How to Cite
Guarderas Albuja, P. ., Larrea, M. de L., Moreta-Herrera, R. ., Reyes-Valenzuela, C. ., Vaca, D., & Acosta, D. (2023). Psychometric Properties of the Acoso Sexual en las Instituciones de Educación Superior Scale (ASIES) in an Ecuadorian Sample. International Journal of Psychological Research, 16(1), 16–28. https://doi.org/10.21500/20112084.5970
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Sexual harassment has become increasingly common in Ecuador’s higher education centers. However, due to the lack of instruments that evaluate sexual harassment, the magnitude of this phenomenon in Ecuador is unknown. This research aims to analyze the construct validity and internal consistency reliability of a sexual harassment measurement scale in higher education institutions (ASIES). The instrument analyzes 21 behaviors related to sexual harassment. The sample consisted of 4628 people. A descriptive analysis of the items, item-total correlation analysis, and both exploratory and confirmatory factor analysis are performed to test the internal structure of the scale. It was found that the 4-factor model and a second-order factor presented a better fit (CFI = .99, TLI = .99, SRMR = .075, and RMSEA =.018). The results confirm the four dimensions proposed.



Ato, M., López, J., & Benavente, A. (2013). Un sistema de clasificación de los diseños de investigación en psicología. Anales de Psicología, 29 (3), 1038–1059. https://doi.org/10.6018/analesps.29.3.178511

Beauducel, A., & Herzberg, P. Y. (2006). On the performance of maximum likelihood versus means and variance adjusted weighted least squares estimation in CFA. Structural Equation Modeling, 13 (2), 186–203. https://doi.org/10.1207/s15328007sem1302_2

Bondestam, F., & Lundqvist, M. (2020). Sexual harassment in higher educationa systematic review. European Journal of Higher Education, 10 (4), 397–419. https: / / doi. org / 10. 1080 / 21568235. 2020.1729833

Bosch, E., Ferrer, V., Navarro, C., Ferreiro, V., Ramis, M., Escarrer, C., & Blahopoulo, I. (2012). El acoso sexual en el ámbito universitario: Elementos para mejorar la implementación de medidas de prevención, detección e intervención. Ministerio de Sanidad Servicios Sociales e Igualdad

Brown, T. A. (2015). Confirmatory factor analysis for applied research (Vol. 2nd). Guilford Publications

Bursik, K., & Gefter, J. (2011). Still stable after all these years: Perceptions of sexual harassment in academic contexts. The Journal of Social Psychology, 151 (3), 331–349. https://doi.org/10.1080/00224541003628081

Byrne, B. (2008). Testing for multigroup equivalence of a measuring instrument: A walk through the
process. Psicothema, 20 (4), 872–882

Caycho-Rodríguez, T., Valencia, P. D., Vilca, L. W.,Cervigni, M., Gallegos, M., Martino, P., & Burgos Videla, C. (2021). Cross-cultural measurement invariance of the fear of COVID-19 scale in seven Latin American countries. Death Studies, 1–15. https://doi.org/10.1080/07481187.2021.1879318

Costello, A. B., & Osborne, J. W. (2005). Best practices in exploratory factor analysis: Four recommendations for getting the most from your analysis. Practical assessment, research, and evaluation,10 (7), 1–9. https://doi.org/10.7275/jyj1-4868

Domínguez-Lara, S. (2018). Propuesta de puntos de corte para cargas factoriales: Una perspectiva de fiabilidad de constructo. Enfermería Clínica, 28 (6), 401–402. https://doi.org/10.1016/j.enfcli.2018.06.002

Domínguez-Lara, S., Gravini-Donado, M., Moreta-Herrera, R., Quistgaard-Alvarez, A., Barboza-Zelada, L. A., & Taboada, L. (2022). Propiedades psicométricas del Student Adaptation to College Questionnaire-Educación Remota en estudiantes
universitarios de primer año durantela pandemia. Campus Virtuales, 11 (1), 81–93. https://doi.org/10.54988/cv.2022.1.965

Fabrigar, L. R., & Wegener, D. T. (2011). Exploratory factor analysis. Oxford University Press.

Fedina, L., Holmes, J. L., & Backes, B. L. (2018). Campus sexual assault: A systematic review of prevalence research from 2000 to 2015. Trauma, violence, & abuse, 19 (1), 76–93. https://doi.org/10.1177/1524838016631129

Ferrando, P. J., & Anguiano-Carrasco, C. (2010). El análisis factorial como técnica de investigación en psicología. Papeles del Psicólogo, 31 (1), 18–33.

