Rm - Analsying Recording Snd Presenting Data Flashcards
Quantitative and qualitative data and strength and weaknesses of each
Data in form of numbers
S- easy to analyse we can easily compare results over two conditions, w- doesn’t gives us any reasoning behind data .lacks detail
Data in from of words
S- gives details. Reasoning behind results
W- difficult to analyse , we can compare results over two conditions find it hard to draw conclusions
Primary and secondary data strengths and weaknesses of each
Researcher collects data themselves
S- current reliable , controlled tailored to you
W- time consuming , biased and costly
Secondary - data collected by somebody else which you use
S- less time consuming , less bias and cheaper
W- may not be current, not reliable less control
Ordinal data and examples
Data put in order e.g. Put people in order in terms of height small to tall
Rating likely scale semantic differential scale
Nominal data and examples
Most basic type and data put into to categories e..g height small normal and tall I yes no repsonses.
Interval data -
Data that uses an standardises scale. Measuring people height in cm , temperature or score on a test
What is the mean and its advantages and disadvantages
Shows the average score of a data set add all data together divide this some by how many bits of data you have.
A- most accurate uses amount of every score.
W- influenced by outliers
What is the median
Middle number of a data set put all numbers into chronological order to find middle value
A- useful for extreme scores not affected by outliers w- time consuming does not use all data wastes it
Mode ?
Piece of data which occurs the most in a set of data
A- with reasonable sized sample it can give accurate idea of average , not influenced by extreme scores
W- wastes data tow modes are diverse don’t provide us with accurate data
Bar chart what is it and what is it used for
Height of each bar represents the frequency of each category
When you have categoric data
Histogram
Like a bar chart but but bars a re together stand start at o
Continuous data e,g weight
Scatter graph -
Used to represent relationships between data
When conducted a correlation
Pie chart
Alternative to bar chart each piece represents a category of behaviour
When continues data , divide each frequency by trial frequency
Line graph
Alternative to a histogram line connects each dot
To show how something changes over time
Range
Difference between highest value and lowest value
What is variance and how do you work it out
How spread out data is
All late mean , for each individual value subtract the mean and square result , calculate mean of those square differences
