9 & 10 Flashcards

(41 cards)

1
Q

This means the degree to which changes in the DV (Effects) can be attributed to the IV (Cause)

A

Internal Validity

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2
Q

6 types of threats to internal validity

A

Selection bias
History
Maturation
Testing
Instrumentation Change
Mortality

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3
Q

This exists when study results are attributed to the experimental treatment, when in fact results are dt differences among subjects even before the treatment.

A

Selection Bias

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4
Q

This occurs when some events besides the experimental treatment take place during the course of the study and affect or influence the DV

A

History

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5
Q

This takes place when changes within the subjects occur during the experimental study and thus may influence study results

A

Maturation

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6
Q

Possible testing threat in studies in which a pre-test is a requisite. Influence of the pre-test.

A

Testing

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7
Q

The existence of a difference between pre-test and post-test results caused by change in the accuracy of the instrument

A

Instrumentation Change

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8
Q

This happens when a difference exists between the subject dropout rates of either the experimental group and the control group

A

Mortality (Attrition)

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9
Q

This is the degree to which study results can be influenced or affected by external factors

A

External Validity

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10
Q

4 types of threats to external validity

A

Hawthorne Effect
Experimenter Effect
Reactive effect of the pre-test
Halo effect

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11
Q

This occurs when study participants respond in a particular manner, or there is obvious change of behaviour because they are aware that they are being observed

A

Hawthorne effect by Henry A Landsberger

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12
Q

To deal with the Hawthorne effect, they must be handled by having a _. Then administer a _ to that group.

A

Control group
Placebo

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13
Q

This refers to when the subject does not know whether he/she is receiving the treatment or a placebo

A

Blind Experiment

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14
Q

This refers to a threat to the study, which results when the researcher’s behaviour influences the behaviour of the subjects

A

Experimenter Effect

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15
Q

Occurs when the subjects have been sensitised to the treatment by taking the pre-test and thereafter influence the post-test results

A

Reactive effect of the pre-test

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16
Q

The impression influences the outcome

A

Halo effect

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17
Q

To minimize the threats to external validity or to remove the observer’s bias

A

Double blind method

18
Q

Neither the observer knows the specific objective or the specific subjects who belong to experimental and control group

A

Double blind method

19
Q

Is used to determine the extent or bias between two observers as they both observe and record.

A

Double observer method

20
Q

Extent to which the measurements used

A

Construct validity

21
Q

5 types of threats to Construct Validity

A

Reactivity to the study situation
Researcher expectancies
Novelty effects
Compensatory effects
Treatmenr Diffusion or Contamination

22
Q

People’s response reflect = perceptions become part of the treatment contruct

A

Reactivity to the study situation

23
Q

Researchers influence subjects by subtle/not so subtle communication about desired outcomes

A

Researcher Expectancies

24
Q

Treatment is new = alterations on researchers and subjects behaviour

A

Novelty effects

25
Two types of compensatory effects
Compensatory equalization Compensatory rivalry
26
Trying to compensate for the failure to receive a perceived beneficial treatment
Compensatory equalization
27
CG members desire to demonstrate thay they can do as well as those receiving special treatment
Compensatory rivalry
28
Treatment conditions can get blurred. Occur when participants receive services similar to those available in the treatment condition
Treatment diffusion or contamination
29
This occurs when the treatment group condition put themselves in the control group by dropping out.
Blurring
30
Establishing causality= relationship between IV and DV
Threats to Statistical validity
31
Used to support inferences about whether a rs exist
Statistical methods
32
3 types of threats to statistical conclusion validity
Low statistical power Restriction of range Unreliable implemenation of a treatment
33
Able to detect true rs.
Statistical power
34
Achieved through accurate measuring tools and powerful statistical method
Precision (Statistical power)
35
Limits the generalizabity of research findings
Restriction of range
36
Restriction of range of values on outcome variables =
Attenuated
37
Implementation of intervention is faithful
Unreliable implementation of a treatment Intervention fidelity/treatment fidelity
38
Assess whether the treatment was in place
Unreliable Implementation of a treatment; Manipulation check
39
Participants' performance quality
Unreliable implementation of a treatment; Enactment
40
Participants fail to receive the desired intervention dt lack _
Unreliable implementation of a treatment; Treatment adherence
41
Instrumentation can be weakened by various factors, which researchers can often influence
Unreliable Implementation of a treatment