UNDERSTANDING CORRELATIONAL ANALYSIS IN ECONOMICS EDUCATION
Аннотация
This article explores the fundamental principles and applications of correlational analysis within the context of economics education. Correlational analysis serves as a pivotal statistical tool for educators and researchers aiming to identify and understand the relationships between various educational variables. By examining the nature, strength, and direction of these associations, educators can gain insightful data-driven evidence to enhance teaching methodologies, improve student outcomes, and foster a more engaging learning environment. This article provides an overview of the Pearson Correlation Coefficient and other correlational measures, articulating their theoretical underpinnings and practical relevance to educational research. Through a series of illustrative examples, we demonstrate how correlational analysis can be employed to investigate phenomena such as the relationship between class attendance and academic performance, the impact of online resources on learning outcomes, and the influence of economic anxiety on classroom participation, among others. The article underscores the importance of careful interpretation of correlation coefficients, highlighting common misconceptions such as the conflation of correlation with causation. Additionally, we discuss the limitations of correlational analysis and suggest complementary statistical approaches to address these challenges. By offering a comprehensive guide to utilizing correlational analysis in the field of economics education, this article aims to contribute to the enhancement of pedagogical practices and the promotion of empirical research in educational contexts.
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