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Sociological Research Methods

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Field researcher goes to where the people are their natural habitat. ... 2. participant observation: researcher is directly involved in the group process. ... – PowerPoint PPT presentation

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Title: Sociological Research Methods


1
Sociological Research Methods
2
Research Methods
  • Methodology
  • A system of rules and procedures that guide
    scientific investigation research guidelines.
  • Characteristics of scientific methodology
  • 1. concerned with objectivity or exclusion of
    bias
  • 2. strict rules for admissible evidence
  • 3. careful records
  • 4. replication of findings

3
Scientific Methodology
  • Science
  • Logical systematic accumulation of knowledge
    based on direct, systematic observation.
  • Empirical evidence evidence we can verify with
    our senses and experiences.
  • Scientific assumptions
  • 1. there is order in the universe
  • 2. correlation patterns of relationships
  • 3. causation cause and effect relationships
  • 4. prediction

4
Scientific Methodology
  • Variable
  • Any characteristic that can change or have
    different levels, rates, or statuses.
  • Typical sociological variables age, sex, race,
    education, social class, etc.
  • To operationalize a variable specifying exactly
    what will be measured to indicate the variable.
  • Two types of influences among variables
  • 1. independent variable the one that causes an
    effect.
  • 2. dependent variable the one that is affected
    by another variable.

5
Scientific Methodology
  • Causation
  • When a change in the status of the independent
    variable (variable A) causes a corresponding
    change in the dependent variable (variable B),
    then there is causation, or a causal relationship
    between the two variables. (A?B Changes in A
    cause changes in B).
  • Generalizations
  • Recurrent relationships among particular
    variables allow us to make generalizations, or
    probability statements about the likelihood of
    future occurrence.

6
Scientific Methodology
  • Correlation
  • A regular relationship between 2 or more
    variables the beginning point in establishing
    causation, or cause-effect relationships.
  • High versus Low correlation.
  • High correlation is when great changes to the
    independent variable are associated with
    similarly great changes to the dependent
    variable. Low correlation is when great changes
    to the independent variable are associated with
    only minor changes in status of the dependent
    variable.
  • Positive versus Negative correlation.
  • When an increase in the independent variable is
    associated with an increase in the dependent
    variable, this is a positive correlation. When an
    increase in the independent variable is
    associated with a decrease in the dependent
    variable, then this is a negative correlation.

7
Scientific Methodology
  • Correlations may be causal or spurious.
  • Causal correlation
  • When the changes in the dependent variable are
    due to the changes in the independent variable.
  • Spurious correlation
  • When the changes in the dependent variable are
    not due to changes in the independent variable.
    Both are correlated they seem interrelated
    but it is due to some other outside variable.
  • Example Going to a hospital is correlated with
    dying, but it is a spurious correlation because
    it is a disease or injury - not the hospital -
    that causes dying.

8
Scientific Methodology
  • Controls
  • Ways of excluding the influence of outside
    variables so they do not influence the
    relationship of interest.
  • We want to look exclusively at variables A and B
    and how they relate to each other, so we need to
    control for the influence of other variables (C,
    D, E, etc)
  • We use controls to determine whether a
    correlation is causal or spurious.

9
Scientific Methodology
  • Example does smoking cause lung cancer?
  • 1. Is smoking correlated with lung cancer rates?
  • 2. If so, is this relationship causal or
    spurious?
  • To determine, we must use controls to rule out
    the influence of other variables, like workplace
    pollution, exposure to solvents, gasoline and
    other possible cancer causers. If we control for
    those other variables and examine exclusively the
    relationship between smoking and cancer, we find
    a causal relationship. Indeed, it is a relatively
    high, positive correlation. Therefore, there is a
    high probability that smoking does cause lung
    cancer.

10
Difficulties in Sociological Research
  • 1. The mere act of investigating social behavior
    may alter the very behavior being studied.
  • The Hawthorne Effect when people know they are
    being studied, they alter their behavior.
  • 2. People have emotions and moods - even
    sociologists and this affects performance.
  • 3. The origins of behavior are usually complex.
  • 4. Ethical considerations limit the types of
    research methods we use.
  • 5. Social patterns change constantly.

