| Question | Answer |
| Strengths of Nominal Data | Easy from closed questions Large amounts of data quickly Reliable |
| Weaknesses of Nominal Data | No linear scale = unable to express degrees of response No linear scale = means cannot be assessed Can only use the model as measure of spread |
| What is Nominal Data? | Names / labels in any order No quantitative data e.g. hair colour |
| Strengths of Ordinal Data | More info than Nominal Indicates values on a scale Easy to generate from rating scales Points on linear scale = median and mode |
| Weaknesses of Ordinal Data | Gaps between points are relative = ppts may interpret scale differently Could make it invalid to compare them Gaps between points are not equal = median cannot be assessed |
| What is Ordinal Data? | Values on a scale are ordered in terms of significance / importance e.g. satisfaction scale |
| Strengths of Interval Data | Points of equal value = more informative Easy to generate from closed questions Points are linear with equal gaps = median, mode and mean Standard deviation can be used Reliable, scientific measurements |
| Weaknesses of Interval Data | Scales with no scientific measures = no absolute baseline to the scale Scoring zero could mean the scale does not measure it Could be interpreted as the ppt not demonstrating that variable at all |
| What is Interval Data? | Numerical scale where the order AND exact interval value is known e.g. celcius thermometer |