Lecture 4- Experimental Designs Flashcards

1
Q

What is an experimental research design?

A
  • Contains one or more factor that is manipulated or controlled (independent variable, IV)
  • Contains one or more factor that is measured or observed (dependent variable, DV)
  • Ideally, this design establishes that the IV is the cause of the DV
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2
Q

What is a quasi-experiment?

A
  • IV and participants are not randomly assigned
  • Weaker evidence for casual conclusions
  • Manipulate the IV, but can’t/don’t randomly assign participants to groups or conditions
  • More susceptible to threats to internal and external validity
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3
Q

What is a factorial design?

A
  • May include both true and quasi-experimental components
  • Consider a true experiment if even 1 IV meets criteria, but strong causal evidence only for the true manipulation
  • Multiple IVs examined in 1 design
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4
Q

What is a no-treatment control (posttest only: randomized treatment groups)?

A
  • Participants are randomly put into 2 groups
  • Then a treatment (X) or no treatment is applied to both groups
  • Then 2 observations are recorded for each group
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5
Q

What is an alternative treatment control (posttest only: randomized treatment groups)?

A

Similar to no-treatment control, but there are 2 different methods applied to the groups

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6
Q

What is a pretest-posttest: randomized control group design?

A
  • Participants are randomly assigned to 2 groups
  • Observation (pretest) before the treatment is introduced
  • Then observation following the treatment or no-treatment
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7
Q

What is a solomon randomized four-group design?

A

Can calculate the impact of test-retest

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8
Q

What is a nonequivalent control group design?

A
  • Compare intact groups (e.g., classrooms)

- Typically pretest-posttest

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9
Q

What are repeated measures?

A
  • AKA within subjects design
  • 2 or more measures from the same individual
  • May be experimental (e.g., group) or non-experimental (e.g., time)
  • Measurements may either occur within a particular session or across multiple sessions
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10
Q

What is counterbalancing?

A
  • Design to avoid order effects

- Randomly assign participants to a given order

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11
Q

What is a single-subject design?

A
  • AKA single case
  • Not necessarily conducted on a single participant, but the data are presented in terms of individuals rather than groups
  • Repeated measures
  • Lacks random assignment
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12
Q

What is a treatment withdrawl design?

A

AKA reversal design

A1-B-A2
- Applying a treatment and then withdrawing it

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13
Q

What is a treatment reapplication?

A

A1-B1-A2-B2

- What if the participant doesn’t return to baseline?

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14
Q

What is multiple treatment?

A

A1-B1-A2-C-A3

  • Draw conclusions about B, but note that C always appears after B (serial order confound)
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15
Q

What are multiple baselines?

A

Observe 2+ behaviors

  • One you want to treat first
  • One you will treat differently

Across participants:

  • Balance treatment orders across more than one individual
  • Deals with carryover effects
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16
Q

What is internal validity?

A

Extent to which conclusions about cause-effect relationships are accurate

17
Q

How is history a threat to internal validity?

A

Outside events that influence participants in the course of the experiment or between repeated measures of the DV

18
Q

How is maturation a threat to internal validity?

A

Participants may change in the course of the experiment or between repeated measures of the DV due to the passage of time

19
Q

How is statistical regression a threat to internal validity?

A

Participants selected may perform very poorly on a test. However, participants with extreme scores on a first measure of the DV tend to have scores closer to the mean on a second measure.

Extreme scores are more likely to occur via chance.

20
Q

How is instrumentation a threat to internal validity?

A

The reliability of the instrument used to gauge the DV or manipulate the IV may change over the course of an experiment

21
Q

How is selection a threat to internal validity?

A

Groups differ in a systematic, non-random way prior to a study

22
Q

How is mortality a threat to internal validity?

A

In the course of an experiment, some subjects may drop out before it is completed (attrition).

Particularly problematic if the reason for dropping out is non-random

23
Q

What is the Rosenthal Effect?

A

Researcher sets up expectations (intentionally or unintentionally)

24
Q

What is a single blind study?

A

Participants don’t know what group they’re in

25
Q

What is a double-blind study?

A

Participant and researcher don’t know what groups the participants are in

26
Q

What is a triple blind study?

A

Participant and researcher and person scoring the data don’t know the participant groups

27
Q

What is the placebo effect?

A

Positive effect simply due to believing you’ve received treatment

28
Q

What is the nocebo effect?

A

Negative effect simply due to believing you’ve received treatment

29
Q

What is the Hawthorne effect?

A

Behavior changes just because individuals know they are being studied