Mindmap
data analysis: kinds of data
Inhalt der Mindmap
data analysis: kinds of data
qualitative & quantitative
- qualitative
- words
- thoughts feelings & opinions
- examples
- interviews
- diary
- notes recorded from a counselling session
- quantitative
- numbers
- can be analysed statistically
- in graphs, charts
- which one is best
- depends on purpose and aim
- can use both in experiments
- qualitative
primary and secondary data
- primary
- field research
- original data
- collected specifically for the purpose of the investigation
- first hand
- examples
- questionnaire
- interview
- observation
- secondary
- collected by someone other than the researcher
- already exists
- desk research
- already had testing so significance is known
- examples
- journals
- books
- websites
- census
- employee absence records
- population records
- primary
evaluation
- qualitative
- strengths
- richness of detail
- broader scope
- develop thoughts and feelings
- greater external validity
- meaningful insight
- limitations
- difficult to analyse
- can't be summarised statistically
- can't spot patterns
- results are subjective to researcher
- researcher bias
- only look at what they want to find
- strengths
- quantitative
- limitations
- narrow scope
- may fail to represent real life
- strengths
- simple to analyse
- easy to compare
- more objective
- less open to bias
- limitations
- qualitative
evaluation
- primary
- strength
- specifically target the info that the researcher requires
- limitation
- time & effort
- planning preparation and resources
- strength
- secondary
- strength
- inexpensive
- easy to access
- minimal effort
- don't need to collect the data
- limitations
- could be bad quality and accuracy
- outdated or incomplete
- might not be exactly what the researcher needs
- strength
- primary
Informationen
- Beschreibung
- AS - Level psychology (chapter 6 - research methods ) Mindmap am data analysis: kinds of data, erstellt von Daisy U am 17/12/2015.
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- Daisy U
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