Lecture 4: Principles of Psychometrics: Reliability II - jhsph ocw

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Intraclass correlation: Assessing inter-rater reliability • As before, reliability defined as: variance in true scores ⁄ variance in observed scores • For the intra-class correlation the specific form of this equation can take on at least six different forms • The correct form to use depends on the study design and the researcher’s assumptions about the patients and subjects (or items) • I will discuss three designs, each with two ICCs
Overview • Unique Design: Each of the I subjects rated by a unique set of m raters (m>1), such that the total number of raters, R, is m*I • Fixed Design: Each subject is rated by each of the same m raters, such that the total number of raters, R is m. These raters are the only raters of interest. • Random Design: m raters are drawn from a larger pool of raters. Each of the I subjects is rated by each of the m raters. Again, the total number of raters, R is m. NOTE: raters might be people or questionnaire items
Page 1 and 2: This work is licensed under a Creat
Page 3 and 4: • Review of ANOVA Outline • Int
Page 5 and 6: Are the true means for each group d
Page 7 and 8: . oneway score1 group Analysis of V
Page 9: . oneway score13 group Analysis of
Page 13 and 14: Fixed Design • Total Overlap of R
Page 15 and 16: Types of Reliability • There are
Page 17 and 18: Unique Rater Design ICC Equation to
Page 19 and 20: Between Mean Score Variance Degree
Page 21 and 22: Unique Rater Design (cont’d) 2) W
Page 23 and 24: Unique Rater Design Shortcut: Use p
Page 25 and 26: Important Note 1. Reliability is a
Page 27 and 28: Reliability of Individual Scores in
Page 29 and 30: Fixed Rater Design Recall that the
Page 31 and 32: 5 5.5 6 6.5 7 Rater Mean Variance 1
Page 33 and 34: Steps in Stata 1. Calculate overall
Page 35 and 36: Fixed Rater Design Equation to esti
Page 37 and 38: Random Rater Design: Reliability fo
Page 39 and 40: Summary 1. Unique Rater Design: Eac
Page 41 and 42: Question 1 State the conditions und
Page 43 and 44: Question 2 You have developed a new
Page 45 and 46: Question 3 Doesn’t high reliabili
Page 47 and 48: Question 4 Imagine two graphs, Figu
Page 49 and 50: Question 5 Using observed score as
Page 51 and 52: Question 6 Using observed score as
Page 53 and 54: Question 7 Scenario 1: Reported cor
Page 55 and 56: Question 8 A. How are the alpha and
Page 57 and 58: Question 9 For a ten-item scale wit
Page 59 and 60: Question 10 Two psychiatrists disag
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Question 11 Measures of self-report
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Question 12 An 10-item ASP measure
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3. Determine how many items to add
Page 67 and 68:
Fixed Effects (a) Set by experiment
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• We already saw an example of th
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Lecture 4: Principles of Psychometrics: Reliability II - jhsph ocw

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