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With an emphasis on qualitative research as a process, and with new chapters on researching social mass media and writing a research project, this book takes a holistic approach to research and provides readers with a clear, step-by-step guide
With step-by-step instructions covering the entire research process, and with an emphasis on meaningful analysis to encourage good judgement, this book provides that ideal stepping stone between learning about research and actually doing it
A comprehensive guide to studying and interpreting communication interaction.
With clear, step-by-step examples and inclusion of techniques that can be applied to a variety of settings, this book lays out a systematic approach to comparative case analysis based on fundamental insights of information theory
Taking the reader step-by-step through the intricacies, theory and practice of regression analysis, Damodar N. Gujarati uses a clear style that doesn’t overwhelm the reader with abstract mathematics.
Demonstrating the use of spatial analysis in the social sciences within a regression framework, the second edition of this text employs examples based on real data to illustrate... Læs mere
Using a conversational tone, the author speaks to the reader as a researcher when covering statistical theory, computation, and application, giving them the confidence to use statistics to summarize data and make decisions about behaviour.
This textbook is ideal for graduate or advanced undergraduate students in the social, behavioral, or managerial sciences who may need to conduct some form of statistical analysis in their future professional lives, but who are not trained in mathematics.
A practical guide to help students, researchers and their mentors identify, prevent, mitigate and resolve ethical issues in research, navigating through issues of institutional policies and academic freedom.
An R Companion to Applied Regression is a broad introduction to the R statistical computing environment in the context of applied regression analysis.
A concise, introductory text on propensity score methods that is easy to comprehend by those who have a limited background in statistics, and is practical enough for researchers to quickly generalize and apply the methods.