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01 Introduction to Quantitative Methods
Transcript of 01 Introduction to Quantitative Methods
direct observations of populations
subset of population,
based on probabilities
Models and predictions
(statistics / economics)
(statistics / health)
sampling design limitations
regression towards the mean
omission of minorities
fitting the data to your opinion
Quantitative methods test...
conclusion based on
presented data only
correct measured values
measurements in appropriate units
sound method of analysis
complete conceptual model
indicators relevant to the concepts
method relevant to the context
few missing data
internally consistent data
conclusion fits data
conclusion answers question
do no harm
Clear, unambiguous, quantified hypothesis?
Correct measured values?
Measurements in appropriate units?
Sound method of analysis?
Complete conceptual model?
Indicators relevant to the concepts?
Method relevant to the context?
Few missing data?
Internally consistent data?
Conclusion fits data?
Conclusion answers question?
Conclusion based on presented data only?
No harm done?
Students will like numbers more after taking this course.
Students who sleep in class dream of statistics.
Did you hate or love the course?
0. hate 1. love
Lecturer interviews his students on course:
1. does not like much 2. sort of likes but not really
3. likes 4. loves
Lecturer need not change course since all students like it.*
*the others were expelled.
Example: QM course evaluation
Absent students and dropouts excluded from survey.
Percentage of students who like the course.