types of data

Question 1

qualitative data

Answer 1

Expressed in words, non-numerical.

Question 2

quantitative data

Answer 2

expressed numerically rather than in words

Question 3

primary data

Answer 3

First-hand from participants, collected specifically for the purposes of the research

Question 4

secondary data

Answer 4

Data collected by someone other than the person doing the research, already exists before the investigation begins.

Question 5

meta-analysis

Answer 5

A number of research studies that have investigated the same area are reviewed.

Question 6

effect size

Answer 6

Overall statistical measure of relationship across variables in a meta-analysis.

Question 7

evaluation qualitative

Answer 7

+ richness in detail that quantity. broader in scope, gives ppt opportunity to fully report thoughts.
greater external validity, more meaningful insight.

• difficult to analyse, not easily summarised statistically, patterns and comparisons hard to identify. rely on subjective interpretations of researcher, biased, preconceptions.

Question 8

evaluation quantitative

Answer 8

+ simple to analyse, comparisons easily drawn, less biased and objective.

• narrower in meaning and detail, fail to represent real life.

Question 9

evaluation primary

Answer 9

+ authentic, target specific information that the reasercher requires.

• requires effort and time of researcher, experiments require planning and resources.

Question 10

evaluation secondary

Answer 10

+ inexpesive and easily accessed requiring minimal effort, desired info already exists, no need for primary.

• may be substatial variation in quality and accuracy of secondary data, outdatded or incomplete, challenges validity.

Question 11

evaluation meta-analysis

Answer 11

+ create larger more varied sample, generalised results across larger populations, validity

• publication bias, researcher may not select all relevant studies, conclusions always biased only shows some relevant data.