Week 02: Chapters 2 and 3 Flashcards

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1
Q

generalizability

A

The degree to which a measurement can be found under diverse circumstances, such as time, context, participant population, and so on. In modern psychometrics, this term includes both reliability and validity.

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2
Q

case method

A

Studying a particular phenomenon or individual in depth both to understand the particular case and in hopes of discovering general lessons or scientific laws.

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3
Q

What are the disadvantages of I Data (informants’ reports)?

A
  • Limited behavioral information.
  • Lack of access to private experience.
  • Error.
  • Bias.
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4
Q

face validity

A

The degree to which an assessment instrument, such as a questionnaire, on its face appears to measure what it is intended to measure. For example, a face-valid measure of sociability might ask about attendance at parties.

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5
Q

Type II error

A

In research, the mistake of thinking that one variable does not have an effect on or relationship with another, when really it does.

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6
Q

Spearman-Brown formula

A

In psychometrics, a mathematical formula that predicts the degree to which the reliability of a test can be improved by adding more items.

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7
Q

objective test

A

A personality test that consists of a list of questions to be answered by the subject as True or False, Yes or No, or along a numeric scale (e.g., 1 to 7).

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8
Q

What are the disadvantages of L Data (life outcomes)?

A
  • Multi-determination.
  • Possible lack of psychological relevance.
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9
Q

I data

A

Informants’ data, or judgments made by knowledgeable informants about general attributes of an individual’s personality.

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10
Q

correlation coefficient

A

A number between -1 and +1 that reflects the degree to which one variable, traditionally called y, is a linear function of another, traditionally called x.
A negative correlation means that as x goes up, y goes down; a positive correlation means that as x goes up, so does y; a zero correlation means that x and y are unrelated.

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11
Q

expectancy effect

A

The tendency for someone to become the kind of person others expect him or her to be; also known as a self-fulfilling prophecy and behavioral confirmation.

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12
Q

aggregation

A

The combining together of different measurements, such as by averaging them.

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13
Q

What are the disadvantages of B Data (behavioral observations)?

A
  • Difficult and expensive.
  • Uncertain interpretation.
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14
Q

p-level

A

In statistical data analysis, the probability that the obtained correlation or difference between experimental conditions would be expected by chance.

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15
Q

experimental method

A

A research technique that establishes the causal relationship between an independent variable (x) and dependent variable (y) by randomly assigning participants to experimental groups characterized by differing levels of x, and measuring the average behavior ( y) that results in each group.

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16
Q

research

A

Exploration of the unknown; finding out something that nobody knew before one discovered it.

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17
Q

state

A

A temporary psychological event, such as an emotion, thought, or perception.

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18
Q

judgments

A

Data that derive, in the final analysis, from someone using his or her common sense and observations to rate personality or behavior.

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19
Q

construct

A

An idea about a psychological attribute that goes beyond what might be assessed through any particular method of assessment.

20
Q

behavioral confirmation

A

The self-fulfilling prophecy tendency for a person to become the kind of person others expect him or her to be; also called the expectancy effect.

21
Q

measurement error

A

The variation of a number around its true mean due to uncontrolled, essentially random influences; also called error variance.

22
Q

Funder’s Third Law

A

Something beats nothing, two times out of three.

23
Q

What are the techniques that improve reliability?

A
  • Care with research procedure.
  • Standardized research protocol.
  • Measure something important.
  • Aggregation.
24
Q

reliability

A

In measurement, the tendency of an instrument to provide the same comparative information on repeated occasions.

25
Q

effect size

A

A number that reflects the degree to which one variable affects, or is related to, another variable.

26
Q

B data

A

Behavioral data, or direct observations of another’s behavior that are translated directly or nearly directly into numerical form. B data can be gathered in natural or contrived (experimental) settings.

27
Q

What are the advantages of B Data (behavioral observations)?

A
  • Wide range of contexts (both real and contrived).
  • Appareance of objectivity.
28
Q

What are the advantages of I Data (informants’ reports)?

A
  • Large amount of information.
  • Real-world basis.
  • Common sense.
  • Some data are true by definition (e.g. likeability).
  • Causal force.
29
Q

What are the disadvantages of S Data (self-reports)?

A
  • Maybe they can’t tell you.
  • Maybe they won’t tell you.
  • Too simple and too easy.
30
Q

construct validation

A

The strategy of establishing the validity of a measure by comparing it with a wide range of other measures.

31
Q

What are the advantages of L Data (life outcomes)?

A
  • Objective and verifiable intrinsic importance.
  • Psychological relevance.
32
Q

psychometrics

A

The technology of psychological measurement.

33
Q

S data

A

Self-judgments, or ratings that people provide of their own personality attributes or behavior.

34
Q

Type I error

A

In research, the mistake of thinking that one variable has an effect on, or relationship with, another variable, when really it does not.

35
Q

self-verification

A

The process by which people try to bring others to treat them in a manner that confirms their self-conceptions.

36
Q

validity

A

The degree to which a measurement actually reflects what it is intended to measure.

37
Q

Binomial Effect Size Display (BESD)

A

A method for displaying and understanding more clearly the magnitude of an effect reported as a correlation, by translating the value of r into a 2 ! 2 table comparing pre- dicted with obtained results.

38
Q

L data

A

Life data, or more-or-less easily verifiable, concrete, real-life outcomes, which are of possible psychological significance.

39
Q

correlational method

A

A research technique that establishes the relationship (not necessarily causal) between two variables, traditionally denoted x and y, by measuring both variables in a sample of participants.

40
Q

Funder’s Second Law

A

There are no perfect indicators of personality; there are only clues, and clues are always ambiguous.

41
Q

What are the factors to undermine reliability?

A
  • Low precision.
  • State of the participants.
  • State of the experimenter.
  • Variation in the environment.
42
Q

scatter plot

A

A diagram that shows the rela- tionship between two variables by displaying points on a two-dimensional plot. Usually the two variables are denoted x and y, each point represents a pair of scores, and the x variable is plotted on the horizontal axis while the y variable is plotted on the vertical axis.

43
Q

What are the advantages of S Data (self-reports)?

A
  • Large amount of information.
  • Access to thoughts, feelings, and intentions.
  • Some S data are true by definition (e.g. self-esteem)
  • Causal force.
  • Simple and easy.
44
Q

content validity

A

The degree to which an as- sessment instrument, such as a questionnaire, includes content obviously relevant to what it is intended to predict.

45
Q

trait

A

A relatively stable and long-lasting attribute of personality.

46
Q

factor analysis

A

A statistical technique for finding clusters of related traits, tests, or items.