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Mastering Statistics
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Mastering Statistics



March 2021 | 464 pages | SAGE Publications Ltd

Provides readers with the statistical tools to test almost any hypothesis and research question.

By teaching complex analyses in simple, straight-forward language, and with an emphasis on statistical flexibility, this book enables readers to: 

  • Choose and apply the best statistical approach for their research design
  • Get a buffet-style introduction to the major advanced statistical techniques
  • Work with a clear set of best practices for statistical analysis in the social sciences
  • Understand the relationship between statistics and statistical inference
  • Get to grips with the advent of big datasets
  • Avoid common errors and pitfalls in the research design phase
  • Communicate the results of analysis effectively and with impact
  • Learn statistics as a journey in testing a hypothesis and exploring empirical data.

 
Chapter 1 The General Linear Model
 
Chapter 2 Multilevel Modeling
 
Chapter 3 Multivariate Models
 
Chapter 4 Non-Gaussian Statistics
 
Chapter 5 Bayesian Hypothesis Testing
 
Chapter 6 Process Models
 
Chapter 7 Structural Equation Models
 
Chapter 8 Cluster Analysis
 
Chapter 9 Factor Analysis
 
Chapter 10 Time-based Analyses
 
Chapter 11 Exploratory Data Analysis
 
Chapter 12 Reporting and Visualizing Results
Key features

Key Needs/Benefits Analysis:

Key Need 1 - The Nuffield initiative will expose M-level students to ‘newer methodological’ issues:

‘So something that covers things like MLMs, MCMC, 'big data', etc. may find something of a market in the UK that doesn't exist at the moment...’ (Richard Lampard)

Key Need 2 - Students need to understand conceptual bases properly before ‘just doing’:

‘This book appears to aim at providing a general understanding of global issues and general models, and after that to progress towards description of actual analyses. This is what makes this book stand out from the crowd of multivariate analysis books’ (Joop Hox)

Key Need 3 - Appreciating scientific/real-world context is key to better understanding:

‘The plan is to include publically available datasets and provide examples/exercises. Great idea.’ (Pranjal Mehta)

Key Need 4 - Need for a single textbook with this much coverage in one-stop shop:

‘There is a need for a graduate level stats textbook that includes this much breadth and is accessible to students/researchers wishing to get started on implementing the statistics right away.’ (Pranjal Mehta)

Key Need 5 -  Advanced statistical training usually requires understanding of a variety of data analysis tools: 

‘A range of statistics programmes will be included in the same volume, this will save buying or borrowing the R, SPSS and STATA textbooks.’ (Rosie Campbell)

Key Need 6 - Facilitating the ease of statistical communication:

‘This chapter is novel and will be very helpful. I don’t know any other textbooks that have a chapter on statistical communication. I would probably point my graduate students to this chapter before they start writing up their papers.’ (Pranjal Mehta)

‘Again this is very important and I thought the proposal was clearly written and I could see how the material would be engaging.’ (Rosie Campbell)

 

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