Garzón-Umerenkova Angélica, de la Fuente Jesús, Amate Jorge, Paoloni Paola V, Fadda Salvatore, Pérez Javier Fiz
School of Psychology, Fundación Universitaria Konrad Lorenz, Bogotá, Colombia.
Department of Psychology, University of Almería, Almería, Spain.
Front Psychol. 2018 Apr 13;9:536. doi: 10.3389/fpsyg.2018.00536. eCollection 2018.
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 Bogotá city (Colombia). A validated 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.
本研究旨在分析在学术背景下，作为核心概念的自我调节与心流、健康、拖延和学业成绩之间的线性双变量相关性及结构关系。共有363名大学生参与，其中101名男性（27.8%），262名女性（72.2%）。参与者平均年龄为22岁，处于大学一至五年级。他们来自哥伦比亚波哥大市两所大学的五个不同专业。研究使用了一份经过验证的身心健康问卷，并通过一系列测试来衡量自我调节、拖延和蓬勃发展程度。为建立关联关系，使用SPSS软件（版本22.0）进行Pearson双变量相关性分析，并使用AMOS软件（版本22.0）上的结构方程模型进行结构关系预测分析。关于这种线性关联，研究确定：（1）自我调节与蓬勃发展和总体健康呈显著正相关，与拖延呈负相关。关于结构关系，研究证实：（2）自我调节是蓬勃发展和健康的直接正向预测因素；（3）自我调节直接且负向地预测拖延，间接且正向地预测学业成绩；（4）年龄和性别对所分析的变量具有预测作用。文中还讨论了研究的意义、局限性和未来研究范围。
