A Primer on Data Management, Statistical Analysis, and Techniques addresses the critical need for rigorous data handling and analytical proficiency in contemporary research and practice. In an era defined by vast and complex datasets, the ability to effectively manage, analyze, and interpret information is paramount for informed decision-making, scientific advancement, and robust problem-solving. Core challenges include ensuring data quality, selecting appropriate statistical methodologies, mitigating biases, and validating analytical outcomes. This book systematically explores fundamental data management principles, the properties and applications of the multivariate normal distribution, and foundational measurement theory alongside exploratory and confirmatory factor analysis. It elucidates random variables, general data analysis techniques, and essential statistical methods, including hypothesis testing and statistical inference. Furthermore, it introduces data mining and optimization, mediation and moderation analysis, and advanced statistical validation for quality assessment, covering accuracy, precision, and trueness. This comprehensive resource is designed for students, researchers, and professionals seeking a foundational yet thorough understanding of data management and advanced statistical methodologies.
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Barbara Foster brings extensive field research experience to their comprehensive work on data analysis and statistical methods. Their expertise spans data management principles, multivariate normal distributions, measurement theory, and both exploratory and confirmatory factor analysis. This author's contributions cover hypothesis testing and general data analysis techniques.
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Librería: California Books, Miami, FL, Estados Unidos de America
Condición: New. Nº de ref. del artículo: I-9798887159027
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 268 pp. Englisch. Nº de ref. del artículo: 9798887159027
Cantidad disponible: 2 disponibles
Librería: preigu, Osnabrück, Alemania
Buch. Condición: Neu. A Primer on Data Management, Statistical Analysis, and Techniques | Barbara Foster | Buch | Englisch | 2026 | Oryson Press | EAN 9798887159027 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Nº de ref. del artículo: 136404878
Cantidad disponible: 5 disponibles
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A Primer on Data Management, Statistical Analysis, and Techniques addresses the critical need for rigorous data handling and analytical proficiency in contemporary research and practice. In an era defined by vast and complex datasets, the ability to effectively manage, analyze, and interpret information is paramount for informed decision-making, scientific advancement, and robust problem-solving. Core challenges include ensuring data quality, selecting appropriate statistical methodologies, mitigating biases, and validating analytical outcomes.This book systematically explores fundamental data management principles, the properties and applications of the multivariate normal distribution, and foundational measurement theory alongside exploratory and confirmatory factor analysis. It elucidates random variables, general data analysis techniques, and essential statistical methods, including hypothesis testing and statistical inference. Furthermore, it introduces data mining and optimization, mediation and moderation analysis, and advanced statistical validation for quality assessment, covering accuracy, precision, and trueness.This comprehensive resource is designed for students, researchers, and professionals seeking a foundational yet thorough understanding of data management and advanced statistical methodologies. Nº de ref. del artículo: 9798887159027
Cantidad disponible: 2 disponibles