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Statistical Modelling Methods
Statistical Modelling Methods
Statistical Modelling Methods
Statistical Modelling Methods
Statistical Modelling Methods
Statistical Modelling Methods
Statistical Modelling Methods

Statistical Modelling Methods

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Statistical Modelling MethodsA Guide for the Social and Behavioural Sciences\nAuthor(s): David B. Flora\nFormat: Paperback\nPublisher: SAGE Publications Ltd, United Kingdom\nImprint: SAGE Publications Ltd\nISBN-13: 9781529622614, 978-1529622614\nSynopsis\nLooking to extend your understanding of statistical methods and data analysis skills? This text shows you how to apply advanced statistical models to data across the behavioural and social sciences.\n\nThis approachable book explains how to develop, estimate, and test statistical models with demonstrations using R. It gives you a strong grounding in key techniques such as multiple regression, multilevel modelling, factor analysis, and structural equation modelling, and helps you move beyond rigid statistical tests to confidently choose an appropriate model for reaching strong conclusions from your data.\n\nThis second edition includes:\n\nTwo new chapters on logistic regression and missing data.\nUpdated and improved content on caus.

Statistical Modelling Methods

Statistical Modelling MethodsA Guide for the Social and Behavioural Sciences\nAuthor(s): David B. Flora\nFormat: Paperback\nPublisher: SAGE Publications Ltd, United Kingdom\nImprint: SAGE Publications Ltd\nISBN-13: 9781529622614, 978-1529622614\nSynopsis\nLooking to extend your understanding of statistical methods and data analysis skills? This text shows you how to apply advanced statistical models to data across the behavioural and social sciences.\n\nThis approachable book explains how to develop, estimate, and test statistical models with demonstrations using R. It gives you a strong grounding in key techniques such as multiple regression, multilevel modelling, factor analysis, and structural equation modelling, and helps you move beyond rigid statistical tests to confidently choose an appropriate model for reaching strong conclusions from your data.\n\nThis second edition includes:\n\nTwo new chapters on logistic regression and missing data.\nUpdated and improved content on caus.

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