Lesson 13 - Types of Data Flashcards
Quantitative Data
Involves numbers and can be measured objectively
Immediately quantifiable
Quantitative Data Includes
The DV in an experiment
Closed questions in questionnaires
Structured interviews
A tally of how many times a behavioural category is seen in an observation
Qualitative Data
Involves words and the data is based on the subjective interpretation of language
Only quantifiable if the data is put into categories and the frequency is counted
Qualitative Data Includes
Open questions in questionnaires
A transcript from an unstructured interview
Researchers describing what they see in an observation
Qualitative Data Analysis
Difficult to analyse as it relies on interpretation by researcher
Interpretation may be inaccurate, subjective or biased
May not be easy to categories/collate into a sensible number of answer types
The researcher could be left with lots of individual responses that cannot be summarised
Primary Data
Collected directly by the researcher for the purpose of the investigation
Secondary Data
Information that was collected for a purpose other than the current use
Researcher could use data collected by them but for a different study, or collected by a different researcher
When desired research already exists, there is no need to conduct more research
However, there is substantial variation in the quality and accuracy of secondary data and it can be hard for researchers to know how reliable it is
Meta Analysis
Refers to the process of combining results from a number of studies on a particular topic (secondary data) to provide an overall view
Allows us to view data with much more confidence and results can be generalised across much larger populations
However it can be prone to publication bias; researcher may choose to leave out studies with negative or insignificant results