisters and nonpersisters were different across classes. Using the final class solution for persisting students, we found that class membership was moderately associated with which Career Cluster students pursued.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literature
go back to reference Alfonso, M., Bailey, T.R., Scott, M.: The educational outcomes of occupational sub-baccalaureate students: evidence from the 1990s. Econ. Educ. Rev. 24, 197–212 (2005)CrossRef Alfonso, M., Bailey, T.R., Scott, M.: The educational outcomes of occupational sub-baccalaureate students: evidence from the 1990s. Econ. Educ. Rev. 24, 197–212 (2005)CrossRef
go back to reference Bailey, T., Kienzl, G., Marcotte, D.: Who benefits from postsecondary occupational education? Findings from the 1980s and 1990s (CCRC Brief No. 23). Community College Research Center, Teachers College, Columbia University, New York (2004) Bailey, T., Kienzl, G., Marcotte, D.: Who benefits from postsecondary occupational education? Findings from the 1980s and 1990s (CCRC Brief No. 23). Community College Research Center, Teachers College, Columbia University, New York (2004)
go back to reference Banfield, J.D., Raferty, A.E.: Model-based Gaussian and non-Gaussian clustering. Biometrics 49, 803–821 (1993)CrossRef Banfield, J.D., Raferty, A.E.: Model-based Gaussian and non-Gaussian clustering. Biometrics 49, 803–821 (1993)CrossRef
go back to reference Chen, X.: Students who study science, technology, engineering, and mathematics (STEM) in postsecondary education: stats in brief (NCES 2009-161). National Center for Education Statistics, Washington, DC (2009) Chen, X.: Students who study science, technology, engineering, and mathematics (STEM) in postsecondary education: stats in brief (NCES 2009-161). National Center for Education Statistics, Washington, DC (2009)
go back to reference Clery, S.: Characteristics of credential completers. Data Notes: Keeping Informed about Achieving the Dream Data 6(2) (2011) Clery, S.: Characteristics of credential completers. Data Notes: Keeping Informed about Achieving the Dream Data 6(2) (2011)
go back to reference Collins, L.M., Lanza, S.T.: Latent class and latent transition analysis: with applications in the social, behavioral, and health sciences. Wiley, Hoboken (2010) Collins, L.M., Lanza, S.T.: Latent class and latent transition analysis: with applications in the social, behavioral, and health sciences. Wiley, Hoboken (2010)
go back to reference Compton, J.I., Laanan, F.S., Starobin, S.S.: Career and technical education as pathways: factors influencing postcollege earnings of selected career clusters. J. Educ. Stud. Placed Risk 15, 93–113 (2010)CrossRef Compton, J.I., Laanan, F.S., Starobin, S.S.: Career and technical education as pathways: factors influencing postcollege earnings of selected career clusters. J. Educ. Stud. Placed Risk 15, 93–113 (2010)CrossRef
go back to reference D’Amico, M.M., Morgan, G.B., Robertson, T.C.: Student achievement in identified workforce clusters: understanding factors that influence student success. Community Coll. J. Res. Pract. 35, 773–790 (2011)CrossRef D’Amico, M.M., Morgan, G.B., Robertson, T.C.: Student achievement in identified workforce clusters: understanding factors that influence student success. Community Coll. J. Res. Pract. 35, 773–790 (2011)CrossRef
go back to reference Dadgar, M., Weiss, M.J.: Labor market returns to sub-baccalaureate credentials: how much does a community college degree or certificate pay?. (CCRC Working Paper No. 45). Community College Research Center, Teachers College, Columbia University, New York (2012) Dadgar, M., Weiss, M.J.: Labor market returns to sub-baccalaureate credentials: how much does a community college degree or certificate pay?. (CCRC Working Paper No. 45). Community College Research Center, Teachers College, Columbia University, New York (2012)
