Data Analysis Flashcards
(15 cards)
Nominal Data
Category level of measurement
-discreet data
-data is separated into categories
-e.g what gender they are or grouping data according to yes/no answers etc.
Ordinal Data
-Continuous level of measurement
-Data is placed on a scale
-E.g Likert scale 1-7
Or 1st 2nd 3rd
-Data is ordered there are no set intervals between each value
-e.g distance between someone finishing 1st and 2nd can be very different between distance between person finishing 2nd and 3rd.
Interval Data
-Continuous level of measurement where units of equal measurement (equal intervals) are used
-E.g temperature 30-40 degrees is the same distance between 70-80 degrees
-No true zero as temperature can go below 0 degrees e.g -10
Ratio Data
-continuous level of measurement
-there is a true 0
-equal ratios/measurements are used
-e.g weight and speed
Nominal Strength
Easy to collect and good for qualitative data
Nominal Weakness
Limited statistical analysis
Ordinal Strength
More informative than nominal
Ordinal Weakness
Limited statistical analysis
Interval Strength
Allows for statistical analysis and more precise than nominal and ordinal data.
Interval Weakness
More challenging and time consuming to collect.
Ratio Strength
Allows for statistical analysis and more precise than nominal and ordinal data
Ratio Weakness
More challenging and time consuming to collect.
Content Analysis Definition
A way of analysing qualitative textual data. It is a method for condensing qualitative data whereby the researcher identifies the dominant subjects and messages within data. By systematically evaluating qualitative data and can be converted into quantitative data
Steps for content analysis
- Data is collected
- Become familiar with the data and identify common themes/coding units (checklist)
- Apply Coding Units
- Tally Made
