Types Of Data Flashcards
Qualitative data
Data that is expressed in words and non-numerical
Advantages of qualitative data
-offers researcher much more richness of detail than quantitative as more broader in scope and pps allowed to develop their thoughts
-high external validity as more meaningful insight
Limitations of qualitative data
-difficult to analyse as hard to summarise statistically so hard to identify trends
-conclusions often rely on subjective interpretations by researcher which may be biased, effected by researcher expectations
What is quantitative data
Data that is expressed numerically
Advantages of quantitative data
-relatively simple to analyse as can easily draw comparisons between groups and identify trends
-numerical data tends to be more objective and less open to bias
Limitations of quantitative data
-much narrower in scope and meaning= may fail to represent real life
What is primary data
Information obtained first hand by the researcher for the purpose of a research project
Advantages of primary data
Authentic data obtained from pps themselves for the purpose of a particular investigation= designed to answer specific question
Limitations of primary data
Requires time and effort to produce the data as planning preparation and resources are needed to conduct an experiment
What is secondary data
Data that has been collected by someone other than the person conducting the research, may be the work of other psychologists or government statistics
Advantage of secondary data
-inexpensive and easily accessed requiring minimal effort
Limitations of secondary data
-info may be out-dated/incomplete
-content of data may not exactly match the researcher’s needs and objectives
What is meta-analysis
Process of combining results from a number of studies on a particular topic to provide an overall view
-may involve qualitative review of conclusions/quantitative analysis of results
Advantage of meta-analysis
-results can be generalised across much larger populations
Limitations of meta-analysis
Results prone to publication bias- researcher may choose to leave out studies with negative/non-significant results