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.
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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

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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

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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

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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

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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.

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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

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8
Q

What is continuous data

A

Things that fall on a continuous scale - height, temperature, time.

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9
Q

What is non-continuous data

A

Things that fall into distinct categories - exam grades, types of ice cream, names of football teams.

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