Ferrer-Pérez, V. A., & Bosch-Fiol, E. (2014). The perception of sexual harassment at university. Revista de Psicología Social, 29 (3), 462–501. https://doi.org/10.1080/02134748.2014.972709

Fitzgerald, L. F., Gelfand, M. J., & Drasgow, F. (1995). Measuring sexual harassment: Theoretical and psychometric advances. Basic and Applied Social Psychology, 17 (4), 425–442. https://doi.org/10.1207/s15324834basp1704_2

Freiberg Hoffmann, A., Stover, J. B., Iglesia, G., & Fernández Liporace, M. (2013). Correlaciones policóricas y tetracóricas en estudios factoriales exploratorios y confirmatorios. polychoric and tetrachoric correlations in exploratory and confirmatory factorial studies. Ciencias psicológicas, 7 (2),151–164. http://www.scielo.edu.uy/scielo.php?%20pid=S1688-42212013000200005&script=sci_arttext&tlng=en

Frías-Navarro, D., & Pascual Soler, M. (2012). Exploratory factor Analysis (EFA) in consumer behavior and marketing research. Suma Psicológica,19 (1), 47–58. https://doi.org/http://www.scielo.org.co/scielo.php?script=sci_ arttext&

García Cadena, C. H. (2006). La medición en ciencias sociales y en la psicología. In R. Landeros Hernández & M. T. González Ramírez (Eds.), Estadística con spss y metodología de la investigación (pp. 139–166). Trillas

Green, S. B., & Yang, Y. (2015). Evaluation of dimensionality in the assessment of internal consistency reliability: Coefficient alpha and omega coefficients. Educational Measurement: Issues and Practice, 34 (4), 14–20. https://doi.org/10.1111/emip.12100

Guarderas, P., & Cuvi, J. (2020). ¿Cómo se mide el acoso sexual? Aportes para determinar la prevalencia del acoso sexual en las instituciones de educación superior. Abya Yala

Guarderas, P., Larrea, M. d. L., Cuvi, J., Vega, C., Reyes, C., Bichara, T., Ramírez, G., Paula, C., Pesántez, L., & Íñiguez, A. L. (2018). Acoso sexual en las universidades ecuatorianas: Validez de contenido de un instrumento de medición. Alteridad. Revista de Educación, 13 (2), 214–226.https://doi.org/10.17163/alt.v13n2.2018.05

Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (1999). Análisis multivariante (Vol. 491).

Prentice Hall Henning, M. A., Zhou, C., Adams, P., Moir, F., Hobson, J., Hallett, C., & Webster, C. S. (2017). Workplace harassment among staff in higher education: A systematic review. Asia Pacific Education Review, 18 (4), 521–539. https://doi.org/ 10.1007/s12564-017-9499-0

Hirigoyen, M. F. (2000). Acoso moral. Paidós

Jonason, P., Zemojtel-Piotrowska, M., Piotrowski, J., Sedikides, C., Campbell, K., Gebauer, J., & Yahiiaev, I. (2020). CountryLevel Correlates of the Dark Triad Traits in 49 Countries. Journal of personality, 88 (6), 1252–1267. https://doi.org/10.1111/jopy.12569

Jöreskog, K. G., Sörbom, D., Toit, S., & Toit, M. (2001). LISREL 8: New Statistical. Features. Scientific

Software International Karami, A., Spinel, M. Y., White, C. N., Ford, K., & Swan, S. (2021). A Systematic Literature Review of Sexual Harassment Studies with Text Mining. Sustainability, 13 (12), 6589. https: / /doi.org/10.3390/su13126589

Lance, C. E., Teachout, M. S., & Donnelly, T. M. (1992). Specification of the criterion construct space: An application of hierarchical confirmatory factor analysis. Journal of applied psychology, 77 (4), 437. https://doi.org/10.1037/0021- 9010.77.4.

Larrea, M., Guarderas, P., Cuvi, J., Paula, C., Almeida, M., Palacios, P., Acosta, D., Gutiérrez, M. J., & Yépez, J. (2020). £Cómo se mide el acoso sexual?: Aportes para determinar la prevalencia del acoso sexual en las instituciones de educación superior. Abya-Yala.

Li, C. H. (2016). Confirmatory factor analysis with ordinal data: Comparing robust maximum likelihood and diagonally weighted least squares. Behavior research methods, 48 (3), 936–949. https://doi.org/10.3758/s1342

Mardia, K. (1970). Measures of Multivariate Skewness and Kurtosis with Applications Measures of Multivariate Skewness and Kurtosis with Applications. Biometrika, 57, 519. https://doi.org/10.2307/2334770

McDonald, R. P. (1999). Test theory: A unified treatment. Lawrence Erlbaum Associates, Inc.

