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Research Methods in Sociology

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Title: Research Methods in Sociology


1
Research Methods in Sociology
  • Doing and Evaluating Research

2
Steps in the Research Process
3
Formulating the problem
  • Find a problem
  • Pick a general topic to study
  • Review the literature
  • Summarize previous research and identify
    important concepts
  • Concepts are mental abstractions of the social
    objects to be studied
  • Specify a research question
  • What is the relationship between the concepts?
  • Develop a hypothesis - an expectation or
    prediction derived from theory
  • Concepts are stated as variables
  • Independent (IV) - creates change or effect
  • Dependent (DV) - change or effect
  • Control - constant

4
Measurement
  • Translate abstract concepts into concrete
    variables
  • variable - characteristic or trait that can be
    measured
  • Specify the variables in the hypothesis
  • Operationally define the variables
  • Specify how concepts will be turned into
    variables to be empirically measured
  • validity - Are you measuring what you think
    youre measuring?
  • reliability - Would you get the same results if
    you repeated the measurement?

5
Population Sample
  • Determine the population and sample
  • Population - the entire group of people who are
    the focus of the research and to whom the
    findings will be generalized
  • Sample - A subset of the population that is being
    studied research participants
  • Sampling - selecting units from a population in
    order to make generalization back to the larger
    population
  • Random Sample - Based on the laws of probability
    and used to reduce bias, subjects are selected so
    that every member has an equal chance of being
    selected

6
Research Design
  • How will you collect data?
  • Experiment
  • Secondary research
  • Survey research
  • Field research

7
Research Design
  • Experimental Research
  • A systematic attempt to test a causal hypothesis
    by manipulating the independent variable
  • Use of Experimental and Control Groups
  • The experimental group is exposed to the
    independent variable (control group may receive a
    placebo)
  • Random assignment
  • To insure that the experimental and control group
    are equivalent
  • Pre-test and Post-test measurements
  • Pre-tests are used as a baseline for comparison
    while Post-tests are used to determine whether
    significant change has occurred
  • Comparison
  • Are there any differences in scores for the
    dependent variable across the two groups?

8
Research Design
  • Secondary Research
  • Data and information compiled for other purposes
    are accessed and reanalyzed
  • Survey Research
  • Uses questionnaires and interviews for data
    collection
  • Provides data for quantitative analysis
  • Field Research
  • Research conducted in the natural setting of a
    social phenomenas occurrence
  • Typically descriptive work (More theory-building
    than testing)
  • Provides data for qualitative analysis

9
Data Collection Questionnaires (survey)
  • Closed-ended
  • Respondent is provided with a pre-existing set of
    responses
  • Response choices must be mutually exclusive and
    exhaustive
  • Data is easy to summarize
  • Open-ended
  • Respondent is asked to provide his or her own
    answers
  • Provides detailed data (validity)
  • Time consuming to analyze
  • Decreased reliability

10
Example of Survey Data Use
  • Do income and race relate to who finds life
    exciting?
  • What is your hypothesis?
  • Independent variable?
  • Dependent variable?

11
Data CollectionInterviews (survey)
  • Personal Interviews
  • Pros
  • Better quality results
  • Response rates nearly 95
  • Expensive and time-consuming
  • Cons
  • Expensive to conduct
  • Potential of interviewer bias
  • Possibility that the interviewee may withhold
    information
  • Telephone Interviews
  • Pros
  • Swift data collection
  • Broad geographical coverage
  • Cheaper to conduct
  • Cons
  • Interviewee impatience
  • Cannot use visual aids or pick up on visual cues
  • Unable to control factors that may distract the
    interviewee

12
Data CollectionParticipant Observation (field)
  • Participant-observer role
  • Researcher observes phenomenon in its setting,
    but does not directly participate
  • Informs that research is being conducted
  • Less deceptive and fewer ethical dilemmas
  • Possibility that researcher may influence
    behavior of those he or she studies
  • Complete participant role
  • Researcher engages directly in the phenomenon
    they are studying
  • Does not inform that research is being done
  • Can be emotionally and fiscally costly
  • Many ethical dilemmas

13
Data CollectionSecondary data sources/archives
  • Very popular form of data collection
  • Relatively inexpensive
  • Broad coverage
  • Commonly used secondary data sources
  • The United States Census (www.census.gov)
  • The General Social Survey (www.icpsr.umich.edu808
    0/GSS/homepage.htm)
  • The Uniform Crime Report (www.fbi.gov/ucr/ucr.htm)

14
Data Analysis and Interpretation
  • Choose how to analyze data
  • Quantitative analysis
  • Numerical data
  • Qualitative analysis
  • Non-numerical data
  • Summarize and interpret
  • Decide to retain or reject hypothesis

15
Commonly Used Statistics for Analysis and
Interpretation
16
Measures of Central Tendency
  • The mean is commonly called the average
  • It can be greatly influenced by extreme scores
    also called outliers
  • The median is the middle of a distribution
  • The median is less sensitive to extreme scores
    than the mean and this makes it a better measure
    of central tendency.
  • The mode is the most frequently occurring score
    in a distribution
  • The mode is subject to sample fluctuations and is
    therefore not recommended for use as the single
    measure of central tendency

17
Measures of Variation
  • Range
  • Simply the difference between the largest and
    smallest values in scores for the study
    population
  • Tells little about the variation in scores
    because it only consists of two values
  • Standard Deviation
  • More useful measure of variation since it
    measures the average distance of each score from
    the mean
  • Tells how tightly the scores on a variable are
    clustered around the mean
  • One standard deviation away from the mean in
    either direction accounts for 68 percent of the
    scores
  • Two standard deviations away from the mean
    account for 95 percent of the scores
  • Three standard deviations account for 99 percent
    of the scores

18
Measure of Association
  • Pearsons Correlation Coefficient (r)
  • Used to determine both the strength and the
    direction of a linear relationship
  • It takes on values from -1 to 1
  • The further from 0, the stronger the relationship
    between two variables
  • Whether the score is positive or negative
    indicates the direction of the relationship
    between two variables
  • Negative relationships mean the variables move in
    opposite directions while positive relationships
    mean the variables move together

19
Always remember.
  • Correlation DOES NOT prove causation!
  • Ice cream sales increase as electricity usage
    increasesdoes this mean that eating more ice
    cream causes people to use more electricity or
    vice versa?
  • An important goal for sociologists is to
    determine causality, but it is a difficult one to
    realize.

20
Determining Cause and Effect
  • Time Order
  • The cause must precede the effect in time.
  • Correlation
  • A statistically significant association must
    exist.
  • Elimination of Confounds
  • The association must not be due to a third
    variable.
  • If a third variable is found to be the source of
    change, the initial relationship is determined to
    be spurious.
  • Theory
  • Logical link explaining the relationship

21
Evaluation of Results
  • Consider the importance of research for theory
    and any applied possibilities
  • Does your research support an existing theory?
  • Does it suggest the need for reformulating a
    theory?
  • What further research should be done?
  • What policy implications does your research have?
  • Prepare a formal report
  • To share with the social science community and
    general public

22
ASA Code of Ethics
  • Disclose research findings in full and include
    all possible interpretations of the data.
  • Safeguard the participants right to privacy and
    dignity while protecting them from harm.
  • Protect confidential information provided by
    participants.
  • Acknowledge research collaboration and disclose
    all financial support.
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