Research Methods 344

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Last updated 8:52 PM on 9/14/26
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62 Terms

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The Theory-Data Cycle

Theories lead researchers to pose research questions, then creating a research designed around a hypothesis

Data gives feedback on the theory, leading to support/revision.

<p>Theories lead researchers to pose <strong>research questions</strong>, then creating a research designed around a <strong>hypothesis</strong></p><p><strong>Data</strong> gives feedback on the theory, leading to support/revision.</p>
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Characteristics of good sci theories

  • Supported by data

  • Falsifiable

  • Have parsimony


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Do studies prove theories?

No - can support them, but studies do not prove theories

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Parsimony definition

The degree to which a scientific theory provides the simplest explanation of some phenomenon

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Merton’s Scientific Norms (standards of practice)

  • Universalism

  • Disinterestedness

  • Communality

  • Organized Skepticism


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Basic research

“Fundamental”/”pure” research aims to gain new knowledge about observable phenomena and facts

  • Does not aim to extrapolate or apply the data


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Translational research

“bench to bedside” - discoveries in the lab aim to produce practical applications, treatments, etc.

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Applied research

Problem-focused, specific - often uses prior knowledge and experimentation to evaluate/solve/improve existing problems

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Experience as a Source of Information

Bad - Has no comparison group, is confounded

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Example demonstrating the need for a comparison group

knowt flashcard image
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Bushman 2002 study?

Examined effect of catharsis on aggression - Good research that controlled for potential confounds, systematic comparison

  • i.e. sitting, punching bag, punching bag w/ face


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How is research probabilistic?

Findings are NOT expected to explain all cases - there may always be exceptions

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What is intuition?

Hunches, gut feelings, sixth senses

NOT reliable evidence because of biases humans are susceptible to

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Comfort affirmation bias

Tendency to be swayed by good stories

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Availability heuristic

Being persuaded by what easily comes to mind

eg. believing higher probability of shark attacks because of movies

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Present/present bias

Failing to think about what we cannot see

eg. tendency to consider real-time rewards more than larger rewards in the future, i.e. instant gratification

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Confirmation bias

Focusing on evidence supporting our existing beliefs; ignoring that which doesn’t

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Bias blind sport

Believing that oneself is not subject to being biased

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What questions to ask when encountering news in Popular Media

  • Could this be disinformation?

  • Can this be cross-checked with legitimate sources?

  • What is the context of this story?

  • Is the source politically biased?


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Types of untrustworthy vs trustworthy Sources of Info (image)

knowt flashcard image
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What are variables? What are their characteristics?

  • They change/vary from person to person - eg. factor, condition, trait

    • at least two levels

  • Constant: eg. 60% of highschoolers pursue college - doesn’t change

  • They can be measured and/or manipulated


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Measured variables are…

Observed and Recorded

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Manipulated variables are…

Controlled, Changed

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How do researchers measure variables?

The conceptual variable (eg. expression of gratitude, depression) is measured through an Operational Definition (can be directly measured, eg. surveys, score on diagnostic tests)

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What are the Three Types of Claims

  • Frequency

  • Association

  • Causal


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Frequency claims

Describes a particular rate/degree of a single variable

Involves only one measured variable

eg. “1 in 4 working students skip class due to job, college”

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Association claims

Argues that one level of a variable is associated with a particular level of another variable

Involved at least two measured variables - which are said to correlate

eg. “People with higher incomes spend less time socializing”

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Types of measured associations

Positive, Negative, Zero

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How can association be used?

We can make predictions based on them - extrapolating from evidence

  • Stronger association —> More accurate prediction

  • Positive and negative associations can predict, Zero associations cannot


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Causal claims

Argues that change of one variable is responsible for changing the other

  • Causal claims are supported by experiments

  • eg. “Social media overuse leads to anxiety”


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What else can claims be based on, if not Research?

  • Experiences

  • Intuition

  • Authority


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What are the Four Big Validities?

