Data Analysis
Transforming data into useful info that can be shared
How do I analyze data?
Know your RQ’s, hypothesis, and variables - 3 goals: summarize or describe variables, compare 2 or more groups of people to see if they are the same or different, and to see if two or more vairables are related to each other
Four levels of data collecting variables
Nominal, Ordinal, interval, and ratio
Nominal
categorical
Ordinal
deals with categories that have an order to them
Interval
have an order with equal distanve between ratings
Ratio
data measured on scales with an absolute zero
Descriptive statistics
involve describing your findings in an easy and understandable way
Measures of central tendency
measure that represent the “typical” number in an array of data
Frequnecy table
displays 3 of observations for each levelof a vairable
Charts
usually depict a frequnice
Measures of dispersion
measures that represent the distribution of scores in a data array; represents differences in our data
range
distace bewtween the hightest and lowest scores, computed by subtracting the lowest score from the highest score
high variance
suggests many of the scores are far away from the mean
low variance
suggests many of the scres are close to the mean
kurtosis
the sharpness of the peak of frequency - distribtuion curve
Skewness
measure of symmetry (or lack thereof)
