Exam 2 Flashcards

1
Q

What are the 4 sources of personality data

A

Self-Report Data
Observer-Report Data
Test-Data
Life-Outcome Data

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2
Q

Distinguish the characteristics, strengths, and weaknesses of the Self-Report Data (S-Data) source of personality data

A

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

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3
Q

Distinguish the characteristics, strengths, and weaknesses of the Observer-Report Data (O-Data) source of personality data

A

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

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4
Q

Distinguish the characteristics, strengths, and weaknesses of the Test-Data (T-Data) source of personality data

A

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

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5
Q

Distinguish the characteristics, strengths, and weaknesses of the Life-Outcome Data source of personality data

A

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:??

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6
Q

Draw distinctions between natural observation and artificial settings.

A

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

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7
Q

Understand the benefits of triangulation.

A

+ All data sources have limitations
+ Best to use multiple sources of data

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8
Q

Explain the use of reverse scoring on self-report questionnaires.

A

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.

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9
Q

Define reliability and the 2 key aspects, accuracy and consistency.

A

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).

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10
Q

Testing Reliability

A
  1. Repeated measurement (repeat the same measurement over time)
  2. Internal consistency reliability (Examine the relationships among the items themselves at a single point in time)
  3. Inter-rater Reliability (obtain information from multiple observers O-data needed)
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11
Q

Define validity and generalizability.

A

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.

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12
Q

Distinguish a study sample and population.

A

A study sample is a group which ideally represents the greater population which

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13
Q

Explain the benefits of random sampling methods.

A

Avoids grouping bias from the researcher and is more likely to represent a population because of that.

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14
Q

Distinguish the characteristics, advantages, and disadvantages of correlational studies versus experiments.

A

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

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15
Q

Identify the purpose for conducting a case study.

A

Examine relationships between variables, within a given population.

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16
Q

Describe the information conveyed by a correlation statistic, such as r = +.85 (direction and magnitude of the relationship between variables)

A

The closer to 1 the stronger the correlation +/-
.7 and up: Strong correlation
.4 to .6: Moderate
.1 to .3: Low

17
Q

Conditions

A

participants in each experimental condition are equivalent to each other at the beginning of the study

18
Q

Random assignment

A

Assignment in an experiment that is conducted randomly. If an experiment has manipulation between groups, random assignment of participants to experimental groups helps ensure that each group is equivalent.

19
Q

Manipulation

A

Researchers conducting experiments use manipulation in order to evaluate the influence of one variable (the manipulated or independent variable) on another (the dependent variable).
(counterbalancing some experiments, manipulation is within a single group)

20
Q

Compare cause-effect relationships in experiments versus variable relationships in correlational designs.

A

Cause and Effect:
Variable A than Variable B occurs. Cannot determine the cause and effect based on correlation alone

Variable relationships:
Positive correlation between variables resulting in an r result .7 <

21
Q

Understand the directionality issue and 3rd variable problem with correlational studies.

A

+ If there is difficulting to determine which is the cause and which is the effect you have run into the directionality issue because correlation doesn’t equal causation
+ The possibility that there is another variable that causes changes in the variables in your study

22
Q

Distinguish between the Independent Variable and Dependent Variable in experimental research.

A

Independent Variable - manipulated variable
Dependent Variable - changes based on independent

23
Q

Distinguish between the Experimental Condition and Control Condition in experimental research.

A

Experimental Condition - a condition where the independent is changed/manipulated
Control Condition - a condition where independent is held constant

24
Q

Interpret data (mean differences between conditions on the dependent variable) compared to a priori hypotheses.

A
25
Q

Explain research ethics for human participants in psychological research, including informed consent, debriefing

A
26
Q

Describe types of risks, additional protections for vulnerable populations

A
27
Q

Describe the components of an APA-formatted empirical report.

A

Abstract: Brief overview of study
Introduction: Background information, rationale and importance of study
Method: Study design, description of study sample and
sampling method
Results: Reports results of data analysis
Discussion: Interpretation of results, applications and limitations
References and Appendices: List of all references cited,

28
Q

Explain 3 approaches to identifying the most important traits: Lexical (including the 2 criteria), Statistical, and Theoretical.

A

Lexical (including the 2 criteria): Synonym frequency and Cross-cultural universality
Statistical: Identifies categories of related traits, called factors
Theoretical: Starts with a theory to determine which traits are important

29
Q

Understand the purpose for conducting a factor analysis.

A

Traits clump together to reduce large # of traits smaller # of categories. Used with the lexical approach

30
Q

Explain the Act Frequency formulation of traits.

A

traits are categories of acts Researchers look for repeated behaviors to determine trait formulation

31
Q

Describe the 5 factors of the Five-Factor Model

A

Openness - Creative, imaginative, cultured
Consciousness - Organized, neat, orderly
Extraversion - Talkative, assertive, forward,
Agreeableness - Sympathetic, understanding, sincere
Neuroticism - Calm, relaxed, stable

32
Q

Describe the empirical criticisms of the Five-Factor model, including the HEXACO expanded model.

A
  1. Issues with the 5th factor (Openness) due to differences in definitions and replicability across languages
    and cultures
  2. Comprehensiveness
33
Q

Define personality development

A

Personality Development Continuities, consistencies, and
stabilities in people over time and the ways in which people change over time.

34
Q

Identify rank order stability/instability, mean level stability/change, and personality coherence.

A

Rank order stability
+ Maintenance of individual position within a group.
Mean level stability and change
+ Constancy of or change in level in a population.
Personality coherence
+ Maintaining rank order in relation to others but changing the
manifestations of the trait.

35
Q

Identify the 3 levels of analysis of personality over time

A

Population level
+ Deals with changes and constancies that apply more or less
to everyone.
Group differences level
+ Deals with changes and constancies that affect different
groups differently.
Individual difference level
+ Focuses on individual differences in personality
development.

36
Q

Explain the mean level stability of broad personality factors in from childhood to adulthood, using the Big 5 Factors.

A

+ Moderate to high levels of stability in adulthood
+ Very little change in the average level of stability after
the age of 50.
+ There are small but consistent changes, especially
during the 20’s.
+ Openness, extraversion, and neuroticism decline with
age until 50.
+ Conscientiousness and agreeableness show a gradual
increase with time.

37
Q

Understand how self-esteem may change from adolescence through adulthood and whether adolescents are narcissistic or overconfident, as a cohort.

A

Ideal self – current self = self-esteem
adolescents are more narcissistic