Psychometric Properties of the Academic Goals Questionnaire (AGQ) in University Students from Metropolitan Lima
DOI:
https://doi.org/10.35588/f91ahg78Keywords:
Academic goals, AGQ, Validity, ReliabilityAbstract
The aim of this study was to examine the psychometric properties of the Academic Goals Questionnaire (AGQ), which measures motivation orientation, in a sample of university students from Metropolitan Lima. A total of 957 undergraduate students participated, of whom 389 were women (40.6%) and 568 were men (59.4%). To assess construct validity, a confirmatory factor analysis was conducted, yielding good fit indices for the three-factor model comprising learning goals, social reinforcement goals, and achievement goals (RMSEA = .057, SRMR = .062; CFI = .960; TLI = .954). Convergent validity was supported by Average Variance Extracted (AVE) values above .50. Additionally, to evaluate criterion-related validity, correlations were estimated between the three AGQ factors and scores on the Perceived Academic Situational Self-Efficacy Scale (EAPESA) and the Short Academic Procrastination Scale (APS-S), with most coefficients being statistically significant (p < .001). Regarding reliability, McDonald's omega coefficients were .881 for learning goals, .861 for social reinforcement goals, and .848 for achievement goals. The results support the validity and reliability of the AGQ for use in Peruvian university contexts. Validation of this instrument provides useful information for understanding motivational profiles and informing educational strategies aimed at strengthening formative processes and the development of students as part of their formation in higher education systems in the Peruvian context.
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References
Abad, F. J., Olea, J., Ponsoda, V. y García, C. (2011). Medición en ciencias sociales y de la salud. Madrid: Síntesis.
Ames, C. (1992). Classrooms: Goals, structures, and student motivation. Journal of Educational Psychology, 84(3), 261–271. DOI: 10.1037/0022-0663.84.3.261
Alegre-Bravo, A., Benavente-Dongo, D. y Guevara-Rabanal, D. (2022). Adaptación lingüística y validación de la Escala de Procrastinación Académica – versión reducida (APS-S). Propósitos y Representaciones, 10(3), e1708. DOI: 10.20511/pyr2022.v10n3.1708
Alegre-Bravo, A., Guevara-Rabanal, D. A. y Gerbi-Durand, A. (2024). Análisis psicométrico de la escala de valoración del servicio de tutoría universitaria en estudiantes de primer año de Lima, Perú. Revista Gestión de las Personas y Tecnología, 17(51), 16–36. DOI: 10.35588/z9e02n41
Alegre-Bravo, A. A. y Guevara-Rabanal, D. (2025). Influencia de la inteligencia emocional, la satisfacción con los estudios, la autoeficacia académica y la ansiedad rasgo sobre la procrastinación académica en estudiantes de psicología: Un análisis de regresión múltiple. Revista Gestión de las Personas y Tecnología, 18(52), 45–63. DOI: 10.35588/8y821m43
Ato, M., López-García, J. J. y Benavente, A. (2013). A classification system for research designs in psychology. Anales de Psicología / Annals of Psychology, 29(3), 1038–1059. DOI: 10.6018/analesps.29.3.178511
Brown, T. A. (2015). Confirmatory factor analysis for applied research (2nd ed.). New York: The Guilford Press.
Byrne, B. M. (2012). Structural equation modeling with Mplus: Basic concepts, applications, and programming (1st ed.). New York: Routledge. DOI: 10.4324/9780203807644
Cabrera, A. F., Nora, A., y Castaneda, M. B. (1992). The role of finances in the persistence process: A structural model. Research in Higher Education, 36(3), 303–336. DOI: 10.1007/BF00973759
Dweck, C. S. (1986). Motivational processes affecting learning. American Psychologist, 41(10), 1040–1048. 10.1037/0003-066X.41.10.1040
Dominguez-Lara, S. A. y Campos-Uscanga, Y. (2017). Influencia de la satisfacción con los estudios sobre la procrastinación académica en estudiantes de psicología: un estudio preliminar. Liberabit Revista Peruana de Psicología, 23(1), 123-135. http://www.scielo.org.pe/scielo.php?script=sci_arttext&pid=S1729-48272017000100010&lng=es&nrm=iso&tlng=es
Durán-Aponte, E. y Arias-Gómez, D. (2015). Validez del Cuestionario de Metas Académicas (CMA) en una muestra de estudiantes universitarios. Cuadernos Hispanoamericanos de Psicología, 15(1), 23–36. DOI: 10.18270/chps..v15i1.1776
Dweck, C. y Leggett, E. (1988) A social-cognitive approach to motivation and personality. Psychological Review, 95(2), 256-273. 10.1037/0033-295X.95.2.256
Eccles, J. S. y Wigfield, A. (2002). Motivational beliefs, values, and goals. Annual Review of Psychology, 53, 109–132. DOI: 10.1146/annurev.psych.53.100901.135153
Elliot, A. J., Murayama, K.,y Pekrun, R. (2011). A 3 × 2 achievement goal model. Journal of Educational Psychology, 103(3), 632–648. DOI: 10.1037/a0023952
Fornell, C. y Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. DOI: 10.1177/002224378101800104
Gaeta, M. L., Cavazos, J., Sánchez, A. P., Rosário, P. y Högemann, J. (2015). Propiedades psicométricas de la versión mexicana del Cuestionario para la Evaluación de Metas Académicas (CEMA). Revista Latinoamericana de Psicología, 47(1), 16–24. DOI: 10.1016/s0120-0534(15)30002-9
Gignac, G. E. y Szodorai, E. T. (2016). Effect size guidelines for individual differences researchers. Personality and Individual Differences, 102, 74–78. DOI: 10.1016/j.paid.2016.06.069
Hayamizu, T. y Weiner, B. (1991). A test Dweck´s Model of Achievement Goals as Related to Perceptions of Ability. Journal of Experimental Education, 59(3), 226-234. https://www.jstor.org/stable/20152287
Hernández-Sampieri, R. y Mendoza, C. (2018). Metodología de la investigación. Las rutas cuantitativas, cualitativa y mixta. Ciudad de México: Mc Graw-Hill Education.
