Research Methods Flashcards

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1
Q

Self-Report Data
Questionnaires- CLOSED QUESTIONS (4)

A

Rating Scale
Likert Rating Scale
Semantic Rating Scale
Ranked

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2
Q

Self-Report Data
Questionnaires- ISSUES (4)

A

Social desirability
Question construct
Questionnaire reliability: test- retest, split- half
Questionnaire validity: face, predictive, concurrent

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3
Q

Self- Report Data
Interviews- TYPES (3)

A

Structured
Unstructured
Semi-structured

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4
Q

Self- Report Data
Interviews- STRENGTHS (3)

A

Skilled interviewer
Flexibility of questioning
Explanation of questions

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5
Q

Self- Report Data
Interviews- WEAKNESSES (2)

A

Researcher effects
Self-report embarrassment

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6
Q

Sampling Methods
Random- DESCRIPTION

A

Every member of target population has equal chance of being selected for sample

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7
Q

Sampling Methods
Random- STRENGTHS (1)

A

Unlikely to be biased

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8
Q

Sampling Methods
Random- WEAKNESSES (1)

A

Time consuming

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9
Q

Sampling Methods
Stratified- DESCRIPTION

A

Proportional representation of the target population

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10
Q

Sampling Methods
Stratified- STRENGTHS (1)

A

Very representative

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11
Q

Sampling Methods
Stratified- WEAKNESSES (2)

A

Time consuming
Very difficult

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12
Q

Sampling Methods
Opportunity- DESCRIPTION

A

Select participants from whoever is available at the time

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13
Q

Sampling Methods
Opportunity- STRENGTHS (3)

A

Convenient
Really easy and quick
Likely to be ethical

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14
Q

Sampling Methods
Opportunity- WEAKNESSES (1)

A

Less representative

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15
Q

Sampling Methods
Volunteer- DESCRIPTION

A

Participants put themselves forward to be in the sample

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16
Q

Sampling Methods
Volunteer- STRENGTHS (2)

A

Easy to do
Access to variety of people

17
Q

Sampling Methods
Volunteer- WEAKNESSES (1)

A

Similar people

18
Q

Measures of Central Tendency
Mode- STRENGTHS (1)

A

Not affected by extreme scores

19
Q

Measures of Central Tendency
Mode- WEAKNESSES (1)

A

Not useful for small data sets w. frequently occurring same values

20
Q

Measures of Central Tendency
Median- STRENGTHS (2)

A

Not affected by extreme scores
Not affected by skewed distribution

21
Q

Measures of Central Tendency
Median- WEAKNESSES (2)

A

Less sensitive
Not useful on data sets w. lower number of values

22
Q

Measures of Central Tendency
Mean- STRENGTHS (1)

A

Most sensitive so most powerful as all scores in data set used

23
Q

Measures of Central Tendency
Mean- WEAKNESSES (2)

A

Can be affected by extreme scores
Can be affected by skewed distribution

24
Q

Measures of Dispersion
Range- STRENGTHS (1)

A

Simplest calculation of MoD

25
Q

Measures of Dispersion
Range- WEAKNESSES (2)

A

Affected by extreme scores
Doesn’t tell us if numbers are spread equally or bunched together

26
Q

Measures of Dispersion
Interquartile Range- STRENGTHS (1)

A

Cuts out any extreme scores

27
Q

Measures of Dispersion
Standard Deviation- STRENGTHS (2)

A

Always fixed and well defined
Uses all data

28
Q

Measures of Dispersion
Standard Deviation- WEAKNESSES (2)

A

Doesn’t give full range of data
Can be hard to calculate/ time consuming

29
Q

Thematic Analysis
STEPS (4)

A

1) Artifact e.g. newspaper, article, script, film
2) Identify Themes e.g. mental health
3) Create Codes e.g. anxiety- stress , PTSD- freezing
4) Tally e.g. each time a code appears to turn qualitative data to quantitative data

30
Q

Thematic Analysis
STRENGTHS (3)

A

Gain insider view of field
Suggests possible rel., causes, effects, dynamic processes
Allows for ambiguity/ contradictions in data

31
Q

Thematic Analysis
WEAKNESSES (3)

A

Don’t normally draw data from large scale data sets
Problem of adequate validity and reliability
Time required for all steps is lengthy

32
Q

Ethics
Ethical Code (4)

A

Respect
Competence
Integrity
Responsibility

33
Q

Ethics
Ethical Code
Why Do People Always Carry Condoms, Coz Of Disease

A

Withdraw
Deception
Protection from harm
Advice
Consent
Colleges
Confidentiality
Observational research
Debrief