Generalization of the Fixed Effects Model with Interaction on Multivariate and their Application

This study applied a multivariate analysis model to investigate specifically the effect of grades and gender as independent variables on the overall rate and student rate of academic performance among 512 students at Qassim University. The Multivariate Analysis of Variance (MANOVA) was used to estimate the variances and determine if there were differences between groups, as well as to determine the effect of each of these independent variables on the dependent variables, in addition to determining the effect of the joint interaction between grades and gender on the overall rate and student rate. The results revealed that female students had higher average rates than male students, and that male students' grades were more dispersed. Notably, grades significantly impacted academic performance, while gender had no effect. The study recommends using multivariate models in educational research and suggests further studies with additional variables to enhance educational outcomes.

Authors

Publication Details

Journal
European Journal of Statistics and Probability
Published
2025-01-15
DOI
https://doi.org/10.37745/ejsp.2013/vol13n12940
Primary Topic
Probabilistic and Robust Engineering Design
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Generalization of the Fixed Effects Model with Interaction on Multivariate and their Application

Abu Elgasim Abbas Abow Mohammed
European Journal of Statistics and Probability
Probabilistic and Robust Engineering Design
article

Generalization of the Fixed Effects Model with Interaction on Multivariate and their Application

Abu Elgasim Abbas Abow Mohammed
article en

Abstract

This study applied a multivariate analysis model to investigate specifically the effect of grades and gender as independent variables on the overall rate and student rate of academic performance among 512 students at Qassim University. The Multivariate Analysis of Variance (MANOVA) was used to estimate the variances and determine if there were differences between groups, as well as to determine the effect of each of these independent variables on the dependent variables, in addition to determining the effect of the joint interaction between grades and gender on the overall rate and student rate. The results revealed that female students had higher average rates than male students, and that male students' grades were more dispersed. Notably, grades significantly impacted academic performance, while gender had no effect. The study recommends using multivariate models in educational research and suggests further studies with additional variables to enhance educational outcomes.

European Journal of Statistics and ProbabilityVol. 13(1)
Openalex Percentile: Top 86%
Probabilistic and Robust Engineering Design
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.