Types of data Flashcards

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1
Q

What is Qualitative data?

A
  • Qualitative data is non-numerical data, such as text, video, photographs or audio recordings.
  • Collected using diary accounts or in-depth interviews. - Analysed using grounded theory or thematic analysis.
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2
Q

What is Quantitative data?

A
  • Quantitative data is info about quantities and numbers.
  • Collected in experiments
  • Analysed using measures of central tendency, stats tests etc.
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3
Q

Adv of Qualitative data

A
  • In-depth insights into the research topic
  • Looks at the cause of the research topic, as well as how often it appears.
  • Allows for contradictions in the data, which reflects real life.
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4
Q

Disadv of Qualitative data

A
  • Very costly and time-consuming

- Subjective and based on researcher’s opinion, meaning that it lacks validity/reliability

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5
Q

Adv of Quantitative data

A
  • Easy to analyse and understand
  • Objective way of analysing data
  • Easy to collect and not very time-consuming, can be done with large samples
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6
Q

Disadv of Quantitative data

A
  • Does not explain why the behaviour occurs, just measures when it occurs.
  • Large samples are needed for more accurate analysis, but can give rise to invalid samples - e.g., social desirability or demand characteristics may be present.
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7
Q

What is Primary Data?

A
  • Data gathered by the researcher themselves to investigate their research question.
  • Comes from experiments/observations etc.
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8
Q

What is Secondary Data?

A
  • Data from other sources other than the researcher that is relevant to the research question.
  • E.g., Gov. reports, internet, research reports etc.
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9
Q

Adv of Primary Data

A
  • Data collected is very specific to the research question.
  • Quality of the data will be good and will be meaningful.
  • May lead to the discovery of additional data and info during its collection.
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10
Q

Disadv of Primary Data

A
  • Very difficult and possibly time-consuming to collect primary data.
  • Expensive
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11
Q

Adv of Secondary Data

A
  • No problem with collecting data as it’s collected for you.
  • Cheaper than Primary Data.
  • Researcher doesn’t have to ensure the data is quality data, as it isn’t their data.
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12
Q

Disadv of Secondary Data

A
  • Data may not always be available on the research area.
  • May not be enough detail in secondary data for it to be helpful.
  • The data may be unrealistic or fake.
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