Research Methods Flashcards

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
Measures of Dispersion Range- WEAKNESSES (2)
Affected by extreme scores Doesn’t tell us if numbers are spread equally or bunched together
26
Measures of Dispersion Interquartile Range- STRENGTHS (1)
Cuts out any extreme scores
27
Measures of Dispersion Standard Deviation- STRENGTHS (2)
Always fixed and well defined Uses all data
28
Measures of Dispersion Standard Deviation- WEAKNESSES (2)
Doesn’t give full range of data Can be hard to calculate/ time consuming
29
Thematic Analysis STEPS (4)
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
Thematic Analysis STRENGTHS (3)
Gain insider view of field Suggests possible rel., causes, effects, dynamic processes Allows for ambiguity/ contradictions in data
31
Thematic Analysis WEAKNESSES (3)
Don’t normally draw data from large scale data sets Problem of adequate validity and reliability Time required for all steps is lengthy
32
Ethics Ethical Code (4)
Respect Competence Integrity Responsibility
33
Ethics Ethical Code Why Do People Always Carry Condoms, Coz Of Disease
Withdraw Deception Protection from harm Advice Consent Colleges Confidentiality Observational research Debrief