reliability and validity n.
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Reliability and Validity - PowerPoint PPT Presentation


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Reliability and Validity. What is Reliability?. A measure is considered reliable when: there is very little error in the measurement Measurement remains constant under specific conditions. Types of Error. Random Systematic. Effect of Unreliable Measures. Meaningless results

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Presentation Transcript
what is reliability
What is Reliability?
  • A measure is considered reliable when:
    • there is very little error in the measurement
    • Measurement remains constant under specific conditions
types of error
Types of Error
  • Random
  • Systematic
effect of unreliable measures
Effect of Unreliable Measures
  • Meaningless results
  • Inappropriate conclusions
test retest reliability
Test-Retest Reliability
  • Equipment reliability
  • Intertester reliability
  • Intratester reliability
interclass correlation coefficient
Interclass Correlation Coefficient
  • Measure multiple times
  • Assess consistency of measure
  • Pearson r
    • -1.0 - 1.0
      • -1.0 = perfect negative linear relationship
      • 0 = no linear relationship
      • 1.0 = perfect positive linear relationship
intraclass correlation coefficient
Intraclass Correlation Coefficient
  • ICC
  • Sensitive to changes in:
    • Calibration
    • Error from one test to next
    • Multiple tester interaction
  • Sources of variance
    • Between subjects
    • Between occasions
    • Interaction between subject and test
      • Error
outcomes for the icc
Outcomes for the ICC
  • Table 9-1
  • Table 9-2
  • Table 9-3
  • Table 9-4
icc calculation
ICC Calculation
  • Repeated measures ANOVA
  • ICC calculated from
    • BMS
    • TMS
    • EMS
precision
Precision
  • Standard error of the measure
    • SEM
    • As reliability increases SEM decreases