Download Data analysis and presentation

Data analysis and
presentation
EVERYONE WILL NEED A MINI -WHITEBOARD & PEN
Research involves the collection of data
1. What are the two different types of data that can be
collected?
2. Explain how these are different.
What you need to know:
1. Presentation & interpretation of quantitative data - graphs,
tables and scattergrams
2. Analysis & interpretation of quantitative data – measures of
central tendency and dispersion
3. Analysis & interpretation of correlational data
4. Presentation of qualitative data
5. Processes involved in content analysis
1. Presentation & interpretation of
quantitative data
Graphs and tables
Bar charts
Histograms
Scattergrams (only used for correlational data which we will
look at later)
1. Presentation & interpretation of
quantitative data
On your mini-whiteboard:
Draw a bar chart for the data above
from the Loftus and Palmer study
1. Presentation & interpretation of
quantitative data
Number of hours day care
a week
0-5
Mean number of
aggressive acts per week
1
6-10
11-15
3
2
16-20
21-25
26-30
31-35
4
2
3
9
Score on a extroversion
questionnaire
Frequency
8
1
9
2
10
4
11
6
12
5
13
3
14
2
15
2
16
3
17
0
18
2
Draw an
appropriate
graph for this
data
2. Analysis & interpretation of
quantitative data
Measures of central tendency and Measures of dispersion
1. What are the measures of central tendency?
2. How do you calculate: a) the mean b) the median c)the
mode
3. What are the measures of dispersion?
4. What they tell us about the data?
3. Analysis & interpretation of
correlational data
Scattergrams
Correlation coefficient
Participant
Self – rating of
enjoyment of
psychology
Score on a
question test
(n 20)
1
10
18
2
10
20
3
8
19
4
8
15
5
8
16
6
7
13
7
5
10
8
5
12
9
4
2
10
1
0
Correlation coefficient
Match the correlation coefficients with the correct description of the
correlations
+ 1.00
Strong negative correlation
+ 0.44
0.00
Strong positive correlation
Weak positive correlation
- 1.00
No correlation
- 0.40
Weak negative correlation
4. Presentation of qualitative data
Themes in qualitative data which can then be turned into
categories and therefore quantitative data
E.g. numbers of times a behaviour or comment occurs
5. Processes involved in content analysis
Recap:
What are the 6 processes involved in content analysis?