mod 1 - assessment + measurement Flashcards

1
Q

How do researchers measure personality?

A

S data, O data, T data, L data

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2
Q

describe S data

A

○ Researchers can ask individuals what they think their personality traits are (Self-report data;
Interviews, periodic reports, surveys, questionnaires (most widely used)
individuals have access to a wealth of information about themselves that is inaccessible
to anyone else, such as their habitual level of anxiety
§ Most common
§ Pro: u know urself best + see urself in every situation - more info about urself and access to ur thoughts and feelings
§ Con: you might not be self-aware or honest

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3
Q

describe O data

A

capitalize on sources for gathering information about a person’s personality (friends,
family, teachers, etc.)
observers may have access to information not attainable through other sources
omultiple observers can be used to assess each individual
oallows investigators to evaluate the degree of agreement among observers—
inter-rater reliability
more valid and reliable assessment
§ Pros: might know you better if its ur family, seem more objective, can ask multiple informants from different contexts and aggregate.
§ Cons: less in your head, might only know what you are like in a specific situation
disadvantage is close relationships may cause observers to overlook negative
features – bias

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4
Q

describe T data

A

can design laboratory studies to detect what someone’s personality traits are (Test-data; T-data).
§ Pros: more direct and most objective, not influenced by emotional investment or biases
§ Cons: still judgement calls on behavior coding that might have little context (not clearcut), no clear direct line between behavior and traits (has to be inferred)
§ In or out of the lab
§ Can be hard to implement bc directly measuring
§ Common
§ Out of the lab can be trickier to measure

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5
Q

describe L data

A

can look at real life indicators to detect people’s personality traits (Life-outcome data; L-data).
§ Pros:
§ Cons: not 1-1 mapping (like test data), always some guess work
§ Look at records
§ Might need consent, might be accessible publically

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6
Q

what results are most powerful?

A
  • there are multiple approaches to studying personality.
    • Researchers will adopt a variety of approaches to measure personality.
      Results that replicate through “triangulation” are the most powerful
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7
Q

Define self-report data, and give examples of unstructured and structured questions

A
  • (S-data)—the information a person reveals about themselves.
    open-ended “fill in the blank” questions (unstructured)
    oTwenty Statements Test - participant receives a sheet of paper that is essentially
    blank, except for the words “I am” repeated 20 times. There is a space after each
    of these partial statements, and participants are asked to complete them
    forced choice true-or-false questions (structured)
    likert-type scale: express with numbers the degree to which a trait described
    them
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8
Q

Explain what a Likert-type scale and a personality scale are, and give examples of adjective/checklist questionnaires vs statement questionnaires.

A
  • A more complex method involves
    requesting participants to indicate in numerical form the degree to which each trait term characterizes them,
    say on a 7-point rating scale of 1 (least characteristic) to 7 (most characteristic). This is called a Likert-type scale
    • A personality scale typically involves summing the scores on a series of individual rating scales like the one
      above. A personality scale for activity level, for example, might consist of adding up scores from rating scales on energetic, active, and vigorous (adjective).
  • statement questionaire: Sample items from the CPI

are: I enjoy social gatherings just to be with people; I looked up to my father as an ideal man; A person needs to
“show off” a little now and then; I have a very strong desire to be a success in the world; I am very slow in making
up my mind. Participants read each statement and then indicate on an answer sheet whether they agree with
the statement and feel that it is true of them or disagree with the statement

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9
Q

define experience sampling.

A

In this method,
people answer some questions, perhaps about their moods or physical symptoms, every day for
several weeks or longer. People are usually contacted electronically (paged) one or more times a
day at random intervals to complete the measures.

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10
Q

What are the pros and cons of using naturalistic observation and artificial observation.?

A

naturalistic observation: observers witness and record events that occur in the normal
course of the lives of their participants
ooffers researchers the ability to secure information in the realistic context of a
person’s everyday life, but at the cost of not being able to control the events and
behavioral samples witnessed

artificial observers: Experimenters can instruct participants to perform a task, such as
participation in a group discussion, and then observe how individuals behave in these
constructed settings
ocontrolling conditions and eliciting the relevant behavior
osacrificing the realism of everyday life

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11
Q

briefly describe the design and findings of Megargee’s research into dominance.