go back to reference Everitt, B.S.: Cluster analysis, 3rd edn. Wiley, New York (1993) Everitt, B.S.: Cluster analysis, 3rd edn. Wiley, New York (1993)
go back to reference Gantt, A.J.: Graduation rates of students in technical programs at an urban community college. Community Coll. J. Res. Pract. 34, 227–239 (2010)CrossRef Gantt, A.J.: Graduation rates of students in technical programs at an urban community college. Community Coll. J. Res. Pract. 34, 227–239 (2010)CrossRef
go back to reference Grubb, W.N.: The returns to education in the sub-baccalaureate labor market, 1984–1990. Econ. Educ. Rev. 16, 231–245 (1997)CrossRef Grubb, W.N.: The returns to education in the sub-baccalaureate labor market, 1984–1990. Econ. Educ. Rev. 16, 231–245 (1997)CrossRef
go back to reference Henson, J.M., Reise, S.P., Kim, K.H.: Detecting mixtures from structural model differences using latent variable mixture modeling: a comparison of relative model fit statistics. Struct. Equ. Model. 14(2), 202–226 (2007)CrossRef Henson, J.M., Reise, S.P., Kim, K.H.: Detecting mixtures from structural model differences using latent variable mixture modeling: a comparison of relative model fit statistics. Struct. Equ. Model. 14(2), 202–226 (2007)CrossRef
go back to reference Hirschy, A.S., Bremer, C.D., Castellano, M.: Career and technical education (CTE) student success in community colleges: a conceptual model. Community Coll. Rev. 39(3), 296–318 (2011)CrossRef Hirschy, A.S., Bremer, C.D., Castellano, M.: Career and technical education (CTE) student success in community colleges: a conceptual model. Community Coll. Rev. 39(3), 296–318 (2011)CrossRef
go back to reference Illich, P.A., Hagan, C., McCallister, L.: Performance in college-level courses among those concurrently enrolled in remedial courses: policy implications. Community Coll. J. Res. Pract. 28, 435–453 (2004)CrossRef Illich, P.A., Hagan, C., McCallister, L.: Performance in college-level courses among those concurrently enrolled in remedial courses: policy implications. Community Coll. J. Res. Pract. 28, 435–453 (2004)CrossRef
go back to reference Jenkins, D., Cho, S.-W.: Get with the program: accelerating community college students’ entry into and completion of programs of study (CCRC Working Paper No. 32). Community College Research Center, Teachers College, Columbia University, New York (2012) Jenkins, D., Cho, S.-W.: Get with the program: accelerating community college students’ entry into and completion of programs of study (CCRC Working Paper No. 32). Community College Research Center, Teachers College, Columbia University, New York (2012)
go back to reference Kim, D., Saatcioglu, A., Neufeld, A.: College departure: exploring student aid effects on multiple mobility patterns from four-year institutions. J. Stud. Financ. Aid 42(3), 3–24 (2012) Kim, D., Saatcioglu, A., Neufeld, A.: College departure: exploring student aid effects on multiple mobility patterns from four-year institutions. J. Stud. Financ. Aid 42(3), 3–24 (2012)
go back to reference Kolajo, E.F.: From developmental education to graduation: a community college experience. Community Coll. J. Res. Pract. 28, 365–371 (2004)CrossRef Kolajo, E.F.: From developmental education to graduation: a community college experience. Community Coll. J. Res. Pract. 28, 365–371 (2004)CrossRef
go back to reference Lee, J.B.: Different paths for different majors. Data Notes: Keeping Informed about Achieving the Dream Data, 2 (1) (2007) Lee, J.B.: Different paths for different majors. Data Notes: Keeping Informed about Achieving the Dream Data, 2 (1) (2007)
go back to reference Lee, J., Judy, J.: Choosing a STEM path: course-sequencing in high school and postsecondary outcomes (ED528924). Society for Research on Educational Effectiveness, Evanston (2011) Lee, J., Judy, J.: Choosing a STEM path: course-sequencing in high school and postsecondary outcomes (ED528924). Society for Research on Educational Effectiveness, Evanston (2011)
