Self vs. Other: Foundations of Personality Assessment
RESEARCH IN PERSONALITY PSYCHOLOGY
Definition and Scope of Research: - Research emphasizes the pursuit of new knowledge through the application of systematic assessment. - It is defined as the process of exploring the unknown. - Research is distinct from technical training; while research explores what is not yet known, technical training focuses on learning information that is already established and known.
Personality Psychology's Core Emphasis: - The field of personality psychology shifts its focus toward research as a means of understanding individuals at a fundamental level.
PERSONALITY ASSESSMENT AND THE "CARL" SCENARIO
The Core Objective: - The central question in personality assessment is: "How can we capture who someone is at their personality core?"
Hypothetical Scenario: Getting to Know "Carl": - Imagine you have recently started a new job. - Your desk is located directly next to an individual named Carl. - You and Carl must work together closely, which motivates you to learn about his personality as quickly as possible.
Methods of Information Gathering: - Direct Inquiry: What specific questions would you ask Carl to understand him? - Behavioral Observation: What behavioral clues would provide insight into his personality? - Alternative Strategies: What other (potentially "sneaky") ways could you use to acquire information about him?
FUNDER’S LAWS OF PERSONALITY ASSESSMENT
Funder’s Law: - Principle: There are no perfect indicators of personality; there are only clues, and clues are always ambiguous. - Implications: - Personality is difficult to "crack" or fully understand. - Because clues are ambiguous, researchers need as many clues as possible. - It is necessary to collect multiple sources of data to mitigate ambiguity.
Funder’s Law: - Principle: Something beats nothing, two times out of three. - Implications: - Having some data is superior to having no data at all. - Researchers should prioritize the collection of data regardless of potential imperfections.
Funder’s Law: - Principle: There are only two types of data: terrible data and no data. - Implications: - All data collectors must recognize that all data points are inherently flawed. - One should not jump to conclusions based on flawed data, but one must also not ignore the data available.
SELF-DATA (S-DATA)
Definition: - S-data involves simply asking the person you want to know about to provide information on themselves.
Format of Collection: - Typically gathered through personality questionnaires or formal interviews. - Individuals respond to questions regarding specific traits, such as how dominant, friendly, or conscientious they perceive themselves to be. - Example: Agreeing with the statement "I am a happy person" serves as a self-report of happiness.
Advantages of S-Data: - Large Amount of Information: The individual has access to their entire history and life experience. - Access to Hidden Internal Information: S-data provides insight into thoughts, feelings, and intentions that are invisible to outside observers. - Possible Causal Force: It can represent self-verification. If an individual views themselves as "friendly," they may make an extra effort to act in a way that confirms this self-perception to others. - Simple, Cheap, and Easy: It is the most efficient data collection method. - Definitional Truth: Some data are true by definition. For example, self-esteem is defined by how a person feels about themselves; if you report having high self-esteem, then by definition, you do.
Disadvantages of S-Data: - Bias: - Individuals may distort their presentation to appear more positive or more negative than they truly are. - People may withhold specific information, resulting in an incomplete picture. - Error: - Individuals may be unable to provide accurate information about themselves. - The Fish in the Water Effect: Just as a fish might not notice the water it swims in, people may not notice their own most deep-seated traits. - Humility or modesty can prevent accurate reporting. - Human memory is imperfect. - Over-use: The method is often considered too simple and easy, leading to its over-utilization in research.
Critical Consideration: A central tension exists regarding whether we know ourselves better than others know us, particularly when self-assessments conflict with the assessments of friends.
INFORMANT-DATA (I-DATA)
Definition: - I-data consists of judgments made by knowledgeable "Informants" about an individual. - This involves gathering the views of others to learn about a subject.
Example of I-Data: - Asking a friend to rate the subject: "On a -point scale, how happy is your friend?"
Advantages of I-Data: - Real-World Social Experience: It provides a large amount of information based on actual social interactions (e.g., a co-worker rating your conscientiousness based on observed work habits). - Common Sense: Informants apply context to their judgments rather than evaluating behaviors in a vacuum. - Definitional Truth: Certain characteristics are true by definition based on the perception of others, such as humor, charm, and attractiveness. If an informant perceives you as funny, you are, by definition, funny in that social context. - Causal Force (Reputation and Expectancy Effects): If people expect you to be social, you may tend to become social to meet those expectations.
Disadvantages of I-Data: - Limited Behavioral Information: Informants only see the individual in specific roles and contexts (e.g., a boss sees a different side than a sibling). - Lack of Access to Private Information: Informants cannot see internal states such as fears, dreams, hopes, or anxieties. - Error: Informants tend to remember extreme or unusual information rather than average, daily behavior. - Bias: General views held by the informant can color their ratings. Examples include sexism, racism, or a generally negative disposition toward people.
Research Insight: Informant judgments are often found to be more accurate than self-judgments, particularly for traits that are highly desirable or undesirable.
SELECTING DATA SOURCES AND TRIANGULATION
Determining the "Best" Data: - There is no single "best" source of data. - The choice of data source depends entirely on the specific research question.
Trait Visibility: - Some traits are highly visible to informants (external behaviors). - Some traits are more identifiable to the self (internal states).
The Triangulation Approach: - The most effective methodology is triangulation, which involves comparing multiple data sources. - Analyzing the agreement or disagreement across different data types (Self vs. Peer vs. Student Assessment) is highly informative. - Example Application: Agreement/disagreement patterns in "mate seeking" situations research.
Case Study: My Self vs. Peer Personality Assessment: - A comparison of findings across the "Big Five" traits: - Extraversion - Agreeableness - Conscientiousness - Negative Emotionality - Openness - Comparisons involve ratings from a Close Friend, Self-ratings, and Student assessments after a -week period, measured on a scale from to .
UPCOMING TASKS AND ASSIGNMENTS
Quiz : - Due Friday at . - Covers Chapter and the current lecture material.
Extra Credit Assignment : - Due one week from today (Tuesday) at . - Requirements: 1. Complete the Big Five Inventory-2 (BFI-2) yourself. 2. Have a friend complete the BFI-2 regarding your personality. 3. Write a -word reflection analyzing how and why the two assessments differ. - Access: The BFI can be found at
http://www.personalitylab.org/under the quiz titled "All About You: The Big Five Personality Test."Schedule for Next Week: - Lectures will cover Chapter : Personality Traits. - Instruction will include how to write effective personality assessment items.