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Nick Barter,
Christopher Stevenson,
Angela Victor,
Chris Rawson,
Jessica Cheung,
Georgie Lowe,
Matthew Clarke,
and
Michael Rose
Topics Covered
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Topics Covered
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Topics Covered
- Why numbers matter in quantitative research
- How to use statistics to analyse data and solve real world problems
- How to formulate research questions, informed by accurate and reliable measurement
- How to select and justify an appropriate research method to answer your question
- The close relationship between quantitative and qualitative research
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Provides a comprehensive overview of research design and quantitative methodology. It covers a wide range of topics, including research ethics, research methods, data collection, data analysis, and interpretation.
Is designed for students and professionals in business and management. It covers the basics of quantitative research and provides examples of how quantitative research can be used to solve business problems.
Focuses on the practical aspects of quantitative research design. It provides step-by-step instructions on how to design and conduct a quantitative research study.
This handbook provides a comprehensive overview of quantitative research methods. It covers a wide range of topics, including research design, data collection, data analysis, and interpretation.
Provides a comprehensive overview of quantitative research methods in communication. It covers topics such as research design, data collection, data analysis, and interpretation.
Classic text on quantitative research methods. It provides a clear and concise overview of the principles and methods of quantitative research.
Provides a comprehensive overview of quantitative research methods for the social sciences. It covers topics such as research design, data collection, data analysis, and interpretation.
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Comprehensive handbook of statistical techniques, covering topics such as data collection, analysis, and interpretation. It good choice for students who want to learn how to apply statistical techniques to real-world problems.
Comprehensive introduction to statistical learning, covering topics such as supervised learning, unsupervised learning, and reinforcement learning. It good choice for students who want to learn the basics of statistical learning.
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Comprehensive introduction to machine learning, covering topics such as supervised learning, unsupervised learning, and reinforcement learning. It good choice for students who want to learn the basics of machine learning.
Comprehensive introduction to Bayesian data analysis, covering topics such as Bayesian probability, Bayesian inference, and Bayesian modeling. It good choice for students who want to learn the basics of Bayesian statistics.
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Concise introduction to statistical inference, covering topics such as point estimation, hypothesis testing, and confidence intervals. It good choice for students who want to learn the basics of statistical inference.
Comprehensive introduction to statistics, covering topics such as data collection, analysis, and interpretation. It is well-written and provides plenty of examples and exercises.
Popular introduction to statistics, covering topics such as data collection, analysis, and interpretation. It is written in a clear and concise style, making it accessible to readers of all levels.
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Comprehensive introduction to biostatistics, covering topics such as data collection, analysis, and interpretation. It good choice for students who want to learn the basics of biostatistics for health science research.
Comprehensive introduction to causal inference, covering topics such as causal models, causal effects, and causal inference methods. It good choice for students who want to learn the basics of causal inference.
Comprehensive introduction to Bayesian statistics, covering topics such as Bayesian probability, Bayesian inference, and Bayesian modeling. It good choice for students who want to learn the basics of Bayesian statistics.
Comprehensive introduction to statistics for psychologists, covering topics such as data collection, analysis, and interpretation. It is written in German and good choice for students who want to learn the basics of statistics in German.
Provides a comprehensive overview of basic statistical concepts, including data collection, analysis, and interpretation. It is written in a clear and concise style, making it accessible to readers of all levels.
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An excellent overview of Bayesian statistics, this book provides a comprehensive introduction to the theory and practice of Bayesian data analysis. The focus on practical applications and real-life examples makes it a great choice for students and practitioners alike.
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