IB 313 Lecture Notes - Lecture 1: Statistical Parameter, Sampling Frame

• School: Quinnipiac University
• Department: International Bus
• Course: IB 313
• Professor: Advocate

Document Summary

Answers to written questions through any media delivery (paper or electronic) Respondents- people who answer an interviewer"s questions verbally or provide. Sample survey- a more formal term for a survey emphasizing that respondents" opinions presumably represent a sample of the larger target population"s opinion. Sampling error- error arising because of inadequacies of the actual respondents to represent the population of interest. Systematic error- error resulting from some imperfect aspect of the research aspect of the research design that causes respondent error or from a mistake in the execution of the research. Population parameter- refers to some true value of a phenomenon within a population. Sample bias- a persistent tendency for the results of a sample to deviate in one direction from the true value of the population parameter. Respondent error- a category of sample bias resulting from some respondent action such as lying or inaction such as not responding.