Slides 5 Flashcards

(29 cards)

1
Q

what is the gold standard in psychology experimental designs

A

random selection

  • every individual I that population has the same chance to be selected to participate in that research study
  • improves external validity
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2
Q

why isn’t true random selection performed often if its the gold standard?

A

rarely feasible unless the population is very narrowly defined

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3
Q

when using convenience samples, what should the investigator do?

A

the investigator should evaluate and at least discuss whether unique features of the sample contributed to the results

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4
Q

what is equivalence of groups in a study dependant on? why?

A

N

  • even if participants are randomly assigned groups, if your sample is very small, say 10, it could be that by chance one group is different than the other
  • also: in small groups, there isn’t enough power there to determine if your groups are significantly different, so really, you’re in the dark
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5
Q

what to do to make sure groups are equivalent if sample of participants for study is small

A

match participants

  • guarantees equivalence on key variables
  • of course have to be cautious with this bc sometimes you may think you’re matching participants when in fact you aren’t
    ex: multiple ways to get same IQ score
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6
Q

If the midterm includes an experimental design that says its nonrandom, what is it likely to be ?

A

quasi-experimental design

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7
Q

what does R mean in experimental design notation

A

random assignment

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8
Q

what does O mean in experimental design notation

A

observation/assessment

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9
Q

what does X mean in experimental design notation

A

treatment or manioulation

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10
Q

what is this design called

R O1 X O2
R O3 O4

What are it’s strengths? Weaknesses?

A

Pretest-posttest control group design

Strengths:
is period between pretest and posttest are equivalent than many threats to interval validity are controlled for

  • allows for matching using pretest scores
  • increased power, better examination across groups
  • allows for predictors and descriptors of attrition

Weaknesses:
pretest sensitization
- did exposure to the pretest contribute to the response of the manipulation?

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11
Q

what is this design called

R X O1
R O2

What are it’s strengths? Weaknesses?

A

posttest only control group design

strengths:
pretest sensitization
- did exposure to the pretest contribute to the response of the manipulation?

weaknesses
is period between pretest and posttest are equivalent than many threats to interval validity are controlled for

  • allows for matching using pretest scores
  • increased power, better examination across groups
  • allows for predictors and descriptors of attrition
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12
Q

what is this design called

R O1 X O2
R O3 O4
R X O5
R O6

what does it do?

A

Soloman Four-group design

evaluates the effect of the pretest

  • typically only really used when we are sure that pretesting will produce problems
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13
Q

what is a factorial design

A

allows for simultaneous investigation of the effect of two or more variables

allows for testing of interactions

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14
Q

what is this design called

nonR O1 X O2
nonR O3 X O4

what does it do?

A

Quasi-experimental design

  • includes pretest, posttest, and other variations
  • doesn’t have random assignment
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15
Q

Why might an experiment have nonrandomly assigned subjects

A

subjects who are already in separate clinics, schools, or classrooms
- there is a reason they cannot be compared

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16
Q

what is this design called

R O1 XA O2 XB O3
R O4 XB O5 XA O6

what does it do?

A

crossover design

  • subjects differ only in the order they receive tx
  • design is optimal for 2 randomly assigned groups
17
Q

what happens for multiple treatments counterbalanced designs

A

in crossover deisgns, the order of treatments are counterbalanced

increased number of treatments becomes more difficult

18
Q

what is it called when an experimental design has sequences arranged where each treatment occurs in a positive only once (kind of like suduko)

A

a latin square

A B C D
B A D C
C D A B
D C B A

19
Q

what is not good about latin quare designs

A

not every treatment is proceeded and followed by every other treatmet so its possible there is an interaction between a treatments affectiveness and its order to other treatments

20
Q

What happens in a true counterbalanced design

A

there is random assignment to every possible sequence of treatments

21
Q

what are sequence effects

A

arrangement of treatments contributes to effects - like carry over effects

22
Q

what does a no treatment control group accomplish

A

helps rule of confounds

-

23
Q

how do you assign your no treatment control groups

A

randomly assign potential subjects

- cannot use drop outs as controls (they are self selected as opposed to randomly selected

24
Q

what often happens with no treatment control groups

A

may seek treatment elsewhere

they often drop out

25
what are waitlist control groups
use subjects who are waiting for treatment as a control group treatment is given after treatment is over for group 1 - must only use participants who in advance agree to remain if placed in this group, otherwise could introduce serious confounds waitlist group completes 2 rounds of pre-assessment and one of post
26
what are no contact control groups
they don't even know they are in the study - pre-test info from another sutyd or a large screening - ethical issues - subsequent test info obtained through a ruse so they don't know its related to the study
27
what are nonspecific-treatment or "attention-placebo" control groups
nonspecific factors are controlled so the specific mechanisms of change can be somewhat isolated and evaluated - control for common factors - many ethical issues - reduced faith in therapy - leads individuals to never seek real treatment - problem with withholding treatment
28
what are routine/standard treatment control groups
all receive an acceptable treatment limited attrition controls for nonspecific factors more likely to have therapist compliance
29
what are yoked control control groups
control subjects are matched with subjects to complete aspects of the protocol - issues with construct validity should drive this decision (rule out demand characteristics)