Description

ABOUT THIS COURSE

This brand-new course will give you the knowledge and skills you need to confidently and expertly teach the maths content of the Edexcel Psychology A-Level course, including any application questions with data content. Maths questions alone make up 10% of the marks in the exams, and maths-related application questions within research methods are found in plentiful supply throughout all three exam papers.

You will be taken through each aspect of maths and data application questions and will be given resources to use throughout the day and also some to take with you to use in your classrooms and beyond. Students who achieve A and A* grades typically do well in the short answer questions, many of which are on maths and data application questions within research methods. You will learn about what the examiner is looking for in such questions and how to pass on your expertise and confidence to your students.

BENEFITS OF ATTENDING

• Become an expert in teaching how to conduct inferential tests (Mann Whitney, Spearman’s, Chi Squared and Wilcoxon) and how to interpret the results to test for significance
• Become confident in measures of central tendency and range, both in calculation and evaluation
• Understand how the marks are allocated in maths-related research methods questions and how to get full marks in such questions
• To be able to explain levels of measurement (nominal, ordinal, interval/ratio data) and to explore interesting ways of teaching the differences between them
• Explore easy ways of helping your students to understand the reasons for choosing each inferential test, and how to apply this knowledge to a question to gain full marks
• To brush up on other maths skills needed, such as ratios, fractions and percentages
• To learn how to get full marks on questions where students are required to draw conclusions from previously unseen data
• Become a graphs guru – how to get full marks on questions involving bar charts, histograms and scatter graphs

PROGRAMME

Master the Measures of Central Tendency and Dispersion

10.00 – 11.10am

• Learn how to calculate the mean, median and mode
• Explore the strengths and weaknesses of the mean, median and mode
• Learn how to calculate the range and standard deviation
• Explore the strengths and weaknesses of the range and standard deviation

Discussion: coffee break

11.00 – 11.20am

Inferential Tests Demystified

11.20 – 12.20pm

• A focus on Mann Whitney, Spearman’s, Chi Squared and Wilcoxon tests
• Understand how to use the calculated values to test for significance
• Explore creative and simple ways to teach students which test to choose and how to apply this knowledge to questions for full marks
• Getting to grips with levels of measurement (nominal, ordinal, interval/ratio data) and learning about interesting ways of teaching this to your students

Lunch and informal discussion

12.20 – 1.20pm

Back to Basics

1.20 – 2.20pm

• Refresh your skills on ratios, fractions and percentages and put this into practice by attempting past exam questions

Become a Graphs Guru

2.20 – 2.50pm

• How to help students to get full marks from questions involving bar charts, histograms and scatter graphs

Discussion: afternoon tea

2.50 – 2.55pm

Ace those Application Questions

2.55 – 3.45pm

• Explore how students should answer questions on drawing conclusions from unseen data
• Apply the knowledge learned throughout the day on actual exam questions