1 SRM (Introduction/Research design ) Flashcards

1
Q

What is research? 3 types of it.

A

Research is characterized as a systematic process involving the gathering and analysis of information. The primary goal of research is to discover, interpret, and increase knowledge in order to address questions or solve problems effectively.

a. Mode 1 - Basic/Pure/Academic Research:
- This type of research is primarily driven by curiosity and the quest for fundamental understanding. It aims to expand the existing knowledge base without an immediate or direct application. Mode 1 research is often theoretical and seeks to uncover new principles or concepts.

b. Mode 2 - Applied/Practical Research:
- Applied research is more focused on solving practical problems or addressing specific issues. It involves the application of existing knowledge to develop practical solutions or innovations. The emphasis in Mode 2 research is on the direct relevance and applicability of findings in real-world situations.

c. Mode 3 - Appreciation of Current and Future Human Condition:
- Mode 3 research is characterized by its focus on understanding and appreciating the current and future human condition. It involves interdisciplinary approaches and collaboration between researchers, policymakers, and practitioners to address complex societal challenges. This mode often integrates perspectives from various disciplines to provide holistic insights.

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2
Q

Thesis structure

A

Title page
Summary
Table of contents
List of figures
List of tables
Introduction
Chapter 1 - Dependent variable (definition and variation; relevance of the variation; alternative explanations of the variation)
Chapter 2 - Theoretical Framework (Definition of variation of the independent variable; the effects of the variation in the independent variable; the logic behind the hypothesis)
Chapter 3 - Empirical research
(Sample, variable operationalization, data analysis methodology; finding)
Conclusions
Appendices

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3
Q

The voting behaviors:

A
  1. Sociological Voting Behavior:
    Explanation: Influenced by social factors such as race, gender, socioeconomic status, and religion.
    Example: A voter supporting a candidate based on shared cultural or social identity.
  2. Partisan Voting Behavior:
    Explanation: Driven by loyalty to a particular political party.
    Example: Voting for a candidate solely because they belong to the voter’s preferred political party.
  3. Retrospective Voting Behavior:
    Explanation: Based on the evaluation of a candidate’s past performance or actions.
    Example: Voting for an incumbent if satisfied with their previous term in office.
  4. Prospective Voting Behavior:
    Explanation: Based on expectations and perceptions of a candidate’s future policies and actions.
    Example: Choosing a candidate because of their proposed plans for the future.
  5. Strategic Voting Behavior:
    Explanation: Voting with the intention of influencing the outcome rather than expressing true preferences.
    Example: Voting for a candidate who is not the voter’s first choice but has a better chance of winning.
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4
Q

What to write in Introduction? What to keep in mind?

A

State topic, relevance; research questions, finish with hypothesis.
- no points, citations, visuals, subheadings, use present tense instead of future tense

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5
Q

What research strives to do?

A

-Understand the phenomena and their underlying cause, predict
the future based on the past (pure/basic research).
-Help find ways to improve policy making (applied research)

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6
Q

What research cannot do?

A

-Give comprehensive understanding of people’s behaviour and
recipes how to manipulate it
* E.g. study of drunken driving

Remove the responsibility for decision-making.
* 1987 Beecham lawsuit against a market research firm blaming its
“significant errors in forecasting” for loss of potential income.

 Accurately predict the future
* Human understanding and perception is based on projecting the
past onto the future.
* Principle of uncertainty.
* Human self-awareness 

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7
Q

What does scientific correctness include?

A

Purposiveness – a clear goal in mind – you have to
know what you’re looking for (but not what you’ll
find).
Rigour – good theoretical base & carefully
thought-out methodology, not based on hunches
and intuition.
Testability – testing hypotheses applying actual
data.
Replicability – ensure that others can get the same
results if they use the same methods & data.
Validity – how well the methods and data measure
what they claim to be measuring
Precision and confidence level – findings should
be as close to reality as possible; probability of
errors should be minimized to less than 5%.
Objectivity – conclusions are based on factual
findings and not on our preferences or values.
Generalizability – applicability of findings of this
case to other settings.
Parsimony – fewer variables explaining variance
more efficiently is preferable to a complex set of
variables that only marginally increase explained
variance

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8
Q

IN/CORRECT CONDUCT AND USE OF RESEARCH?

