Data Handling: Types, Display of Data And Distibution Flashcards
1
Q
Qualitative data
A
- expressed in words, rather than numbers or statistics
- May take the form of a written description of the thoughts, feelings and opinions of participants
-Could be a written account of what the researcher saw in an observation - Qualitative methods of data collection are those that are concerned with the interpretation of language from, for example, an interview or an unstructured observation
✅ more detail and broader scope so greater external validity
❌ difficult to analyse
❌ subjective interpretations
2
Q
Quantitative data
A
- data expressed numerically
- Quantitative data collection techniques usually gather numerical data in the form of individual scores from participants such as the number of words a person was able to recall in a memory experiment
- Data is open to being analysed statistically and can be easily converted into graphs, charts etc.
✅ simple to analyse
✅ more objective and less open to bias
❌ narrower in meaning and detail
3
Q
Primary data
A
- Sometimes called field research
- Refers to original data that has been collected specifically for the purpose of the investigation by the researcher
- It is data that arrives first-hand from the participants themselves
- Data which is gathered by conducting an experiment, questionnaire, interview or observation would be classed as primary data
✅ authentic data that fits the purpose, specifically targeted
❌ time consuming and expensive
4
Q
Secondary data
A
- Data that has been collected by someone other than the person who is conducting the research
- Data that already exists before the psychologist begins their research or investigation
- Sometimes referred to as ‘desk research and it is often the case that secondary data has already been subject to statistical testing ano herefore the significance is already known
- Data could be located in journal articles, books or websites
- Statistical information held by the government, population records or employee absence records within an organisation are all examples of secondary data
✅ inexpensive and easily accessed
❌ variation in the quality and accuracy of the data lowering the validity
5
Q
Displaying data: summarising in a table
A
- there are various ways of representing data, one of these is in the form of a summary table
- It is important to note that when tables appear in the results section of a report they are not the raw data but instead have already been converted to descriptive statistics eg. mean or standard deviation
- It is standard practice to include a summary paragraph beneath the table explaining the results
6
Q
Displaying data: bar charts
A
- data can be represented visually using a suitable graphical display so the difference in mean values can easily be seen
- the most suitabie graph in this case is a bar chart
- bar charts are used when data is divided into categories otherwise known as discrete data
- bars are separated on a bar chart to denote that we are dealing with separate conditions
7
Q
Displaying data: scatter grams
A
- scatter grams do not depict differences but asociations between co variables
- either of the co variables occupies the x axis and the other on the y axis (it does not matter which) and each point on the graph corresponds to the X and Y position of the co variables
8
Q
Displaying data: histograms
A
- The bar touch each other which shows that the date is continuous
- The X axis is made up of equal size intervals of a single category
- The Y axis represents the frequency within each interval
9
Q
Displaying data: line graphs
A
- Line graphs also represent continuous data and use points connected by line to show how something changes in value
- The independent variable is usually plotted on the X axis of the dependent variable on the Y axis
10
Q
Negatively (left) skewed distribution
A
- where most of the distribution is concentrated towards the right leaving a long tail on the left
- A very easy test would produce this as the bulk of the scores are higher
- The mean is pulled to the left due to the extreme lower scores who are in the minority
- The mean is the lowest, then the median, then the mode is the highest.
11
Q
Positively (right) skewed distribution
A
- where most of the distribution is concentrated towards the left leaving a long tail on the right
- A very difficult test would produce this as the bulk of the scores are lower
- The mean is pulled to the right due to the extreme higher scores who are in the minority
- The mode is the lowest, then the median, then the mean is the highest.
12
Q
Normal distribution
A
- when measuring certain variables e.g. height
- the frequency should form a bell shaped curve
- Most people located in the middle area few are at the extreme ends
- Mean, median and mode all occupy the same midpoint
- never touch the X axis as theoretically more extreme scores are always possible