A

Megargee study where pairs were: (1) high dominant male + low dominant male, (2)
high dominant female + low dominant female, (3) high dominant male + low dominant
female, (4) high dominant female + low dominant male
o75% of high-dominant men, 70% of high-dominant women took leadership role
in the same-sex pairs
ohigh-dominant men paired with low-dominant women, 90% of the men became
leaders
ohigh-dominant women and low-dominant men, 20% of high-dominant women
assumed the leadership role
ohigh-dominant women were appointing their low-dominant partners to the
leadership position - women were expressing dominance in a different manner
participants might try to guess what trait is being measured and then alter their
responses to create a specific impression of themselves
difficulty in verifying that the research participants define the testing situation in the
same way as the experimenter
researcher may inadvertently influence how the participants behave

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12
Q

O data types of observers?

A

Types of Observers
observers who are personality assessors who do not know participants in advance
observers who know the participant
in better position to observe target’s natural behavior
multiple social personalities can be assessed – different personalities for
different groups of people

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13
Q

explain how T-data can be collected a) in a lab, b) using a mechanical recording device,

A

in a lab - standardized test
Mechanical Recording Devices
actometer: modified self-winding watch, strapped to the arms/legs of participants
(typically, children)
not hampered by biases of human observer and can be used in naturalistic settings
few personality dispositions lend themselves to mechanical assessment

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14
Q

define life-outcome data, and briefly describe the design and findings of Caspi and colleagues research into temper tantrums

A

ife-Outcome Data (L-Data)
information that can be gleaned from the events, activities, and outcomes in a person’s
life that are available to public scrutiny i.e. marriage, speeding ticket
Personality psychologists often use S-data and O-data to predict L-data
driving records, including speeding tickets and traffic accidents, are used by insurance
companies to determine how much we pay for car insuranc

-caspi interviewed children ages 8,9,10 and mothers
-used two personality scales to measure illed temperness - severity and frequency (O data bc based on mothers observations)
- in adulthood (30-40 yrs) researchers gathered Life outcome info and expmained if the O data predicted the L data findings
was found that they did - ill temper was more connected to erratic work lives, divorce, marrying partners with a lower occupational status

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15
Q
A
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16
Q

Do the sources of data generally agree with each other? What traits tend to have more agreement? Why is triangulation important?

A

Depending on the personality variable under consideration, agreement across data sources tends to range from
low to moderate.
trait. Traits such as extraversion showed moderate agreement across data
sources. The trait of “calculating,” on the other hand, showed low self–spouse agreement. Traits that are easily

observable (such as extraversion) show a higher degree of self–observer agreement than do traits (such as cal-
culating) that are difficult to observe and require inferences about internal mental states

, is to examine results that transcend data sources—
a procedure sometimes referred to as triangulation.-findings that transcend the limitations of single-data-source
assessment.

17
Q

how to collect t data in ) from physiology,

A

Physiological Data
eyeblink startle reflex - When people are startled, as when a loud noise occurs, they
show the startle reflex, which consists of blinking their eyes, lowering the chin toward the chest, and inhaling suddenly – it was found that psychopaths did not exhibit this
reflex
oPerhaps psychopaths commit their crimes because they don’t have the normal
level of anxiety or guilt that prevents most of us from doing anything wrong
functional magnetic resonance imaging (fMRI): used to identify the areas of the brain
that “light up” when performing certain tasks such as verbal problems or spatial
navigation problems
key benefits of physiological data are that it is difficult for participants to fake responses

18
Q

how to collect t data or d) from a projective test.

A

projective Techniques
person is given a standard stimulus and asked what he or she sees
the person “projects” his or her concerns, conflicts, traits, and ways of seeing or dealing
with the world onto the ambiguous stimulus
gathers info about wishes, desires, etc. a person is not aware about
difficult to score, uncertain validity and reliability

19
Q

Researchers evaluate personality measures by examining what three things?

A

reliability (consistency of measurement), validity (does the test measure what it claims to measure), and generalizability of assessments

20
Q

describe test retest reliability

A

: Consistency of a measure over time.
The greater the time frame, the lower the expected reliability.For example, if you complete a questionnaire in September, will you get the same score in December? This can depend on what you are measuring (e.g., is the construct stable like intelligence, or does it change frequently like current feelings of anger?) and the time frame between measurements (e.g., having someone complete a questionnaire 2 months apart versus 20 years apart).