  • Construct validity

  • External validity

  • Statistical validity

  • Internal validity


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Construct validity

How well the operational variable of a study approximates (measures) the conceptual variable

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External validity

How well the study’s results generalize to some larger population

  • eg. random, inclusive, and representative samples; other situations/contexts


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Statistical validity

How well the data supports the conclusions made

  • eg. strength of an association, statistical significance

  • Margins of Error


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Internal validity

How likely A, rather than some other variable, is responsible for changes in B

  • i.e. Third Variable Problem


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What is special about Interrogating Causal Claims?

the Three Criteria for Causation:

  • Covariance: an association under controlled experimentation

  • Temporal precedence: study method has A come first, before B

  • Internal validity: study method ensures no plausible alternative explanations for the change in B


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Significance of the Tuskegee Study (1930s)

Illustrated 3 major violations of ethics

  • Participants were not treated respectfully (false pretenses, withholding treatment)

  • Participants were harmed (syphilis, later generations)

  • Participants were a targeted, disadvantaged social group


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Significance of the Milgram Obedience Studies

Illustrated a difficult ethical balance

  • Ethical questions about debriefing

  • How to balance risk between gain for society vs. participant wellbeing/mental


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What is the Belmont Report?

1979 document outlining core ethical principles + guidelines to Protect Human Subjects of Research

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Belmont Report Principle #1

Respect for Persons

  • People treated as autonomous agents, those w/ diminished autonomy entitled to protection

  • Application: Informed Consent Process

    • Voluntary participation free of coercion, undue influence

    • Providing information & Ensuring its comprehension


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Belmont Report Principle #2

Beneficence

  • Maximize possible benefits and minimize risks

    • Emotional/psych distress/trauma, embarrassment/shame/guilt, invasion or breach of privacy/confidentiality

  • How to mitigate risks:

    • Confidentiality, privacy, anonymity, debriefing, emphasizing voluntary participation


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Belmont Report Principle #3

Justice

  • Equitable selection and assigning of participants


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What oversees/ensures the principles of the Belmont Report?

Institutional Review Board (IRB)

  • Committee responsible for enforcing ethical research involving human participants


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Ethical Decision-making Balances (3)

  • Research risks vs. Benefits

  • Rights of individual participant vs. Societal gain

  • Free participation vs. Coercion


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What are the equivalent counterparts of the Belmont Report and IRB for Animal Resarch?

  • Animal Welfare Act (AWA)

  • Institutional Animal Care & Use Committee (IACUC)


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The Four Rs of Animal Care

  • Replacement: Avoiding using animals if possible

  • Refinement: Tuning procedures and care to reduce distress

  • Reduction: Using the fewest # of animals as possible - minimize harm

  • Rehabilitation: Post-experiment welfare - recovery


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Reasons for discrepancies exist in research data?

  • Unclear definitions of the operational definition

  • Between-evaluator biases, differences


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Common Types of Measures?

  • Self-report measure

  • Observational/behavioral measure

  • Physiological measure

No superior one - appropriate method depends on the context


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Two main scales of measurement

Categorical: i.e. nominal

Quantitative: includes ordinal, interval, and ratio scales

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Reliabilty

Are scores consistent?

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Three types of Reliability

  • Test-retest reliability

  • Interrater reliability

  • Internal reliability (Does the test measure what its supposed to?)


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Can reliability be quantified?

Yes - by the correlation coefficient r

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Validity

How accurately the method/test measures what it claims to measure

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Types of Construct Validity

  • Face validity

  • Content validity

  • Criterion validity

  • Convergent validity

  • Discriminant validity


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Face validity

The construct is obvious - looks like what is being measured

eg. low FV: “Your Favorite Meals Reveal If You’re An Introvert or Extrovert”

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Content validity

The measure contains all parts that your theory says it should contain

eg. Comprehension as a measure of all dimensions

<p>The measure contains all parts that your theory says it should contain</p><p>eg. Comprehension as a measure of all dimensions</p>
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Criterion validity

Also called “Predictive validity”

  • How well findings correlate with concrete outcomes

eg. The left has better criterion validity

<p>Also called “Predictive validity”</p><ul><li><p>How well findings correlate with concrete outcomes</p></li></ul><p>eg. The left has better criterion validity</p>
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What does using a known-groups paradigm help?

How well the experimental test measures a trait as compared to an established assessment strategy

  • eg. how well the experiment’s criteria for depression measure depression, as compared to what the BDI categorizes subjects as


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Convergent vs. Discriminant validity

Convergent: scores on the measure are related to other measures that are theoretically similar (eg. Job stress vs. Workplace burnout)

Discriminant: scores on the measure are unrelated to other measures that are theoretically different (eg. Typing speed vs. Hair color)

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Relationship between Reliability and Validity

  • Reliability is necessary, but not sufficient for validity

  • They are not the same


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Internal reliability vs. Internal validity

Internal reliability: Test measures what it claims to

Internal validity: Method used ensures no Third Variable Problem