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Sensitizing Concepts

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Sensitizing concepts and questions often evolve over the course of a research project. ... cause-effect relationships based on a specific scientific study are said to ... – PowerPoint PPT presentation

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Title: Sensitizing Concepts


1
Sensitizing Concepts
  • Concepts, ideas, notions, or questions that guide
    observations and data collection in inductive
    qualitative research and some exploratory
    quantitative research.
  • Are the starting point.  They inform the
    researcher where to look, for what to look, and
    may give him/her some idea of what they can
    expect to see.  In the latter sense, they serve
    as pseudo-hypotheses.
  • Sensitizing concepts and questions often evolve
    over the course of a research project.

2
Hypotheses
  • Hypotheses are statements about the empirical
    world that are logically derived from theory.
  • They express theory in ways that can be
    empirically observed and verified. 
  • They typically express relationships between two
    or more variables.
  • Hypotheses are statements, not questions.
  • Hypotheses need to be clear, explicit, and
    concise.

3
Developing Hypotheses
  • 1.  Indicate the independent, dependent, and
    intervening variables.
  • a.  The characteristic, attitude, pattern or
    behavior you are trying to explain is your
    dependent variable.
  • b.  The characteristics, attitudes, patterns or
    behaviors that precede and influence, affect, or
    cause change in your dependent variable are your
    independent variables.
  • c.  If the effects of the independent variables
    pass through or change depending on other
    variables, these other variables are called
    intervening variables.
  • 2.  Indicate the type of causal relationships.
  • a.    Direct.
  • b.    Indirect.
  • c.    Interaction.
  • 3.  Indicate the type of association between the
    variables.
  • a.  Positive associations.
  • b.    Negative associations.
  • c.    Curvilinear associations.
  • d.    Non-directional associations.
  • e.    No association (spuriousness).

4
Reliability - Validity
5
Types of Reliability
  • Inter-Rater or Inter-Observer ReliabilityUsed to
    assess the degree to which different
    raters/observers give consistent estimates of the
    same phenomenon.
  • Test-Retest ReliabilityUsed to assess the
    consistency of a measure from one time to
    another.
  • Parallel-Forms ReliabilityUsed to assess the
    consistency of the results of two tests
    constructed in the same way from the same content
    domain.
  • Internal Consistency ReliabilityUsed to assess
    the consistency of results across items within a
    test.

6
Validity
  • Inferences about cause-effect relationships based
    on a specific scientific study are said to
    possess external validity if they may be
    generalized from the unique and idiosyncratic
    settings, procedures and participants to other
    populations and conditions
  • Inferences are said to possess internal validity
    if a causal relation between two variables is
    properly demonstrated

7
Validity
  • Content validity refers to the extent to which a
    measure represents all facets of a given concept.
  • Face validity means it looks like it is going to
    measure what it is supposed to measure.
  • Construct validity refers to whether a scale
    measures the unobservable social construct.
  • Convergent validity shows that the assessment is
    related to what it should theoretically be
    related to
  • Discriminant validity operationalization is
    different from other operationalizations
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