A latent profile analysis of first-year university students’ academic expectations

  1. Araújo, Alexandra M. 3
  2. Assis Gomes, Cristiano Mauro 4
  3. Almeida, Leandro S. 1
  4. Núñez, Jose Carlos 2
  1. 1 Institute of Education, University of Minho, PORTUGAL
  2. 2 Faculty of Psychology, University of Oviedo, SPAIN
  3. 3 Department of Psychology and Education, Portucalense University
  4. 4 Department of Psychology, Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, BRAZIL
Revista:
Anales de psicología

ISSN: 0212-9728 1695-2294

Año de publicación: 2019

Título del ejemplar: January

Volumen: 35

Número: 1

Páginas: 58-67

Tipo: Artículo

DOI: 10.6018/ANALESPS.35.1.299351 DIALNET GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: Anales de psicología

Resumen

Las expectativas académicas son una variable importante en la explicación de la adaptación de los estudiantes de primer año y su éxito académico. Este trabajo utiliza el análisis de perfil latente como estrategia estadística centrada en la persona para clasificar a los estudiantes en grupos de expectativas similares en relación con la educación superior, al comienzo del primer año en la universidad. Participaron 2.478 estudiantes portugueses de primer año. Basándonos en las puntuaciones de las siete dimensiones de las expectativas, identificamos seis tipos de estudiantes. La mayoría de los estudiantes (84%) presentaron niveles moderados de expectativas, mientras que el 8% y el 4% presentaron expectativas muy altas y bajas, respectivamente. Una clase incluyó al 4% de los estudiantes, con altas expectativas en relación a la calidad de la educación y para el compromiso político y la ciudadanía y menores expectativas en cuanto a interacción social y atención a las presiones sociales. Varones e estudiantes mayores presentan expectativas más positivas. Estudiantes de familias más privilegiadas presenten mayores expectativas hacia el compromiso político y de experiencias de ciudadanía, así como menores expectativas de interacción social y de ocio y de atención a las presiones sociales.

