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Rater Bias & Sibling Interaction Meike Bartels Boulder 2004

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Presentation on theme: "Rater Bias & Sibling Interaction Meike Bartels Boulder 2004"— Presentation transcript:

1 Rater Bias & Sibling Interaction Meike Bartels Boulder 2004
Seventeenth International Workshop On Methodology of Twin And Family Studies Boulder, CO, 2004

2 Shared Environment (C) Nonshared Environment (E)
GENES (A) ENVIRONMENT Shared Environment (C) Nonshared Environment (E) Seventeenth International Workshop On Methodology of Twin And Family Studies Boulder, CO, 2004

3 The Univariate Model 1 1/.5 A E C TWIN I TWIN II
Seventeenth International Workshop On Methodology of Twin And Family Studies Boulder, CO, 2004

4 Variance Decomposition of AGG based on mother ratings at age 10
Aboy ( ) Agirl ( ) Cboy ( ) Cgirl ( ) Eboy ( ) Egirl ( ) Seventeenth International Workshop On Methodology of Twin And Family Studies Boulder, CO, 2004

5 Problem Behavior Questionnaires ages 3, 5, 7, 10 en 12
- mother ratings father ratings teacher ratings (ages 7, 10, and 12) self report (ages 12, 14, 16) Achenbach System of Empirically Based Assessment (ASEBA) Seventeenth International Workshop On Methodology of Twin And Family Studies Boulder, CO, 2004

6 Parental Ratings Seventeenth International Workshop On Methodology of Twin And Family Studies Boulder, CO, 2004

7 correlations Seventeenth International Workshop On Methodology of Twin And Family Studies Boulder, CO, 2004

8 Twin correlations Aggressive Behavior same rater different rater
RMZ RDZ Seventeenth International Workshop On Methodology of Twin And Family Studies Boulder, CO, 2004

9 Variance Decomposition
A = 2(rmz-rdz) = 2 ( ) = .74 C = rmz – 2 (rmz-rdz) = .89 – 2( ) = .14 E = 1- rmz = =.14 Aggressive Behavior same rater different rater A (A + rater specific view) .68 C (rater bias !!) .00 E (E + rater error) .32 Seventeenth International Workshop On Methodology of Twin And Family Studies Boulder, CO, 2004

10 influences the C factor
Rater Bias influences the C factor Respons Bias stereotyping, different normative standards, response style Projection Bias Psychopathology of the parent influences his/het judgement of the behavior of the child (Several studies suggest that depression in mothers may lead to their overestimating their children’s symptomology) Seventeenth International Workshop On Methodology of Twin And Family Studies Boulder, CO, 2004

11 Cholesky Decomposition
AGGm AGGf A E C Seventeenth International Workshop On Methodology of Twin And Family Studies Boulder, CO, 2004

12 Cholesky Decomposition
Boys [=A%(A+C+E)] [=C%(A+C+E)] [=E%(A+C+E)] Girls [=A%(A+C+E)] [=C%(A+C+E)] [=E%(A+C+E)] Seventeenth International Workshop On Methodology of Twin And Family Studies Boulder, CO, 2004

13 Rater Bias Model A E C 1/ 0.5 1 1 1 1 1 Mothers Bias Fathers Bias c c
Reliable trait variance T1 mother rating T1 father rating T1 Rm T1 Rf T1 Mothers Bias Reliable trait variance T2 mother rating T2 father rating T2 Rm T2 Rf T2 Fathers Bias 1/ 0.5 1 c c e a a e 1 1 1 1 rm bf rm rm bm bm bf bf Seventeenth International Workshop On Methodology of Twin And Family Studies Boulder, CO, 2004

14 Total variance for an individual
+ MRT1 FRT1 = 1 x a A c C e E Bm Bf bm 0 0 bf Rm Rf rm 0 0 rf Seventeenth International Workshop On Methodology of Twin And Family Studies Boulder, CO, 2004

