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Lecture 2

SOC395H1 Lecture 2: SOC395 - 2

4 Pages
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Department
Sociology
Course Code
SOC395H1
Professor
Rachel La Touche

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SOC395 - JAN 12
Concepts and Operationalization, Measurement
Models
Inequality (Variable)
GINI and PPP
Lorenz Curve
Concept measures of inequality
p.17 the types of data
Panel vs, Cross-sectional
measures used to calculate inequality**
CONCEPTS AND OPERATIONALIZATION, MEASUREMENT
Vague idea about something that exists in the world
Agreement reality generally a majority of people can agree that this exists
ex. love something you can’t necessarily see
Concept to Measure you need operationalization
does not have to be the same for everyone, we all have our own concepts
The number of times a person uses a pet name a day
——> can be of love or weird love
*Good argument but it must valid, reliable and changeable*
Does it measure what I want it to measure?
Whether it is not measuring what we think it is measuring
Validity consistency across researchers in general test it more than once to get the
same result
Measure/Variable/Factor
Measures need to be changeable over time
MODELS
Visible representation of the relationship between things/variables
Inequality and its outcomes
Dependent on whatever comes before it
Things that cause inequality. ex. taxes have some relationship with inequality
Taxes > Inequality
IND. DEP.
Hypothesis: taxes reduces inequality
INEQUALITY (VARIABLE)
looking at inequality in a static way
——> process - changes over time
cannot account for inflation
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Description
SOC395 JAN 12 Concepts and Operationalization, Measurement Models Inequality (Variable) GINI and PPP Lorenz Curve Concept measures of inequality p.17 the types of data Panel vs, Crosssectional measures used to calculate inequality** CONCEPTS AND OPERATIONALIZATION, MEASUREMENT Vague idea about something that exists in the world Agreement reality generally a majority of people can agree that this exists ex. love something you cant necessarily see Concept to Measure you need operationalization does not have to be the same for everyone, we all have our own concepts The number of times a person uses a pet name a day > can be of love or weird love *Good argument but it must valid, reliable and changeable* Does it measure what I want it to measure? Whether it is not measuring what we think it is measuring Validity consistency across researchers in general test it more than once to get the same result MeasureVariableFactor Measures need to be changeable over time MODELS Visible representation of the relationship between thingsvariables Inequality and its outcomes Dependent on whatever comes before it Things that cause inequality. ex. taxes have some relationship with inequality Taxes > Inequality IND. DEP. Hypothesis: taxes reduces inequality INEQUALITY (VARIABLE) looking at inequality in a static way > process changes over time cannot account for inflation
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