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
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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.
    ✅ simple to analyse
    ✅ 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
    ✅ 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
    ✅ 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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