Types of data Flashcards

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1
Q

What is quantitative data?

A

-Numerical data, that typically represents how much, how long or how many

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2
Q

What do you quantitive data, collection techniques usually gather?

A

Data in the form of individual scores from participants such as the number of words of person is able to recall in a memory experiment.

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3
Q

what normally gathers quantitative data?

A

experimental methods and self report methods using closed questions typically gather quantitative data

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4
Q

what qualitative data?

A

-non-numerical data that describes the characteristics of something and is typically in the form of descriptions, words, meanings, pictures and texts

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5
Q

what can qualitative data collection techniques include?

A

transcripts from interviews (unstructured, diary extracts, or written accounts in an instructed observation.

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6
Q

what gathers qualitative data?

A

-self report methods such as unstructured interviews and open ended questionnaires

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7
Q

what is primary data?

A

that is gathered directly from the participant themselves, and is collected specifically for the purpose of the investigation by the researcher

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8
Q

what is primary specific to?

A

The aim of the study and has not been published before

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9
Q

What is an example of primary data?

A

Data collected from an interview

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10
Q

What is secondary data?

A

that has been collected by a third-party, someone other than the person who is conducting research

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11
Q

What is secondary data not specifically for?

A

The aim of the study and is then used by the researcher

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12
Q

what can secondary data be?

A

can be collected from another piece of research, which has been published before or data that already exists before the research has began

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13
Q

what is an example of secondary data?

A

Data from journal articles, or government statistics

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14
Q

What are the differences between quantitative data and qualitative data?

A

(-quan, •qual)
-Objective (free from bias)
•Subjective
-Precise numerical measures
•Imprecise non-numerical measures
-Lacks detail
•Rich and detailed
-High in reliability - (can replicate)
•Low in reliability
-Measures specific behaviours
•Measures attitudes, opinions, beliefs
-Collected in ‘artificial’ settings
•Collected in ‘real life’ settings

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15
Q

What are the differences between primary and secondary data?

A

Gathered directly, first-hand from
participants themselves.
Previously collected by a third party.
of the current study.

Collected specifically for the purpose
Not specifically collected for the current study; data was collected for a previous study, or data that already exists.
Authentic and can be higher quality.
Quality can variety.

Time and effort, expensive.
Minimal effort, cheaper.

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16
Q

What is a meta analysis?

A

A meta-analysis is a statistical technique for combining the findings of several studies, which focus on the same research question and methods of research. Meta-analysis use secondary data.

17
Q

what are the strengths of met analysis?

A

Analysing the results from a group of studies rather than from just one study can allow more reliable conclusions to be drawn.

18
Q

what is the weakness of meta-analysis?

A

The research designs in the different studies sampled may vary considerably which means the studies are not truly comparable, this means the conclusions from a meta-analysis are not always valid.