A full significance table for use with the Spearman’s Rank Correlation Coefficient. This version shows five different levels of significance.

A guide for students embarking on geography fieldwork that involves designing and delivering a questionnaire survey. The guide looks at the advantages and disadvantages of using different styles of questions as well as how to get the most number of questionnaires completed at the field site.

With students increasingly having to consider the ethical and moral impacts of their fieldwork, this guide highlights some of the key areas they should think about while they plan and carry out their fieldwork.

A guide to the main types of sampling strategy and how they might be used within geography fieldwork.

This book offers advice to A Level geography teachers looking to create higher and more sustainable levels of independent research skills in their students, specifically for those looking to complete the NEA (Independent Investigation). The book also contains nine classroom-ready worksheets which provide tasks and guidance to students.

A student guide for the use of Z scores within geographical research. Includes a step-by-step guide showing students how to calculate them.

A student guide to this simple statistical test. The worksheet gives examples of geographical investigations in which one can use location quotients as well as a fully worked example for students to follow.

A guide to using the Pearson Product Moment Correlation Coefficient in geographical research. The guide includes suggested areas where this statistical test could be used as well as a fully worked example for students to follow.

A guide teaching students how to complete a Simpson’s Diversity Index. The guide comes with a variety of scenarios in geography that could use this statistical test as well as a fully worked example.

A guide to calculating the Standard Deviation of different data samples. The guide includes a worked geographical data set and other examples of geographical research where the calculation could be used.

A comprehensive guide to a commonly used statistical test in geography. The requirements and theory behind the test are clearly explained and step-by step instructions are given to allow students to complete the test themselves. A worked example shows how the test can be used to analyse beach sediment size in two locations.

A comprehensive guide to one of the more commonly used statistical tests in geography. As well as highlighting the benefits of the Mann Whitney U Test and the parameters needed for its correct use, this guide also provides a step-by-step set of instructions and a worked example showing how it can be used to analyse favourability scores.

A comprehensive guide to one of the more commonly used statistical tests in geography. As well as highlighting the strengths of Chi Squared and the parameters needed for its correct use, this guide also provides a step-by-step set of instructions and a worked example showing how it can be used to analyse questionnaire data.

A comprehensive guide to one of the most commonly used statistical tests in geography. As well as highlighting the value of Spearman’s Rank and the parameters needed for its correct use, this guide also provides a step-by-step set of instructions and a worked example showing how it can be used to analyse questionnaire data.A comprehensive guide to one of the most commonly used statistical tests in geography. As well as highlighting the value of Spearman’s Rank and the parameters needed for its correct use, this guide also provides a step-by-step set of instructions and a worked example showing how it can be used to analyse questionnaire data.

This guide introduces geography students to the initial stages of statistical analysis by highlighting some of the necessary considerations when choosing a stats test and some of the key terms they need to know and use.

A set of Excel spreadsheets which automatically calculate critical values for six of the most widely used statistical tests in geography A Level: Spearman’s Rank Correlation Coefficient Mann Whitney U Test Chi Squared Test Student’s T Test Pearson Product Moment Correlation Coefficient Simpson’s Diversity Index A good way for students to check their long-hand working, or a way to analyse primary data for students who are unconfident in their maths skills.

A forty page book designed to show A Level Geography students how they can use statistics in geographical research, and especially in their NEA (Independent Investigation). The guide contains information on how students might choose a particular statistical test and then goes into detail about twelve of the most commonly used tests. For each statistical test there is a section which: - describes how the statistical test works - gives a range of examples of research angles that might use that statistical test - provides a step-by step guide, showing students how to carry out that particular statistical test through a worked example Where necessary, significance tables or critical value tables are also included.