Research Methods Flashcards

1
Q

What is a theory and hypothesis

A

A theory is a systematic way of organising and explaining observations; different schools of thought promotes different theories
–> leads to new predictions that can be tested

A hypothesis is a tentative belief/prediction about the way two (or more) variables interact/impact each other.
–> is concrete - did i get this result? I didn’t get this result

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2
Q

Data collection techniques (Naturalistic Observation)

A
  • researcher carefully observes behaviour without intervening
  • participant observation
    –> researcher is also a participant
    ADVANTAGES
  • in depth observation of behaviour in natural setting
  • can provide new insights
    DISADVANTAGES
  • reactivity: difficult to remain unobtrusive
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3
Q

Data collection techniques (Case Study)

A
  • in depth investigation of individual person/situation
    –> using interview, direct observation, records, psychological tests
    ADVANTAGES
  • can provide rich, compelling data to support a theory
    DISADVANTAGES
  • representative of general population?
  • subjectivity: investigators may see what they expect to see
    (NOTE: usually single person cases)
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4
Q

Data collection techniques (Surveys)

A
- use questionnaires or interviews to gather information about specific aspects of behaviour
ADVANTAGES
- data difficult-to-observe behaviour
- data from a large sample
DISADVANTAGES
- self-report data can be unreliable
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5
Q

Data collection techniques (Correlation Research)

A
  • looking for relationships among variables
  • useful for studying variables that the researcher can’t manipulate
  • -> personality, intelligence, age, sex
  • can demonstrate that a relationship exists, but can’t demonstrate causality
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6
Q

Data collection techniques (Experimental Research: establishing causes)

A

Researcher

  • manipulates on variable
  • ->independent variable
  • -> whatever you think causes the dependent variable
  • to see its effect on another variable
  • -> dependent variable
  • -> thing we hope to explain
  • -> e.g. depression - thing you wanna see change
  • holding other variables constant
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7
Q

Population

A

The entire group of people interested in studying

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8
Q

Sample

A

A subset of the population selected for the study

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9
Q

Random Sampling

A

Each member of the population is equally likely to be included in the sample

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10
Q

Representative Sample

A

Possesses the important characteristics of the population in the same proportions

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11
Q

Reliability

A

Does the measure produce consistent results?

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12
Q

Validity

A

Does it measure what it’s supposed to measure?

Is our measure related to the other measures with demonstrated validity?

Is our measure related to an outcome it should be related to?

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13
Q

Test-retest reliability

A

Does the test give similar values if the same participant takes it two or more times?

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14
Q

Internal consistency

A

Different items that measure the same variable should produce similar answers - be consistent

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15
Q

Inter-rater reliability

A

Two testers who rate the same person on the same variable, should give similar ratings to the participant

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16
Q

Correlation coefficient

A

Measures the strengths of the relationship between 2 variables

17
Q

A positive correlation

A

People with high scores on one variable tend to have scores on the other variable

e.g. the more nappies a person changes, the more often they wash their hands

18
Q

A negative correlation

A

People with high scores on one variable are likely to have low scores on the other variable

e.g. the more hours spend practising, the fewer errors they make when they perform

19
Q

No correlation

A

A high score on one dimension predicts nothing about a person’s score on the other dimension

e.g. the number of dreams people have about plane crashes has nothing to do with the no. of plane crashes

20
Q

Experimental group

A

Exposed to the experimental condition of interest

21
Q

Control group

A

Not exposed to the experimental condition, but otherwise treated identically to the experimental group

22
Q

Random assignment

A

Participants are equally likely to be assigned to the experimental or control condition

23
Q

Looking for flaws (reactivity)

A

Experimenter bias

Participant bias

24
Q

Looking for flaws (confounding variables)

A

Ruling out other explanations

25
Q

Looking for flaws (sampling bias)

A

Choosing a bias group…

26
Q

Bias (participant)

A

The tendency of people who know they are the participants in a study to behave in a way other than they normally would

e.g. hawthorne effect

27
Q

Bias (self presentation)

A

Demand characteristics
- participants respond in the way they think the experimenter wants them to respond

Placebo effects
- participants condition improves because they believe the procedures will help them

28
Q

Bias (experimenter)

A

The tendency of experimenters to let their expectancies alter the way they treat their participants

Self fulfilling prophecy
- a false definition of a situation that evokes behaviour that, in turn, makes the false conception become true

29
Q

Single-blind study

A

Either the experimenter or participant unaware of purpose of study

30
Q

Double-blind study

A

Both experimenter and participant “blind” to the purpose of study

31
Q

Ethics

A
Informed consent
Maintain participant welfare
Voluntary participation
Ensure confidentiality
Avoid deception