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Lecture

Second Lecture: Globalization & Survey Research

3 Pages
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Department
Sociology
Course Code
SOCA02H3
Professor
Mc Kinon

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Second Lecture: Survey Research & Globalization
January 20, 2011
4 main field methods
Field Method or participant observation: go out into the field
Experiments: used often by psychology, control groups & experimental group
Analysis of Statistics
Survey Research: Pioneered by sociologist, can use them in many areas, political
polling,
Survey Research
-interval data: numbers you collect actual reality, 1:1 correspondence between number
and what your measuring, age population-interval data, numbers that the researcher
records
-ordinal data: the relationship between number and what your measuring is arbitrary,
not 1:1 correspondence, Is beauty associated with success? You cant ask someone to
respond to this question in numbers, when you measure peoples attitude its different,
-both are examples of quantitative data ,
-Another type of data: nominal data (qualitative), measures qualities, a categorical
variable, naming something, cant capture categories numerically only language,
example: ethnicity, race represents nominal data because you have to use a name,
religion, politics (what is your political affiliation?)
Generalizability and Validity
Comprehensive: a good theory should be comprehensive, you should be able to apply it to
other findings, and another word for comprehensive is for generalizability-- findings
apply beyond one case,
Reliability: if you do the study several times and you get consistent results its reliable
Validity: the degree to which it measure what it intends to measure, when a variable
measures what it intends to measure,
Causality is cause and effect relationship among the variables
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Description
Second Lecture: Survey Research & Globalization January 20, 2011 4 main field methods Field Method or participant observation: go out into the field Experiments: used often by psychology, control groups & experimental group Analysis of Statistics Survey Research: Pioneered by sociologist, can use them in many areas, political polling, Survey Research -interval data: numbers you collect actual reality, 1:1 correspondence between number and what your measuring, age population-interval data, numbers that the researcher records -ordinal data: the relationship between number and what your measuring is arbitrary , not 1:1 correspondence, Is beauty associated with success? You cant ask someone to respond to this question in numbers, when you measure peoples attitude its different, -both are examples of quantitative data,
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