21
Q

describe Inter-item reliability/internal consistency:

A

Consistency of items that go into the overall score. In other words, do all of the items on the questionnaire measure the same thing? This can depend on how broad your measure is (e.g., a questionnaire that measures both anxiety and depression would have a lower internal consistency than one that measures only depression), and how well written it is (e.g., poorly worded or confusing items lead to lower internal consistencies).

22
Q

describe Inter-rater reliability:

A

Consistency of scores across observers. If two psychologists give you the same test, will they arrive at the same score? This is influenced by the quality of the test (e.g., is it easy to use? Is the scoring highly subjective?) and the training of the observers.

23
Q

describe face validity

A

The test looks like it measures what it claims to measure. Be aware that sometimes we want a test to have low face validity. For example, if we are screening potential police officers, we might want to measure aggressive tendencies. However, if the test looks like a measure of aggression, the candidates might try to lie about how aggressive they are. Therefore, we would want our aggression questionnaire to have lower face validity.

24
Q

describe Predictive/criterion validity:

A

The measure predicts criteria external to the test. In other words, does it predict some real-world outcome, such as whether or not you will do well in a given career or how healthy you will likely be later in life. You have to use a good theory to decide what behaviours/outcomes should be predicted by your test.

25
describe Convergent validity
measure relates as it should to other measures. For example, does your new test of impulsivity relate to other established measures of impulsivity?
26
describe Discriminant validity
A measure DOES NOT relate to other measures that it should not relate to. For example, if we theorize that perfectionism is unrelated to drinking habits, we should find that our measure of perfectionism does not correlate with measures of drinking.
27
describe construct validity
A test measures what it is supposed to measure, does not measure what it’s not supposed to measure, and predicts outcomes that it should. In other words, construct validity subsumes/includes predictive, convergent, and discriminant validity. This can be proven only with numerous studies testing each of the other types of validity.
28
define Generalizability
Generalizability is the extent to which a measure is valid and reliable across different contexts (e.g., cultures, genders, languages). Generally, we want our measures to work in multiple contexts, but this is not always appropriate. For example, a measure of procrastination in students may ask if you often submit assignments at the last minute. If you attempted to use this measure with senior citizens, questions like that would not generalize, and it would be better for us to develop a new measure
29
When would a test have high (or low) test–retest reliability, internal consistency reliability, and inter-rater reliability?
30
What are response sets?
the tendency of some people to respond to the questions on a basis that is unrelated to the question content (aka non-content responding) -acquiescence: tendency to simply agree with the questionnaire items, regardless of the content of those items -extreme responding: tendency to give endpoint responses, such as “strongly agree” or “strongly disagree,” and to avoid the middle part of response scales, such as “slightly agree” or “slightly disagree.”
31
Why do personality psychologists worry about the effects of response sets on the reliability of a measurement?
If a par- ticipant is responding not to the content of the questions but on another basis, then the answers do not reflect the aspect of personality being measured. Response sets may invalidate self-report measures of personality,
32
What is socially desirable responding?
Social desirability: tendency to answer items in such a way as to come across as socially attractive or likable
33
How do researchers interpret social desirability?
One view is that it represents distortion and should be eliminated or minimized. The other view is that social desirability is a valid part of other desir- able personality traits, such as happiness, conscientiousness, or agreeableness.
34
How do researchers deal with the problem of social desirability?
Ways to limit social desirability: oassume that they are erroneous or deceptive, to measure this tendency, and to remove it statistically from the other questionnaire responses odeveloping questionnaires that are less susceptible to this type of responding ouse a forced-choice questionnaire format
35
what is generalizability?
Generalizability is the extent to which a measure is valid and reliable across different contexts (e.g., cultures, genders, languages). Generally, we want our measures to work in multiple contexts, but this is not always appropriate. For example, a measure of procrastination in students may ask if you often submit assignments at the last minute. If you attempted to use this measure with senior citizens, questions like that would not generalize, and it would be better for us to develop a new measure.