quantitative data analysis
1st stage: discriptive data analysis on spss
age, gender, etc
2nd stage: reliability test on spss
definition: to degree to which a set of variables is consistent to what it aims to measure
index: cronbach alpha (lower than 0.7 shows unsatisfactory internal consistency within the scale)
3rd stage: exploratory actor analysis (EFA) on spss
suitability check (1st stage)
sample size
the strength of the relationship between variables/items
kaiser-meyer-olkin (KMO)
use: to review how factorable the data set is
index: over 0.5, higher the better
bartett's test for sphericity
use: whether the variance-covariance is proportional to an identity matrix
sig lower than 0.5, lower the better
factor extraction (2nd stage)
use: determine the smallest number of factors to use which best represents the interrelationships among the set of variables
different methods
factor rotation (3rd stage)
use: to interpret the extracted factors and present the pattern loading understandable
methods
orthogonal factor solution
oblique factor solution
result: a rotation factor matrix, factor loading over 0.7, higher the better