Research Methods Flashcards
Self-Report Data
Questionnaires- CLOSED QUESTIONS (4)
Rating Scale
Likert Rating Scale
Semantic Rating Scale
Ranked
Self-Report Data
Questionnaires- ISSUES (4)
Social desirability
Question construct
Questionnaire reliability: test- retest, split- half
Questionnaire validity: face, predictive, concurrent
Self- Report Data
Interviews- TYPES (3)
Structured
Unstructured
Semi-structured
Self- Report Data
Interviews- STRENGTHS (3)
Skilled interviewer
Flexibility of questioning
Explanation of questions
Self- Report Data
Interviews- WEAKNESSES (2)
Researcher effects
Self-report embarrassment
Sampling Methods
Random- DESCRIPTION
Every member of target population has equal chance of being selected for sample
Sampling Methods
Random- STRENGTHS (1)
Unlikely to be biased
Sampling Methods
Random- WEAKNESSES (1)
Time consuming
Sampling Methods
Stratified- DESCRIPTION
Proportional representation of the target population
Sampling Methods
Stratified- STRENGTHS (1)
Very representative
Sampling Methods
Stratified- WEAKNESSES (2)
Time consuming
Very difficult
Sampling Methods
Opportunity- DESCRIPTION
Select participants from whoever is available at the time
Sampling Methods
Opportunity- STRENGTHS (3)
Convenient
Really easy and quick
Likely to be ethical
Sampling Methods
Opportunity- WEAKNESSES (1)
Less representative
Sampling Methods
Volunteer- DESCRIPTION
Participants put themselves forward to be in the sample
Sampling Methods
Volunteer- STRENGTHS (2)
Easy to do
Access to variety of people
Sampling Methods
Volunteer- WEAKNESSES (1)
Similar people
Measures of Central Tendency
Mode- STRENGTHS (1)
Not affected by extreme scores
Measures of Central Tendency
Mode- WEAKNESSES (1)
Not useful for small data sets w. frequently occurring same values
Measures of Central Tendency
Median- STRENGTHS (2)
Not affected by extreme scores
Not affected by skewed distribution
Measures of Central Tendency
Median- WEAKNESSES (2)
Less sensitive
Not useful on data sets w. lower number of values
Measures of Central Tendency
Mean- STRENGTHS (1)
Most sensitive so most powerful as all scores in data set used
Measures of Central Tendency
Mean- WEAKNESSES (2)
Can be affected by extreme scores
Can be affected by skewed distribution
Measures of Dispersion
Range- STRENGTHS (1)
Simplest calculation of MoD