CCT208H5 Lecture Notes - Lecture 3: University Of Toronto Mississauga
22 Sep 2017
School
Department
Course
Professor
Document Summary
Before you can question numbers, you have to understand where they come for. understanding the selection strategy helps to question the generalizability of the results. There are two types of selection strategies (probability and non-probability). Every person has equal chance of being selected. Problem: very hard to obtain a list in a population or list of interests. Random digital dial - answer the survey questions through the phone. Example: 45,000 people and you want to select every 100 person. Ie. for every 100th person in university of toronto, you"ll gather specific information for this specific research. You want to select people from a group of university students and there could be chances of pulling individuals who majority are in the same group (ie. mostly first years) Stratified random sampling can be used to split the students by their years (first, second, third, fourth and beyond) so researchers can choose an equal amount of students from each groups.
