Unit 3: Chapter 6-Validity Flashcards

(29 cards)

1
Q

Define: validity

A

an indication of accuracy in terms of the extent to which a research conclusion corresponds with reality

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2
Q

Define: Internal Validity

A

extent to which a study provides evidence of a cause-effect relationship between the independent and dependent variables (142)

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3
Q

Define: Construct Validity

A

extent to which the results support the theory behind the research

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4
Q

Define: External Validity and explain the difference between it and ecological validity

A

how well the findings of an experiment generalize to other situations or populations

eco v: how well the experiment applies to real world situations

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5
Q

Define: statistical conclusion validity

A

extent to which data are shown to be the result of cause-effect relationships rather than accident

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6
Q

Define: history

A

Events that occur outside of the experiment that could influence the results of the experiment

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7
Q

Define: maturation

A

a source of error in an experiment related to the amount of time between measurements (kids growing older between tests for example)

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8
Q

Define: effects of retesting

A

performance on a second test is influenced by simply having taken a first test

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9
Q

Define: regression effects

A

tendency of subjects with extreme scores on a first measure to score closer to the mean on a second testing

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10
Q

Define: selection

A

a confound that can occur due to assignment of subjects to groups (as opposed to random selection)

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11
Q

Define: mortality

A

the dropping out of some subjects before an experiment is completed, causing a threat to validity

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12
Q

Define: Role demands (demand characteristics)

A

partici- pants’ expectations of what an experiment requires them to do

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13
Q

Define: randomization

A

unbiased assignment pro- cess that gives each subject an equal and independent chance of being placed in every condition

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14
Q

Define: matching

A

control procedure to ensure that experimental and control groups are equated on one or more variables before the experiment

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15
Q

Define: statistical control

A

mathematical means of comparing subjects on paper when they cannot be equated as they exist
in fact (177)

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16
Q

Define: replicability

A

replication: repeating an experiment to see if the results will be the same

17
Q

Define Power

A

the probability of rejecting the null hypothesis when it is, in fact, false (relevant to statisitcal conclusion validity

18
Q

What is meant by confounding?

A

error that occurs when the effects of two variables in an experiment cannot be separated, resulting in a confused interpretation of the results

19
Q

Why is confounding particularly acute in research in which a subject variable is used?

A

All of the factors that make up the subject variable are confounding variables.

20
Q

List the seven major threats to internal validity

A

1) Ambiguous temporal precedence
2) History
3) Maturation
4) Effect of testing (repeat testing)
5)Regression effect
6) selection
7) mortality

21
Q

What is the regression effect? When does it arise?

A

tendency of subjects with extreme scores on a first measure to score closer to the mean on a second testing
-When one assumes correlation between two variables without enough data (kid does good thing without praise=praise is not useful)

22
Q

What is mortality and when is it a threat to internal validity?

A

the dropping out of some subjects before an experiment is completed, causing a threat to validity

When it heavily skews the difference between groups (weight losee example p.149)

23
Q

Briefly describe two threats to construct validity

A

Loose Connection Between Theory and Method
-unsure of the validity of the method or measure used (cat aggression can be fighting or hunting)

Ambiguous Effect of Independent Variables
-when the experimenter and the P have different expectations?? (You werent concerned about how this tasted right?-participant trying to do something else)

24
Q

Briefly describe three threats to external validity

A

Other Subjects (college students)
Other Times
Other Settings

25
What are the two broad categories of bias resulting from the interaction between experimenter and subject?
Subject bias Experimenter bias
26
How can demand characteristics be overcome?
1) decieve the partipants 2) use a measure that is not likely going to impact a p's guesses about the experiment (few people are going to notice the amount of chairs in a room for example)
27
Define subject variable
when partici- pants are selected according to the presence or absence of a condition and not selected simply to have a condition assigned to them. (143)
28
What is ambiguous temporal precedence in relation to internal validity?
ATP is one of the major threats to internal validity that shows "two variables are related, it is not clear which one is the cause and which one is the effect"
29
Define random error
that part of the value of a variable that can be attributed to chance