Hair, J. F., Babin, B. J., Anderson, R. E. y Black, W. C. (2019). Multivariate data analysis (8th ed.). Andover: Cengage Learning.
Hu, L. T. y Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. DOI: 10.1080/10705519909540118
Jara‑Barnett, L. B., Hilarión-Palomino, M. y Manzanares‑Medina, E. (2022). Evidencias de validez y confiabilidad de la Escala de Metas de Estudio (EME) en universitarios peruanos. Revista Argentina de Ciencias del Comportamiento, 14(1), 23–35. DOI: 10.32348/1852.4206.v14.n1.29771
Kline, R. B. (2016). Principles and practice of structural equation modeling (4th ed.). New York: The Guilford Press.
McCloskey, J. D. (2011). Finally, my thesis on academic procrastination (Master´s thesis). University of Texas at Arlington. https://mavmatrix.uta.edu/psychology_theses/30/
Muñiz, J. y Fonseca‑Pedrero, E. (2019). Diez pasos para la construcción de un test. Psicothema, 31(1), 7–16. DOI: 10.7334/psicothema2018.291
Núñez-Pérez, J. C. y González-Pienda, J. A. (1994). Determinantes del rendimiento académico: (variables cognitivo-motivacionales, atribucionales, uso de estrategias y autoconcepto). Oviedo: Universidad de Oviedo, Servicio de Publicaciones. http://hdl.handle.net/10651/54806
Panadero, E. (2017). A review of self-regulated learning: Six models and four directions for research. Frontiers in Psychology, 8, 422. DOI: 10.3389/fpsyg.2017.00422
Palenzuela, D. L. (2012). Construcción y validación de una escala de autoeficacia percibida específica de situaciones académicas. Análisis y Modificación de Conducta, 9(21). DOI: 10.33776/amc.v9i21.1649
Pérez-Villalobos, M. V., Mujica-Díaz, A., González-Pienda, J. A., Núñez-Pérez, J. C. y Rosário, P. (2009). Escala de metas de estudio para estudiantes universitarios. Interamerican Journal of Psychology, 43(3), 449-455. http://pepsic.bvsalud.org/scielo.php?script=sci_arttext&pid=S0034-96902009000300004&lng=pt&tlng=es
Pintrich, P. R. (2000). An Achievement Goal Theory Perspective on Issues in Motivation Terminology, Theory, and Research. Contemporary Educational Psychology, 25(1), 92–104. DOI: 10.1006/ceps.1999.1017
Pintrich, P. R. (2004). A conceptual framework for assessing motivation and self-regulated learning in college students. Educational Psychology Review, 16(4), 385–407. http://www.jstor.org/stable/23363878
Ponterotto, J. G. y Ruckdeschel, D. E. (2007). An overview of coefficient alpha and a reliability matrix for estimating adequacy of internal consistency coefficients with psychological research measures. Perceptual and Motor Skills, 105(3), 997–1014. DOI: 10.2466/pms.105.3.997-1014
Schermelleh-Engel, K., Moosbrugger, H. y Müller, H. (2003). Evaluating the fit of structural equation models: Tests of significance and descriptive goodness-of-fit measures. Methods of Psychological Research Online, 8(2), 23–74. https://www.stats.ox.ac.uk/~snijders/mpr_Schermelleh.pdf
Schunk, D. H., Pintrich, P. R. y Meece, J. L. (2014). Motivation in education: Theory, research, and applications (4th ed.). Essex: Pearson.
Schunk, D. H. y DiBenedetto, M. K. (2020). Motivation and social cognitive theory. Contemporary Educational Psychology, 60, 101832. DOI: 10.1016/j.cedpsych.2019.101832
The jamovi project (2024). jamovi. (Version 2.6) (Computer Software). https://www.jamovi.org
Tinto, V. (2012). Completing college: Rethinking institutional action. Chicago: University of Chicago Press.
Van-de-Vijver, F. y Tanzer, N. K. (2004). Bias and equivalence in cross-cultural assessment: An overview. European Review of Applied Psychology, 54(2), 119–135. DOI: 10.1016/j.erap.2003.12.004
Zimmerman, B. J. (2000). Attaining self-regulation: A social cognitive perspective. In M. Boekaerts, P. R. Pintrich, y M. Zeidner (Eds.), Handbook of self-regulation, 13-39. Academic Press. DOI: 10.1016/B978-012109890-2/50031-7
Zinbarg, R. E., Revelle, W., Yovel, I. y Li, W. (2005). Cronbach’s α, Revelle’s β and McDonald’s ω_H: Their relations with each other and two alternative conceptualizations of reliability. Psychometrika, 70(1), 123–133. DOI: 10.1007/s11336-003-0974-7
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