Lecture 3 Flashcards

1
Q

Define Validity

A

The extent to which a procedure measures what it is intended to measure

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2
Q

What are the two types of validity and there definitions

A

Internal - Ability to say the predicted relationship between the IV and DV does exist and is due to the effects of the IV, not EVs
External - degree to which the reulsts can be generalised to other subjects/ situations.

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3
Q

Define secondary variance

A

effects of uncontrolled variabes

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4
Q

What are the 3 ways of dealing with secondary variance?

A

1) Record it and correct for it in stats
2) Eliminate it
3) Hold it constant

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5
Q

What affect does increased internal validity have on external validity?

A

Higher internal may compromise external

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6
Q

What factors can affect validity?

A
  • multiple treatment affectes
  • reactive effects
  • demand characteristics
  • differential treatment of each p
  • different time/ place
  • participant drop outs/ low response rates
  • regression towards the mean
  • order effects
  • maturation
  • non-random assingment
  • time between multiple observations
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7
Q

Define observational studies

A
  • often the background for intervention designs, to determine if one factor is related to another factor.
  • Observe natural variation in IV and DV, testing the correlation between both, controlling for other known determinants of DV
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8
Q

Define intervention studies

A

only way to approach cause and effect – control all variables except IV to see the effect on the DV

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9
Q

Define and Evaluate Questionnaires

A

Usuaully paper test, score answers to draw conclusions √Predictive and very useful if useful.
X – honesty is questionable

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10
Q

Define and evaluate survey’s

A

Either written questionnaire, verbal interview or both
√Gather info on things that aren’t easily observable
√Gather lots of data quickly
X - honesty is again questionable

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11
Q

Define and evaluat case studies

A

Involes interviews, observations, examine records and psychological testing to see what evental led up to the current situation. It is an in-depth investigation of an individual, used to reconstruct parts of their life.
√ - Good for testing psychological disorders as you can see history and development
X - Very subjective, with their being often gaps and relying on memory of subject, which may be faulty
X - cant always generalise

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12
Q

What are the two types of observations?

A

Lab and naturalistic

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13
Q

Define and evaluate lab observations

A

In a controlled environment, usually with an observation schedule.
√ More structured
X - observer effects
X - low external, cant generalise - ecological validity

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14
Q

Define and evaluate naturalistic observations

A

In a natural environment, allowing behaviour to occur without interference/ intervention by researcher (we all do this i.e. people watching).
√ - No observer effects
X - intrusive/ ethics

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15
Q

Define reliability

A

The extent to which a particular measure is consistent and reproducible. Measures include: questionnaires, tests, a computer that records responses, a stop watch. Reliability depends on measurement error. If something is reliable it means the test will yield comparable results when repeated measures are taken under matched conditions.

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16
Q

Given an example of un-avoidable variance.

A

Natural variation between people

17
Q

Give some examples of avoidable variance

A
  • Incorrect data recording/ analysis
  • inconsistent treatment of p’s
  • inappropriate/ inconsistent measuring
18
Q

How would you avoid variance in your study?

A
  • Always calibrate and test equipment probably
  • Be precise with measurement
  • Statistical procedures account for variance