Research methods (Mock) Flashcards

1
Q

What are strengths of Laboratory experiements?

A

Usually high in internal validty because extraneous variables can be controlled.

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2
Q

What is a laboratory experiment?

A

An experiment conducted in a special enviroment where variable can be carefully controlled.

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3
Q

What are limitations of Laboratory experiements?

A
  • Participants usually are aware that their behaviour is being studied. Leading to particpants searching for cues about the aims of the experiments and affect behaviour reducing realness.
  • Low ecological validty as P’s may feel uncomfortable in an unknown and artifical enviroment. Causes change in usual behaviour.
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4
Q

What is a field experiment?

A

An experiment conducted in a more natural enviroment i.e. in ‘the field’.

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5
Q

What are strengths of Field experiments?

A
  • Participants are not likely to be aware that their behvaiour is being studied
  • A field experiment takes places in a more natural setting (e.g a classroom), particpants are more relaxed.
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6
Q

What are limitations of Field experiments?

A
  • It is more difficult to control extraneous variables.

- There is a major ethical issue

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7
Q

What is a Natural Experiment?

A

An experiment conducted when it is not possible, for ethical or practical reasons, to deliberately manipulate an IV.

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8
Q

What are the strengths of Natural experiments?

A
  • Allows research where IV can’t be manipulated for ethical or practical reasons.
  • Enables researchers to study ‘real’ problems such as the effect of a disaster on health (increased mundane realism and ecological validty).
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9
Q

What are limitations of Natural experiments?

A
  • Cannot demomstrate casual relationships because IV not directly manipulated.
  • Can only be used where conditions vary naturally.
  • Participants may be aware of being studied, creating demand characteristics and reducing internal validity.
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10
Q

What is strength of Quasi-experiments?

A

Allows comparisons between types of people.

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11
Q

What are limitations of Quasi-experiments?

A
  • Participants may be aware of being studied, creating demand characteristics and reducing internal validty.
  • The DV may be a fairly artificial task, reducing mundane realism.
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12
Q

Hypothesis

A

A precise and testable statement which is based on an assumption of a relationship between variables.

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13
Q

What are the strengths of Mean?

A

Most sensitive measure of central tendency as it includes all the raw data most suitable for interval or ratio data.

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14
Q

What are the limitations of Mean?

A

Can be biased by skewed (outlying) scores. (eg. 2.4).

Can not be representative of the data at all times eg average family size 2.4 children!

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15
Q

Correlation

A

Determing the relationship between two variables. May both increase together (postive) or one co-variable increase while the other decreases (negative)

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16
Q

What is a correlation used for?

A

Analyse the association between two variables, in this case co-variables

17
Q

Directional hypothesis (one/tail)

A

States the direction of the predicted different (or relationship in the correlational study) between two condition or two groups of participants.

18
Q

Meta analysis

A

A research looks at findings from a number of different studies and produced a statistic to represent the overall effect.

19
Q

Strengths of meta analysis

A
  • Increase validity of the conclusions drawn as they are based on a wider sample of participants.
  • Allows us to reach an overall conclusion by having statistic to represent the findings of different studies
20
Q

Limitations of Meta analysis

A

The studies are not truly comparable. - Conclusion may not all be valid

21
Q

Standard deviation

A

The amount of variation in a data set. It assesses the spread of data around the mean

22
Q

Strengths of SD

A
  • Takes into account all scores
  • More precise measure of SD
  • Not difficult to calculate if you have a calculator
23
Q

Limitations of SD

A
  • May hide some characteristics of the date set eg extreme values
24
Q

Correlation coefficient

A

A measure of extent of correlation that exists between the co-variables. it is a numerical value between +1 and -1

25
Q

Perfect postive correlation

A

1

26
Q

High positive correlation

A

0.8

27
Q

Low positive correlation

A

0.3

28
Q

No correlation

A

0

29
Q

Low negative correlation

A

-0.3

30
Q

High negative correlation

A

-0.8

31
Q

Perfect negative correlation

A

-1