CHAPTER 4 - LECTURE NOTES
RESEARCH
DESIGN
LEARNING OBJECTIVES
Upon completion of this chapter, the student should be able to:
1. Identify the two major tasks of research design.
2. Define and illustrate the three basic purposes of research.
3. List three reasons for performing exploratory studies.
4. Contrast the idiographic
and the nomothetic models of explanation by definition and example.
5.
List and illustrate the three prerequisites for establishing causality in
nomothetic explanations.
6.
List and explain the three things that social scientists do not mean when they
speak of causal relationships.
7.
Differentiate a necessary cause from a sufficient cause by definition and
example.
8.
Define units of analysis and identify and illustrate each of the basic types.
9. Define and illustrate the
ecological fallacy.
10. Define and illustrate reductionism.
11. Compare cross-sectional and
longitudinal studies in terms of the advantages and weaknesses of each.
1.
Differentiate among the three types of longitudinal studies by definition
and example.
13. Explain how longitudinal studies may be approximated using the
cross-sectional design.
14. Depict the research
process in a diagram manner and describe the diagram.
15. Identify and describe the
basic elements of a research proposal.
Chapter Outline
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Three Purposes of Research
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The
Logic of Nomothetic Explanation
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Necessary and Sufficient Causes
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Units of Analysis
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The
Time Dimension
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How
to Design a Research Project
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The
Research Proposal
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The
Ethics of Research Design
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Quick Quiz
Three Purposes of Research
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Exploration
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To satisfy the researcher’s curiosity and desire for better understanding
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To test the feasibility of undertaking a more extensive study
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To develop the methods to be employed in any subsequent study
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Description
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Describe situations and events through scientific observation
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Explanation
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Descriptive studies answer questions of what, where, when, and how
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Explanatory studies answer questions of why
A. Exploration—oftentimes
sociologists seek to familiarize themselves with a topic that is new to them or
has not been well-studied by others.
B. Description—one
of the most important contributions sociologists make is by carefully and
systematically documenting important social phenomenon in order to understand it
better.
C. Explanation—sociologists
often seek to explain why the social world works the way it does. What causes
some particular phenomenon of interest?
The Logic of Nomothetic Explanation
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Goal: to find a few factors that can account for many of the variations in a
given phenomenon
Example: Legalization of Marijuana
Idiographic Approach
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Information from parents, teachers, clergy
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Previous experiences
Nomothetic Approach
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Political orientation
The Logic of Nomothetic Explanation
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Criteria for Nomothetic Causality -
how do we know two variables
are related to one another?
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The variables must be correlated
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Correlation – an empirical relationship between two variables such that changes
in one are associated with changes in the other, or particular attributes in one
are associated with particular attributes in the other.
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1.
Correlation—the
two variables must change in unison.
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The cause takes place before the effect
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2. Time
Order—a change in
the independent variable (the cause) must come before we observe a change in the
dependent variable (the effect).
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3.
Nonspurious—the
observed relationship between the two variables must not be due entirely to
their shared relationship to a third variable.
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The variables are nonspurious
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Spurious Relationship – a coincidental statistical correlation between two
variables shown to be caused by some third variable
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Nomothetic Causal Analysis and Hypothesis Testing
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Hypotheses are not required in nomothetic research.
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To test a hypothesis:
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Specify variables you think are related
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Specify measurement of variables
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Hypothesize correlation, strength of relationship, statistical significance
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Specify tests for spuriousness
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False Criteria for Nomothetic Causality
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Complete Causation
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Exceptional Cases
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Majority of Cases
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B. False
Criteria for Nomothetic Causality—sociologists
speak of causal relationships in a much more restricted way that is generally
used.
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1. Complete
causation—one
variable is typically not viewed as the sole cause of another variable.
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2.
Exceptional cases—a
change in the independent variable does not always have to cause a change in the
dependent variable for a causal relationship to exist, there can be exceptions.
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3. Majority
of cases—taken one
step further, causality can exist even if it does not occur in most cases; a
small percentage of cases that exhibit causality between the independent and
dependent variable can be the basis for identifying a causal relationship.
Necessary and Sufficient Causes
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A
necessary cause represents a condition that must be present for the
effect to follow.
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A
sufficient cause represents a condition that, if it is present,
guarantees the effect in question.
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Most satisfying outcome in research includes both necessary and sufficient
causes.
Unit of Analysis
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Unit of Analysis – the what or whom being studied (most often individuals in
social science research).
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Individuals versus Aggregates
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Individuals -
Most common unit of analysis for social research
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Groups
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Organizations
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Social Interactions
Unit of Analysis
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Individuals
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Students, voters, parents, children, Catholics
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Groups
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Gang members, families, married couples, friendship groups
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Organizations
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Corporations, social organizations, colleges
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Social Interactions
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Telephone calls, dances, online chat rooms, fights
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Social Artifacts
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Social Artifact – any product of social beings or their behavior.
Unit of Analysis
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Faulty Reasoning about Units of Analysis
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The Ecological Fallacy – erroneously drawing conclusions about individuals
solely from the observations of groups.
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Reductionism – a strict limitation (reduction) of the kinds of concepts to be
considered relevant to the phenomenon under study.
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Sociobiology – a paradigm based on the view that social behavior can be
explained solely in terms of genetic characteristics and behavior.
The Time Dimension
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Cross-Sectional Study – a study based on observations representing a single
point in time, a cross section of a population.
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Longitudinal Study – a study design involving the collection of data at
different points in time.
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Trend Study – a study in which a given characteristic of some population is
monitored over time.
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Cohort Study – a study in which some specific subpopulation, or cohort, is
studied over time.
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Panel Study – a study in which data are collected from the same set of people at
several points in time.
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Comparing Types of Longitudinal Studies - example: Religious Affiliation
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Trend Study – looks at shifts in religious affiliation over time.
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Cohort Study – follows shifts in religious affiliation among those born during
the Depression.
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Panel Study – follows the shifts in religious affiliation among a specific group
of people over time.
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Approximating Longitudinal Studies
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Researchers can draw approximate conclusions about longitudinal processes even
when cross-sectional data is not available.
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Imply processes over time
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Make logical inferences
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Ask
individuals to recall past behavior
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Cohort analysis
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Examples of Research Strategies
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Exploration, Description, or Explanation?
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Sources of data?
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Unit of analysis?
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Dimensions of time relevant?
How to Design a Research Project
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Define the purpose of your project – exploratory, descriptive, or explanatory?
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Specify the meanings of each concept you want to study
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Select a research method
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Determine how you will measure the results
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Determine whom or what to study
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Collect empirical data
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Process the data
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Analyze the data
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Report your findings
The Research Proposal
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Elements of a Research Proposal
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Problem or Objective
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Literature Review
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Subjects for Study
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Measurement
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Data Collection Methods
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Analysis
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Schedule
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Budget