Data Analysis for the Social Sciences: Integrating Theory and Practice by Douglas bors
Requirements: .ePUB Reader | 27.1 MB
Overview: Accessible, 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 to:
Describe data with graphs, tables, and numbers
Calculate probability and value distributions
Test a priori and post hoc hypotheses
Conduct Chi-squared tests and observational studies
Structure ANOVA, ANCOVA, and factorial designs
Supported 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.
Genre: Non Fiction > Politics & Social Sciences > Social Sciences > Statistics
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