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      Autoeficacia, procrastinación y rendimiento académico en estudiantes universitarios de Ecuador Translated title: Self-efficacy, procrastination and academic performance in university students in Ecuador

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          Abstract

          Resumen El estudio de los factores no cognitivos que influyen en el éxito académico se ha posicionado como un tópico de creciente interés para la investigación educativa. En este marco, este estudio se propone el objetivo de examinar la relación entre el rendimiento académico universitario y dos factores no cognitivos específicos: la autoeficacia y la procrastinación académica. De igual manera, se explora el rol mediador que la procrastinación académica desempeña en la relación entre la autoeficacia y el rendimiento académico. El estudio cuantitativo se realizó en el contexto ecuatoriano y se basó en una muestra conformada por 788 estudiantes matriculados en universidades públicas y privadas del Distrito Metropolitano de Quito. La estrategia analítica consistió en la formulación de modelos de ruta, fundamentados en la metodología de ecuaciones estructurales. Los principales resultados del análisis empírico son los siguientes: a) tanto la autoeficacia como la procrastinación académica afectan directamente el desempeño académico de los estudiantes universitarios; b) la autoeficacia se relaciona indirectamente en el rendimiento académico a través de la procrastinación académica; c) estos factores no cognitivos son más determinantes para el desempeño estudiantil en la etapa inicial de carrera, especialmente en el caso de universidades privadas. Finalmente se discuten las implicaciones de los hallazgos efectuados, considerando el desarrollo potencial de estrategias de promoción del éxito académico mediante intervenciones que favorezcan el sentido de autoeficacia y la autorregulación del estudiantado.

          Translated abstract

          Abstract The study of non-cognitive factors that influence academic success has become a topic of growing interest in educational research. In this framework, the present study aims to examine the relationship between university academic performance and two specific non-cognitive factors: self-efficacy and academic procrastination. Similarly, the mediating role that academic procrastination plays in the relationship between self-efficacy and academic performance is explored. The quantitative study was conducted in the Ecuadorian context and was based on a sample of 788 students enrolled in public and private universities in the Metropolitan District of Quito. The analytical strategy consisted on the formulation of path models, based on the methodology of structural equations. The main results of empirical analysis are: a) both self-efficacy and academic procrastination directly affect the academic performance of university students; b) self-efficacy is indirectly related to academic performance through academic procrastination; c) these non-cognitive factors are more determinant for student performance in the early career stage, especially in the case of private universities. Finally, the implications of the findings are discussed, considering the potential development of strategies to promote academic success through interventions that favor the students' sense of self-efficacy and self-regulation.

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          Self-Efficacy : The Exercise of Control

          1 Theoretical Perspectives The Nature of Human Agency Human Agency in Triadic Reciprocal Causation Determinism and the Exercise of Self-Influence Related Views of Personal Efficacy 2 The Nature and Structure of Self-Efficacy Perceived Self-Efficacy as a Generative Capability Active Producers versus Passive Foretellers of Performances The Self-Efficacy Approach to Personal Causation Multidimensionality of Self-Efficacy Belief Systems Self-Efficacy Causality Sources of Discordance Between Efficacy Judgment and Action 3 Sources of Self-Efficacy Enactive Mastery Experience Vicarious Experience Verbal Persuasion Physiological and Affective States Integration of Efficacy Information 4 Mediating Processes Cognitive Processes Motivational Processes Affective Processes Selection Processes 5 Developmental Analysis of Self-Efficacy Origins of a Sense of Personal Agency Familial Sources of Self-Efficacy Peers and the Broadening and Validation of Self-Efficacy School as an Agency for Cultivating Self-Efficacy Growth of Self-Efficacy through Transitional Experiences of Adolescence Self-Efficacy Concerns of Adulthood Reappraisals of Self-Efficacy with Advancing Age 6 Cognitive Functioning Students' Cognitive Self-Efficacy Teachers' Perceived Efficacy Collective School Efficacy 7 Health Functioning Biological Effects of Perceived Self-Efficacy Perceived Self-Efficacy in Health Promoting Behavior Prognostic Judgments and Perceived Self-Efficacy 8 Clinical Functioning Anxiety and Phobic Dysfunctions Depression Eating Disorders Alcohol and Drug Abuse 9 Athletic Functioning Development of Athletic Skills Self-Regulation of Athletic Performance Collective Team Efficacy Psychobiological Effects of Physical Exercise 10 Organizational Functioning Career Development and Pursuits Mastery of Occupational Roles Self-Efficacy in Organizational Decision Making Self-Efficacy in Enactment of Occupational Roles Collective Organizational Efficacy 11 Collective Efficacy Gauging Collective Efficacy Political Efficacy Enablement by Media Modes of Influence Enablement for Sociocultural Change Underminers of Collective Efficacy References Name and Subject Indexes.
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            Structural Equation Modeling with AMOS : Basic Concepts, Applications, and Programming

