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The study used various statistical tests to analyze the data, including:
Kaiser-Meyer-Olkin Measure (KMO) and Bartlett’s Test of Sphericity: These tests were used to assess the suitability of the data for factor analysis.
Principal Component Analysis (PCA): PCA was used to reduce the number of items in the various constructs and retain only those responsible for the highest variation.
Multiple Linear Regression Analysis: This analysis was used to establish a predictive model of students' academic performance based on the indicators of the school environment.
Pearson Product-Moment Correlation Analysis: This analysis was used to establish relationships among the variables and to test the significance of the relationships.
Tools and Software
The study used the following tools and software for data analysis:
Statistical Package for Social Sciences (SPSS): Version 26 was used for data analysis.
Regression Analysis: This analysis was used to establish a predictive model of students' academic performance.
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