Latent Regression Analysis Considering Student, Teacher, and Parent Variables and Their Relationship with Academic Performance in Primary School Students in Chile
Academic performance in primary students is fundamental to future school success; however, simultaneous analysis of different key individual, family, and teaching factors must be considered to improve understanding and benefit the development of students’ potential. This article presents a latent re...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-06-01
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| Series: | Behavioral Sciences |
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| Online Access: | https://www.mdpi.com/2076-328X/13/6/516 |
| _version_ | 1797596076059918336 |
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| author | Sonia Salvo-Garrido José Zayas-Castro Karina Polanco-Levicán José Luis Gálvez-Nieto |
| author_facet | Sonia Salvo-Garrido José Zayas-Castro Karina Polanco-Levicán José Luis Gálvez-Nieto |
| author_sort | Sonia Salvo-Garrido |
| collection | DOAJ |
| description | Academic performance in primary students is fundamental to future school success; however, simultaneous analysis of different key individual, family, and teaching factors must be considered to improve understanding and benefit the development of students’ potential. This article presents a latent regression analysis model that examines the relationship between the latent variables (self-efficacy, interest in reading, bullying, parental expectations, and discrimination/exclusion, and teacher violence/aggression) and the academic performance of first-cycle primary students. The model investigates the impact of the latent variables on the standardized endogenous variables of SIMCE Mathematics and Language test scores using a quantitative, non-experimental, correlational, and cross-sectional design. The study involved 70,778 students (53.4% female), with an average age of 9.5 years (SD = 0.6), from Chilean public (33.6%) and subsidized (66.4%) schools. The results indicate that the model accounted for 49.8% and 47.7% of the mean variability in SIMCE Mathematics and Language test scores, respectively. The goodness-of-fit indices demonstrated satisfactory fits for both models. In both tests, student self-efficacy emerged as the most significant factor explaining test score variability, followed by parental expectations. Bullying was identified as a relevant factor in reducing mean performance on both tests. The findings suggest that education decision makers should address these issues to improve student outcomes. |
| first_indexed | 2024-03-11T02:45:26Z |
| format | Article |
| id | doaj.art-1892c10e352b4e02bad8e5f2a924ce57 |
| institution | Directory Open Access Journal |
| issn | 2076-328X |
| language | English |
| last_indexed | 2024-03-11T02:45:26Z |
| publishDate | 2023-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Behavioral Sciences |
| spelling | doaj.art-1892c10e352b4e02bad8e5f2a924ce572023-11-18T09:20:06ZengMDPI AGBehavioral Sciences2076-328X2023-06-0113651610.3390/bs13060516Latent Regression Analysis Considering Student, Teacher, and Parent Variables and Their Relationship with Academic Performance in Primary School Students in ChileSonia Salvo-Garrido0José Zayas-Castro1Karina Polanco-Levicán2José Luis Gálvez-Nieto3Departamento de Matemática y Estadística, Universidad de La Frontera, Temuco 4780000, ChileDepartment of Industrial and Management Systems Engineering, University of South Florida, Tampa, FL 33612, USAPrograma de Doctorado en Ciencias Sociales, Universidad de La Frontera, Temuco 4780000, ChileDepartamento de Trabajo Social, Universidad de La Frontera, Temuco 4780000, ChileAcademic performance in primary students is fundamental to future school success; however, simultaneous analysis of different key individual, family, and teaching factors must be considered to improve understanding and benefit the development of students’ potential. This article presents a latent regression analysis model that examines the relationship between the latent variables (self-efficacy, interest in reading, bullying, parental expectations, and discrimination/exclusion, and teacher violence/aggression) and the academic performance of first-cycle primary students. The model investigates the impact of the latent variables on the standardized endogenous variables of SIMCE Mathematics and Language test scores using a quantitative, non-experimental, correlational, and cross-sectional design. The study involved 70,778 students (53.4% female), with an average age of 9.5 years (SD = 0.6), from Chilean public (33.6%) and subsidized (66.4%) schools. The results indicate that the model accounted for 49.8% and 47.7% of the mean variability in SIMCE Mathematics and Language test scores, respectively. The goodness-of-fit indices demonstrated satisfactory fits for both models. In both tests, student self-efficacy emerged as the most significant factor explaining test score variability, followed by parental expectations. Bullying was identified as a relevant factor in reducing mean performance on both tests. The findings suggest that education decision makers should address these issues to improve student outcomes.https://www.mdpi.com/2076-328X/13/6/516latent regression analysisself-efficacyacademic expectationsacademic performancebullyingSIMCE |
| spellingShingle | Sonia Salvo-Garrido José Zayas-Castro Karina Polanco-Levicán José Luis Gálvez-Nieto Latent Regression Analysis Considering Student, Teacher, and Parent Variables and Their Relationship with Academic Performance in Primary School Students in Chile Behavioral Sciences latent regression analysis self-efficacy academic expectations academic performance bullying SIMCE |
| title | Latent Regression Analysis Considering Student, Teacher, and Parent Variables and Their Relationship with Academic Performance in Primary School Students in Chile |
| title_full | Latent Regression Analysis Considering Student, Teacher, and Parent Variables and Their Relationship with Academic Performance in Primary School Students in Chile |
| title_fullStr | Latent Regression Analysis Considering Student, Teacher, and Parent Variables and Their Relationship with Academic Performance in Primary School Students in Chile |
| title_full_unstemmed | Latent Regression Analysis Considering Student, Teacher, and Parent Variables and Their Relationship with Academic Performance in Primary School Students in Chile |
| title_short | Latent Regression Analysis Considering Student, Teacher, and Parent Variables and Their Relationship with Academic Performance in Primary School Students in Chile |
| title_sort | latent regression analysis considering student teacher and parent variables and their relationship with academic performance in primary school students in chile |
| topic | latent regression analysis self-efficacy academic expectations academic performance bullying SIMCE |
| url | https://www.mdpi.com/2076-328X/13/6/516 |
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