Personality Psychology Study Guide

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A collection of 40 vocabulary flashcards based on key concepts from the Personality Psychology lecture notes.

Last updated 9:52 PM on 2/24/26
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47 Terms

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S-Data (Self-Report Data)

Information people report about themselves, such as questionnaires or surveys.

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Pros of S-Data

Easy to obtain, inexpensive, and gives direct access to thoughts and feelings.

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Cons of S-Data

Includes bias, social desirability issues, and inaccurate self-perceptions.

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Face Validity

Whether a measure appears to measure what it claims to measure.

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I-Data (Informant Data)

Information from individuals who know the person, like friends and family.

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Pros of I-Data

Reduces self-report bias and is useful for observable traits.

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Cons of I-Data

Limited perspective and potential informant bias.

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L-Data (Life Outcome Data)

Objective records of life outcomes such as grades, jobs, or arrests.

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Pros of L-Data

Real-world relevance and difficulty to fake.

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Cons of L-Data

Influenced by many factors beyond personality.

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B-Data (Behavioral Data)

Direct observation of behavior.

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Physiological measures

Heart rate, hormones, or brain activity collected during B-Data.

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Behavioroid

Behavior resembling real-life behavior that occurs in a lab setting.

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Most Prominent Type of Data

Self-report data (S-Data).

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Psychometrics

The science of measuring psychological traits.

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Generalizable Data

Findings that apply beyond the original sample.

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Measurement Error

Difference between a person's true score and their measured score.

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Reliability

Consistency of measurement.

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Validity

Accuracy of measurement.

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Constructs

Abstract concepts such as intelligence or anxiety.

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Construct Validation

Process of determining whether a test measures the intended construct.

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Types of Reliability

Test-retest, inter-rater, and internal consistency.

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Types of Validity

Face, content, criterion, and construct (convergent and discriminant).

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Barnum Effect

Tendency to believe vague, general statements describe oneself accurately.

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Factor Analysis

Statistical method for identifying underlying traits.

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Case Study Method

In-depth study of one individual; advantages include rich information.

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Experimental Study

Research that manipulates variables to test causality.

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Independent variable (IV)

Manipulated variable in an experiment.

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Dependent variable (DV)

Measured outcome in an experiment.

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Correlational Study

Examines relationships between variables but cannot establish causation.

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Statistical significance

Likelihood results are not due to chance.

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NHST (Null-hypothesis significance testing)

Tests whether results differ from chance.

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Single-trait approach

Strength of a relationship between variables.

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Many-trait approach

Looks for traits associated with a particular behavior

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Essential-trait approach

Identifies which traits are most important.

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Typological approach

Focuses on the patterns of traits that characterize a person.

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Informed consent

Ethical requirement to inform participants about research.

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Self-Report Measures

Questionnaires completed by participants to assess personality.

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Descriptive Statistics

Mean, median, mode, and standard deviation.

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Personality Traits

Stable patterns of thoughts, feelings, and behaviors.

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California Q-Set

Trait-sorting method used in personality assessment.

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Lexical Hypothesis

Important personality traits become encoded in language.

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Big Five Personality Traits

Extraversion, neuroticism, conscientiousness, agreeableness, openness.

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Eysenck’s View of Extraversion

Based on biological arousal levels; includes sociability.

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Implicit vs Explicit Self-Esteem

Implicit is automatic and unconscious; explicit is conscious and self-reported.

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Self-Compassion

Being kind to oneself during failure.

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Self-Discrepancy Theory

Distress results from gaps between actual, ideal, and ought selves.

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