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A collection of 40 vocabulary flashcards based on key concepts from the Personality Psychology lecture notes.
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S-Data (Self-Report Data)
Information people report about themselves, such as questionnaires or surveys.
Pros of S-Data
Easy to obtain, inexpensive, and gives direct access to thoughts and feelings.
Cons of S-Data
Includes bias, social desirability issues, and inaccurate self-perceptions.
Face Validity
Whether a measure appears to measure what it claims to measure.
I-Data (Informant Data)
Information from individuals who know the person, like friends and family.
Pros of I-Data
Reduces self-report bias and is useful for observable traits.
Cons of I-Data
Limited perspective and potential informant bias.
L-Data (Life Outcome Data)
Objective records of life outcomes such as grades, jobs, or arrests.
Pros of L-Data
Real-world relevance and difficulty to fake.
Cons of L-Data
Influenced by many factors beyond personality.
B-Data (Behavioral Data)
Direct observation of behavior.
Physiological measures
Heart rate, hormones, or brain activity collected during B-Data.
Behavioroid
Behavior resembling real-life behavior that occurs in a lab setting.
Most Prominent Type of Data
Self-report data (S-Data).
Psychometrics
The science of measuring psychological traits.
Generalizable Data
Findings that apply beyond the original sample.
Measurement Error
Difference between a person's true score and their measured score.
Reliability
Consistency of measurement.
Validity
Accuracy of measurement.
Constructs
Abstract concepts such as intelligence or anxiety.
Construct Validation
Process of determining whether a test measures the intended construct.
Types of Reliability
Test-retest, inter-rater, and internal consistency.
Types of Validity
Face, content, criterion, and construct (convergent and discriminant).
Barnum Effect
Tendency to believe vague, general statements describe oneself accurately.
Factor Analysis
Statistical method for identifying underlying traits.
Case Study Method
In-depth study of one individual; advantages include rich information.
Experimental Study
Research that manipulates variables to test causality.
Independent variable (IV)
Manipulated variable in an experiment.
Dependent variable (DV)
Measured outcome in an experiment.
Correlational Study
Examines relationships between variables but cannot establish causation.
Statistical significance
Likelihood results are not due to chance.
NHST (Null-hypothesis significance testing)
Tests whether results differ from chance.
Single-trait approach
Strength of a relationship between variables.
Many-trait approach
Looks for traits associated with a particular behavior
Essential-trait approach
Identifies which traits are most important.
Typological approach
Focuses on the patterns of traits that characterize a person.
Informed consent
Ethical requirement to inform participants about research.
Self-Report Measures
Questionnaires completed by participants to assess personality.
Descriptive Statistics
Mean, median, mode, and standard deviation.
Personality Traits
Stable patterns of thoughts, feelings, and behaviors.
California Q-Set
Trait-sorting method used in personality assessment.
Lexical Hypothesis
Important personality traits become encoded in language.
Big Five Personality Traits
Extraversion, neuroticism, conscientiousness, agreeableness, openness.
Eysenck’s View of Extraversion
Based on biological arousal levels; includes sociability.
Implicit vs Explicit Self-Esteem
Implicit is automatic and unconscious; explicit is conscious and self-reported.
Self-Compassion
Being kind to oneself during failure.
Self-Discrepancy Theory
Distress results from gaps between actual, ideal, and ought selves.