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Psychology · Year 11

Active learning ideas

Data Handling and Analysis

The final stage of any psychological study is making sense of the results. Students learn to handle both quantitative (numerical) and qualitative (descriptive) data. They practice calculating the mean, median, mode, and range, and learn how to interpret various data visualisations like bar charts, histograms, and scatter diagrams. This topic ensures students can draw valid conclusions from raw data.

National Curriculum Attainment TargetsAQA GCSE Psychology 3.2.2.5 Quantitative and qualitative dataAQA GCSE Psychology 3.2.2.6 Data handling and descriptive statistics
20–50 minPairs → Whole Class3 activities

Activity 01

Inquiry Circle50 min · Small Groups

Inquiry Circle: The Class Data Project

The class gathers data on a simple topic (e.g., reaction times or hours of sleep). In groups, they must calculate the mean, median, and mode for their data set and then create the most appropriate graph to display their findings to the class.

What is the difference between qualitative and quantitative data?
AnalyzeEvaluateCreateSelf-ManagementSelf-Awareness
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Activity 02

Peer Teaching30 min · Small Groups

Peer Teaching: Graph Gurus

Divide the class into 'experts' on different graph types (Bar, Histogram, Scatter). Each group is given a set of data and must teach another group why their specific graph is the best way to represent it.

How do you calculate the mean, median, and mode?
UnderstandApplyAnalyzeCreateSelf-ManagementRelationship Skills
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Activity 03

Think-Pair-Share20 min · Pairs

Think-Pair-Share: Qualitative vs Quantitative

Students are given a series of research questions. In pairs, they must decide if the question would be better answered with qualitative or quantitative data and explain the 'strengths and weaknesses' of their choice.

What does a scatter diagram show?
UnderstandApplyAnalyzeSelf-AwarenessRelationship Skills
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A few notes on teaching this unit


Watch Out for These Misconceptions

  • The mean is always the best measure of central tendency.

    The mean can be distorted by 'extreme scores' (outliers). A 'salary' activity where one person is a 'billionaire' helps students see why the median is sometimes a more 'honest' representation of the group.

  • Qualitative data is 'easier' because there are no numbers.

    Qualitative data is actually very difficult to analyse because it is subjective and time-consuming to categorise. A 'content analysis' task where students try to code a series of interviews helps them see the complexity of non-numerical data.


Methods used in this brief