Data Handling: Types, Display of Data And Distibution Flashcards

(12 cards)

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
    βœ… more detail and broader scope so greater external validity
    ❌ difficult to analyse
    ❌ subjective interpretations
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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.
    βœ… simple to analyse
    βœ… more objective and less open to bias
    ❌ narrower in meaning and detail
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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
    βœ… authentic data that fits the purpose, specifically targeted
    ❌ time consuming and expensive
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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
    βœ… inexpensive and easily accessed
    ❌ variation in the quality and accuracy of the data lowering the validity
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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
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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
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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
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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
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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
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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.
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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.
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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
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