Semester 2 Lectures and Labs Flashcards

1
Q

Reliability

A

consistency of scores over time

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2
Q

Definition of a test

A

a Test is a measurement device or technique used to quantify or aid in the understanding or prediction of behaviour

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3
Q

Features of a test

A
  • standardised
  • objective
  • definition of a measure
  • has items (questions)
  • should be normed
  • needs to be reliable and consistent
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4
Q

Assumptions in tests

A
  • it is valid
  • behaviour on the test score will be stable over time
  • individuals understand items similarly
  • true score +/- error
  • individuals will report accurately
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5
Q

Why do we control the use of tests?

A
  • misuse & misinterpretation
  • prevent familiarity
  • given by qualified administrator who can interpret the results accurately
  • practice effects
  • test results label people
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6
Q

What is psychological measurement?

A

process of assigning numbers to a person in a way that the attributes of the person are faithfully reflected in the properties of the numbers

assigning numbers based on rules and definitions

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7
Q

Measures of variability

A

range, interquartile range, outliers

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8
Q

Standard deviation

A

is the square root of the variability.

gives us a point of reference in relation to the mean

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9
Q

Z Scores

A
  • score - mean / SD
  • translates the score to a normal distribution
  • standardises the results .: the results are more interpretable than raw scores
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10
Q

Normal Curve

A
  • assume 100% of the population is captured
  • larger samples are more likely to be normally distributed
  • A SD is the average distance a score falls from the mean
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11
Q

Criterion based testing

A
  • no comparison to other test takers
  • focus is on what they can do/know
  • not objective
  • how many questions do you need to reliably assess the objectives?
  • what is the threshold to pass?
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12
Q

Correlation

A
  • tells you the strength and direction of the relationship between two variables
  • range -1 to +1
  • we can’t make a prediction
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13
Q

Regression

A
  • similar to correlation
  • can make predictions
  • the stronger the correlation, the higher the predictive validity
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14
Q

Y Hat

A

is the value on the prediction line

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15
Q

A (Regression)

A

is the intercept on Y when X=0

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16
Q

B (Regression)

A

Is the slope of the line

17
Q

Residuals

A
  • ‘bits that don’t fit on the lone
  • the more residuals the weaker the correlation
  • the SD of the residuals gives us the standard error of the estimate
18
Q

Standard error of Estimate (SEE)

A

the SD of the residuals