FRHD 3070 Lecture Notes - Lecture 6: Confidence Interval, Subgroup Analysis, Stratified Sampling

• School: University of Guelph
• Department: Family Relations and Human Development
• Course: FRHD 3070
• Professor: John Dwyer

Document Summary

Stiff upper lip replaced by regular blubbing for the modern man. Men crying and blaming it on something in their eye. Father"s generation only cried 5 times in their life. Sampling approaches in which subjective judgements play a role in the selection of the sample. Sampling selection is selected based on characteristics unique to the study. Predetermined number of cases from different categories that the researcher comes up with. Interviews one person and continues asking for someone else. Focus on cases that are unusual or atypical. The cases highlight notable outcomes, failures or successes. Sampling approaches in which every member of the population has a possibility of being. Every number the researcher chooses, is done in such a way that it is random included in the same sample. Population: everyone that fits the eligibility of the criteria. Population element: every unit in that population (individual units) Sampling ratio: ratio between the sample size and the population size (100/1000 adults: sample/population)