Title: Explication and interpretation
1Explication and interpretation
- The essence of empiricism
2Explication
- Explication is a deductive process where you take
a general concept, refine it, determine how to
test for it and then carry out the test - Interpretation reverses the process
- Your handout is an idealized model of explication
and interpretation
Construct
Measure
Data
Concept
3Informed by literature review
- Prior studies should include their own
explication of important concepts. - Second, prior research will help assure that you
include all of the major relevant theories and
constructs in your study. - Third, the literature review will help you to
find and select appropriate measurement
instruments. - Were they successfully applied in earlier
studies? - Finally, the literature review will help you to
anticipate common problems in your research
context. - What traps did researchers fall into in the past?
4Conceptualization
- The process of defining concepts concretely and
narrowly enough to develop valid measures - Part of the reason for your literature review is
to draw out the essence of the concept - You must develop and apply rules to define what
phenomena are covered by the concept and which
ones are not - Criteria for inclusion/exclusion of cases
Concept
Construct
5Operationalization
- You must develop a strategy to generate data that
faithfully reflect the constructs - You must choose a research method
- You must develop Measures representing specific
concepts - That includes defining the nature of the
theoretical relationship in measurement terms
Construct
Measure
6Data collection
- You must carry out the research in the real world
- Things never go exactly as planned, so you have
to make choices - You try to limit/eliminate real-world noise
- Your writeup should include problems that made
your actual research deviate from the planned
research
Measure
Data
7A medieval example of explication
8Multiple concepts in a given study
- Up to now, we have only looked at a single
concept, construct, method, data relation - To test a theory, you have to have at least two
concepts with a relationship between them - So, you are probably going to be explicating
several concepts (and relationships) in the same
study, and they all will most likely need to be
measured in much the same way - May have to compromise
9Theory
Theoretical relationship
Concept 1 (cause)
Concept 2 (effect)
Proposition
Hypothesized relationship
Construct 2 (dependent variable)
Construct 1 (independent variable)
Research Hypothesis
Empirical hypothesis
Measure 1 (manipulation)
Measure 2 (pupil dilation)
Data collection and analysis
Obtained data relationship
Data 1 (Actual presentation of materials to
groups)
Data 2 (Actual computer readings)
10Exposure to chick flicks
Empathy
Leads to
Ability to understand your partners feelings
Watching Mandy Moore movies
Increases
Empathy scale
Laboratory exposure to A Walk to Remember
Higher mean score
G1 mean 7 G2 mean 6
Group 1 exposed Group 2 not exposed
Data 2 (Actual responses)