Predictors of Romanian Psychology Students' Intention to Successfully Complete Their Courses-A Process-Based Psychology Theory Approach.
Ioana-Eva CădariuDana RadPublished in: Behavioral sciences (Basel, Switzerland) (2023)
Student retention is a frequently researched issue due to the incidence of student dropout and its significance to learning outcomes. However, there are research gaps that need to be addressed in understanding the factors influencing student dropout in the context of higher education in Romania. This cross-sectional investigation aims to fill these gaps by examining the relationships between satisfaction with the specialization, self-regulation of learning behavior, students' perceived stress, perceived acceptance from family and friends, and the intention to complete studies. The study utilizes various statistical analysis techniques, including mediation analysis and correlation analysis, to analyze the collected data. An online questionnaire was administered to non-randomized students majoring in Psychology, and a total of 144 valid and consented responses were obtained. The results reveal significant influences of satisfaction with the specialization, self-regulated learning, and students' perceived stress on the intention to successfully complete courses. Furthermore, academic self-efficacy was found to fully mediate the relationship between satisfaction with the specialization and academic adjustment. These findings contribute to a better understanding of the student dropout process in the Romanian higher education system. By identifying the factors associated with student retention, this study provides insights that can inform the development of interventions aimed at improving students' retention and overall learning outcomes.
Keyphrases
- high school
- social support
- cross sectional
- physical activity
- medical students
- depressive symptoms
- mental health
- healthcare
- medical education
- double blind
- transcription factor
- clinical trial
- open label
- machine learning
- adipose tissue
- gene expression
- stress induced
- genome wide
- type diabetes
- single cell
- insulin resistance
- artificial intelligence
- data analysis
- weight loss
- psychometric properties