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Data Analysis For The Social Sciences: Integrating Theory And Practice
By Douglas Bors (Paperback, 2017)
'This book fosters in-depth understanding of the logic underpinning the most common statistical tests within the behavioural sciences By emphasising the shared ground between these tests the author provides crucial scaffolding for students as they embark upon their research journey' -Ruth Horry Psychology Swansea University 'This unique text presents the conceptual underpinnings of statistics as well as the computation and application of statistics to real-life situations--a combination rarely covered in one book A must-have for students learning statistical techniques and a go-to handbook for experienced researchers' -Barbra Teater Social Work College of Staten Island City University of New YorkAccessible engaging and informative this book will help any social science student approach
statistics with confidence With a well-paced and well-judged integrated approach rather than a simple linear trajectory this book progresses at a realistic speed that matches the pace at which statistics novices actually learn Packed with global interdisciplinary examples that ground statistical theory and concepts in real-world situations it shows students not only how to apply newfound knowledge using IBM SPSS Statistics but also why they would want to Spanning statistics basics like variables constants and sampling through to t-tests multiple regression and factor analysis it builds statistical literacy while also covering key research principles like research questions error types and results reliability It shows you how toDescribe data with graphs tables and numbersCalculate
probability and value distributionsTest a priori and post hoc hypothesesConduct Chi-squared tests and observational studiesStructure ANOVA ANCOVA and factorial designsSupported by lots of visuals and a website with interactive demonstrations author video and practice datasets this book is the student-focused companion to support students through their statistics journeys
statistics with confidence With a well-paced and well-judged integrated approach rather than a simple linear trajectory this book progresses at a realistic speed that matches the pace at which statistics novices actually learn Packed with global interdisciplinary examples that ground statistical theory and concepts in real-world situations it shows students not only how to apply newfound knowledge using IBM SPSS Statistics but also why they would want to Spanning statistics basics like variables constants and sampling through to t-tests multiple regression and factor analysis it builds statistical literacy while also covering key research principles like research questions error types and results reliability It shows you how toDescribe data with graphs tables and numbersCalculate
probability and value distributionsTest a priori and post hoc hypothesesConduct Chi-squared tests and observational studiesStructure ANOVA ANCOVA and factorial designsSupported by lots of visuals and a website with interactive demonstrations author video and practice datasets this book is the student-focused companion to support students through their statistics journeys
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