Week 1 Lecture 5: Fraud & Replication; Frequency Data

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Flashcards cover fraud vs. error, vaccine case study, scientific rigor, power-pose replication, replication types, frequency data and validity, measurement scales, survey question formats, Likert scales, major question-writing mistakes, and ethical scientific writing.

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46 Terms

1
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What are the two main ways false information can enter the scientific literature, even with ethics boards in place?

Straight-up fraud and unintentional errors.

2
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Why might straight-up fraud occur in science?

Because of personal beliefs, publication incentives, or financial conflicts of interest.

3
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What are typical causes of unintentional errors in research?

Sloppy or uninformed practices and simple bad luck.

4
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What safeguards help catch fraud or errors in science?

Peer review and replication.

5
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Give one consequence of scientific fraud for public trust.

It creates public distrust that can reduce acceptance of valid science (e.g., vaccine hesitancy).

6
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How contagious is measles?

Highly contagious and can lead to serious complications.

7
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Name two serious complications of measles mentioned in lecture.

Pneumonia and encephalitis.

8
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What percentage effectiveness do two doses of MMR vaccine provide against measles?

About 97% effective.

9
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Which 1998 journal article falsely linked MMR vaccine to autism?

The retracted Wakefield et al. paper in The Lancet.

10
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Despite retraction, why is the MMR–autism myth still influential?

It was highly publicized and remains strong in collective imagination.

11
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What three groups share responsibility for ensuring scientific rigor?

Researchers, the scientific field, and science consumers.

12
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List one open science practice researchers can use to promote transparency.

Pre-registering studies or sharing data and materials openly.

13
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What was the central claim of Amy Cuddy’s original power-pose study?

Two-minute high-power poses change hormones, risk taking, and feelings of power.

14
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Name one physiological variable power-pose researchers claimed was altered.

Testosterone (increase) or cortisol (decrease).

15
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What did later large-scale replications conclude about power posing?

It increases feelings of power but shows no reliable behavioral or hormonal effects.

16
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Define direct (exact) replication.

Repeating a study with the same methods to see if the results recur.

17
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Define conceptual replication.

Testing the same hypothesis with different methods or measures to assess generalizability.

18
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Why are replications important?

They inform us about reliability and generalizability of scientific effects.

19
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What type of claim is based on measuring the frequency of a single variable?

A frequency claim.

20
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Which two validities are most relevant when evaluating a frequency claim?

Construct validity and external validity.

21
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In frequency data, is the variable manipulated or measured?

Measured.

22
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What is the difference between categorical and quantitative variables?

Categorical variables have category levels; quantitative variables are coded with numbers representing amounts or ranks.

23
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Give an example of an ordinal variable.

Finishing order in a race.

24
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Give an example of an interval variable.

IQ score (equal intervals, no true zero).

25
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Give an example of a ratio variable.

Number of exam questions answered correctly (has a meaningful zero).

26
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What are open-ended survey questions?

Questions allowing respondents to answer in their own words.

27
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State one pro and one con of open-ended questions.

Pro: rich, spontaneous answers. Con: difficult to code.

28
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What are forced-choice questions?

Questions that ask respondents to select from listed answer options.

29
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State one pro and one con of forced-choice questions.

Pro: easy to code/analyze. Con: answer choices may not capture true opinions.

30
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What is a Likert scale?

A rating scale where respondents express degree of agreement with statements, typically 1 = Strongly Disagree to 5 = Strongly Agree.

31
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Why might including a neutral midpoint on a Likert scale matter?

It allows ambivalent respondents a middle choice but can encourage fence-sitting.

32
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List the five common mistakes to avoid when writing survey questions.

1) Asking about things participants can’t know or recall accurately, 2) Leading or loaded wording, 3) Double-barreled questions, 4) Double negatives, 5) Confusing or ambiguous wording.

33
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Provide an example of a leading question.

“Do you support the pro-life view that abortion is murder?”

34
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Provide an example of a double-barreled question.

“I am generally a very relaxed and reliable person.”

35
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Why are double negatives problematic in survey items?

They are confusing and prone to misinterpretation (e.g., “I am not unexcitable”).

36
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What type of measurement scale is popularity rank when students are ordered from most to least popular?

Ordinal scale.

37
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Which big validity is least relevant for simple frequency claims?

Internal validity (they do not assert causality).

38
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What is the ‘Mandela Effect’ study an example of?

Using frequency data to show shared false memories across people.

39
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What do Google Trends frequency graphs (e.g., ‘adopt a dog’ searches) illustrate?

Changes in search behavior over time for a single variable.

40
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What does the ‘dived vs. dove’ Ngram example demonstrate about frequency data?

It can reveal linguistic trends and regularization of verb forms across decades and dialects.

41
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Explain margin of error in the context of frequency claims.

A confidence interval indicating precision of an estimated percentage from a sample.

42
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What does ‘construct validity’ ask in survey research?

Whether the question truly measures the intended concept.

43
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What does ‘external validity’ ask for frequency data?

To which populations, settings, and times the estimate can generalize; depends on sample representativeness.

44
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Why must scientific writing include citations?

To give credit, avoid plagiarism, and allow readers to verify sources.

45
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How can ChatGPT be used ethically in academic work?

As a tool for idea generation or editing while always citing sources and not passing AI-generated content as entirely original work.

46
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When rewriting a poor survey question, what should be specified for a forced-choice version?

Clearly defined response options and scale labels.