Key terms experiments Flashcards

1
Q

Whats a lab experiment?

A

The IV is manipulated by the researcher and the experiment is carried out in a lab or another setting away from the ppts normal environment

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2
Q

Whats a field experiment?

A

The IV is manipulated by the researcher but this time the experiment is carried out using participants in their normal surroundings

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3
Q

Whats a quasi experiment?

A

The IV is naturally occurring, not manipulated by the researcher

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4
Q

Advantages of a lab experiment

A

Easy to reproduce, high internal reliability, cause and effects established, controlling extraneous variables

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5
Q

Disadvantages of a lab experiment

A

People act weird in a controlled setting so lowers construct validity, low ecological validity, more effort to conduct

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6
Q

Advantages of a field experiment

A

High ecological validity (natural setting), high construct validity, less effort to conduct, ppts at more ease

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7
Q

Disadvantages of a field experiment

A

Higher chance of extraneous variables influencing results and low internal reliability

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8
Q

Advantages of a quasi experiment

A

High ecological validity (iv isn’t manipulated), helps study variables we cannot manipulate

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9
Q

Disadvantages of a quasi experiment

A

Difficult to conduct, cannot control the same ppt variables that influence results (lower construct validity)

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10
Q

Define repeated measures design

A

Using the same people in each condition

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11
Q

Define independent measures design

A

Using different people in each condition

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12
Q

Define matched participants design

A

Using different people in each condition but an attempt is made to make the ppts as similar as possible on certain key characteristics. Tests are done and pairing them based on similar scores

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13
Q

Advantages of repeated measures design

A

No participant variables (reduces it) and its easier to obtain ppts as theres fewer of them

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14
Q

Disadvantages of repeated measures design

A

Risk of demand characteristics (situation variables, order effects may influence results unless counter balanced)

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15
Q

Advantages of independent measures design

A

Reduces demand characteristics, no order effects

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16
Q

Disadvantages of independent measures design

A

Hard to obtain ppts, participant variables

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17
Q

Advantages of matched participant design

A

Reduced effects of participant variables, no order effects and lower chances of demand characterisitics

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18
Q

Disadvantages of matched participant design

A

Effort to conduct a pre test and match ppts, cant control all extraneous variables

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19
Q

How do we control participant variables?

A

Have the same people in each condition or if your using an independent measures design make a point of allocating participants to conditions on a random basis, so ppts variables are distributed between conditions

20
Q

How do we control situational variables (order effects)?

A

Different people in each condition or if a repeated measures is used, this should be counter balanced, meaning the ppts are split into two groups

21
Q

How do we control situational variables (environmental factors)?

A

Impose controls on the experiment to ensure there are as few differences possible between the two conditions

22
Q

How do we control situational variables (demand characteristics)?

A

Do not tell ppts the aim of the study

23
Q

What is a single blind trial?

A

Ppts do not know the aim of the study

24
Q

Whats a double blind?

A

Ppts nor the people carrying out the research know the aim, this reduces the risk of researcher effects. Eliminates the dangers of researcher bias

25
Whats an alternative hypothesis?
Predicts how one variable (IV) is likely to affect another variable (DV). There will be a significant difference between XX and XX
26
Whats a null hypothesis?
Predicts the IV will not have an effect on the DV, it will be seen due to chance factors There will not be a significant difference between group XX as opposed to group XXX, any difference will be due to chance factors
27
Whats a two tailed hypothesis?
IV will have a significant affect on the DV, but it doesn't predict the direction
28
Whats a one tailed hypothesis?
IV will have a significant affect on the DV but also predicts the direction
29
What does operationalising variables mean?
Process of making variables physically measurable. Recording an aspect of observable behaviour that is assumed to be indicative of the variable under consideration
30
Whats self selecting?
People volunteer to take part in the study. Advertisements are often put out
31
What is opportunity sampling?
Sample of people who are at a given time and place selected by the researcher
32
Whats random sampling?
Each member of the target population has an equal chance of being selected
33
What is snowball sampling?
Ppts are asked to contact their friends or family to ask them to take part
34
Self selecting ad and disad
AD: Theyve chosen to participate, informed consent, no researcher bias DIS: Adverts are expensive, might not get enough volunteers- external reliability, unrepresentative sample
35
Opportunity ad and disad
AD: Easy to obtain, obtaining target population DIS: Time consuming, researcher bias, lack of consent, unrepresentative sample
36
Random ad and disad
AD: Equal chance, cant be bias, representative of target pop DIS: Time consuming, re sample, effort, selected people may not want to take part, hard to ensure equal chances
37
Snowball ad and disad
AD: Large sample, easy to obtain DIS: Researcher bias, not able to generalise sample (similar characterising)
38
What are the 4 key principles of the BPS?
Respect, competence, responsibility, integreity
39
What is respect?
Informed consent- must agree to take part Right to withdraw- leave at any time Confidentiality- details kept confidential
40
What is competence?
Researchers shouldn't give advice beyond that which they are competent to give
41
What is responsiblity?
Protection from harm- should not experience physical/mental harm Debrief- informed of study details
42
What is integrity?
Deception- shouldn't be tricked
43
Strengths and weaknesses of quantitative data
S: Valid and reliable, generalisable, easier to compare studies and replicate them, can test hypothesis, cost effective, can be done anonymously W: Over simplification, lack context of experiences and individuals, requires pre set answers, descriptive so difficult to explain, sampling bias, low ecological validity
44
Strengths and weaknesses of qualitative data
S: Detailed descriptions, helps researchers understand influences, flexible (change variables), helps researchers access groups, meaningful data, accurate and valid W: Bias, time consuming, difficult to generalise, challenging to replicate, issues with confidentiality, hard to analyse, not presentable in a graph
45
Mean ad and disad
A: Takes account of all values to calc the average, representative findings D: Affected by large/small values, outliers, kew results, decimal numbers
46
Medium ad and disad
A: Not affected by large or small numbers, discounts outliers D: Time consuming, doesn't include all data
47
Mode ad and disad
A: Averages can only be used if the data set isnt numbers, easy whole value D: More than one mode or no mode, not always representative