SOAN 2120 Lecture Notes - Descriptive Statistics, Analysis Of Variance
3 Mar 2013
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Document Summary
Things you know structure (intro, methods, results, conclusion) selling the front-end" and the back-end". How to use spss qualitative variables (cross tabs) How to use spss quant/qualitative variable (anova) recoding data. Things you may know or have left to learn . How to reference and find relevant research. Use the teaching assistant (last classes notes ) Disadvantages time consuming (create questions, sampling design, interview, coding the data, dealing with errors) Ideally you will want a large random sample: costly (time and money) Most of the work is done for you. Availability of questions (limited to questions they decided to ask their original intentions) Number two (b): data resource centre (drc) http://www. lib. uoguelph. ca/resources/drc/ Health, crime, demography, violence against women, economics, etc. 100"s of datasets (many units of analysis) Public use: suppressed information (earnings, crimes, schools) (stats canada keeps info. Access to confidential information: earnings, crime, mental health status, student loans. University of toronto, university of waterloo, mcmaster, western university.
