Summarising Quantitative Data Research Methods. Recap – Ethical Issues  Answer the past exam question on ethical issues.

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Presentation transcript:

Summarising Quantitative Data Research Methods

Recap – Ethical Issues  Answer the past exam question on ethical issues

Markscheme 1.  Although the psychologist would not be responsible for the behaviour of the children in the playground he might consider his responsibility if he saw that one of the children was being harmed.  Likely ethical issues include informed consent, right to withdraw, confidentiality or respect. Ways of dealing will depend on the issue selected.  There are different routes to achieving 4 marks depending on the ethical issue selected, but for full marks both the ethical issue and how the psychologist could have dealt with it should be clear.

Markscheme 2.  There was no deception. Participants knew they would be watching a film of a violent crime and that they would be interviewed about the content by a male police officer before they volunteered. This gave them the opportunity to give informed consent.  Students may argue that the psychologist did not follow BPS guidelines eg because they were not told of their right to withdraw.  1 mark for a very brief or slightly muddled answer, linking a relevant ethical issue to whether or not awareness was shown. Further marks for accurate elaboration/discussion.  Eg He told them what he was going to do. (1 mark) They could give informed consent because he told them what he was going to do. (2 marks) The participants were told that they would be watching a violent crime so they were able to give informed consent. (3 marks)

Learning Objectives  To define quantitative data  To outline how quantitative data can be summarised using different types of charts and graphs  To produce correctly labelled graphs/charts for given data

What is quantitative data?

How can quantitative data be summarised?  Histogram  Bar chart  Scattergram

Histogram  No gaps in between bars  Used to present continuous data e.g. age  I remember it by saying “history is continuous, there are no gaps in history”

Bar chart  Gaps between bars  Used with discrete data e.g. grades  I remember this by thinking of a bar crawl with separate bars that we visit and a short walk between each!

Which graph would be used to summarise the following data?  Gender  Weight  Time  Conditions (Experimental and Control conditions )  Age  Years (2007, 2008, 2009,...)  Blood group  Height  Behaviour categories  Temperature  Age groups (0-5, 6-10, 11-15)

Summary Bar ChartHistogram Non-continuous/discrete dataWhole continuous data set Columns represent frequencies, totals or percentages, ratios, mean scores, etc of different categories Only frequencies Gaps between the columns, as the columns represent discrete variables No Gaps between columns

Scattergram  Looking at the relationship or correlation between two variables  E.g. the relationship between playing video games and aggression  To draw a graph, one variable is put on X-axis and the other variable is put on the Y axis.  Then each pair of scores is placed as a dot or cross where the two scores meet.

Your Task  Complete the gap-fill task on charts and graphs

Your Task  Summarise the given data into a graph/chart  Make sure you give it a title and label the axes correctly

Summary Q’s  What is quantitative data?  Give an example of continuous and discrete data  When would you use a histogram?  When would you use a bar chart?  When would you use a scattergram?  What type of correlation does this represent ?