Techniques for Data Management and Statistical Analysis

Description

Mastering data is paramount in today’s empirical landscape. This comprehensive textbook, ‘Techniques for Data Management and Statistical Analysis,’ equips college-level students with the essential theoretical knowledge and practical skills to confidently navigate complex datasets.

Beginning with foundational data management principles and the intricacies of random variables, the text systematically progresses through core statistical methodologies. Students will gain expertise in sophisticated techniques such as multivariate normal distribution, exploratory and confirmatory factor analysis, and cluster analysis. It meticulously covers various data analysis techniques, including correlation, robust hypothesis testing, and the critical assessment of analytical procedure quality. Moreover, the book provides rigorous instruction on advanced topics like mediation and moderation effects, preparing readers for robust, evidence-based research and informed decision-making across diverse fields.

Ronald Myers brings extensive post-doctoral experience in advanced quantitative methods and psychometrics. Their acclaimed research focuses on statistical modelling, factor analysis, and robust data analysis techniques. They are a leading expert in the field.