W3: Replication Crisis, Sampling Baises Flashcards

1
Q

What is the ‘replication crisis’?

A

A phenomenon where many scientific studies cannot be replicated, raising concerns about the validity of research findings.

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2
Q

What percentage of studies replicated similar results in the replication crisis?

A

Between 40% and 50% of studies replicated similar results.

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3
Q

What was observed about the strength of effects in replicated studies?

A

The strength of the effects was generally smaller in the repeated tests.

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4
Q

What are two major method problems contributing to the replication crisis?

A
  1. No Replication
  2. No Continuity
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5
Q

What are some examples of Questionable Research Practices (QRPs) related to replication?

A
  1. Fraud
  2. Mistakes
  3. P-Hacking
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6
Q

What is p-hacking?

A

The practice of trying different options in data, method, or analysis until achieving a significant p-value.

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7
Q

What does the term ‘HARKing’ refer to?

A

Hypothesizing After the Results are Known; presenting exploratory findings as if they were hypothesized beforehand.

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8
Q

What is the ‘File-Drawer Problem’?

A

The tendency for researchers to not publish non-significant results, leading to a biased representation of research findings.

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9
Q

What is ‘pre-registration’ in research?

A

The process of planning and documenting the hypothesis, method, and analyses before collecting data.

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10
Q

What are the advantages of pre-registration?

A
  1. Extra planning with a checklist
  2. Evidence against p-hacking or HARKing
  3. Easier tracking of changes to the study
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11
Q

What is ‘open and transparent science’?

A

Making materials, data, and publications available for free public access.

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12
Q

Fill in the blank: Pre-registration and open/transparent science help reduce ______.

A

[Questionable Research Practices (QRPs)]

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13
Q

What does open science fulfill in terms of research ethics?

A

It facilitates replication and continuity in scientific research.

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14
Q

True or False: The replication crisis only affects psychology research.

A

False

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15
Q

What is meant by ‘no continuity’ in research?

A

The disruption of continuity in research results due to questionable practices.

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16
Q

What is the purpose of sampling?

A

To select individuals or groups representing the whole population.

17
Q

What are the four main sampling strategies?

A

Probability/Random Sampling – Equal chance for all.

Stratified Sampling – Divide population into groups, then sample.

Purposive/Targeted Sampling – Specific individuals selected.

Convenience Sampling – Uses readily available individuals.

18
Q

What is the purpose of sampling?

A

To select individuals or groups representing the whole population.

19
Q

Probability/Random Sampling

A

Equal chance for all.

20
Q

Stratified Sampling

A

Divide population into groups then sample.

21
Q

Purposive/Targeted Sampling

A

Specific individuals selected.

22
Q

Convenience Sampling

A

Uses readily available individuals.

23
Q

What are common questions when considering sampling bias?

A

Who are we studying?
Who sees or agrees to participate?
Who completes or stays in the study?
Who are we not studying?

24
Q

How can you use distributions to assess your sample?

A

By visualizing data distributions (e.g. negative or positive skew) to understand sample characteristics and biases.

25
Q

Why is visualizing data important in sampling?

A

It provides insights into sample characteristics, biases, and the phenomenon studied.

26
Q

What does “WEIRD populations” refer to?

A

Western, Educated, Industrialized, Rich, and Democratic populations.

27
Q

How can sampling strategies be compared to recipes?

A

Sampling strategies are like choosing ingredients—know who/what is included and excluded.

28
Q

What is a disadvantage of random sampling?

A

It may not perfectly represent subgroups within the population.

29
Q

What is an example of using convenience sampling appropriately?

A

When studying phenomena relevant to a specific, easily available group.

30
Q

What error might Instagram have made by surveying after showing ads?

A

Sampling bias—surveying only current users may exclude those who quit due to ads.