1 - Measurements Flashcards

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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
Q

define convergent validity

A

scores on the measure are related to other measures of the same construct
(Occurs when a measure correlates strongly with an established measure)

21
Q

define discriminant validity

A

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
Q

which variable is systematically manipulated?

A

independent variable

23
Q

which variable is measured/observed?

A

dependent variable

24
Q

define participant variable

A

characteristics of participants that can be used as predictors but can NOT be manipulated (e.g., race, age, etc.)

25
Q

define confounding variable

A

any factor that obscures the relationship between the independent and dependent variables.

26
Q

define maturation + when is it a concern?

A

the effect of the passage of time.
This is a concern in longitudinal studies – especially with children

27
Q

define history + when is it a concern?

A

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
Q

define repeated testing/practice + when is it a concern?

A

getting better with practice
This is a concern for repeated measures designs

29
Q

define regression towards the mean

A

tendency for extreme scores to be followed by more moderate scores.

30
Q

define selection

A

experimenting with non-equivalent groups – people sign up to take part (bias).

31
Q

define mortality

A

biased results based on who leaves the study

32
Q

define diffusion of treatment

A

participants talk to one another

33
Q

define sequencing (order effects)

A

concern in within-subject designs – outcomes change depending on which condition you take part in first.

34
Q

define fatigue effect

A

get tired after repeated measurement