CRI350H1 Lecture Notes - Lecture 5: Sampling Bias, Royal Institute Of Technology, Simple Random Sample
28 Aug 2018
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Document Summary
Research questions are testable using empirical data, deductive and inductive measurement logic. Role of alternative and null hypothesis in deductive logic. The measurement process moves from conceptualization to operationalization. Criteria for causality include empirical association, temporal order, and non-supriousness, causal argument needs a mechanism for completeness (related on. Quality of measurement can be determined by assessing reliability and validity in quantitative and qualitative research. Sampling is the process of selecting a number of individuals, objects, or observation from a larger group (the population) A sample is a subset of individuals or objects selected from the population (aka universe) and used to draw conclusions about the larger group. Two major types of sampling include probability sampling and non-probability sampling. Probability sampling: random sampling techniques in which each individual or observation has the same change of being selected. Non-probability sampling: sampling techniques in which individuals or observations are not randomly selected and do not have the same chance of selection.
