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Social Research: Integrating Mathematical Foundations and Modern Statistical Computing by Baodong Liu (Paperback, 2014)

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The book balances imagination and reason with theoretical and mathematical information processing to help students understand the important link between social research and foundational math skills. Initially, readers are asked to consider the type of tasks to which such analysis might be applied.

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Like quantitative analysis itself, the text Social Research begins with a question. Why do social scientists use numbers to talk about everything from the stock market to human emotions? Social Research provides an answer with its common sense approach to the quantitative scientific method. The book balances imagination and reason with theoretical and mathematical information processing to help students understand the important link between social research and foundational math skills. Initially, readers are asked to consider the type of tasks to which such analysis might be applied. They learn about conceptualization, units of analysis, and the quantitative mind. These can then be applied as students explore specific tools, including measurement, variables, hypothesis and experiment, and controlled comparison. It shows detailed examples of how to use both SPSS and R software programs for basic statistical operations and programming needs. The book also discusses random sampling, the central limit theorem, Type I and Type II errors and bivariate and multiple regression. Social Research is about why science works, and while it includes mathematics, it does so in an accessible way. The book is suitable for undergraduate methods courses that meet the requirement for quantitative sciences, and it can also be a supplemental text to first graduate-level quantitative method classes that require mathematical training.