week one - intro to test and measurement Flashcards

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1
Q

definition of measurement

A

measurement is the act of identifying properties of an object

ex. carpenter would use a measuring tape to get the dimensions of a piece of wood

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2
Q

measurement theory

A

field of statistics that describes and evaluates the quality of measurements

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3
Q

examples of where we experience psychometric assessment

A
  • testing in education to under stand student progress
  • passing driving tests
  • credit score testing
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4
Q

psychometrics - common set of fundamental characteristics

A
  1. they should all strive to be accurate
  2. they should measure what they intend to measure
  3. they should produce meaningful scores to make comparisons among individuals
  4. free of bias against members of certain groups
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5
Q

latent construct

A

seek to identify the properties of a psychological object

latent: can not observe it
construct - domain of behaviours

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6
Q

working memory example

A

goal: to access the working memory of two students

working memory is LATENT

Selected Test: Ability to recall strings of digits
Interpretation of Results: More digits recalled = more
working memory

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7
Q

individual vs groups tests

A

individual: given to one person at a time

group: given to a group of people simultaneously

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8
Q

achievement tests

A

assess prior learning

  • persons degree of learning, success or accomplishment in a subject or task
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9
Q

aptitude tests

A

assess potential to learn

  • capability for relatively specific task or skill
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10
Q

intelligence tests

A

ability to solve problems and think abstractly

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11
Q

personality test

A

measure traits, qualities, behaviours that determine person individuality

structured - accept or reject statements of ones self
(usually self report)

projective - reactions to ambitious stimuli are recorded and interpreted
(assumes responses reflect individual characteristics)

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12
Q

behavioural procedures

A

describe and count the frequency of a behaviour, identifying the antecedents and consequences of the behaviour

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13
Q

what is a test

A

technique to quantify a behaviour

composed of ITEMS

item: specific stimuli that produces a response
- usually require multiple items to properly assess the construct

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14
Q

psychometrics

A

the science of evaluating characteristics of a psychological test

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15
Q

criterion vs norm references tests

A

criterion referenced tests - decisions made in comparison to a cut off score

norm referenced tests - score is compared to some reference sample
- expected score from the population
- test taker needs to be part of reference population

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16
Q

Sir Francis Galton (1883)

A

came up with the term PSYCHOMETRY/PSYCHOMETRICS
- father of psychometrics
- suggests there are differences between individuals
- arguably the first to have a large focus on mental diff. bw individuals
- believes anything is measurable

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17
Q

Charles Darwin

A

describes individual differences in animals

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18
Q

Edward Jenner - 4 stage hierarchy of human intellect

A

highest to lowest:

1.mental perfection
2. mediocrity
3 being
4. idiots

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19
Q

who is the father of psychology as a science

A

Wundt
- creation of behaviour tests (ex. working memory)

20
Q

The binet-simon scale (1905)

A
  • first intelligence test to create
  • test compared mental age with chronological age
  • renamed to the stanford binet intelligence scale
21
Q

army beta

A

specifically for those with little to no reading ability and used pictures and diagrams for assessing skills

22
Q

world war 1

A

the testing was successful
- achievement tests began to be created and implemented
- by 1920s testing was occurring in nearly all industries and work forces

23
Q

traits

A

relatively enduring dispositions that distinguish one person from another

24
Q

Minnesota Multiphasic Personality
Inventory (MMPI)

A
  • factor analysis made rapid developments
  • allowing creation and assesmenent of complex constructs
25
Q

factor analysis

A

allows the assessment of number of
dimensions (called factors) in a measure, identify a minimal set of items needed, and help confirm whether a measure
matches what we believe it is measuring (the factor
structure)

26
Q

inferential statistics

A

provide predictions about a population based on data from a sample of that population

27
Q

what are the 4 major variable types

A

ratio, interval, ordinal, nominal

28
Q

Ratio Data

A
  • continuous
  • can rank values
  • zero is meaningful
  • can describe differences between values

ex. personal income, age, time

29
Q

Interval Data

A
  • continuous
  • can rank values
  • zero is NOT meaningful
  • can only apply addition and subtraction

ex. Fahrenheit Temperature

30
Q

Discrete Data

A
  • values cant be fractions, only whole numbers

ex. number of children, count data

31
Q

ordinal data

A
  • categorical
  • can rank/order the categories
  • zero is NOT meaningful

ex. income categories, likert scales

32
Q

Nominal data

A
  • categorical
  • can not rank/order the categories
  • zero is NOT meaningful

ex. ethnicity, martial status, province of residence

33
Q

Single-variable (Univariate) tables

A

left side indicates catgeories of the nominal or interval variable (rows)

types of info - frequency, percentage, count (collumns)

34
Q

Relative Frequency

A

Number of times that value occurs/ number of observations in the data set

ex. suppose we have 200 observations on x = number of prior arrests. if 70 of these x values are 1 then

x = 70

70/200 = 0.35 (35%)

35
Q

Mean

A

average from all the values in the sample

36
Q

Median

A

represents the exact middle point in the sample

  • in psychometrics, most likely to use a mean instead of median
37
Q

Dispersion

A

variation among values

greater dispersion = greater range of scores = more possible differences could exist between scores

greater dispersion = central tendecy becomes less meaningful

38
Q

Range

A

= maximum value - minimum value

39
Q

Deviation

A
  • measure of distance from the mean

Deviation = value - mean

40
Q

standard deviation

A

square root of the variance

41
Q

Variance

A
  1. Find the mean of the given data set. Calculate the average of a given set of values.
  2. Now subtract the mean from each value and square them.
  3. Find the average of these squared values, that will result in variance.
42
Q

Percentiles

A

value where a specific percent of the remaining values will be less than it

  • ex. if someone has an IQ test score in the top 5%, you can have evidence they are gifted
43
Q

Correlation

A

measure of the behaviour between two variables
- strictly a measure of behaviour

44
Q

Properties of Correlation

A

1.The value of r does not depend of which variable we
designate X or Y.
2.The value of r is independent of scale of X and Y
3.-1 <= r <= 1
4.r=1 if and only if all (xi,yi) pairs lie on a straight line
with positive slope. r=-1 in the case for a negative
slope

45
Q

Spearmen Rho

A

correlation coefficient for ordinal data, commonly used for psychological measurement

  • can not use for categorical data