SOC222H5 Lecture Notes - Lecture 1: Interval Ratio, Count Data, Level Of Measurement
Document Summary
(cid:862)so(cid:272)ial statistics(cid:863) the stud(cid:455) of so(cid:272)ial phenomena using quantitative analytical principals. Everything in modern life seems like it is about trends and patterns; used to make policies, future business projections and targeted marketing. Reviewing the research process and where statisitics fit into this process. When data is taken from a sample, and being used for analysis, it is called a statistic. When you have information on a whole population, then it is called a perameter. Theory; asking research questions and formulating hypothesis. Population and sampling; when dedcifing on the size and composition of the sample (depends a lot on budget) Operationalization; when deciding on how well a set of indicators in the real world (variables) measures a concept we are interested in studying. Observations and data processing; coding the data we collect into numbers ofor storage in a computer file (ex. Analysis; deciding on an appropriate analytical technique for the data we collected, and stored as a bunch of numbers.
