21. Summarising the Data Flashcards
1
Q
How can Qualitative data be presented
A
- Qualitative data from observations, interviews, surveys, etc. can be presented in a report as a ‘verbal summary’.
- The report would contain summaries of what was seen or said, possibly using categories to group data tg. Also quotations from P’s can be used, & any research hypotheses that developed during the study or data analysis may be discussed.
2
Q
How can Quantitative data be presented
A
When Quantitative data is collected (or produced from qualitative data) it can be summarised & presented in various ways:
- Tables
- Line graphs
- Bar charts
- Scattergrams
- Histograms
3
Q
Tables
A
- Tables are a good way to summarise Quantitative data. They can be used to clearly present the data & show any patterns.
- Tables of ‘raw data’ show the scores before any analysis has been done on them.
- Other tables may show descriptive statistics sa the mean, range, SD.
see pg120 for eg and practice q
4
Q
Line graph
A
- Line graphs are good for showing more than one set of data. They are for use with continuous data.
- The IV is plotted along the x-axis & the DV up the y-axis.
- They show the plotted data points, which are then joined up with straight lines.
- It can be useful to combine two or more line graphs on the same set of axes - then its easy to make comparisons between groups.
see pg121 for eg
5
Q
Bar charts
A
- Bar charts usually used for non-continuous data (like when a variable falls into categories rather than being measured on a numbered scale).
- Note that the columns in bar charts dont touch eachother.
see pg121 for eg
6
Q
Scattergrams
A
- Scattergrams are used when you’ve got 2 different variables - you plot one variable along the bottom of the graph, & the 2nd one up the slide.
- Scattergrams are good for showing whether theres a correlation.
- A line of best fit is drawn to show the trend, rather than joining up each point.
see pg121 for eg.
7
Q
Histograms
A
- Histograms show data measured on a ‘continuous’ scale of measurement. (for when you have continuous data).
- Each column shows a class interval & the columns touch eachother.
- It’s the height of the column that shows the no. of values in that interval. (All intervals are shown, even if there are no scores within them).
see pg122 for eg
8
Q
What is continuous data
A
Things that fall on a continuous scale - height, temperature, time.
9
Q
What is non-continuous data
A
Things that fall into distinct categories - exam grades, types of ice cream, names of football teams.