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Steps 45: Analyzing Data and Drawing Conclusions

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2 says little about data analysis but you'll learn a lot about it ... Good health. Youth. marijuana use and health. X. Do music lessons make better students? ... – PowerPoint PPT presentation

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Title: Steps 45: Analyzing Data and Drawing Conclusions


1
Steps 4-5 Analyzing Data and Drawing
Conclusions Special Focus on making causal
arguments
2
  • Step 5 Analyzing the Data and Drawing
    Conclusions
  • Ch. 2 says little about data analysisbut youll
    learn a lot about it through the MicroCase
    exercises
  • Univariate Analysis Three Forms of Data
    Presentation
  • GIS (Geographic Information Systems) data
    analysis and presentation. How many variables in
    maps on p. 63?

3
Drawing Conclusions
  • Description. Gives us the conceptual tools to
    see social reality more fully. E.g. present a
    typology of responses to job loss, or of ways
    organizations respond to change, etc.
  • Explanation. Most sociological theory attempts
    to identify causal interrelationships

IndependentVariable
DependentVariable
4
Criteria of Causation
1) Time Order independent variable must be an
antecedent variable 2) Correlation a necessary
but not sufficient condition 3)
Non-spuriousness ruling out alternative
explanations
5
Time Order is Not Always Obvious
Tolerance
Web Use
A finding from the 2000 General Social Survey But
which comes first?
6
  • Measuring Correlations
  • Measures of correlation measure the strength of
    the association of two or more variables
  • Correlation coefficients vary from 1.0 to 1.0
  • They must be examined for statistical
    significance
  • Positive and negative correlations can both
    indicate causal relations
  • But correlation does not always indicate
    causation

7
Nonspuriousness Is the correlation spurious?
Variable A
is not causally related to
is correlatedwith
A Third Variable
Variable B
8
What is spurious about a spurious correlation
is not the correlation. The correlation is real.
It is the causal interpretation which is
spurious.
9
Question Is this a causal relationship or a
spurious correlation?
Amount of Fire Damage
Fire Trucks
10
Some Spurious Correlations
  • hand size and shoplifting

Large Hands
X
Gender
Shoplifting
11
Some Spurious Correlations
  • marijuana use and health

Marijuana Use
X
Youth
Good health
12
Do music lessons make better students?
13
Is this correlation spurious?
Music Lessons
What variables might explain the relationship?
?
High SAT Scores
14
(No Transcript)
15
Is this correlation spurious?
Web Use
What variables might explain this relationship?
?
Tolerance
16
From Ferrante Text (p. 60)
Investing in employees human capital
Higher stock price (shareholder return)
Could this involve either a time order or
spurious correlation problem?
17
  • Generalizability
  • what is this issue about?
  • Discuss the importance of sample and response
    rate
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