Chapter_9_True Experiments Flashcards

(26 cards)

1
Q

Determine Causality

A
  1. Manipulation of the IV
  2. Holding all other variables in the research situation constant
  3. Controlling for individual differences among participants
    - random assignment
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2
Q

Nonspecific Treatment Effects

A

The cause of any differences between the experiment and control conditions

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3
Q

Two situations that call for multiple control or comparison conditions

A
  1. Hypothesis Testing
  2. Ruling Out Specific Alternative Explanations
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4
Q

Characteristics of a Good Manipulation

A
  1. Construct Validity
  2. Reliability
  3. Strength
  4. Salience
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5
Q

Construct Validity

A

The manipulation accurately represents the construct
- Manipulation check

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6
Q

Manipulation check

A

1.Interview research participants after data have been collected
2. Include dependent variables that assess the construct being manipulated

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7
Q

Reliability

A
  1. automating the experiment
  2. preparing detailed scripts for experimenters to follow and by rehearsing experimenters
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8
Q

Strength

A

strong manipulation
- The conditions of the independent variable are different enough to differentially affect behavior
- realism
- ethical

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9
Q

Salience

A

Noticeability or salient manipulation

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10
Q

Holding Extraneous Variables Constant

A

Assign participants to conditions of the independent variable
- e.g. gender, race, personality

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11
Q

2 Types of Between-Subjects Designs

A
  1. Simple Random Assignment
    - quasi-random assignment
  2. Matched Random Assignment
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12
Q

Matched Random Assignment

A
  • first measuring the characteristic
  • then balancing group membership on the characteristic
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13
Q

Advantages of Within-Subjects Designs

A
  1. equivalence of participants in both conditions
  2. fewer participants are required
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14
Q

The Problem of Order Effects

A
  1. Practice effects
  2. Fatigue effects
  3. Carryover effects
    - Caffeine
  4. Sensitization effects
    - Priming
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15
Q

Controlling Order Effects

A
  1. Counterbalancing the order
    - participants experience the experimental and control conditions
  2. Latin square design
    - the number of orders is equal to the number of conditions, with each condition appearing in each place in the order
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16
Q

Washout period

A

A period of time over which the effects of a condition dissipate.

17
Q

Differential order effect

A

the order creates a different amount of effect

18
Q

Multiple-Group Designs

A
  1. Quantitative independent variables
  2. Qualitative independent variables
19
Q

Quantitative independent variables

A

vary by amount
- levels = the conditions of the independent variable
1. linear relationship
1.1 positive
1.2 negative
2. curvilinear relationship

20
Q

Detecting Curvilinear Relationships

A

more than two levels of the independent variable

21
Q

Qualitative independent variables

A

vary by quality
- the conditions of the independent variable represent different types or aspects of the independent variable
- more than one control group
1) no context
2) context after the information

22
Q

post hoc analysis

A

after-the-fact
- directly compares the group means

23
Q

priori contrasts

A

prior to conducting the experiment or preplanned
- When you have specific hypotheses about differences in means

24
Q

Information Provided By Factorial Designs

A
  1. main effect
  2. interaction effect
25
Forms of Factorial Designs
1. Between- and Within-Subjects Designs 2. Manipulated and Measured Independent Variables
26
Uses for Factorial Designs
1. Testing Moderator Hypotheses 2. Detecting Order Effects 3. Blocking on Extraneous Variables