Evaluation Of Types Of Data

Question 1

Qualitative data eval

Answer 1

Offers a researcher much more richness of detail than quantitative data. Much broader in scope, more feelings and opinions. Greater external validity, more meaningful insight into participants worldview.

Can be difficult to analyse, patterns can’t be identified. Can’t compare.

Conclusions often rely on subjective interpretations of the researcher and these may be subjective to bias.

Question 2

Quantitative data eval

Answer 2

Simple to analyse, easy to compare. More objective and less open to bias.

Much narrower in meaning and detail than qualitative data. This fails to represent ‘real life’

Question 3

Primary data eval

Answer 3

Fits the job. Authentic data obtained from the participants themselves for the purpose of a particular investigation. Specifically target info required.

Time and effort to produce data. Planning , preparation and resources.

Question 4

Secondary data eval

Answer 4

Secondary data may be inexpensive and easily accessed requiring minimal effort. When examining secondary data the researcher may find that the desired info already exists and so there is no need to conduct primary data collection.

However may be substantial variation in the quality and accuracy of data. Info may be outdated or incomplete. Content of data may not quite match the researchers needs or objectives. This may challenge the validity of any conclusions.