A

-Pseudo-research
Sugging, frugging, pugging.
Push polls (political campaigning)
Bogus surveys vs. advocacy research vs. thought leadership
(“95% children are victims of crimes”).
Justification of already made decisions or ideological positions
and shifting responsibility.
*Climate change
* “Nature vs. nurture”
*IQ studies and racism (“nation of morons”)
* Separated twins
Whose interests are being served & whose interests are being damaged?

-Confusing causality and correlation
The classic “storks and babies”
Ice-cream and murder

-Bias
Biased research design (questions, sampling, data,
analysis, interpretation).
*“Asking respondents whether they believed “the government’s
responsibility to bail out private companies with taxpayers’
dollars“ – a majority said no.
*VS. asking respondents if “investing billions to try and keep
financial institutions and markets secure” was the right thing to
do – a majority said yes.”

-Falsification (punishable) or misrepresentation of findings
(under/overstating results, concealing errors).
*Australian study of weight issues of emergency room patients
(almost 60% of “Australians who end up in emergency wards” vs.
of “750 patients in the emergency ward of the Melbourne Austin
Hospital observed over 6 months in 2008-2009” are overweight or
obese)

-Ethical dilemmas
Asch’s conformity experiment
Milgram’s 1963/5 study on obedience

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9
Q

Ethics definition and level of ethic

A

Ethics – norms for conduct that
distinguish between acceptable and
unacceptable behaviour.

Levels of ethics
 Societal
 Professional
 Individual

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10
Q

Key principles of research ethics (1978 Belmont
report)

A
  • Justice (treat equals equally; beware of exploitation of
    vulnerable populations; balance costs & benefits
    among stakeholders)
  • Beneficence (minimize social/psychological/legal hurt
    and discomfort to participants & maximize benefits)
  • Respect of persons (fundamental value of freedom/
    autonomy/ free will, privacy, dignity)

-> Ethics addresses the need to balance conflicting
interests of stakeholders in research (sponsor vs.
researcher vs. respondent vs. society)

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11
Q

Key tools of ethical behaviour towards research
participants

A

1)Voluntary participation.
2)(Reasonably) Informed consent:
 Competence (assumption that a reasonable individual will
make a correct decision if given relevant information).
 Voluntarism (consent given freely, participation by choice,
not because of social position).
 Full information (answering any inquiries; explanation of
procedures and their purpose, of expected benefits and
risks, of possibility to withdraw consent).
 Comprehension (ensure understanding of risks and
procedures).
3)Debriefing
4)No harm to participants’ rights or welfare (original focus in
medical research):
Respect for privacy:
 Sensitivity of information being given (income or intelligence
vs. age or rank).
 Setting being observed (home vs. public).
 Dissemination of information (possibility of identification).
 Anonymity (researcher cannot associate participant
with data).
 Confidentiality (only researcher can identify particular
participants, but no one else; legal issues).
5) Transparency (be upfront about conflicts of
interest, potential risks, etc.).

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12
Q

3 key criteria to assess the quality of your research
question:

A

Relevant
Feasible
Interesting

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13
Q

How to answer if research question is relevant?

A

Relevant from a practical/ policy perspective, if
relates to:
* a problem that currently exists in the real world.
* an area that a policy-maker believes needs to be improved in
their domain.

Relevant from an academic perspective, if:
* nothing is known about the topic.
* a lot is known about the topic, but the knowledge is scattered
& not integrated.
* a lot of research is done on the topic, but results are
contradictory.
* established relationships do not hold in certain situations.

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14
Q

How to answer if research question is feasible?

A

If you can answer the Q within the constraints of
your research project:
 Time and money.
 Availability of respondents/ data sources – especially
important to ensure before you start.
 Expertise of researcher.

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15
Q

Characteristics of a good research
question:

A

Is not trivial, does not ask what we already know or
what is not significant or does not make a difference.
Is not rhetorical or based on value judgments.
Indicates the target population.
Clearly identifies the variables/constructs, their
proposed relationship, what we want to know about
them.
Matches the research design.
Is answerable based on the data we plan to gather.

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16
Q

QUALITATIVE vs QUANTITATIVE
methods:

A

Quantitative – collecting data with predetermined
instruments and analyzing statistically:
Large samples, probability sampling.

 Qualitative – collecting emergent data and
focusing on words and meanings:
Respondents‘ own words rather than limited survey
Q&A options.
Small scale, purposive sampling.
Rich description, from singularities to
generalizations.

