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A Linear Empirical Model of Self-Regulation on Flourishing, Health, Procrastination, and Achievement, Among University Students

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TLDR
It was established that self-regulation has a significant positive association on flourishing and overall health, and a negative effect on procrastination, and that age and gender have a prediction effect on the analyzed variables.
Abstract
This research aimed to analyze the linear bivariate correlation and structural relations between self-regulation -as a central construct-, with flow, health, procrastination and academic performance, in an academic context. A total of 363 college students took part, 101 men (27.8%) and 262 women (72.2%). Participants had an average age of 22 years and were between the first and fifth year of studies. They were from five different programs and two universities in Bogota city (Colombia). A validated ad hoc questionnaire of physical and psychological health was applied along with a battery of tests to measure self-regulation, procrastination, and flourishing. To establish an association relationship, Pearson bivariate correlations were performed using SPSS software (v. 22.0), and structural relationship predictive analysis was performed using an SEM on AMOS software (v. 22.0). Regarding this linear association, it was established that (1) self-regulation has a significant positive association on flourishing and overall health, and a negative effect on procrastination. Regarding the structural relation, it confirmed that (2) self-regulation is a direct and positive predictor of flourishing and health; (3) self-regulation predicts procrastination directly and negatively, and academic performance indirectly and positively; and (4) age and gender have a prediction effect on the analyzed variables. Implications, limitations and future research scope are discussed.

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TL;DR: The most important finding was that the combined level of self-regulation and external regulation, on a five-level scale or heuristic, predicted the type of coping strategies that were used.
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TL;DR: The results of Structural Equation Model showed an acceptable model of relationships, in each emotional context, that showed the neuroticism factor had a significant negative associative relationship with Self-Regulation both globally and in its factors.
References
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Book

Lisrel 8: Structural Equation Modeling With the Simplis Command Language

TL;DR: The SIMPLIS language shifts the focus away from the technical question "How to do it", so that researchers can concentrate on the question, "What does it all mean?"
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Reliability and Predictive Validity of the Motivated Strategies for Learning Questionnaire (Mslq)

TL;DR: In this article, a self-report, Likert-scaled instrument that was designed to assess motivation and use of learning strategies by college students was presented, which can be distinguished as cognitive, metacognitive, and resource management strategies.
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Do Psychosocial and Study Skill Factors Predict College Outcomes? A Meta-Analysis.

TL;DR: Meta-analyses confirmed the incremental contributions of the PSF over and above those of socioeconomic status, standardized achievement, and high school GPA in predicting college outcomes.
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The nature of procrastination: A meta-analytic and theoretical review of quintessential self-regulatory failure.

TL;DR: Strong and consistent predictors of procrastination were task aversiveness, task delay, self-efficacy, and impulsiveness, as well as conscientiousness and its facets of self-control, distractibility, organization, and achievement motivation.
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Promoting and protecting mental health as flourishing: A complementary strategy for improving national mental health.

TL;DR: The conception and diagnosis of the mental health continuum, the findings supporting the two continua model of mental health and illness, and the benefits of flourishing to individuals and society are summarized.
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