Methodology Flashcards

1
Q

Explain what the Independent Variable is? (IV)

A
  • this is when the researchers manipulates/change the conditions of one group than the other
  • always in the experimental group
    e. g. giving vodka to one group but not the other or giving more of the substance
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2
Q

Explain what the Dependant Variable is? (DV)

A
  • the researchers use this to measure the impact of the independent variable
    (the way to think it is that it measures the difference)
    e.g. memory test
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3
Q

What is operationalisation and how are IV/DV operationalised?

A

Operationalizing refers to how you will define and measure a specific variable as it is used in your study

IV - is the difference big enough to make an impact/consider the manipulation

DV - give a measurable unit

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4
Q

Describe the features of Lab experiment?

*remember Describe just means “tell me the important part of this topic”

A

Environment:

  • controlled and artificial conditions
  • may or may not have specialised equipment, depends of the nature of the experiment

Variables:

  • IV is manipulated to see the affect to the DV
  • artificial conditions = control extraneous variables
  • compared to field = see the difference
  • control still has a base line measure

Control:
- set artificially = full control over the experiment

Participants:

  • participant heavily influenced due to conscious behaviour of the researcher
  • not accurate data
  • allocated randomly
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5
Q

Describe the features of Field experiment?

*remember Describe just means “tell me the important part of this topic”

A

Environment:
- produced in natural setting

Variables:

  • extraneous variable occur more often than lab experiment
  • compared to lab = see the difference
  • control still has a base line measure

Control:

  • doesn’t have full control like lab
  • uses deception to control the extraneous variable (but still difficult)

Participants:

  • mostly doesn’t allocate subject randomly
  • not always aware that their part of the study
  • opportunity samples
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6
Q

List the design that can be used?

A
  • Independent measures
  • Repeated measures
  • matched pairs
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7
Q

Describe Independent measures

A
  1. a group of participant is selected
  2. allocated to experimental group or control group
  3. complete only one of the tasks
  4. results of the two groups would then be compared
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8
Q

What are the strengths and Weaknesses of Independent measures?

A

Strength:

  • lower rise of demand characteristics (participant more bias + researchers are bias)
  • no order effects such as boredom, fatigue, practice effects
  • less cost as some test can be used twice

Weaknesses:

  • higher rise of participant variable (gender, age, ethnicity, mood, literal status etc)
  • more participants are needed
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9
Q

Describe Repeated measures

A
  1. one group of participant is chosen

2. they take part in both conditions (experimental and control conditions)

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10
Q

What are the strengths and Weaknesses of Repeated measures?

A

Strength:

  • no participant variable (gender, age, ethnicity, mood, literal status etc)
  • fewer participant are needed
  • both are in experimental and control groups

Weaknesses:

  • risk of demand characteristics (participant more bias + researchers are bias)
  • risk of order effects (boredom, fatigue, practice effects)
  • 2 test required could become an extraneous variable
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11
Q

Describe Matched pairs

A
  1. tested first
  2. scores are compared
  3. each participant is matched with someone who scored similar to them on the test
  4. one of the matched pair is put into experimental conditions and the other in control conditions
  5. completed only one of the task
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12
Q

What are the strengths and Weaknesses of Matched pairs?

A

Strength:

  • participants variables reduced (gender, age, ethnicity, mood, literal status etc)
  • no order effects (boredom, fatigue, practice effects)
  • less risk of demand characteristics (participant more bias + researchers are bias)

Weaknesses:

  • participant can never be completely matched
  • time consuming
  • expensive
  • more participant required
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13
Q

What are the different Sampling techniques?

A
  • volunteer
  • Stratified
  • Random and Systematic
  • Opportunity
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14
Q

Describe volunteer sampling and give an example to carry it out

A

it only consist of volunteer when asked or in response to an advert (sensitive topics mostly consist of volunteers)

Example - Milgram (1963) tested obedience by how many participant are willing to become shocked + other basic procedures

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15
Q

What are the weaknesses and strengths of Self-selecting/ volunteer sampling

A

Strengths:

  • quick and easy to do
  • reaches a wide range of participants
  • its ethical

Weaknesses:
- can have demand characteristics = not representative of the target population

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16
Q

Describe Stratified sampling and give an example to carry it out

A

it classifies the population into categories (wide range) so it chooses participant that consist of each categories (same proportion in the real population)

Example - a stratified sample of college students will consider variables such as sex, 1st and 2nd years, age, part-time job etc and then identify how many there are then chooses the same proportion of subjects in each category

17
Q

What are the weaknesses and strengths of Stratified sampling

A

Strengths:

  • representative of the population is accurate
  • unbiased (not hand picked)

Weaknesses:

  • time consuming of identifying + calculations
  • more expensive
  • harder to do
18
Q

Describe Random and Systematic sampling and give an example to carry it out

A

Random and systematic means that every member of the population has an equal chance of being chosen

Example (Random) - all of the students in your college, put in a hat then pick out the amount you need for your study

Example (Systematic) - in a list and pick every 5th or 10th person

19
Q

What are the weaknesses and strengths of Random and Systematic sampling

A

Strengths (1.Random/2.Systematic):

  1. unbiased
  2. representative sample of the target population
  3. unbiased

Weaknesses (both):

  • time consuming
  • impossible to carry out
  • rarely used (when it does its relatively small)
20
Q

Describe Opportunity sampling and give an example to carry it out

A

takes sample of people who are available at the study and fits the criteria that your looking for (can also use family and friends)

Example:

  1. Pick 20 people in your college canteen
  2. ask them to fill the questionnaire
21
Q

What are the weaknesses and strengths of Opportunity sampling

A

Strengths:

  • less time (quick)
  • more cheap
  • generally easier to do

Weaknesses:

  • biased sample (doesn’t fit the representative of the target population)
  • participants can decline