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

More documents

Recommendations

Info

Random Rater Design: Reliability for Individual Score MSB ICC = Source | Partial SS df MS ---------+-------------------------------- Model | 134.00 11 12.1818182 ta | 114.00 9 12.6666667 Rater | 20.00 2 10.00 Residual | 10.00 18 .555555556 -----------+------------------------------ Total | 144.00 29 4.96551724 MSB − MSE + ( m −1) * MSE + m * ( MSRater − MSE ) / I 12.67 – 0.56 12.67 +( 2*.56) + 3*(10.0 – .56)/10 = .72
Summary 1. Unique Rater Design: Each subject rated by a different set of m raters; formulas use between and within mean square variance 2. Fixed Rater Design: Each target is rated by each of the same m raters, who are the only raters of interest; formulas use between and error square variance 3. Random Rater Design: m raters, in (2), were drawn from a random sample of raters; formula uses between and error square variance, adjusting for rater variance
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 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: Random Rater Design: Reliability fo
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
Page 61 and 62: Question 11 Measures of self-report
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

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

You also want an ePaper? Increase the reach of your titles

Delete template?

Save as template?