Techniques dealt with in this book range from those which relate to problems of data credibility in studies in While many social scientists in the USA take statistics as their default method, their British counterparts For observational studies , the data are collected using statistical sampling theory. Social research methods. Author : Joseph F. Hair, Jr. Application of first-generation statistical methods , such as factor Author : Carol S.
The book contains sufficient material for a two-semester sequence of courses. Such sequences are commonly required of social science graduate students in sociology, political science, and psychology. Students in geography, anthropology, journalism, and speech also are sometimes required to take at least one statistics course.
Datasets and other resources where applicable for this book are available here. Unlike other advanced statistical texts, this book combines the theory and practice behind a number of statistical techniques which students of the social sciences need to evaluate, analyze, and test their research hypotheses.
Each chapter discusses the purpose, rationale, and assumptions for using each statistical test, rather than focusing on the memorization of formulas. The tests are further elucidated throughout the text by real examples of analysis. Of particular value to students is the book's detailed discussion of how to utilize SPSS to run each test, read its output, interpret, and write the results.
Electronic database files are available for student and instructor use. Statistical methods in modern research increasingly entail developing, estimating and testing models for data. Rather than rigid methods of data analysis, the need today is for more flexible methods for modelling data.
In this logical, easy-to-follow and exceptionally clear book, David Flora provides a comprehensive survey of the major statistical procedures currently used. His innovative model-based approach teaches you how to: Understand and choose the right statistical model to fit your data Match substantive theory and statistical models Apply statistical procedures hands-on, with example data analyses Develop and use graphs to understand data and fit models to data Work with statistical modeling principles using any software package Learn by applying, with input and output files for R, SAS, SPSS, and Mplus.
Statistical Methods for the Social and Behavioural Sciences: A Model Based Approach is the essential guide for those looking to extend their understanding of the principles of statistics, and begin using the right statistical modeling method for their own data.
It is particularly suited to second or advanced courses in statistical methods across the social and behavioural sciences.
This book not only provides a simple description of the basic concepts and principles of statistical analysis for the social sciences, it also points to failures of methods and offers ways to correct such problems. For example, it was once thought that standard hypothesis testing procedures for means have relatively high power under nonnormality.
Many studies have since demonstrated that power can be very low even with very slight departures from normality. ANOVA coverage has been re-organized to put more emphasis on using regression models with dummy variables to handle categorical explanatory variables. Companion website found at www. Special directories there also have data files in Stata format and in SPSS format so they are ready for immediate use with those packages.
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