Analysis of the Relationship between Predictors of Academic Achievement of Schoolchildren Using the Network Modeling

<p>The problem of studying the factors influencing students’ academic achievement does not lose its relevance in modern psychological and pedagogical science. Such interest arises due to current development of ideas about education as a way of developing human capital, increasing well-being and quality of life of people in modern society. The academic achievement of schoolchildren is largely determined by non-cognitive factors, including personality characteristics, motivational indicators and the development of self-regulation. The present work aims to analyze the relationships between non-cognitive predictors of academic achievement of middle and high school students using the network modeling method. Primary data was obtained using the following methods: V.I. Morosanova’s “The Self-Regulation Profile of Learning Activity Questionnaire (SRPLAQ)”, “Academic Motivation Scale - School (AMS-S)”, “Attitude towards learning in middle and high school”, “Big Five Questionnaire — Children version, BFQ-C”. The average score in Russian language and mathematics was used as an indicator of academic achievement. The sample consisted of 307 secondary school students (37.1% boys, age: 10-18 years). The statistical analysis included calculation of descriptive statistics for 28 indicators, and analyses of partial correlation networks, describing the relationships between regulatory and personality variables, as well as the academic achievement of students in grades 5-6, 7-9 and 10-11. The results revealed significant relationships between variables regardless of the period of education, and differences in the structure of partial correlation networks in grades 5-6, 7-8 and 9-11. It was found that the nature of the relationships between non-cognitive predictors and academic achievement varies depending on the period of study. The result showed that the achievement of students in grades 5-6 is significantly and directly correlated to the indicator of openness to new experience, while in grades 7-9 a direct correlation is also found with the general level of attitude towards learning, and in grades 10-11 - with cognitive motivation, neuroticism and conscious self-regulation. The results confirm the known relationships, and also reveal new ones that were not previously discovered in existing research: for example, a negative relationship between academic performance and cognitive motivation. The article concludes with directions for further research of moderator-mediator interactions between non-cognitive variables in their impact on students’ academic achievement.</p>