Taking the fear out of giving presentations at university, learn how to develop public speaking skills, build your confidence and succeed with your assignments.
A practical, up-to-date, step-by-step guidance on causal analysis; which features worked example datasets throughout to see methods in action. McBee clearly demonstrates techniques such as Rubin causal model, direct acyclic graphs and propensity score analysis.
Part of The SAGE Quantitative Research Kit, this concise text breaks down the complex topic of inferential statistics with accessible language and detailed examples. Covering a range of topics, it provides you with the know-how and confidence needed for a successful quantitative research journey.
Do your results mean something - or not? How can you measure it? Breaking it down into three building blocks, this Little Quick Fix shows students how to master hypothesis testing, normal distribution and p values.
The clearest and most straight-forward explanations of statistical concepts are combined with lots of practical examples from a variety of disciplines, all now with a brand new website with additional resources for students and lecturers.
Dancey and Reidy are very well known for their Pearson textbook Statistics Without Maths for Psychology and have applied the same principles here to the health sciences market, where they're far more established as researchers.