Lecture 2- Data processing and coding

Question 1

what is data coding

Answer 1

converting text into numerical form so it can be analysed

Question 2

what is a quantitative variable?

Answer 2

Numeric/ continuous

choice of scale and level of precision

Question 3

what is a qualitative variable?

Answer 3

Catergorical

-use unique integer values

Question 4

what are missing values traditionally defined as?

Answer 4

.

Question 5

what should you inspect your dataset for?

Answer 5

1. Clear mistakes –>coding/recording/ data entry mistakes
2. Outliers–>extreme but plausible values
3. Distribution of data –> looking for skewness
4. prevalence of missing values for each variable

Question 6

What would a range check identify?

Answer 6

Clear mistakes and outliers

through –>frequency table / histogram / line plot

Question 7

how could you perform a consistency check?

Answer 7

cross-tabs/ scatter plot