Data for quantitative analysis should, with few exceptions, be recorded using numeric codes for each variable.

One main goal of this course is not to discuss issues of data entry and checking.

If data are missing at random, then it is unlikely that this will affect your results being representative of the population.

Values on an interval scale cannot meaningfully be divided.

A missing data code cannot be used to indicate why data are missing.

Before we begin to analyse data quantitatively, we need to ensure that our data can be recorded and analysed qualitatively.

A case is defined as an individual unit for which data have been collected.

Quantitative analysis techniques don’t assist you in using statistics such as indices to enable comparisons, through establishing statistical relationships between variables.

Quantitative analysis techniques don’t assist you in interpreting your data.

You do not need to establish the highest level of precision required by your analyses.