IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i18p11239-d909571.html
   My bibliography  Save this article

Learning Self-Regulation Questionnaire (SRQ-L): Psychometric and Measurement Invariance Evidence in Peruvian Undergraduate Students

Author

Listed:
  • César Merino-Soto

    (Facultad de Ciencias de la Salud, Escuela Profesional de Medicina, Universidad César Vallejo, Av. Larco 1770, Trujillo 13009, Peru)

  • Gina Chávez-Ventura

    (Instituto de Investigación en Ciencia y Tecnología, Universidad César Vallejo, Av. Larco 1770, Urb. Las Flores, Distrito Víctor Larco Herrera, Trujillo 13009, Peru)

  • Verónica López-Fernández

    (Department of Education, Universidad Internacional de La Rioja (UNIR), Avenida de la Paz 101, 26006 Logroño, Spain)

  • Guillermo M. Chans

    (Tecnologico de Monterrey, School of Engineering and Sciences, Mexico City 01389, Mexico)

  • Filiberto Toledano-Toledano

    (Unidad de Investigación en Medicina Basada en Evidencias, Hospital Infantil de México Federico Gómez, National Institute of Health, Márquez 162, Doctores, Cuauhtémoc, Mexico City 06720, Mexico
    Unidad de Investigación Sociomédica, Instituto Nacional de Rehabilitación Luis Guillermo Ibarra Ibarra, Calzada México-Xochimilco 289, Arenal de Guadalupe, Tlalpan, Mexico City 14389, Mexico
    Dirección de Investigación y Diseminación del Conocimiento, Instituto Nacional de Ciencias e Innovación para la Formación de Comunidad Científica, INDEHUS, Periférico Sur 4860, Arenal de Guadalupe, Tlalpan, Mexico City 14389, Mexico)

Abstract

Given the theoretical and applied importance of self-regulation in learning, our study aimed to report the internal structure of the psychometric properties of the Learning Self-Regulation Questionnaire. Five hundred and ninety-six Peruvian university students participated in their first to tenth semesters on campuses in Lima, Trujillo, and Cajamarca. Nonparametric scalability, dimensionality, reliability (score and item levels), and latent invariance were analyzed. The results showed that reducing the number of response options was necessary. Reducing the number of items also produced better scaling. Two slightly related dimensions were strong internal validity and acceptable item reliability; furthermore, reliability was adequate. Age and gender had trivial correlations in item variability. Finally, differences between the semesters were obtained in the means, variances, and latent correlations. In conclusion, we propose a better definition of the constructs of autonomy and control measured by the SRQ-L. This article also discusses the limitations and implications of the study.

