Describing Qualitative Data Flashcards
Nominal level
Categorising and coding participants responses. E. G female or male. Extrovert or introvert. Left-handed or right handed.
Numbers or codes given to each grouping for example left-handed 1/right handed 2.
Ordinal level
Allows data to be placed in order according to rank or according to a rating scale for example participants maybe showing photographs of 10 faces and be asked to put them in rank order of attractiveness
Ordinal
Ordinal data only provides information about the order it doesn’t detail the size of the difference between the items on the scale.eg. f-scale
Interval level
This tells us the order of the scale but it also tells us about the size of the difference between the items of the scale.
Mean
Add up all the scores then divide by the number within the group
Mean
describing an average score
Inferential statistics
Statistical tests that permit conclusions to be drawn from quantitative data from research
Range
The spread of data. A measure of dispersion representing the difference between the smallest and the largest score in a data set.
Calculating the range
Taking the smallest or most value in the data set away from the largest or highest.
Caution: this only provides information about the difference between the smallest and largest it doesn’t tell us about the other scores in between them.
Variance
A measure of dispersion
How do we calculate the variance
Subtract the mean from each score and square the result. you’ve then have an average of these values I By taking the √ of the variance to standard deviation can be calculated.
Descriptive statistics
Used to describe features of a dataset for example the mean and the standard deviation
The results section of a experimental report has three key functions
- Describe the data collected using the statistics mainly presented in tables and graph form
2 to report the results of other analysis using inferential statistics which allows conclusions to be drawn
- To confirm if the report supports the hypothesis.
Semantic scale
Is scale with opposite adjectives at each end for example good …..bad, high quality….. low quality, superior….. inferior .