Exam 2 Flashcards
What are the 4 sources of personality data
Self-Report Data
Observer-Report Data
Test-Data
Life-Outcome Data
Distinguish the characteristics, strengths, and weaknesses of the Self-Report Data (S-Data) source of personality data
Characteristics: The questionnaire method utilizes surveys and Interviews. Data can be either Unstructured (Open-ended) or Structured (Multiple choice)
Strengths: Increased access to information about the individual
Weaknesses: Lack of honesty and lack of accuracy
Distinguish the characteristics, strengths, and weaknesses of the Observer-Report Data (O-Data) source of personality data
Characteristics: Sorced by informants/ 3rd parties
Naturalistic Observation (Observers witness and record events that occur in the normal course of the lives of their participants.)
Strengths: Gain information from realistic settings
Weaknesses: Uncontrollable/ unpredictable events
Artificial Observation (observe and record the behaviors of participants in a constructed setting )
Strengths: Can control the setting
Weaknesses: Observed behavior may lack realism
Distinguish the characteristics, strengths, and weaknesses of the Test-Data (T-Data) source of personality data
Characteristics: standardized tests or situations that focus on behavior. Could be obtained by Physiological Data (fMRI) or Projective techniques (ink-blot)
Strengths: Elicit behavior; Control context & setting; Test specific hypotheses
Weaknesses: Participants may alter responses that they perceive would be more favorable; Researcher’s influence
Distinguish the characteristics, strengths, and weaknesses of the Life-Outcome Data source of personality data
Characteristics: life events, activities, and outcomes in a person’s life that are available to public observation
Strengths: Important source of data about personality
Weaknesses:??
Draw distinctions between natural observation and artificial settings.
Natural observations occur within the normal course of a subjects life and can elicit more natural responses, Artificial settings like a lab control more variables but at the risk of creating artificial responses
Understand the benefits of triangulation.
+ All data sources have limitations
+ Best to use multiple sources of data
Explain the use of reverse scoring on self-report questionnaires.
Used to counteract response sets like acquiescence (yeah saying). Tnumerical scoring scale runs in the opposite direction. The low end of the scale (1) results in the largest number of points.
Define reliability and the 2 key aspects, accuracy and consistency.
Reliability is the degree to which an obtained measure represents the “true” level of the trait being measured.
In order to have high reliability, tests must be accurate (reflect a person’s true level) and consistent (all items are measuring the characteristic).
Testing Reliability
- Repeated measurement (repeat the same measurement over time)
- Internal consistency reliability (Examine the relationships among the items themselves at a single point in time)
- Inter-rater Reliability (obtain information from multiple observers O-data needed)
Define validity and generalizability.
The extent to which a test measures what it claims to measure vs. The degree to which a measure retains its validity across different contexts.
Distinguish a study sample and population.
A study sample is a group which ideally represents the greater population which
Explain the benefits of random sampling methods.
Avoids grouping bias from the researcher and is more likely to represent a population because of that.
Distinguish the characteristics, advantages, and disadvantages of correlational studies versus experiments.
Both designs are concerned with the relationships among variables but…
correlational studies
Characteristics: variables typically covary and the values of variables are linked
Advantages: variables measured as they naturally occur; Pearson’s R/Correlation Coefficient Range
experiments
Characteristics: Variables have cause-effect relationship
Advantages: Variables are manipulated by the researcher
Identify the purpose for conducting a case study.
Examine relationships between variables, within a given population.