Research Methods - Types Of Data Flashcards

1
Q

What is qualitative data

A

Data expressed in words rather than numbers or statistics
Eg
Written description of feelings and opinions of participants.
Written account of what the researcher saw

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2
Q

What are research methods that collect qualitative data

A

interviews, unstructured observations, diary extracts. Qualitative methods are therefore concerned with the interpretation of language.

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3
Q

What is strength of qualitative data

A

Offers researchers more richness of detail
Much broader in scope
Gives participant the opportunity to develop their thought, feelings and opinions
Greater external validity

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4
Q

What is a limitation of qualitative data

A

Qualitative data is often difficult to analyse and arrange in categories Patterns and trends within and between data are hard to find. This means that conclusions maybe subjective.

This in turn reduces the validity and the reliability of the data collected.

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5
Q

What is quantitative data

A

Quantitative data is data expressed numerically.

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6
Q

What are the research methods that quantitative may be used in

A

experiments, closed questions from questionnaires or interviews. These methods often provide an individual score for a participant

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7
Q

What are strengths of quantitative data

A

easily converted into graphs and charts and can be statistically analysed.

relatively simple to analyse
Patterns and trends within and between data are more obvious.
Easily be sorted into categories
Conclusions more objective
Increasing validity and reliability of the data collected

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8
Q

What are limitations of quantitative data

A

Much narrower in scope and meaning
Larger sample is needed for accurate analysis
Less generalisable
No opportunity for participants to develop answers
Doesn’t represent real life

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9
Q

What is primary data

A

Refers to original data that has been collected for the purpose of the study by the researcher.
Data drives first hand from participants themselves

Eg experiments , questionnaires , interviews and observations

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10
Q

What are the strengths of primary data?

A

Has a specific purpose
Questionnaires and interviews designed to target information that is required for purpose of investigation
Increases external validity

Authentic data that can be checked
Researchers able to see whether the data is genuine and can be repeated
Increases internal validity

Current data collected. Researcher collecting first hand so reflects current time period
Increases external validity

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11
Q

What are the weaknesses of primary data

A

Requires time and effort

The researcher has to plan, prepare and resource the study. This is a limitation when compared to secondary data, which may be accessed almost immediately.

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12
Q

What is secondary data

A

refers to data that has been collected by someone else other than the researcher. It has not been collected specifically for this study. The researcher does not have any contact with the participants.

May be subject to statistical testing so significance known

Eg journal articles, books, websites

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13
Q

What are the strengths of secondary data

A

Requires little time , effort and money
Researcher doesn’t have to plan or resource study

Easily accessible
Researcher may discover all information exists

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14
Q

What are the weaknesses of secondary data

A

is not collected for a specific purpose. The study has not been designed to specifically target the information that the researcher requires.
Decreased internal validity

Data not authentic
Researcher not able check if data is genuine , isn’t aware of the procedure cannot repeat it
Decreases internal validity and reliability

Substantial variation in data may be valuable at first
May be outdated - not being collected firsthand so may not reflect current time period, may be incomplete
Decreased external validity

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15
Q

What is a meta analysis

A

Process of combining results from number of different studies of a particular topic to provide an overall view

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16
Q

What is a strength of meta analysis

A

The research has already been published in a journal for example. This means that their validity is known.

Data can be generalised to larger population
Meta analysis involves using number of pieces of research
Sample size increased
Able to generalise results more

17
Q

What is weakness of meta analysis

A

Prone to publication bias
Researcher may not select all relevant studies
Leave out those with negative or non significant results
Data - biased
Incorrect conclusions