go back to reference Lohman, E.M., Dingerson, M.R.: The effectiveness of occupational-technical certificate programs: assessing student career goals. Community Coll. J. Res. Pract. 29, 339–355 (2005)CrossRef Lohman, E.M., Dingerson, M.R.: The effectiveness of occupational-technical certificate programs: assessing student career goals. Community Coll. J. Res. Pract. 29, 339–355 (2005)CrossRef
go back to reference Maguire, K.J., Starobin, S.S., Laanan, F.S., Friedel, J.N.: Measuring the accountability of CTE programs: factors that influence postcollege earnings among community college students. Career Tech. Educ. Res. 37, 235–261 (2012)CrossRef Maguire, K.J., Starobin, S.S., Laanan, F.S., Friedel, J.N.: Measuring the accountability of CTE programs: factors that influence postcollege earnings among community college students. Career Tech. Educ. Res. 37, 235–261 (2012)CrossRef
go back to reference McLachlan, G.J., Basford, K.E.: Mixture models: inference and applications to clustering. Marcel Dekker, New York (1988) McLachlan, G.J., Basford, K.E.: Mixture models: inference and applications to clustering. Marcel Dekker, New York (1988)
go back to reference Meredith, W.: Measurement invariance, factor analysis, and factorial invariance. Psychometrika 58, 525–543 (1993)CrossRef Meredith, W.: Measurement invariance, factor analysis, and factorial invariance. Psychometrika 58, 525–543 (1993)CrossRef
go back to reference Moore, C., Shulock, N.: Sense of direction: the importance of helping community college students select and enter a program of study. California State University Sacramento Institute for Higher Education Leadership & Policy, Sacramento (2011) Moore, C., Shulock, N.: Sense of direction: the importance of helping community college students select and enter a program of study. California State University Sacramento Institute for Higher Education Leadership & Policy, Sacramento (2011)
go back to reference Morgan, G.B.: Mixed mode latent class analysis: an examination of fit index performance for classification. Struct. Equ. Model. (in press) Morgan, G.B.: Mixed mode latent class analysis: an examination of fit index performance for classification. Struct. Equ. Model. (in press)
go back to reference Muthén, L.K., Muthén, B.O.: Statistical analysis with latent variables. Mplus User’s guide, 1998–2012. Muthén & Muthén, Los Angeles (2012) Muthén, L.K., Muthén, B.O.: Statistical analysis with latent variables. Mplus User’s guide, 1998–2012. Muthén & Muthén, Los Angeles (2012)
go back to reference Nitecki, E.M.: The power of the program: how the academic program can improve community college student success. Community Coll. Rev. 39, 98–120 (2011)CrossRef Nitecki, E.M.: The power of the program: how the academic program can improve community college student success. Community Coll. Rev. 39, 98–120 (2011)CrossRef
go back to reference Nylund, K.L., Asparouhov, T., Muthén, B.O.: Deciding on the number of classes in latent class analysis and growth mixture modeling: a Monte Carlo simulation study. Struct. Equ. Model. 14, 535–569 (2007)CrossRef Nylund, K.L., Asparouhov, T., Muthén, B.O.: Deciding on the number of classes in latent class analysis and growth mixture modeling: a Monte Carlo simulation study. Struct. Equ. Model. 14, 535–569 (2007)CrossRef
go back to reference Raykov, T., Marcoulides, G.A., Millsap, R.E.: Factorial invariance in multiple populations: a multiple testing procedure. Educ. Psychol. Meas. 73(4), 713–727 (2012)CrossRef Raykov, T., Marcoulides, G.A., Millsap, R.E.: Factorial invariance in multiple populations: a multiple testing procedure. Educ. Psychol. Meas. 73(4), 713–727 (2012)CrossRef
go back to reference Reise, S.P., Widaman, K.F., Pugh, R.H.: Confirmatory factor analysis and item response theory: two approaches for exploring measurement invariance. Psychol. Bull 114, 552–566 (1993)CrossRef Reise, S.P., Widaman, K.F., Pugh, R.H.: Confirmatory factor analysis and item response theory: two approaches for exploring measurement invariance. Psychol. Bull 114, 552–566 (1993)CrossRef
