Data and meta analysis Flashcards

1
Q

What are the different types of data?

A

Qualitative
Quantitative
Primary
Secondary

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2
Q

Describe quantitative data

A
  • This is numerical data (as opposed to words)
  • E.g. number of words recalled
  • Data can be analysed with statistics
  • Can be easily converted to graphs etc
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3
Q

What are the advantages of quantitative data?

A
  • Easy to analyse so comparisons between groups can be made easily
  • data in numerical form tends to be more objective and less open to bias
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4
Q

What are the disadvantages of quantitative data?

A

Fails to represent real-life as it is in less detail

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5
Q

Describe qualitative data

A
  • Expressed in words (as opposed to numbers)
  • E.g. written description of thoughts/feelings opinions etc
  • Could be from, for example, open questions in a questionnaire/interview or a diary record of behaviour
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6
Q

What are the advantages of qualitative data?

A
  • greater external validity as it provides the researcher with a more meaningful insight into the ppt
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7
Q

What are the disadvantages of qualitative data?

A
  • Difficult to analyse so patterns and comparisons are hard to find
  • as a result conclusions rely on the subjective interpretations of the researcher and mahy be subject to bias
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8
Q

Describe primary data

A
  • This is original data collected by the researcher for the specific purpose of that piece of research
  • Could be from an experiment, questionnaire, observation etc
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9
Q

What are the advantages of primary data?

A
  • researchers are collecting information for the specific purposes of their study.
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10
Q

What are the disadvantages of primary data?

A
  • Time consuming as conducting an experiment requires planning + preparation.
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11
Q

Describe secondary data

A
  • Collected by someone other than the researcher
  • Already exists before the researcher started this piece of research
  • Could be in journal articles, books, websites etc.
  • An example would be government statistics
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12
Q

What are the advantages of secondary data?

A
  • inexpensive and easily accessed
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13
Q

What are the disadvantages of secondary data?

A
  • information may be outdated or incomplete
  • the content of the data may not match the researcher’s needs or objective which may challenge the validity
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14
Q

Describe meta analysis

A
  • This method uses secondary data
  • Data from a large number of studies which have involved the same research questions and methods of research are combined
  • May do a qualitative analysis where they discuss the findings/conclusions
  • May do a quantitative analysis and do a statistical analysis of the combined results to see the effect size i.e. the difference or relationship between variables across a number of studies
  • One example of a meta analysis is the Van IJzendoorn key study from the cultural variations in attachment section from the Attachment topic (paper1).
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