Types of experiments - randomized and quasi Flashcards

1
Q

one shot

A

-quasi
-Only one group at single point in time
-No control or comparison group
-Run an ad campaign, measure sales

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2
Q

one group pretest posttest

A

-quasi
-Only one group but tested prior to and after “treatment”
- No control or comparison group
-Measure sales, run ad campaign, measure sales again

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3
Q

static group

A

-quasi
-Comparison between one group that got a treatment and one that
hasn’t
-Measuring differences between 2 groups of people
-Exercisers, non-exercisers, dependent variable is resting heart rate

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4
Q

before and after with control

A

-randomized
-Random assignment to either experimental or control group, everyone gets a pretest, experimental starts program exercise, then measure resting heart rate again

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5
Q

solomon four group

A

-randomized
-Most robust design but harder to implement due to time and
resource constraints.
-4 groups randomly assigned – 2 groups get a pretest, 2 groups do not, 2 groups get a treatment, 2 groups do not, and everybody gets a posttest

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6
Q

after only with control

A

-randomized
-When researchers want to eliminate testing effects, so only a
posttest measurement is done
-Randomly assigned to experimental or control group, then measure some outcome
-best one

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7
Q

quasi experiment

A

no random assignment to conditions
Threats to internal validity and control.

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8
Q

true experiment

A

random assignment to conditions

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9
Q

random assignment

A

-For internal validity
- To establish control in experiments

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10
Q

random sampling

A

-For external validity
-To be able to generalize from a sample to a larger population

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11
Q

How to establish a cause and effect relationship:

A

-Covaration
-Temporal precedence
-Internal validity

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12
Q

covariation

A

(correlation) positive or negative

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13
Q

temporal precedence

A

the cause precedes the effect

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14
Q

internal validity

A

★refers to our ability to rule out plausible alternative explanations for the relationship★

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15
Q

threats to internal validity

A

-History
-Maturation
-Testing (two types)
-Instrumentation
-Selection
-Mortality

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16
Q

history

A

occurs outside the experiment. Has an effect on the dependent variable.

17
Q

maturation

A

refers to our participants getting older, smarter, wiser, growing up

18
Q

testing

A

(interactive testing): The Practice, practice at time 1 gets you to do better at time 2.

19
Q

instrumentation

A

any change from O1 to O2 is due to the measuring instrument

20
Q

selection

A

refers to whether or not if we can randomly assign people to control

21
Q

mortality

A

Mortality: people dropping out of the study. Cannot force them.

22
Q

questionaire design

A

-demographics last
-satisficing v. optimizing
-funnel technique
-grice’s norms of conversation
-leading/loaded questions
-ranking v. rating
-types of questions
-open v. closd

23
Q

satisficing/optimizing

A

people tend to satisfice → typically cognitively lazy
Weak and strong forms of satisficing
Want them to optimize

24
Q

funnel technique

A

Start with broad questions, move to more specific questions

25
Q

grice’s norms of conversation

A
  1. The maxim of quality: Try to make your contribution one that is true. Specifically, do not say what you believe to be false, and do not say that for which you lack adequate evidence
  2. The maxim of quantity: Make your contribution as informative as is required for the current purposes of the exchange, and do not make your contribution more informative than is required
  3. The maxim of relevance: Make your contribution relevant
  4. The maxim of manner: Be perspicuous, and specifically avoid obscurity, avoid ambiguity, be brief, and be orderly
    -These 4 norms are things you don’t realize till someone violates them
26
Q

leading/loaded questions

A

→ one that implies a specific answer (leading), emotionally charged (loading)

27
Q

open questions

A

great because its a free flowing conversation, downside: get pages of transcribed information, and you have to develop a coding scheme to condense into data,
-Anytime you want a number –use should ask an open ended question! How much, how often, how old, etc

28
Q

closed questions

A

-minimal to statistical analyses, faster, cheaper, and easier to analyze, very efficient, downside – rigid and artificial
types of closed questions
-Simple dichotomy – yes/no, like/dislike, approve/disapprove
-Determinant choice – multiple choice questions, scales
-Frequency determination – how often
For frequency determination questions, it’s better to use open ended questions
-Checklist – which of the following
-Constant sum – allocate 100 points

29
Q

ratings/rankings

A

Ratings allow for non-differentiation
Ranking- – force people to differentiate