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Reliability

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In psychometrics, reliability refers to consistency in measurement. Error Variance ... Evaluate the consistency among judges who are rating the same behavior ... – PowerPoint PPT presentation

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Title: Reliability


1
Reliability
2
Todays Objectives
  • Define measurement error and describe how it
    interferes with psychological studies
  • Know that reliability is the ratio of true
    variability to observed variability
  • Name major sources of error variance
  • Describe methods for assessing reliability

3
Reliability
  • In psychometrics, reliability refers to
    consistency in measurement

4
Error Variance
  • Score X is a reflection of the true score on the
    psychological construct being measured plus
    error.
  • X T E

5
Error Variance
  • If we wanted to measure spelling ability, the
    best technique would be to systematically go
    through the dictionary and have a person spell
    every word, which would be the TRUE score for
    spelling ability.
  • But, that would be a terrible way to spend the
    summer.
  • Better method would be to take a random sample of
    words from the dictionary.
  • Reliability analysis is estimating how much error
    we would make by using the score from the shorter
    test as an estimate of spelling ability.

6
Error Variance
  • The greater the proportion of variance attributed
    to the s E , the less reliable the test.
  • s 2 s T 2 s E 2 s S 2

7
Error Variance
  • A measurement is reliable if it reflects mostly
    the variability of the true score, relative to
    the error
  • Reliability
  • s T 2 /( s T 2 s E 2)
  • Put differently, its the ratio of true
    variability to observed variability

8
Error Variance
  • This item is probably an unreliable measure of a
    persons feelings toward iguanas.
  • Why? Ample individual differences abound
    regarding feelings toward mating.
  • Mating iguanas are particularly ugly.
  • 012345
  • Disagree completely Agree
    Completely

Reliability s T 2 /( s T 2 s E 2)
9
Measuring Reliability
  • Suppose you measured the height of every member
    of your family with a crude stick.
  • The goal is to reliably distinguish between
    individuals.
  • What would be more reliable Measuring everyone
    once, or measuring each person 100 times and then
    taking the average across the 100 measurements as
    the final measure of each persons height?

10
Measuring Reliability
  • Principle Numero Uno
  • The more items on a test, the better the
    reliability.
  • This is because errors will be randomly
    distributed across items, and sum to zero.
  • For example, when given Flying iguanas are ugly
    as a test item, people who are for/against mating
    will be randomly for/against flying.

11
Measuring Reliability
12
Measuring Reliability
13
Sources of Error Variance
  • Test construction
  • Test administration
  • Test scoring and interpretation

14
Sources of Error Variance
  • Misinterpretation
  • Social Desirability
  • Misunderstanding the Instructions
  • Attention Seeking
  • Forgetting

15
Reliability Estimates
  • Test-Retest Method
  • The test is administered twice at two different
    points in time.
  • Assumes that there will be no change in the
    quality or construct being measured.
  • Test-retest reliability is best used for things
    that are stable over time, such as intelligence.

16
Reliability Estimates
  • Parallel-Forms/Alternate Forms Method
  • Parallel tests have identical true scores and
    identical error variances.
  • Alternate forms are two forms of a tests whose
    items are intended to measure the same thing and
    do not differ from each other in any systematic
    way.
  • E.g., Watson-Glaser Critical thinking test items
  • Test A Terry don't worry about it. You'll
    graduate someday. You're a college student.
    Right? And all college students graduate sooner
    or later.
  • Test B Charlie, don't worry about it. You'll get
    a promotion someday. You're working for a good
    company. Right?. And everyone who works for a
    good company gets a promotion sooner or later.

17
Reliability Estimates
  • Split Half
  • Correlate scores from equivalent halves of a
    single test administered once.
  • Goal is usually to create parallel forms.
  • Divide the items on the test into equivalent
    halves
  • Correlate the scores between the two halves
  • Adjust the result to take into account that if
    you were to reduce the items, reliability would
    decrease (Spearman-Brown formula)

18
Reliability Estimates
  • Interrater Reliability Method
  • Evaluate the consistency among judges who are
    rating the same behavior

19
Summary
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