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Geography 237 Geographic Research: Methods and Issues

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Geography 237 Geographic Research: Methods and Issues Research Design (Babbie, Chapter 4) Problems and Questions Purpose(s) of Research Causal Explanations – PowerPoint PPT presentation

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Title: Geography 237 Geographic Research: Methods and Issues


1
Geography 237Geographic Research Methods and
Issues
  • Research Design
  • (Babbie, Chapter 4)
  • Problems and Questions
  • Purpose(s) of Research
  • Causal Explanations
  • Units of Analysis

2
Research Problem
  • "The formulation of a problem is often more
    essential than its solution"! (Einstein)
  • quite general
  • form of a statement
  • e.g., Worldwide, millions of children die each
    year from diarrhea.
  • e.g., Some people recycle more than others.
  • e.g., People smoke, despite general scientific
    agreement that smoking has serious negative
    health effects.
  • e.g., The trucking industry has deregulated.

3
Research Questions
  • more specific
  • some conceptual distinction
  • form of a question
  • e.g., Why do children in Grenada not receive
    simple, relatively cheap, treatments for
    diarrhea?
  • e.g., Do smokers know about the negative health
    effects of smoking? Do they believe what most
    scientists believe about negative health effects?
    If so, why do they still smoke?
  • e.g., What are the impacts of trucking
    deregulation on large, medium and small trucking
    companies?

4
Exercise
  • Out line a social research problem and some
    research questions to accompany it.
  • State some specific hypotheses.
  • e.g. the internet
  • e.g. hurricanes
  • e.g. other

5
Three Purposes of Research
  • 1) Exploration
  • topic new to researcher
  • new topic entirely
  • often idiographic explanations
  • often qualitative
  • often lack representativeness (see sampling)
  • e.g., How do people perceive the risks from
    genetically modified foods?

6
Three Purposes of Research
  • 2) Description
  • patterns of phenomena
  • precise sampling and observation
  • often quantitative
  • little or no explanation of patterns
  • what?, where?, when? and how?
  • e.g., census
  • e.g., How widespread are genetically modified
    foods?

7
Three Purposes of Research
  • 3) Explanation
  • why?
  • nomothetic or idiographic explanations
  • e.g., Why do experts and laypeople seem to
    disagree on the risks posed by genetically
    modified foods?

8
Nomothetic Causal Explanation(in the
probabilistic sense)
  • Does A cause B?
  • E.g., Does drug addiction cause crime?

9
Three Conditions forNomothetic Causal Explanation
  • Correlation
  • A is associated with B
  • Drug users are often convicted of theft.
  • Time Order
  • A precedes B
  • The thieves were drug users before they became
    thieves.
  • Nonspuriousness
  • C does not cause A and B
  • The drug user thieves are also very poor i.e.,
    being poor correlates with both.

10
Spurious Relationship
11
Unfair Criticisms of Nomothetic Causality
  • Complete causation
  • A is not the only cause of B
  • Exceptional Cases
  • B does not always occur when A happens
  • Majority of Cases
  • majority of A are not B
  • more likely is all that matters

12
Types of Causal Variables
  • Necessary
  • A must be present for B to happen
  • e.g., Geog 237 needed for Geog degree
  • e.g., female to get pregnant

13
Necessary Cause
14
Types of Causal Variables
  • Sufficient
  • B happens in presence of A
  • other As may also be sufficient
  • e.g., 82 gets you into grad school
  • best explanatory variables are both
  • often explanatory variables are neither (e.g.,
    drug use and crime)

15
Sufficient Cause
16
Units of Analysis
  • The level at which you want to make
    generalizations.
  • individuals
  • e.g., students, Canadians, hispanics
  • groups
  • e.g., families, households, census tracts
  • organizations
  • e.g., universities, banks
  • social artifacts
  • e.g., music, grades
  • usually unit individuals

17
Units of Analysis
18
Units of Analysis
10 households 12 families 4/12 33 2/10 20
19
Units of Analysis Exercise
  • What is the unit of analysis (see review chapter
    4)?
  • This paper examines variation in job title
    structures across work roles. Analyzing 3,173
    job titles in the California civil service system
    in 1985 we investigate how and why lines of work
    vary in the proliferation of job categories that
    differentiate ranks, functions, or particular
    organizational locations (Strang and Baron 1990
    479)

20
Units of Analysis Exercise
  • What is the unit of analysis (see review chapter
    4)?
  • Women watch tv more than men because they are
    likely to work fewer hours outside the home than
    men....Black people watch an average of
    approximately three-quarters of an hour more
    television per day than white people (Hughes
    1980 290)

21
Units of Analysis Exercise
  • What is the unit of analysis (see review chapter
    4)?
  • Of the 130 incorporated UW cities with more than
    100,000 inhabitants in 1960, 126 had at least two
    short-term nonproprietary general hospitals
    accredited by the American Hospital Association.
    (Turk 1980 317)

22
Dangers With Units of Analysis
  • Ecological Fallacy
  • Drawing conclusions about individuals from
    studies done on groups
  • E.g., census tracts
  • Reductionism
  • Explaining complex phenomena using a single,
    narrow set of concepts
  • E.g., sociologists vs geographers
  • But what about parsimony?

23
Temporal Considerations in Research Design
  • Cross-sectional
  • snapshot in time
  • e.g., surveys
  • Longitudinal
  • observation at different points in time
  • e.g., analysis of multiple censuses
  • Longitudinal generally produce more convincing
    findings!

24
Longitudinal Designs
  • Trend
  • Changes within a population over time
  • e.g., national censuses over time
  • Cohort
  • Follow specific subpopulations over time
  • e.g. baby boomers.
  • Panel
  • Follow the exact same group over time
  • e.g., 50 farmers from Oxford county

25
Something seem amiss?
  • The COMMIT study incorporated both cohort
  • and cross-sectional designs. In the case of
    attitude
  • measurement, cohorts of smokers and non-smokers
  • identified in the 1988 baseline survey were
    resurveyed
  • in 1989, 1991 and 1993 to determine their
  • attitudes towards smoking before, during and
    after
  • the intervention. In addition, a subset of
    respondents
  • to the 1993 final prevalence survey was asked
  • the same attitude questions. As a result, two
    approaches to examining community-level changes
  • in attitudes were possible (1) the cohort
    approach
  • involving the comparison of attitudes across the
  • three points in time and (2) the cross-sectional
  • approach comparing the 1989 cohort survey data
  • with the 1993 final prevalence survey.
  • (Taylor et al. 1998 111)

26
Research Process
(Nomothetic) Research Process
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