17
Q

QUALITATIVE RESEARCH type

A
  • Fieldwork
  • Interview
     From semi-structured to unstructured
     From semi-standardized to unstandardized
  • Focus groups
     Guided group discussions – some consider them to be most
    important in marketing and political communication research
  • Ethnography
     Observing a group in its natural environment for a prolonged
    period of time
     Primarily observational and interview data
    -Grounded theory
     Start with observations and continuously refine their
    categorization and explanation until you have a theory
  • History
    -Process tracing
18
Q

QUANTITATIVE RESEARCH types

A

-Survey
 Sampling is key
 Representative
 Probabilistic
 Structured interviewing
 Standardised questionnaires
- Content analysis
 Counting keywords/key phrases in a text

19
Q

The goal of both quantitative and qualitative research is Inference.

A

: The ultimate aim of both methods is to draw inferences, which means reaching conclusions that extend beyond the specific observations collected.
Elaboration:
Something Broader: Researchers aim to make generalizations or broader statements about the population or phenomenon under study based on the collected data.
Both Descriptive and Explanatory Inference: Inference in research involves not only describing what is observed but also explaining the underlying reasons or factors.

20
Q

Some of the best research projects combine qualitative and quantitative approaches:

A

Meaning: Effective research often involves using a combination of both qualitative and quantitative methods.
Elaboration: Researchers recognize that each approach brings unique strengths to the study, and combining them allows for a more comprehensive and nuanced understanding of the research question or problem.

Build their research questions from 2 parts:
Meaning: Research questions are structured to address different aspects of the phenomenon under investigation.
Elaboration:
Descriptive: One part of the research question is focused on describing the characteristics, features, or patterns of the subject.
Inferential: The other part involves drawing inferences, making generalizations from a sample to the larger population.

21
Q

Hypothesis

A

a tentative answer to the research
question; a testable prediction the researcher
makes about the expected relationships among
variables.

22
Q

Variable

A

an empirical property (characteristic or
quantity) that can take on 2 or more different
values in different situations (e.g. variable: gender,
values: male and female) (more later).

23
Q

Null hypothesis

A

Null hypothesis – there is no relationship/ no differences
between groups on a variable.
*H0:There is no significant difference between men and women
when it comes to voter turnout.

24
Q

Alternative hypothesis (Directional/Non-directional)

A

Alternative hypothesis – there is a relationship/ difference.
 Directional – predicts an expected outcome (positive or
negative change in DV after a change in IV)
*H1: The higher degree of education a person has attained, the more
tolerant s/he will be. (Positive relationship)
*H2: The greater a person’s age, the lower the level of tolerance.
(Negative/inverse relationship)
 Nondirectional – predicts that there is a relationship/
difference, but does not specify whether the direction is
positive or negative
*H3
: Men and women vote differently in elections.

25
Q

Sources of hypotheses

A
  • Deduction – from theories  literature review (most common).
  • Induction – from observations, intuition, pilot study.
26
Q

Characteristics of a proper hypothesis:

A
  • Clear – all variables have to be defined  literature review.
  • Specific – it should point out the expected relationship among the
    variables (direction – positive or negative; magnitude) and the
    conditions under which that relationship will hold  literature
    review, assumptions based on a theoretical framework.
  • Amenable to empirical testing with the available research methods
    (cannot determine whether A is 15 cm or 16 cm shorter than B
    without a ruler).
  • Value-free
27
Q

Research design

A

= a plan for how to conduct your research in
order to answer the questions and test the hypotheses.

28
Q

2 levels of research design (1st level)

A

Level 1 – framework, logic, structure of research – what
kind of evidence you need to answer the research
question; are you looking for a causal answer or a
correlational answer.
 Type of research design
 Exploratory vs. Descriptive vs. Explanatory/Causal
vs. Evaluative.
 Unit of analysis – locus problem – what/who is the subject
(perceptions? attitudes? behaviour? machines?
individuals? dyads? groups? countries?). Beware:
 The ecological fallacy (drawing inferences about
individuals from evidence about aggregate groups).
 The reductionist/ individual fallacy (drawing inference
about groups from evidence about individual behaviour

29
Q

2 levels of research design (2nd level)

A

Level 2 – mechanics, sources of data, data
collection and analysis methods – how to get the
evidence you need to answer the research
question:
Sampling strategy.
Approach to data collection.
 Special RD?
 Longitudinal vs. cross-sectional descriptive research?
Experimental RD? Action research? Case study?
Comparative case study?

 Methods and instruments of data collection
 Interviews? Survey? Mixed methods? Observation?
Content analysis?