Presentation on theme: "Multivariate statistical analysis Introductions and basic data analysis."— Presentation transcript:
Multivariate statistical analysis Introductions and basic data analysis
Multivariate Variate ( 變量 ) vs. variable ( 變數 ) The attributes that the researcher concerned and observed performance The attributes that the researcher could operate for the expected performance Uni-variate ( 單變量 ) vs. multi-variate ( 多變量 ) Single concerned performance Multiple concerned performance vector
Measuring Variables Measuring variables: used to describe the attitudes of specific concerned attributes Analytical variables: internal scale, ratio scale Categorical variables: nominal scale, ordinal scale ref. p.11, 表 1.2-2,-3,-4
Likert scale Quasi-interval scale 5-scale, 7-scale, (in the form of 2/3 negative scale and 2/3 positive scale around the original)
Data format Cases: the observant, the experimental subjects/objects Variables: the set of concerned attributes Observations: the collected data Observation vector: the set of all attributes retained from a specific case
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