Data analysis: Kinds of data, descriptive statistics & graphs Flashcards
qualitative data
data that is expressed in words and non-numerical
quantitative data
data that can be counted, usually given as numbers
Primary data
information that has been obtained first-hand by the researcher for the purposes if a research project. gathered directly from participants
Secondary data
information has already been collected by someone else and so pre-dates the current research project
Meta-analysis
‘Research about research’, refers to the process of combing results from a number of studies on a particular topic to provide an overall view. This may involve a qualitative review of conclusions and/or a quantitative analysis of the results producing an effect size
Descriptive statistics
the use of graphs, tables and summary statistics ti identify trends and analyse sets of data
Measures of central tendency
the general term for any measure of the average value in a set of data
Mean
the average calculated by adding up all the values in a set of data and dividing by the number of values there are
Median
the central value in a set of data when values are arranged from lowest to highest
Mode
the most frequently occurring value in a set of data
Measures of dispersion
the general term for any measure of the spread or variation in a set of scores
Range
a simple calculation of the dispersion in a set of scores which is worked out by subtracting the lowest score from the highest score and adding 1 as a mathematical correction
Standard deviation
a sophisticated measure of dispersion in a set of scores. Tells us how much scores deviated from the mean by calculating the difference between the mean and each score. All the differences are added up and divided by the number of scores. This is the variance. The SD is the square root of the variance
Scattergram
represents the strength and direction of a relationship between co-variables in a correlational analysis
Bar chart
the frequency of each variable is represented by the height of the bars