Moreta-Herrera, R., Dominguez-Lara, S., Vaca-Quintana, D., Zambrano-Estrella, J., Gavilanes-Gómez, D., Ruperti-Lucero, E., & Bonilla, D. (2021). Psychometric properties of the General Health Questionnaire (GHQ-28) in Ecuadorian college students. Psihologijske teme, 30 (3), 573–590. https://doi.org/10.31820/pt.30.3.9

Moreta-Herrera, R., Rodas, J., Lara-Salazar, M. (2021).Factor validity of alcohol use disorders identification test (audit) using robust estimations in ecuadorian adolescents. Alcohol & Alcoholism, 56 (4), 482–489. https://doi.org/10.1093/alcalc/agaa126

Navarro-Guzmán, C., Ferrer-Pérez, V. A., & Bosch-Fiol, E. (2016). El acoso sexual en el ámbito universitario: Análisis de una escala de medida. Universitas Psychologica, 15 (2), 371–382. https://doi.org/10.11144/Javeriana.upsy.15-2.asau

Nicolson, P., Ussher, J., & Compling, J. (1992). The psychology of women’s health and health care.

MacMillan Press. O’Leary-Kelly, A. M., Bowes-Sperry, L., Bates, C., & Lean, E. R. (2009). Sexual harassment at work:
A decade (plus) of progress. Journal of Management, 35 (3), 503–536. https://doi.org/10.1177/0149206308330555

Oyanedel, J. C., Vargas, S., Mella, C., & Páez, D. (2017). Los autores aludidos ofrecieron la siguiente réplica: Cálculo de confiabilidad a través del uso Del coeficiente Omega de McDonald. Revista médica de Chile, 145 (2), 272–273. https://doi.org/10.4067/S0034-98872017000200019

Padilla, M. A., & Divers, J. (2013). Coefficient omega bootstrap confidence intervals: Nonnormal distributions. Educational and Psychological Measurement, 73 (6), 956–972. https://doi.org/10.1177/0013164413492765

Pérez Guardo, R. (2012). Las limitaciones en la cuantificación del acoso sexual laboral en españa. Athenea Digital. Revista de pensamiento e investigación social, 12 (2), 199–219. https://doi.org/

Pérez Guardo, R., & Rodríguez, C. (2013). Un análisis del concepto de acoso sexual laboral: Reflexiones y orientaciones para la investigación y la intervención social. Cuadernos de relaciones laborales, 31 (1), 195–219. https://doi.org/10.5209/rev_CRLA.2013.v31.n1.41647

Preciado, M., & Franco, S. (2013). Hostigamiento sexual laboral en trabajadores de vigilancia de una empresa electrónica. e-Gnosis, 11, 1–17. https://doi.org/http://www.redalyc.org/articulo.oa?id=73029399002

Ranganathan, M., Wamoyi, J., Pearson, I., & Stoeckl, H. (2021). Measurement and prevalence of sexual harassment in low-and middle-income countries: A systematic review and meta-analysis. BMJ Open, 11 (6), 047473. https://doi.org/10.1136/bmjopen-2020-047473

R.Core Team. (2019). R: A language and environment for statistical computing, R Foundation for Statistical Computing. R Foundation for Statistical Computing

Rotundo, M., Nguyen, D. H., & Sackett, P. R. (2001). A meta-analytic review of gender differences in perceptions of sexual harassment. Journal of Applied Psychology, 86 (5), 914–922. https : / /doi.org/10.1037/0021-9010.86.5.914

SENESCYT. (2017). Protocolo de prevención y actuación en casos de acoso, discriminación y violencia basada en género y orientación sexual en las instituciones de educación superior

Ventura-León, J., & Caycho-Rodríguez, T. (2017). El coeficiente omega: Un método alternativo para la estimación de la confiabilidad. Revista Latinoamericana de Ciencias Sociales, Niñez y Juventud, 15 (1), 625–627.

Viladrich, C., Angulo-Brunet, A., & Doval, E. (2017). A journey around alpha and omega to estimate internal consistency reliability. Annals of Psychology, 33 (3), 755–782. https://doi.org/10.6018/analesps.33.3.268401

Voth Schrag, R. J. (2017). Campus based sexual assault and dating violence: A review of study contexts and participants. Affilia, 32 (1), 67–80. https://doi.org/10.1177/0886109916644644

Yang-Wallentin, F., Jöreskog, K. G., & Luo, H. (2010). Confirmatory factor analysis of ordinal variables with misspecified models. Structural Equation Modeling, 17 (3), 392–423. https://doi.org/10.1080/10705511.2010.489003


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