I attended a lecture at the UC Berkeley School of Information, or iSchool. sampling sizes are important to ensure a representative statistical frame. how does this apply nowadays? units of analysis (elements, cases, participants) population selected sample actual sample sampling design diagram: population includes selected sample includes sample beware of biases of all sorts (even subtle or systemic) ensure randomness in samples and consistency in procedure however possible to reduce judgement and human influences