Referencias bibliográficas

  • Almeida, L. S., Deaño, M., Araújo, A. M., Costa, A. R., Conde, A., & Alfonso, S. (2012). Questionário de Perceções Académicas: Versão Expectativas (QPA-E) [Academic Perceptions Questionnaire (APQ) - Expectations]. Braga: Universidade do Minho; Ourense: Universidade de Vigo-Ourense.
  • Bergman, L. R., & Andersson, H. (2010). The person and the variable in developmental psychology. Zeitschrift für Psychologie/ Journal of Psychology, 218(3), 155-166. doi: 10.1027/0044-3409/a000025
  • Berlin, K. S., Williams, N. A., & Parra, G. R. (2014). An introduction to latent variable mixture modeling (part 1): Overview and cross-sectional latent class and latent profile analyses. Journal of Pediatric Psychology, 39, 174-187. doi: 10.1093/jpepsy/jst084
  • Blickenstaff, J. C. (2005). Women and science careers: Leaky pipeline or gender filter? Gender and Education, 17, 369−386. doi: 10.1080/09540250500145072
  • Böttcher, L., Araújo, N. A. M., Nagler, J., Mendes, J. F. F., Helbing, D., Herrmann, H. J. (2016). Gender gap in the ERASMUS mobility program. PLoS ONE, 11(2): e0149514. doi: 10.1371/journal.pone.0149514
  • Buchmann, C., & DiPrete, T. A. (2006). The growing female advantage in college completion: The role of family background and academic achievement. American Sociological Review, 71, 515-541. doi: 10.1177/000312240607100401
  • Ceci, S. J., Ginther, D. K., Kahn, S., and Williams, W. M. (2014). Women in academic science: A changing landscape. Psychological Science in the Public Interest, 15, 75–141. doi: 10.1177/1529100614541236
  • Crosnoe, R., Mistry, R., & Elder Jr., G. (2002). Economic disadvantage, family dynamics, and adolescent enrollment in higher education. Journal of Marriage and the Family, 64, 690-702. doi: 10.1111/j.1741-3737.2002.00690.x
  • Deaño, M., Diniz, A. M., Almeida, L. S., Alfonso, S., Costa, A. R., García-Señorán, M., Conde, A., Araujo, A. M., Iglesias-Sarmiento, V., Gonçalves, P., & Tellado, F. (2015). Propiedades psicométricas del Cuestionario de Percepciones Académicas para la evaluación de las expectativas de los estudiantes de primer año en Enseñanza Superior. Anales de Psicología, 31, 280-289. doi: 10.6018/analesps.31.1.161641
  • Diniz, A., Alfonso, S., Araújo, A. M., Costa, A. R., Conde, A., & Almeida, L. S. (2016). Gender differences in first-year college students’ academic expectations. Studies in Higher Education. doi: 10.1080/03075079.2016.1196350
  • Fouad, N. A., Hackett, G., Smith, P., Kantamneni, N., Fitzpatrick, M., Haag, S., & Spencer, D. (2010). Barriers and supports for continuing in mathematics and science: Gender and educational level differences. Journal of Vocational Behavior, 77, 361-373. doi:10.1016/j.jvb.2010.06.004
  • Gilard, S., & Guglielmetti, C. (2011). University life of non-traditional students: Engagement styles and impact on attrition. The Journal of Higher Education, 82, 33-53. doi: 10.1353/jhe.2011.0005
  • Gow, L., & Kember, D. (1990). Does higher education promote independent learning? Higher Education, 19, 307-322. doi: 10.1007/BF00133895
  • Howard, J. A. (2005). Why should we care about student expectations?. In T. E. Miller, B. E. Bender, J. H. Schub, & Associates (Eds.), Promoting reasonable expectations: Aligning student and institutional views of college experience (pp. 10-33). San Francisco, CA: Jossey-Bass.
  • Huang, C. (2013). Gender differences in academic self-efficacy: A meta-analysis. European Journal of Psychology of Education, 28, 1-35. doi: 10.1007/s10212-011-0097-y
  • Jackson, L. M., Pancer, S. M., Pratt, M. W., & Hunsberger, B. E. (2000). Great expectations: The relation between expectancies and adjustment during the transition to university. Journal of Applied Social Psychology, 30, 2100-2025. doi: 10.1111/j.1559-1816.2000.tb02427.x
  • Kuh, G. D., Gonyea, R. M, & Williams, J. M. (2005). What students expect from college and what they get. In T. E. Miller, B. E. Bender, J. H. Schuh, & Associates (Eds.), Promoting reasonable expectations: Aligning student and institutional views of the college experience. San Francisco, CA: Jossey-Bass.
  • Lent, R. W., Brown, S. D., & Hackett, G. (2002). Social cognitive career theory. In D. Brown & Associates (Eds.), Career choice and development (pp. 255-311). San Francisco, CA: Jossey-Bass.
