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

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+ - + 50 10 60 - 10 30 40 60 40 100 + - + 60*60/100=36 60*40/100=24 60 - 60*40/100=24 40*40/100=16 40 60 40 100 Solution 10
Question 11 Measures of self-reported discrimination sometimes violate the assumptions of classical test theory. Please provide a substantive example of violation for each of the three assumptions.
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• Review of ANOVA Outline • Int
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Are the true means for each group d
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. oneway score1 group Analysis of V
Page 9 and 10: . oneway score13 group Analysis of
Page 11 and 12: Overview • Unique Design: Each 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: Question 10 Two psychiatrists disag
Page 63 and 64: Question 12 An 10-item ASP measure
Page 65 and 66: 3. Determine how many items to add
Page 67 and 68: Fixed Effects (a) Set by experiment
Page 69: • We already saw an example of th
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Lecture 4: Principles of Psychometrics: Reliability II - jhsph ocw

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