11
Methodology split to address these difficulties
and theoretical differences
  • Scientific Sociology adopts a quantitative
    approach, with emphasis on scientific methods,
    exclusion of bias, and statistical measurement
    techniques. This is highly precise, but dry.
  • Interpretive Sociology adopts a qualitative
    approach, with emphasis on verstehen (empathy, or
    understanding the subjective reality of the
    research subjects). This is prone to bias, but
    yields rich insights.
  • Critical Sociology, related to Karl Marx, is a
    qualitative method that focuses on ethical issues
    involving the need for social change where the
    researcher is also an activist. It is prone to
    bias, but yields rich insights.

12
Four Basic Research Methods
  • 1. Experiment
  • 2. Survey research
  • 3. Observational study
  • 4. Existing sources or secondary data analysis

13
1. Experiment
  • A method of investigating cause-effect
    relationships under controlled conditions. The
    idea is to study the relationship between 2
    variables while controlling for other factors.
  • Typical technique
  • 1. divide people into 2 identical groups, similar
    in all respects. One group is the experimental
    group, the other is the control group.
  • 2. Introduce the independent variable to the
    experimental group, but not the control group.
  • 3. Then, afterwards, compare these 2 groups to
    see if they are still identical. If not, it is
    probably due to the independent variable.
  • Advantages ability to use controls ability to
    perform statistical analysis.
  • Disadvantages Hawthorne effect limited to
    narrowly defined issues and smaller scale
    research.

14
2. Survey
  • Scientific survey a method of systematically
    obtaining accurate, standardized information
    about a population.
  • Survey population the total category of people
    we are interested in. This population must be
    carefully defined.
  • Census ask every member of the population very
    expensive and time consuming for large
    populations but very accurate.
  • Sample ask a small but representative group
    pulled from the survey population. This is more
    efficient, but less accurate.
  • Sample size
  • 100-3000 is the typical size for a simple survey.
    Above 3000 is overkill, and below 100 is too
    small to make generalizations.

15
2. Survey, cont
  • Representative sample
  • Individuals are selected in such a way as to
    accurately represent the population.
  • Allows generalization to the entire survey
    population.
  • Individuals must be randomly selected, so that
    every single member of the population had an
    equal chance to be selected to participate.
  • Survey response rate
  • The percentage of the sample/census that agrees
    to participate. The higher the response rate the
    better.

16
2. Survey, cont
  • Survey questions
  • Must be worded to avoid bias
  • Straightforward
  • Unemotional
  • Clear or unambiguous
  • Neutrally worded
  • Balanced, not loaded questions.
  • Survey administration mail, phone, face to face

17
2. Survey, cont
  • Evaluating a survey
  • 1. Was the population clearly defined?
  • 2. If there were generalizations to the
    population, was the sample size 100 or more?
  • 3. If there were generalizations to the
    population, was it a representative sample?
  • 4. Was the response rate sufficiently high?
  • 5. Were the questions clear, fair and balanced?

18
2. Survey, cont
  • Advantages of survey method
  • Good for examining macro social forces.
  • Can do time studies to see how something is
    changing.
  • Most scientific surveys permit statistical
    analysis where we can generalize to the larger
    population.
  • Disadvantages
  • People give false information.
  • Subjects give opinions on topics they know
    nothing about.
  • It can be difficult to assure representative
    sample.

19
3. Observational Studies
  • A common research method in Interpretive and in
    Critical Sociology.
  • Takes an in-depth look at a particular group,
    event, or social process.
  • Emphasis on verstehen.
  • Lab versus Field observation
  • Lab researcher invites people to their
    laboratory.
  • Example the focus group
  • Field researcher goes to where the people are
    their natural habitat.
  • Example the case study

20
3. Observational Studies
  • Two types of observation
  • 1. detached observation researcher remains
    aloof, distant, anonymous and observes from a
    distance.
  • 2. participant observation researcher is
    directly involved in the group process.

21
3. Observational Studies
  • Advantage of observational studies
  • Yields deep insights
  • Rooted in real life situations
  • Disadvantage
  • Less precise
  • Prone to bias
  • Cannot generalize to wider populations

22
4. Existing Sources
  • Secondary data analysis involves re-examining
    data/information collected by others.
  • Census data
  • Body of sociological research and literature
  • Courthouse and other official records
  • Advantages
  • Inexpensive
  • Accessible anyone can do it.
  • Disadvantages
  • Errors in the primary data are passed on to the
    secondary data analysis

23
Ethics in Research
  • Five basic research dilemmas
  • 1. harm to participants
  • 2. invasion of privacy
  • 3. informed consent
  • 4. applications of research
  • 5. deception

24
End of Chapter 2
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