  • Moneta, L., & Kuh, G. D. (2005). When expectations and realities collide: Environmental influences on student expectations and student experiences. In T. E. Miller, B. E. Bender, J. H. Schuh & Associates (Eds.), Promoting reasonable expectations: Aligning student and institutional views of college experience (pp. 65-83). San Francisco, CA: Jossey-Bass.
  • Muthén, L. K., & Muthén, B. O. (2012). Mplus: Statistical analysis with latent variables. User’s guide (7th ed.). Los Angeles, CA: Muthén & Muthén.
  • Nightingale, S. M., Roberts, S., Tariq, V., Appleby, Y, Barnes, L., Harris, R. A., Dacre-Pool, L., & Qualter, P. (2013). Trajectories of university adjustment in the United Kingdom: Emotion management and emotional self-efficacy protect against initial poor adjustment. Learning and Individual Differences, 27, 174-181. doi: 10.1016/j.lindif.2013.08.004
  • Páramo-Fernández, M., Araújo, A. M., Tinajero-Vacas, C., Almeida, L. S., & Rodríguez-González, M. S. (2017). Predictors of students’ adjustment during the transition to university in Spain. Psicothema, 29(1), 67-72. doi: 10.7334/psicothema2016.40
  • Pascarella, E .T., & Terenzini, P. T. (2005). How college affects students: A third decade of research. San Francisco: Jossey-Bass.
  • Pascarella, E. T., Pierson, C. T. Wolniak, G. C., & Terenzini, P. T. (2004). First-generation college students: Additional evidence on college experiences and outcomes. The Journal of Higher Education, 75, 249-284. doi: 10.1353/jhe.2004.0016
  • Pascarella, E. T., Wolniak, G. C., Pierson, C. T., & Terenzini, P. T. (2003). Experiences and outcomes of first-generation students in community colleges. Journal of College Student Development, 44, 420-429. doi: 10.1353/csd.2003.0030
  • Patton, W., Creed, P., & Spooner-Lane, R. (2005). Validation of the short form of the Career Development Inventory – Australian Version with a sample of university students. Australian Journal of Career Development, 14(3), 49-59. doi: 10.1177/103841620501400308
  • Pike, G. R., Hansen, M. J., & Childress, J. E. (2014). The influence of students’ pre-college characteristics, high school experiences, college expectations, and initial enrollment characteristics on degree attainment. Journal of College Retention: Research, Theory & Practice, 16, 1-23. doi: 10.2190/CS.16.1.a
  • Pleitz, J. D., MacDougall, A. E., Terry, R. A., Buckley, M. R., &
  • Campbell, N. J. (2015). Great expectations: Examining the discrepancy between expectations and experience on college student retention. Journal of College Student Retention: Research, Theory & Practice, 17, 88-104. doi: 10.1177/1521025115571252
  • Richardson, J. T. E. (2013). Approaches to studying across the adult life span: Evidence from distance education. Learning and Individual Differences, 26, 74-80. doi: 10.1016/j.lindif.2013.04.012
  • Saavedra, L., Araújo, A. M., Taveira, M.C., & Vieira, C.M. (2014). Dilemmas of girls and women in engineering: A study in Portugal. Educational Review, 66, 330-344. doi: 10.1080/00131911.2013.780006
  • Sánchez-Sandoval, Y., & Verdugo, L. (2016). Desarrollo y validación de la Escala de Expectativas de Futuro en la Adolescencia (EEFA). Anales de Psicología, 32(2), 545-554. doi: 10.6018/analesps.32.2.205661
  • Sax, L., & Harper, C. E. (2007). Origins of the gender gap: Pre-college and college influences on differences between men and women. Research in Higher Education, 48, 669-694. doi: 10.1007/s11162-006-9046-z
  • Smith, J. S., & Wertlieb, E. C (2005). Do first-year college studentsʼ expectations align with their first-year experiences? NASPA Journal, 42(2), 153-174. doi: 10.2202/1949-6605.1470
  • Tein, J.-Y., Coxe, S., & Cham, H. (2013). Statistical power to detect the correct number of classes in latent profile analysis. Structural Equation Modeling, 20, 640-657. doi: 10.1080/10705511.2013.824781
  • Twenge, J. M., & Campbell, W. K. (2001). Age and birth cohort differences in self-esteem: A cross temporal meta-analysis. Personality and Social Psychology Review, 5, 321-344. doi: 10.1207/S15327957PSPR0504_3
  • Vuong, M., Brown-Welty, S., & Tracz, S. (2010). The effects of self-efficacy on academic success of first-generation college sophomore students. Journal of College Student Development, 51, 50-64. doi: 10.1353/csd.0.0109
  • Wang, J., & Wang, X. (2012). Structural equation modeling: Applications using Mplus. Chichester, UK: John Wiley & Sons Ltd.