15 Variance-Covariance Matrices in Mx
Table 1: CBCL-items of the syndrome Aggressive Behavior for the CBCL/2-3 and CBCL/4-18 Variance-Covariance Matrices in Mx MZ (S+F | S_ S | S+F) + L*(A+C+E | A+C_ A+C | A+C+E )*L' ; DZ (S+F | S_ S | S+F) + L*(A+C+E | | A+C+E )*L' ; Seventeenth International Workshop On Methodology of Twin And Family Studies Boulder, CO, 2004

16 The Mx Script Mx jobs: Raterbias.mx Data: TAD.dat
Table 1: CBCL-items of the syndrome Aggressive Behavior for the CBCL/2-3 and CBCL/4-18 The Mx Script Mx jobs: Raterbias.mx Data: TAD.dat Seventeenth International Workshop On Methodology of Twin And Family Studies Boulder, CO, 2004

17 Agreement and disagreement
Parental Ratings Agreement and disagreement Seventeenth International Workshop On Methodology of Twin And Family Studies Boulder, CO, 2004

18 Parental Disagreement
I. Rater Bias / error (e.g. response style, different normative standards) II. Mother or father specific information (distinct situations, parental specific relation with a child) Seventeenth International Workshop On Methodology of Twin And Family Studies Boulder, CO, 2004

19 Psychometric Multiple Rater Model
Reliable trait variance T1 mother rating T1 father rating T1 Reliable trait variance T2 father rating T2 mother rating T2 1/ 0.5 1 a e c Ef Cf Af Em Cm Am em cm am ef cf af Seventeenth International Workshop On Methodology of Twin And Family Studies Boulder, CO, 2004

20 Total variance for an individual
+ MRT1 FRT1 = 1 x a A c C e E Am Af am 0 0 af Cm Cf cm 0 0 cf Em Ef em 0 0 ef Seventeenth International Workshop On Methodology of Twin And Family Studies Boulder, CO, 2004

21 Variance-Covariance Matrices in Mx
MZ (G+S+F | G+S_ G+S | S+F) + L*(A+C+E | A+C_ A+C | A+C+E )*L' ; DZ (G+S+F | | G+S+F) + L*(A+C+E | | A+C+E )*L' ; Seventeenth International Workshop On Methodology of Twin And Family Studies Boulder, CO, 2004

22 The Mx script Mx jobs: Psychometric.mx Data: TAD.dat
Table 1: CBCL-items of the syndrome Aggressive Behavior for the CBCL/2-3 and CBCL/4-18 The Mx script Mx jobs: Psychometric.mx Data: TAD.dat Seventeenth International Workshop On Methodology of Twin And Family Studies Boulder, CO, 2004

23 Different models -2LL df Cholesky 26564.480 10356
Rater Bias Psychometric Seventeenth International Workshop On Methodology of Twin And Family Studies Boulder, CO, 2004

24 Reliable Trait Variance
Boys Girls A C E .63 .20 .17 .50 .29 .21 Seventeenth International Workshop On Methodology of Twin And Family Studies Boulder, CO, 2004

25 Rater Bias & Rater Specific parts of the total variance
Boys Girls Am Af Cm Cf Am Af Seventeenth International Workshop On Methodology of Twin And Family Studies Boulder, CO, 2004

26 Sibling Interaction / Rater Contrast
TWIN I TWIN II A E C 1 1/.5 s path s implies an interaction between phenotypes Seventeenth International Workshop On Methodology of Twin And Family Studies Boulder, CO, 2004

27 Contrast effect; Sibling Interaction
Social Interaction between siblings (Carey, 1986; Eaves, 1976) Behavior of one child has a certain effect on the behavior of his or her co-twin: Cooperation (AP in one twin leads to like-wise behavior in the co-twin) Competition (increased AP in one twin leads to decreased behavior in co-twin) Seventeenth International Workshop On Methodology of Twin And Family Studies Boulder, CO, 2004

