Psychological Investigations Flashcards

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0
Q

What is quantitative data?

A

Data that is numerical

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1
Q

What is qualitative data?

A

Data that is non-numerical

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2
Q

What is validity?

A

Whether or not an investigation measures what it claims to measure.

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3
Q

What is the DV?

A

The dependent variable, the thing that is being measured in an experiment.

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4
Q

What is the IV?

A

The Independent variable, the thing that is being manipulated or changed.

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5
Q

What is a null hypothesis?

A

The mathematical acknowledgement that the results are due to chance. It will begin with ‘there is no difference/correlation between….

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6
Q

What is an experimental hypothesis?

A

A statement that can be tested

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7
Q

What is an experiment?

A

A study of cause and effect.

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8
Q

What is the independent variable?

A

The variable that has been manipulated.

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9
Q

What is the dependent variable?

A

The variable that is measured.

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10
Q

What is the control variable?

A

A variable that is not changed and allows for a fair test.\

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11
Q

What is an extraneous variable?

A

A variable that could effect the outcome which we cannot control.

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12
Q

What is a confounding variable?

A

If we cannot control a variable and it DOES seriously affect the outcome, then it is confounding.

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13
Q

What is a field experiment?

A

an experiment conducted in a natural environment. The variables are still manipulated, but participants may be in their their natural environment and may not know that they are in an experiment.

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14
Q

What are the strengths of a natural experiment?

A
  • high ecological validity (as more like and can be generalised to real life)
  • less demand characteristics (subjects may not know they are in experiment)
  • less bias sampling (subjects do not need to be taken to a lab)
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15
Q

What are the weaknesses of a field experiment?

A
  • extraneous variables cause bias (difficult to control)
  • more difficult to replicate
  • ethical issues of consent, deception, etc. are likely to occur
16
Q

What are the weaknesses of a field experiment?

A
  • Less valid due to extraneous variables
  • Difficult to replicate exactly
  • Ethical issues (consent, deception, invasion of privacy)
17
Q

What is a laboratory experiment?

A

An experiment in a special environment, participants are likely to know that they are in an experiment, but they may not know the true aims.

18
Q

what are the strengths of a lab experiment?

A
  • Manipulation of variables mean strong inference of case an effect
  • Increased control and measuring variables is more accurate
  • It is easy to replicate
19
Q

What are the weaknesses of a laboratory experiment?

A
  • Still can’t control ALL of the variables
  • Low ecological validity (not natural environment so cannot be generalised to real life)
  • Results may be bias due to sampling
  • Demand characteristics may be high
  • Ethical problems of deception
20
Q

What is a natural experiment?

A

A quasi experiment. The IV is changed by a natural occurrence, and the effects of the DV are just recorded. Nothing is manipulated by the researcher.

21
Q

What are the strengths of a quasi experiment?

A

VERY good ecological validity - natural change

Very little bias from sampling and demand characteristics

22
Q

What are the weaknesses of a natural experiment?

A
  • Difficult to infer cause and effect
  • Virtually impossible to replicate
  • Bias if participants know they are in a study
  • Ethical issues
23
Q

What is repeated measures design?

A

when the experimenter uses the same group of participants in both conditions of the experiment.

24
Q

What are the strengths of the repeated measures design?

A
  • Subject variables are constant so will not be extraneous
  • Better stats tests as less variation between conditions
  • Less subjects, more economical
25
Q

What are the weaknesses of repeated measures design?

A
  • Order effects (fatigue, practice, boredom) may be issues
  • Demand characteristics/ social desirability if aim is guessed
  • Different tests to test the same thing may be needed
26
Q

What is the independent measures design?

A

Uses completely different subjects in each conditio.

27
Q

What are the strengths of independent measures design?

A
  • Order effects are no problem
  • Demand characteristics are not problematic (harder to guess the aim)
  • Sane test can be used both times
28
Q

What are the weaknesses of using independent measures?

A
  • Subject variables differ (could be confounding)
  • Worse statistical tests (less consistency between conditions)
  • More subjects needed (less economical)
29
Q

What is the matched pairs design?

A

different participants are used in each condition, but in each condition they are matched on a specific aspect.

30
Q

What are the advantages of matched pairs design?

A
  • Consistent (ish) subject variables
  • Better statistical tests (less varied between conditions)
  • Demand characteristics not much problem
  • Same test can be used
31
Q

What are the weaknesses of matched pairs design?

A
  • Subject variables can not be perfectly matched
  • Matching is time consuming
  • More subjects are eeded