| Literature DB >> 29693033 |
Maryam Mirzaee Jirdehi1, Fariba Asgari2,3, Rasool Tabari1, Ehsan Kazemnejad Leyli1.
Abstract
BACKGROUND: Achievement of productivity and improvement of quality in the educational system is the effective, influential factors for countries development. Academic achievement is the main objective of the training program and the most important concerns of teachers, education officials, and university Student's families. Self-esteem is one of the factors affecting student academic achievement. This study is aimed to investigate the relationship between self-esteem and academic achievement in Medical Sciences students of in 2014-2015. SUBJECTS AND METHODS: This is a descriptive-correlational study. In this study, 537 university students were selected using random stratified sampling method from Guilan University of Medical Sciences in 2014-2015. Data were collected using the standard self-esteem questionnaire of Cooper Smith consisting of four elements (general, social, familial, and educational) and a demographic questionnaire. Data were analyzed using SPSS software version 21 and descriptive statistics such as Spearman correlation and Logistic Regression.Entities:
Keywords: Academic achievement; self – esteem; student
Year: 2018 PMID: 29693033 PMCID: PMC5903166 DOI: 10.4103/jehp.jehp_136_17
Source DB: PubMed Journal: J Educ Health Promot ISSN: 2277-9531
Dispersion indicators (average and standard deviation) and student’ academic status, based on the grade point average and the composite index of academic status
Correlational coefficient of self-esteem score and its different dimensions with grade point average and composite index of academic status
Estimation of regression coefficients different dimensions for self-esteem predicting academic achievement (grade point average), based on logistic regression model in nonmatched model
Estimation of regression coefficients different dimensions of self-esteem predicting academic achievement (composite index of academic status), based on logistic regression model in nonmatched model