Methods 3 Flashcards

1
Q

4 ways X & Y can be correlated

A
  1. X may be causing Y
  2. Y may be causing X
  3. Some underlying variable Z may be causing both X and Y
  4. X may be causing Q which causes Y (Q is the mediator)
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2
Q

Definition of Experiment

A

A study in which an intervention is deliberately introduced to observe its effect

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3
Q

What are independent variables in consumer behavior

A

The marketing mix elements

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4
Q

What are the dependent variables in consumer behavior

A

Market outcome/behavior

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5
Q

4 types of independent variables

A
  1. Manipulated variables
  2. Treatment variables
  3. Intervention
  4. Factor
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6
Q

2 types of dependent variables

A
  1. Effect
  2. Outcome
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7
Q

3 necessary factors for Causality

A
  1. Correlation
  2. Temporal Antecedence
  3. No third alternative factor driving both
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8
Q

Definition of Random Assignment

A

Creates two or more groups of units that are probabilistically similar to each other on the average

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9
Q

Definition of Within-Subject Design

A

People are not divided by the conditions but see both conditions concurrently
-> Does not require a random assignment

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10
Q

Definition of Between-Subject Design

A

People in each condition group only see their condition

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11
Q

Pros & cons of Within-Subject Design

A

Pros
1. Can isolate individual differences
2. Requires fewer participants

Cons
1. Learning/carry-over effect
2. Fatigue effect

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12
Q

Pros & cons of Between-Subject Design

A

Pros
1. Each individual measurement is independent
2. Not influenced by learning or fatigue effects

Cons
1. Need larger number of participants
2. Individual differences/environment variables

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13
Q

Definition of Internal Validity

A

The ability of an experiment to show a causal relationship between IV & DV

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14
Q

Definition of External Validity

A

The applicability of experimental results to situations external to the actual experimental context

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15
Q

4 types of threats to Internal Validity

A
  1. Selection
    -> Non-equivalent groups
  2. History
    -> Effect of time on environments
  3. Maturation
    -> Effect of time on subjects
  4. Testing/Practice effect
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16
Q

4 considerations for External Validity

A
  1. Units
    -> Populations
  2. Treatment
    -> Kinds of manipulation or intervention
  3. Observations
    -> Outcome measures used
  4. Settings
    -> Location and time
17
Q

Why would you conduct a Factorial Design?

A

To test for interactions

18
Q

Definition of Factors in a Factorial Design

A

Independent variable

19
Q

Definition of Levels in a Factorial Design

A

How much I changed the variable (or different manipulations of a factor)

20
Q

Definition of Main Effect

A

Ignores the secondary effect and focuses on the main factor’s effect on DV

21
Q

Definition of Interaction

A

Does Factor A affect the effect of Factor B? (and vice versa)
-> There should be only one interaction between Factor A and Factor B