In studying
the media, various entities can be understood or put into categories based on
their properties, processes, consequences, and character. Properties can be
studied through basic data collection (surveys, statistics) or immersive engagement
(close reading, participant observation). Studying processes requires either
sequential measurement methodologies or longer-form interpretive work (protocol
analysis, interviews). Consequence is studied in a way that attempts to
establish cause and effect, and this can be done through experimentation or
participant observation. For character, populations need to be studied, and so
surveys, rhetorical criticism, and cultural studies can work to answer
questions.
Anderson Ch.
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Methodology
should be public, evidence based, and rule directed, and the studies that
result should generate public knowledge. Public knowledge is not necessarily
true, but it has passed enough standards not to be deemed false. Methodologies
are developed in response to theories; without theory, there is no way to
create a systematized method.
It is easier
to find problems if you keep current with the discipline’s research. This
should be done on a global scale, not limiting it to one’s home country. After
doing preliminary research, the problem can be refined to express its domain
and components. Methods can come at the problem from deductive (general sample
to prove a point/theory) or inductive (single case generalized).
When writing
up research, there should be a literature review (shows where in the literature
there is material missing) and a problem statement (What is/How does/Why
does/What good is?). The literature review should essentially point to the
problem statement, showing why it is necessary to answer it.
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After
establishing the problem statement, the researcher must move on to method.
Empirical methods use the observation of real practice/culture/material in
order to build arguments. It can be categorized as either descriptive,
field/life-world, or laboratory.
Metric
empiricism is concerned with the measurement and observation of variables. It
can be accomplished through observation, survey methods, and experimental
methods. In some cases, they can work in tandem with other types of research. Interpretive
empiricism is aimed at the study of human action, and it includes reconnaissant
observation (short-term), participant observation (long term), critical
ethnography, and performance ethnography.
There are
certain methods that blur the distinction between metric and interpretive
empiricism, including textual analysis, discourse analysis, cultural-critical
analysis, and dialogic analysis. These are different from mixed methods, which
include multiple methodologies from both metric and interpretive methods.
Anderson Ch.
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Data must be
accompanied with an argument because, otherwise, it is largely useless. Before
data can be used, the researcher must implicitly make several assumptions,
including what constitutes the media/our text and the nature of the
audience/public. We also make assumptions about culture (where and how it is
constituted), the way in which individuals relate to society and society to
culture, and the role or existence of agency.
Once
assumptions are taken into account, a theory must be chosen. The major
categories of theory are cognitivism (behavior is dictated from within the
individual), social action (behavior is influenced from outside forces),
psychoanalytical-semiotic (understanding, meaning, and discursive methods), and
critical issue theories (Marxism, feminism, race studies). Each area of theory
can be addressed to the psychological, sociological, or cultural level, and
furthermore, they can target topics falling into media, content, message,
audience, or performance. These theories fall into major epistemic categories
as well, including Cartesianism, modernism, and postmodernism.
Depending on
whether you are using metric or interpretive methods, the appropriate
engagement, evidence, claim, and warrants for trustworthiness are going to
differ. In metric work, evidence is characterized by measurable observations of
variable manipulation. Trustworthiness is phrased in measurements of
reliability, precision, accuracy, and validity.
For
interpretive work, evidence is based on the researcher’s coherent and resonant
narrative. Their ability to do so will be based on their degree of observation
and participation in the studied population. They must be able to link warrants
to all of their claims, demonstrating why their evidence is sufficient for the
proposition. Trustworthiness for interpretive scholars comes out of coherence,
resonance, and vraisemblance (the recognition of the narrative as plausible).
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Once
researchers have research questions, they need to be able to translate their
work into hypotheses. For each type of question (What? How? Why? So what?)
there are appropriate forms of response. Hypotheses usually appear in metric
work, using the theoretical constructs appropriate for the measures and methods
of the study. They are not nearly as common in interpretive work.
It is a good
idea to create research questions that are anchored both in the real world and
the academic, theoretical world. This helps establish warrants for the
research. Community-based research is one way to get at both types of problems.
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