Suggested Citation

  • César Merino-Soto & Gina Chávez-Ventura & Verónica López-Fernández & Guillermo M. Chans & Filiberto Toledano-Toledano, 2022. "Learning Self-Regulation Questionnaire (SRQ-L): Psychometric and Measurement Invariance Evidence in Peruvian Undergraduate Students," Sustainability, MDPI, vol. 14(18), pages 1-17, September.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:18:p:11239-:d:909571
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/18/11239/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/18/11239/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Samuel Green & Yanyun Yang, 2009. "Reliability of Summed Item Scores Using Structural Equation Modeling: An Alternative to Coefficient Alpha," Psychometrika, Springer;The Psychometric Society, vol. 74(1), pages 155-167, March.
    2. Geoff Masters, 1982. "A rasch model for partial credit scoring," Psychometrika, Springer;The Psychometric Society, vol. 47(2), pages 149-174, June.
    3. Mair, Patrick & Hatzinger, Reinhold, 2007. "Extended Rasch Modeling: The eRm Package for the Application of IRT Models in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 20(i09).
    4. César Merino-Soto & Arturo Juárez-García & Guillermo Salinas-Escudero & Filiberto Toledano-Toledano, 2022. "Item-Level Psychometric Analysis of the Psychosocial Processes at Work Scale (PROPSIT) in Workers," IJERPH, MDPI, vol. 19(13), pages 1-18, June.
    5. van Schuur, Wijbrandt H., 2003. "Mokken Scale Analysis: Between the Guttman Scale and Parametric Item Response Theory," Political Analysis, Cambridge University Press, vol. 11(2), pages 139-163, April.
    6. Roderick McDonald, 1989. "An index of goodness-of-fit based on noncentrality," Journal of Classification, Springer;The Classification Society, vol. 6(1), pages 97-103, December.
    7. Rosseel, Yves, 2012. "lavaan: An R Package for Structural Equation Modeling," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i02).
    8. Hao Wu & Ryne Estabrook, 2016. "Identification of Confirmatory Factor Analysis Models of Different Levels of Invariance for Ordered Categorical Outcomes," Psychometrika, Springer;The Psychometric Society, vol. 81(4), pages 1014-1045, December.
    9. van der Ark, L. Andries, 2012. "New Developments in Mokken Scale Analysis in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i05).
    10. Albert Satorra & Peter Bentler, 2010. "Ensuring Positiveness of the Scaled Difference Chi-square Test Statistic," Psychometrika, Springer;The Psychometric Society, vol. 75(2), pages 243-248, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. César Merino-Soto & Manuel Fernández-Arata & Jaime Fuentes-Balderrama & Guillermo M. Chans & Filiberto Toledano-Toledano, 2022. "Research Perceived Competency Scale: A New Psychometric Adaptation for University Students’ Research Learning," Sustainability, MDPI, vol. 14(19), pages 1-17, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Attanasio, Orazio & Blundell, Richard & Conti, Gabriella & Mason, Giacomo, 2020. "Inequality in socio-emotional skills: A cross-cohort comparison," Journal of Public Economics, Elsevier, vol. 191(C).
    2. Hanne Søberg Finbråten & Peter Nowak & Robert Griebler & Éva Bíró & Mitja Vrdelja & Rana Charafeddine & Lennert Griese & Henrik Bøggild & Doris Schaeffer & Thomas Link & Zdenek Kucera & Julien Mancini, 2022. "The HLS 19 -COM-P, a New Instrument for Measuring Communicative Health Literacy in Interaction with Physicians: Development and Validation in Nine European Countries," IJERPH, MDPI, vol. 19(18), pages 1-23, September.
    3. César Merino-Soto & Manuel Fernández-Arata & Jaime Fuentes-Balderrama & Guillermo M. Chans & Filiberto Toledano-Toledano, 2022. "Research Perceived Competency Scale: A New Psychometric Adaptation for University Students’ Research Learning," Sustainability, MDPI, vol. 14(19), pages 1-17, September.
    4. Dandara Gabriela Haag & Pedro Henrique Ribeiro Santiago & Davi Manzini Macedo & João Luiz Bastos & Yin Paradies & Lisa Jamieson, 2020. "Development and initial psychometric assessment of the race-related attitudes and multiculturalism scale in Australia," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-19, April.
    5. Miguel Ángel López-Sáez & Ariadna Angulo-Brunet & R. Lucas Platero & Oscar Lecuona, 2022. "The Adaptation and Validation of the Trans Attitudes and Beliefs Scale to the Spanish Context," IJERPH, MDPI, vol. 19(7), pages 1-18, April.
