Lecture 5: Experiments Flashcards

(17 cards)

1
Q

What are two fundamental relationships in academic research?

A
  1. Main effects: IV  DV
  2. Moderations: IV  DV (Influenced by moderating variable)
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2
Q

What is meant with the main effect?

A
  • Hypothesis must include all variables and direction of the relationship
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3
Q

What are the three conditions for causality?

A
  1. Relationship between X and Y (concomitant variation)
     X and Y must be related
  2. Time order
     First X then Y
  3. Elimination of other possible causal factors
     All other possible causes held constant or controlled
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4
Q

What are the three components of experimental design?

A
  1. Independent variable is manipulated
  2. Dependent variable is measured
  3. Controlling for extraneous factors
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5
Q

Give three reasons we use multi-item scales instead of single-item scales?

A
  • Minimize error  Reliability
  • Capture complex, heterogeneous nature of construct or characteristic  Validity
  • Reveal more precisely the difference among participants
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6
Q

What are latent constructs?

A

unobservable constructs

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7
Q

On what two criteria does multiple item measurement happen?

A
  • Reliability: Results are closely related
  • Validity: They are where they should be inside the scope
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8
Q

Give 6 concrete examples of p-hacking?

A
  • Cherry picking out of multiple outcomes
  • Flexible data cleaning / outlier removal
  • Selective subgroup analysis
  • Trying multiple model specifications
  • Optional stopping / peeking at data
  • Transformations and recoding
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9
Q

How should reliability be measured?

A

Reliability should be measured with Cronbach’s alpha, where an alpha of higher than 0,7 is acceptable

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10
Q

What is meant with p-hacking?

A

practice of trying multiple analyses, variable selections, data-processing choices, or stopping rules and selectively reporting only those that produce statistically significant p-values

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11
Q

Give three reasons p-hacking is a problem?

A
  • Inflates false positive rate
  • Produces irreproducible and misleading findings
  • Wastes resources and misdirects follow-up research and policy
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12
Q

Give three ways to prevent / detect p-hacking?

A
  1. Preregistration of hypotheses, outcomes and analysis plan
  2. Report all measured outcomes, contrasts, and specifications
  3. Share data and code on Open Science Framework to allow replication and re-analysis
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12
Q

Give two benefits of probability sampling?

A
  • Reduce risk of sampling bias
  • Enhance internal and external validity
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13
Q

Give one major drawback of probability sampling?

A

not easily collected in practice

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14
Q

What is convenience sampling?

A

anyone who passes by can be selected. Researcher will use his judgment to identify who will be in the sample.

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15
Q

What are the three advantages of convenience sampling?

A

 Fast
 Free or inexpensive
 Easy to collect large and diverse samples quickly

15
Q

Give three drawbacks of convenience sampling?

A
  • Sample may be unrepresentative
  • Strong selection bias
  • Participants may be similar to researcher