1 - Measurements Flashcards

1
Q

define measurement

A

assigning of scores to represent a characteristic

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2
Q

measurement quantification allows researchers to?

A

ask if there is a mathematical relationship present

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3
Q

Psychological measurement is known as

A

psychometrics

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3
Q

are three categories of measures.
what are they?

A
  • Self-report measures e.g. Likert scales
  • Behavioural measures e.g. naturalistic observations
  • Physiological measures e.g. heart rate
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4
Q

There are four scales of measurement with increasing amounts of information in each level.
what are they?

A
  • Identity or qualitative difference
  • Magnitude or rank order
  • Equal intervals
  • True or absolute zero
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4
Q

what are constructs

A

variables that cannot as easily be assessed/measured

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5
Q

Conceptual definitions describe ?

A

the behaviours and internal processes that make up the construct

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6
Q

give 2 characteristics of the interval scale

A
  • Adds equal intervals (necessary for most statistical analyses)
  • Arbitrary zero point -the value of zero has no real meaning- (e.g., z scores - a statistical measurement of a score’s relationship to the mean in a group of scores)
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7
Q

give 5 characteristics of the nominal scale

A
  • Simplest scale with only qualitative difference or identity
  • Mutually exclusive ‘name’ categories
  • Words as labels (e.g., male/female)
  • Numbers used as labels (e.g., sports jerseys)
  • Not ordered.
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8
Q

give 4 characteristics of the ordinal scale

A

Adds rank order or magnitude (e.g., rank class by height)
MORE information than nominal
But we do NOT know what the difference is between the ranks (e.g., differences between 1 and 2 versus between 2 and 3 like height, time taken to finish a race)

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9
Q

give 3 qualities of the ratio scale

A
  • Adds absolute zero
  • Absence of the quality (e.g., money in my bank account)
  • Allows for legitimate ratios (e.g., twice as heavy)
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10
Q

NOIR: nominal (1)

A

category labels

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11
Q

NOIR: ordinal (2)

A

category labels
rank order

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12
Q

NOIR: interval

A

category labels
rank order
equal intervals

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13
Q

NOIR: ratio

A

category labels
rank order
equal intervals
true zero

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14
Q

define reliability

A

reliability is consistency (getting (roughly) the same score when repeatedly measured)

15
Q

define validity

A

Validity: ‘actually’ measuring what you intended to measure.

15
Q

data can be reliable and not valid but cannot be

A

valid and not reliable

15
Q

what is internal consistency?

A

reliability can also be assessed at one point in time

16
Q

If observations are consistent, then you have?

A

inter-rater reliability

17
Q

define face validity

A

the content of the measure appears to reflect the construct being measured
(Appears to be measuring what it claims to measure)

17
Q

define content validity

A

the content of the measure is linked to the universe of content that defines the construct.
(Does it tap into all the important aspects of the constructs)

18
Q

define predictive validity

A

scores on the measure predict behaviour on a criterion measured at a time in the future
(Does the measure actually predict behaviour)

19
Q

define concurrent validity

A

scores on the measure are related to a criterion measured at the same time
(Relationship between a measure and a behaviour occurring at the same time OR whether two or more groups behave in expected ways )

20
define convergent validity
scores on the measure are related to other measures of the same construct (Occurs when a measure correlates strongly with an established measure)
21
define discriminant validity
scores on the measure are not related to other measures that are theoretically different. (When variables are NOT related to variables they should not be related to)
22
which variable is systematically manipulated?
independent variable
23
which variable is measured/observed?
dependent variable
24
define participant variable
characteristics of participants that can be used as predictors but can NOT be manipulated (e.g., race, age, etc.)
25
define confounding variable
any factor that obscures the relationship between the independent and dependent variables.
26
define maturation + when is it a concern?
the effect of the passage of time. This is a concern in longitudinal studies – especially with children
27
define history + when is it a concern?
the effect of external events on study outcomes = events that may impact the dependent variable. The longer the time between pre and post-test measures, the greater the threat to validity
28
define repeated testing/practice + when is it a concern?
getting better with practice This is a concern for repeated measures designs
29
define regression towards the mean
tendency for extreme scores to be followed by more moderate scores.
30
define selection
experimenting with non-equivalent groups – people sign up to take part (bias).
31
define mortality
biased results based on who leaves the study
32
define diffusion of treatment
participants talk to one another
33
define sequencing (order effects)
concern in within-subject designs – outcomes change depending on which condition you take part in first.
34
define fatigue effect
get tired after repeated measurement