Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Techniques for Data Management and Statistical Analysis

Techniques for Data Management and Statistical Analysis

Myers, Ronald

Hardcover

DatabasesGeneral Computers

Currently unavailable to order

ISBN13: 9798902113300
Publisher: Oryson Press
Pages: 336
Weight: 1.76
Height: 0.75 Width: 7.00 Depth: 10.00
Language: English
Techniques for Data Management and Statistical Analysis addresses the critical need for robust data handling and analytical rigor in contemporary research and practice. Effective data management is paramount for ensuring data quality, integrity, and accessibility, while sound statistical analysis is essential for extracting meaningful insights and validating hypotheses. Navigating the complexities of data collection, processing, and interpretation presents significant challenges across various disciplines. This book systematically explores foundational concepts in data management, including its evolution, principles, and best practices. It delves into essential statistical topics such as multivariate normal distributions, random variables, and measurement theory, elucidating their properties and applications. Advanced analytical methods are covered, including exploratory and confirmatory factor analysis, comprehensive data analysis techniques, data mining methodologies, hypothesis testing, and various regression models, including mediation and moderation analysis. This comprehensive resource is designed for students, researchers, and professionals seeking to master the theoretical underpinnings and practical application of data management and statistical analysis.

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