RM - Types of data Flashcards

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1
Q

What are another two main types of data apart from quantitative and qualitative which show where the data is collected/is from?

A

Primary and secondary

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2
Q

Is the dependent variable in an experiment quantitative or qualitative?

A

Quantitative

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3
Q

What type of questions collect quantitative data?

A

Closed

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4
Q

In an observational study, is a tally of behavioural categories quantitative or qualitative?

A

Quantitative

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5
Q

How can qualitative data be turned into quantitative data?

A

By placing the data in categories and then counting frequency.

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6
Q

What type of questions collect qualitative data?

A

Open

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7
Q

What are 5 bullet points describing quantitative data?

A
  • Quantity.
  • Deals with numbers.
  • Data which can be measured.
  • Psychologists develop measures of psychological variables.
  • Looking at averages and differences between groups.
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8
Q

What are 5 bullet points describing qualitative data?

A
  • Quality.
  • Deals with descriptions.
  • Data that is observed but not measured.
  • Observing people through the messages they produce and the way they act.
  • Concerned with attitudes, beliefs, fears and emotions.
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9
Q

What are the strengths of quantitative data?

A

Easy to analyse using descriptive statistics and statistical tests.
Therefore, conclusions are easily drawn.

Overall, it can produce reliable information that can be presented in a wide variety of ways.

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10
Q

What are the limitations of quantitative data?

A

Data may oversimplify reality.

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11
Q

What are the strengths of qualitative data?

A

Provide rich and detailed information about people’s experiences.
Can provide unexpected insights into thoughts and behaviour because the answers are not restricted by previous expectations.

Overall, its power lies in helping researchers tease out the underlying meaning in what people do or say.

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12
Q

What are the limitations of qualitative data?

A

The complexity makes it more difficult to analyse such data and draw conclusions.

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13
Q

Are primary and secondary data quantitative or qualitative?

A

Can be quantitative and/or qualitative.

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14
Q

What does the collection of primary data involve?

A

Designing the study, gaining ethical approval, piloting the study, recruiting and testing participants, and finally analysing the data collected and drawing conclusions.

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15
Q

What might primary data be?

A

Might be an experiment, possibly with a questionnaire and/or an observational element to measure the dependent variable.Or it could just involve a questionnaire or just an observation.

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16
Q

What would primary data be specifically related to?

A

The aims and/or hypothesis of the study.

17
Q

What data could be used as secondary data?

Example?

A

Data collected by themselves but for a different study or collected by another researcher.

For example, government statistics or data held by a hospital.

18
Q

What studies often uses secondary data?

A

A correlational study.

Review studies conducting a meta-analysis on such data.

19
Q

What are the strengths of primary data?

A

Researcher has control over data so the data collection can be designed so it fits the aims and hypothesis of the study.

Despite the limitations - it is a key aim of most psychological research studies.

20
Q

What are the limitations of primary data?

A

Very lengthy and expensive process - designing a study takes a lot of time and then time is spent recruiting participants, conducting the study and analysing the data.

21
Q

What are the strengths of secondary data?

A

Simpler and cheaper to access someone else’s data as significantly less time and equipment is needed.

Despite being ‘borrowed’ data, it plays an important role in things like review studies, meta-analyses and correlational studies.

22
Q

What are the limitations of secondary data?

A

The data may not exactly fit the needs of the study.

23
Q

What is primary data?

A

Information observed or collected directly from first-hand experience.

24
Q

What is secondary data?

A

Information used in a research study that was collected by someone else or for a purpose other than the current one. For example, published data or data collected in the past.