            <p>This bestselling text provides a practical guide to the basic concepts of structural equation modeling (SEM) and the AMOS program (Versions 17 & 18). The author reviews SEM applications based on actual data taken from her research. Noted for its non-mathematical language, this book is written for the novice SEM user. With each chapter, the author "walks" the reader through all steps involved in testing the SEM model including: </p><ul><p><li>an explanation of the issues addressed </li><p></p><p><li>an illustration of the hypothesized and posthoc models tested </li><p></p><p><li>AMOS input and output with accompanying interpretation and explanation</li><p></p><p><li>The function of the AMOS toolbar icons and their related pull-down menus</li><p></p><p><li>The data and published reference upon which the model was based.</li><p></p></ul><p></p><p>With over 50% new material, highlights of the new edition include:</p><ul><p><li>All new screen shots featuring Version 17 of the AMOS program </li><p></p><p><li>All data files now available at www.psypress.com/sem-with-amos </li><p></p><p><li>Application of a multitrait-mulitimethod model, latent growth curve model, and second-order model based on categorical data</li><p></p><p><li>All applications based on the most commonly used graphical interface</li><p></p><p><li>The automated multi-group approach to testing for equivalence</li><p></p></ul><p></p><p>The book opens with an introduction to the fundamental concepts of SEM and the basics of the AMOS program. The next 3 sections present applications that focus on single-group, multiple-group, and multitrait-mutimethod and latent growth curve models. The book concludes with a discussion about non-normal and missing (incomplete) data and two applications capable of addressing these issues. </p><p></p><p>Intended for researchers, practitioners, and students who use SEM and AMOS in their work, this book is an ideal resource for graduate level courses on SEM taught in departments of psychology, education, business, and other social and health sciences and/or as a supplement in courses on applied statistics, multivariate statistics, statistics II, intermediate or advanced statistics, and/or research design. Appropriate for those with limited or no previous exposure to SEM, a prerequisite of basic statistics through regression analysis is recommended. </p>
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              Do psychosocial and study skill factors predict college outcomes? A meta-analysis.

              This study examines the relationship between psychosocial and study skill factors (PSFs) and college outcomes by meta-analyzing 109 studies. On the basis of educational persistence and motivational theory models, the PSFs were categorized into 9 broad constructs: achievement motivation, academic goals, institutional commitment, perceived social support, social involvement, academic self-efficacy, general self-concept, academic-related skills, and contextual influences. Two college outcomes were targeted: performance (cumulative grade point average; GPA) and persistence (retention). Meta-analyses indicate moderate relationships between retention and academic goals, academic self-efficacy, and academic-related skills (ps =.340,.359, and.366, respectively). The best predictors for GPA were academic self-efficacy and achievement motivation (ps =.496 and.303, respectively). Supplementary regression 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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                Author and article information

                Journal
                alteridad
                ALTERIDAD. Revista de Educación
                Alteridad
                Universidad Politécnica Salesiana (Cuenca, Azuay, Ecuador )
                1390-325X
                1390-8642
                December 2022
                : 17
                : 2
                : 277-290
                Affiliations
                [1] Azuay orgnameUniversidad Politécnica Salesiana Ecuador mzumarraga@ 123456ups.edu.ec
                [2] Azuay orgnameUniversidad Politécnica Salesiana Ecuador gabycevallos1@ 123456hotmail.com
                Article
                S1390-86422022000200277 S1390-8642(22)01700200277
                10.17163/alt.v17n2.2022.08
                d7bd07e5-8098-4217-bab0-85d6f453679a

                This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

                History
                : 31 May 2022
                : 07 January 2022
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 49, Pages: 14
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                Ecuador,Rendimiento académico,procrastinación académica,autoeficacia,autorregulación académica,universidad,Academic performance,academic procrastination,self-efficacy,academic self-regulation,university

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