go back to reference Rosenfeld, S.A.: Community college/cluster connections: specialization and competitiveness in the U.S. and Europe. Community College Research Center, Teachers College, Columbia University, New York (1998) Rosenfeld, S.A.: Community college/cluster connections: specialization and competitiveness in the U.S. and Europe. Community College Research Center, Teachers College, Columbia University, New York (1998)
go back to reference SAS Institute, Inc. SAS 9.2: Help and documentation. SAS Institute Inc., Cary (2008) SAS Institute, Inc. SAS 9.2: Help and documentation. SAS Institute Inc., Cary (2008)
go back to reference Tofighi, D., Enders, C.K.: Identifying the correct number of classes in growth mixture models. In: Hancock, G.R., Samuelson, K.M. (eds.) Advances in latent variable mixture models, pp. 317–341. Information Age Publishing Inc., Greenwich (2008) Tofighi, D., Enders, C.K.: Identifying the correct number of classes in growth mixture models. In: Hancock, G.R., Samuelson, K.M. (eds.) Advances in latent variable mixture models, pp. 317–341. Information Age Publishing Inc., Greenwich (2008)
go back to reference U.S. Department of Education Education Longitudinal Study of 2002: Base Year Data File User’s Manual. National Center for Education Statistics, Institute of Education Sciences, Washington, DC (2004) U.S. Department of Education Education Longitudinal Study of 2002: Base Year Data File User’s Manual. National Center for Education Statistics, Institute of Education Sciences, Washington, DC (2004)
go back to reference Vandenberg, R.J., Lance, C.E.: A review and synthesis of the measurement invariance literature: suggestions, practices, and recommendations for organizational research. Organ. Res. Methods 3, 4–70 (2000)CrossRef Vandenberg, R.J., Lance, C.E.: A review and synthesis of the measurement invariance literature: suggestions, practices, and recommendations for organizational research. Organ. Res. Methods 3, 4–70 (2000)CrossRef
go back to reference Vermunt, J.K., Magidson, J.: Latent class cluster analysis. In: Hagenaars, J.A., McCutcheon, A.L. (eds.) Applied latent class analysis, pp. 89–106. Cambridge University Press, Cambridge (2002)CrossRef Vermunt, J.K., Magidson, J.: Latent class cluster analysis. In: Hagenaars, J.A., McCutcheon, A.L. (eds.) Applied latent class analysis, pp. 89–106. Cambridge University Press, Cambridge (2002)CrossRef
go back to reference Widaman, K.F., Reise, S.P.: Exploring the measurement invariance of psychological instruments: applications in the substance use domain. In: Bryant, K.J., Windle, M., West, S.G. (eds.) The science of prevention: methodological advances from alcohol and substance abuse research, pp. 281–324. APA, Washington, DC (1997)CrossRef Widaman, K.F., Reise, S.P.: Exploring the measurement invariance of psychological instruments: applications in the substance use domain. In: Bryant, K.J., Windle, M., West, S.G. (eds.) The science of prevention: methodological advances from alcohol and substance abuse research, pp. 281–324. APA, Washington, DC (1997)CrossRef
go back to reference Yang, C.: Evaluating latent class analysis models in qualitative phenotype identification. Comput. Stat. Data Anal. 50, 1090–1104 (2006)CrossRef Yang, C.: Evaluating latent class analysis models in qualitative phenotype identification. Comput. Stat. Data Anal. 50, 1090–1104 (2006)CrossRef
Metadata
Title
Major differences: modeling profiles of community college persisters in career clusters
Authors
Grant B. Morgan
Mark M. D’Amico
Kari J. Hodge
Publication date
01-01-2015
Publisher
Springer Netherlands
Published in
Quality & Quantity / Issue 1/2015
Print ISSN: 0033-5177
Electronic ISSN: 1573-7845
DOI
https://doi.org/10.1007/s11135-013-9970-x

Other articles of this Issue 1/2015

Quality & Quantity 1/2015 Go to the issue

Premium Partner