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SOAN 3120 (35)
Lecture

Lecture: October 8th

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Department
Sociology and Anthropology
Course
SOAN 3120
Professor
Michelle Dumas
Semester
Fall

Description
SOAN 3120 Quantitative Methods                                             Tuesday, October 8 , 2013 Week 5: producing Data: Sampling  Observational studies vs Experiments  • Designs • Inference: soundness of design • Population vs sample ­ time constraints  Observational studies • Collection of data ­ The natural world  ­ Trying to see how things exist in their natural settings  • Surveys ­ Ask questions, ask set of standard demographic questions: age, race. • Inference: casual • Distribution of a variable • Example questions: what is the current unemployment rate in Canada? What is  the relationship between gender and unemployment? • How to answer? • What is practical? Random & Non random sampling • Design • Random ­ good samples are selected at random  • Non­random: ­ Voluntary Response: rely on volunteers, have very strong bias  ­ Convenience:  Bias in Study Design • Problem: differ • Bias • Example  Simple random sampling (SRS) • Possibility of being chosen ­ every person has an equal chance of being chosen  • Selecting people at random from the whole population • Practice  ­ use random numbers generated from computer to randomize the population  Procedure: SRS • Table of random digits • 1) Assign number (label) to individuals • 2) Choose at random SRS: Table B • Table B • Groups and rows • 2 Steps: ­ 1) Assign number ­ 2) Successive groups  • Line 106: 684, 173, 501, 315, 529.., Random Sampling • Independent random s
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