Research Methods Chapter 4 And 12 (Factorial Design) Flashcards

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1
Q

Explain factorial design

A

They cross two or more independent variables which results in different possible combinations

They can by that describe multiple influences on behaviour, and can show for example if one type of manipulation of an independent variable has different effects on different type of people

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2
Q

Explain main effects and interaction effects

A

The main effect is the average of each condition

The interaction effect is the difference in each condition. If it exists it is more important than a main effect

If the lines in a graph are not parallel, there is an interaction effect

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3
Q

Explain the 5 within group issues

A
  1. Weak manipulation (not strong enough manipulation) (–> use stronger effect and manipulation check)
  2. Measurement issues (insensitive measurement/ceiling effect/floor effect) (–> more sensitive measurements)
  3. Individual differences (variation in groups) (–> within group design or more subjects)
  4. Situation noise (distraction etc) (–> control as mich as possible and randomize)
  5. Measurement error (unreliable instrument) (–> more reliable instruments and more items/participants)
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4
Q

Explain a crossover and a spreading interaction

A

A crossover interaction is a interaction where the lines in each condition cross over, so “it depends” on the condition

A spreading interaction is when the lines spread apart, which means “only when”

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5
Q

Explain a crossover and a spreading interaction

A

A crossover interaction is a interaction where the lines in each condition cross over, so “it depends” on the condition

A spreading interaction is when the lines spread apart, which means “only when”

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6
Q

What does it mean that independent variables are crossed in factorial designs

A

Each condition is tested in each condition, which means the independent variables and conditions are multiplied

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7
Q

Explain a three way interaction

A

A three way interaction exists when there is difference between the two two way interactions.
It can only exist if there are 3 independent variables

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8
Q

Explain the belmont report three main principles for ethics in research

A
  1. Respect (informed consent, protection of special groups)
  2. Beneficence (Evaluation of risks and benefits)
  3. Justice (fair selection and benefits for subjects in harder conditions)
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9
Q

Explain the APAs five general principles for research

A

3 Belmont report principles

  1. Fidelity and responsibility (relationship of trust)
  2. Integrity (accuracy and honesty)
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10
Q

Explain 6 of APAs ethical standard 8

A
  1. Institutional review board (committee of control and ethics)
  2. Informed consent
  3. Deception
  4. Debriefing
  5. Research misconduct (no data fabrication or data falsification)
  6. Animal research (as few animals as possible and as less harm as possible)
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11
Q

What is a null effect

A

When the independent variable had no effect on the dependent variable.

This can be reviewed by looking at possible obscuring factors

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12
Q

Explain the two categories of obscuring factors

A
  1. Not enough between groups difference (weak manipulation, insensitive measures, ceiling and floor effects)
  2. Too much within group variablility
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13
Q

Explain the two categories of obscuring factors

A
  1. Not enough between groups difference (weak manipulation, insensitive measures, ceiling and floor effects)
  2. Too much within group variablility (measurement error, individual differences, situation noise)
    - -> better measurement, large samples and more control
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