Experiemental Methods [S&W] Flashcards

(18 cards)

1
Q

Name 2 strengths and weaknesses of a lab experiment

A

Strengths
- Highly controlled environment, less chance of extraneous variables
- Standardised procedures/easy to replicate

Weaknesses
- Low ecological validity
- Demand characteristics

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2
Q

Name 2 strengths and weaknesses of a field experiment

A

Strengths
- High ecological validity
- Mundane realism is high

Weaknesses
- Difficult to replicate
- Less control over extraneous or confounding variables

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3
Q

Name 2 strengths and weaknesses of a Natural experiment

A

Strengths
- High ecological validity
- No active manipulation of IV because of ethical issues

Weaknesses
- Difficult to establish cause and effect due to no manipulation of IV
- Confounding variables

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4
Q

Name 2 strengths and weaknesses of Quasi experiments

A

Strengths
- Useful when ‘true’ experiments are unethical
- Valuable insights into real world situations

Weaknesses
- No random allocation, not a ‘true’ experiment
- Bias when no random allocation

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5
Q

Name 2 strengths and weaknesses of a lab enviroment

A

Strengths
- High control and can control extraneous variables
- Repeatability to ensure validity is easy

Weaknesses
- Low ecological validity
- Demand characteristics

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6
Q

Name 2 strengths and weaknesses of a field enviroment

A

Strengths
- High ecological validity
- Less demand characteristics

Weaknesses
- Unethical to observe without their knowledge
- Lack of control over extraneous variables

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7
Q

Name 2 strengths and weaknesses of conducting research online

A

Strengths
- Mass audience, high variety of data
- Cheaper to conduct

Weaknesses
- Cannot ensure participants are being truthful
- Social desirability bias/demand characteristics

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8
Q

Name 2 strengths and weaknesses of independent experimental design

A

Strengths
- No order effects as everyone only does one condition
- Reduced demand characteristics

Weaknesses
- Higher number of participants required
- Participant variables more of an issue

Solution
- Random allocation to spread across the differences in participants between the different conditions

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9
Q

Name 2 strengths and weaknesses of repeated measures design

A

Strengths
- Less participants as everyone completes every condition
- Less effects from participant variables

Weaknesses
- Order effects very likely to effect participants
- More chance of demand characteristics

Solution
- Counter balancing. One half does condition A then B, the other does B then A [ABBA]

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10
Q

Name 2 strengths and weaknesses of matched pair design

A

Strengths
- Reduces effects of individual differences (ppt variables)
- Less exposure to order effects

Weaknesses
- Time consuming and difficult to implement
- Ppts with no match are left from the study, even if their data is valuable

Solution
- Already minimises participants but the more variables the pairs are matched on the better the match will be.
- Best example would be identical twins

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11
Q

Name 2 strengths and weaknesses for Random sampling

A

Strengths
- Bias is limited as researcher doesn’t pick the participants
- everyone has an equal chance of being selected

Weaknesses
- Time consuming to make a list of individuals in a large population
- Not necessarily the most representative as only one type of person could be selected e.g age or gender.

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12
Q

Name 2 strengths and weaknesses of self selected sampling

A

Strengths
- Ethical way of selection as everyone wants to do it
- Not time consuming as participants approach the researcher

Weaknesses
- Often all similar types of people, e.g extroverts
- Demand characteristics

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13
Q

Name 2 strengths and weaknesses of stratified sampling

A

Strengths
- Random allocation
- Very representative

Weaknesses
- Difficult to identify the sub categories
- Time consuming and requires organisation

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14
Q

Name 2 strengths and weaknesses of quota sampling

A

Strengths
- Convenient for the researcher as they make the final selection
- Representative

Weaknesses
- Room for bias as researcher makes final selection
- Requires organisation so is time consuming

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15
Q

Name 2 strengths and weaknesses of Systematic sampling

A

Strengths
- Unbiased as it is Quasi random
- Quick to carry out once frame is created

Weaknesses
- Not very flexible, people outside the nth person aren’t included even if data is useful
- No equal chance of being selected

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16
Q

Name 2 strengths and weaknesses of snowball sampling

A

Strengths
- Great for a very niche target population
- Easy for the researcher

Weaknesses
- Trail of contacts may suddenly end, not a large enough group of participants
- Not random as each new contact is selected by the last (bias)

17
Q

Name 2 strengths and weaknesses of opportunity sampling

A

Strengths
- Convenient and quick to carry out
- Economical

Weaknesses
- Biased, those chosen are those who look approachable/helpful
- Not representative as there may be similar types of people in that area