    6. Pietschnig, Jakob & Deimann, Pia & Hirschmann, Nicole & Kastner-Koller, Ursula, 2021. "The Flynn effect in Germanophone preschoolers (1996–2018): Small effects, erratic directions, and questionable interpretations," Intelligence, Elsevier, vol. 86(C).
    7. Ziqin Liang & Elisa Delvecchio & Adriana Lis & Claudia Mazzeschi, 2023. "Italian Validation of the Delaying Gratification Inventory in Adolescents," IJERPH, MDPI, vol. 20(15), pages 1-12, August.
    8. Carlos Miguel Lemos & Ross Joseph Gore & Ivan Puga-Gonzalez & F LeRon Shults, 2019. "Dimensionality and factorial invariance of religiosity among Christians and the religiously unaffiliated: A cross-cultural analysis based on the International Social Survey Programme," PLOS ONE, Public Library of Science, vol. 14(5), pages 1-36, May.
    9. Jesper Tijmstra & Maria Bolsinova, 2019. "Bayes Factors for Evaluating Latent Monotonicity in Polytomous Item Response Theory Models," Psychometrika, Springer;The Psychometric Society, vol. 84(3), pages 846-869, September.
    10. Gregor Sočan & Gaja Zager Kocjan, 2022. "Person-level assessment of measurement invariance," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(5), pages 3481-3503, October.
    11. Veljko Jovanović & Maksim Rudnev & Naved Iqbal & Sean P. M. Rice & Magdalena Żemojtel-Piotrowska, 2022. "Cross-Cultural Measurement of Positive and Negative Emotions in Adolescence: Evidence from Three Countries," Journal of Happiness Studies, Springer, vol. 23(7), pages 3143-3160, October.
    12. Simon Foster & Meichun Mohler-Kuo, 2020. "The proportion of non-depressed subjects in a study sample strongly affects the results of psychometric analyses of depression symptoms," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-13, July.
    13. repec:jss:jstsof:36:c01 is not listed on IDEAS
    14. Gerhard Tutz & Gunther Schauberger, 2015. "A Penalty Approach to Differential Item Functioning in Rasch Models," Psychometrika, Springer;The Psychometric Society, vol. 80(1), pages 21-43, March.
    15. Dima, Alexandra L. & Stutterheim, Sarah E. & Lyimo, Ramsey & de Bruin, Marijn, 2014. "Advancing methodology in the study of HIV status disclosure: The importance of considering disclosure target and intent," Social Science & Medicine, Elsevier, vol. 108(C), pages 166-174.
    16. repec:jss:jstsof:35:i12 is not listed on IDEAS
    17. Lindsey W. Vilca & Evelyn L. Chambi-Mamani & Emely D. Quispe-Kana & Mónica Hernández-López & Tomás Caycho-Rodríguez, 2022. "Functioning of the EROS-R Scale in a Clinical Sample of Psychiatric Patients: New Psychometric Evidence from the Classical Test Theory and the Item Response Theory," IJERPH, MDPI, vol. 19(16), pages 1-14, August.
    18. Osval Antonio Montesinos-Lopez & Emeterio Franco-Perez & Kismiantini - & Marco Alberto Valenzo Jimenez & Ignacio Luna Espinoza & Laura Sanely Gaytan Lugo & Sara Sandoval Carrillo, 2021. "Construction and Validation of an Instrument to Measure Perceptions and Attitudes towards Genetically Modified Organisms in the Mexican Urban Population," International Journal of Business and Management, Canadian Center of Science and Education, vol. 15(5), pages 1-83, July.
    19. Coromina, Lluís & Camprubí, Raquel, 2016. "Analysis of tourism information sources using a Mokken Scale perspective," Tourism Management, Elsevier, vol. 56(C), pages 75-84.
    20. Rudy Ligtvoet & L. Ark & Wicher Bergsma & Klaas Sijtsma, 2011. "Polytomous Latent Scales for the Investigation of the Ordering of Items," Psychometrika, Springer;The Psychometric Society, vol. 76(2), pages 200-216, April.
    21. Carla Sabariego & Cornelia Oberhauser & Aleksandra Posarac & Jerome Bickenbach & Nenad Kostanjsek & Somnath Chatterji & Alana Officer & Michaela Coenen & Lay Chhan & Alarcos Cieza, 2015. "Measuring Disability: Comparing the Impact of Two Data Collection Approaches on Disability Rates," IJERPH, MDPI, vol. 12(9), pages 1-23, August.
    22. Laura Maldonado-Murciano & Halley M. Pontes & Mark D. Griffiths & Maite Barrios & Juana Gómez-Benito & Georgina Guilera, 2020. "The Spanish Version of the Internet Gaming Disorder Scale-Short Form (IGDS9-SF): Further Examination Using Item Response Theory," IJERPH, MDPI, vol. 17(19), pages 1-14, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:18:p:11239-:d:909571. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.