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Multivariate Predictive-discriminatory Model of Academic Performance in Medical Students. A Mixed Longitudinal Study.

NCT04105049 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 230

Last updated 2022-11-03

No results posted yet for this study

Summary

Reported studies on individual differences related to academic performance based on personality aspects describe self-efficiency, motivation and self-control as the main indicators of academic performance. Students who are motivated tend to have a better academic performance (AP) than peers with less motivation. On the other hand, differences in the environment related to academic performance have been linked to social aspects, among which are: family environment, family socioeconomic status and academic socialization. A constant factor in aspects of the environment that seems to permeate and impose itself on others is the socioeconomic one. About the personal factors of medical students, it has been found that university students who report stress caused by socioeconomic factors are more likely to have some psychological morbidity. There are certain ways to deal with stress that are related to better performance. Due to the complexity of the study of AP, it is necessary to develop holistic models that allow a better approach to reality. The educational research work related to academic disillusionment has been aimed at determining the factors involved in it. However, the methodological approach that has been used to document these works focuses on reductionism, where each variable that is studied and correlated independently with the AP. Although, this approach has provided valuable information, it is necessary to postulate holistic models that allow a better approach to reality. Although, there are published works on the correlation of the factors that can influence the academic performance of medical students of the Faculty of Medicine of the UNAM, no multivariate predictive models have been developed that include the main psychosocial factors and the resilience of students and how they impact academic performance; and also, study their behavior throughout a school year of the career, using stochastic models that allow characterizing a succession of random variables that evolve as a function of time. Therefore, the present work has as main purpose to establish a predictive model that allows predictions of expected academic performance and timely detection of students in situations of academic risk; and in turn tutorials, educational guidance, psychological support and / or specialized advice.

Conditions

  • Students at Risk of Obtaining Low Academic Performance

Interventions

OTHER

Observation of psychological aspects

Motivational, socioeconomic, family, stress, and other aspects are tested.

Sponsors & Collaborators

  • Raúl Sampieri Cabrera

    lead OTHER

Principal Investigators

  • Virginia Inclán-Rubio, PhD · Facultad de Medicina, UNAM

Eligibility

Min Age
17 Years
Max Age
25 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2019-08-26
Primary Completion
2019-12-15
Completion
2022-10-31

Countries

  • Mexico

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04105049 on ClinicalTrials.gov