28 Constrast effect; Rater Contrast
(Neale and Stevenson, 1989) Behavioral judgement/rating of one child of a twin pair is not independent of the rating of the other child of the twin pair. Rater compares the twins’ behavior against one another. The behavior of one child becomes some kind of ‘standard’ by which the behavior of the co-twin is rated. parents may either stress the similarities or differences between the children Seventeenth International Workshop On Methodology of Twin And Family Studies Boulder, CO, 2004

29 Constrast effect Phenotypic Cooperation/ positive rater contrast :
mimics the effects of shared environment increase the variance of more closely related individuals (var MZ >> var DZ) Phenotypic competion/ negative rater contrast: -mimics the effect of non-additive genetic variance -increase the variance of more closely related individuals least (var MZ << var DZ) Seventeenth International Workshop On Methodology of Twin And Family Studies Boulder, CO, 2004

30 P1 = sP2 + aA1 + cC1 + eE1 P2 = sP1 + aA2 + cC2 + eE2
Constrast Effect P1 P2 A1 E1 C1 A2 E2 C2 1 1/.5 s a c e P1 = sP2 + aA1 + cC1 + eE P2 = sP1 + aA2 + cC2 + eE2 Seventeenth International Workshop On Methodology of Twin And Family Studies Boulder, CO, 2004

31 Constrast Effect P1 P2 0 s s 0 P1 P2 = + A1 C1 E1 A2 C2 E2 a c e 0 0 0
Seventeenth International Workshop On Methodology of Twin And Family Studies Boulder, CO, 2004

32 (I-B)-1 (I-B)y = (I-B)-1 Gx
Matrix expression y = By + Gx y – By = Gx (I-B) y = Gx (I-B)-1 (I-B)y = (I-B)-1 Gx y= (I-B)-1 Gx Seventeenth International Workshop On Methodology of Twin And Family Studies Boulder, CO, 2004

33 In Mx Begin Matrices; B full 2 2 ! constrast effect End Matrices;
Begin Algebra; P = (I-B)~; End Algebra Seventeenth International Workshop On Methodology of Twin And Family Studies Boulder, CO, 2004

34 Variance –Covariance Matrix
MZ: P & ( A + C + E | A + C_ A + C | A + C + E) / DZ: P & ( A + C + E | + C_ + C | A + C + E) / Seventeenth International Workshop On Methodology of Twin And Family Studies Boulder, CO, 2004

35 The Mx-script Mx jobs: Constrast.mx Data: TAD.dat
Seventeenth International Workshop On Methodology of Twin And Family Studies Boulder, CO, 2004

36 Consequences for Variation and Covariation
basic model: s P1 P2 X1 X2 x P1 = sP2 + xX P2 = sP1 + xX2 Seventeenth International Workshop On Methodology of Twin And Family Studies Boulder, CO, 2004

37 In Matrices y = By + Gx P1 P2 X1 X2 P1 P2 = 0 s s 0 + x 0 0 x X1 X2 s
Seventeenth International Workshop On Methodology of Twin And Family Studies Boulder, CO, 2004

38 (I-B)-1 (I-B)y = (I-B)-1 Gx
Matrix expression y = By + Gx y – By = Gx (I-B) y = Gx (I-B)-1 (I-B)y = (I-B)-1 Gx y= (I-B)-1 Gx Seventeenth International Workshop On Methodology of Twin And Family Studies Boulder, CO, 2004

39 in this case (I-B) is simply
y= (I-B)-1 Gx in this case (I-B) is simply 1 0 0 1 0 s s 0 1 -s -s 1 - = Which has determinant: (1*1-s*s) = 1-s2 , so (I-B)-1 is 1 s s 1 1 1-s2 @ Seventeenth International Workshop On Methodology of Twin And Family Studies Boulder, CO, 2004

40 Σ { yy’} = { (I-B)-1 Gx} { (I-B)-1 Gx} ‘
Variance-covariance matrix for P1 and P2 Σ { yy’} = { (I-B)-1 Gx} { (I-B)-1 Gx} ‘ = (I-B)-1 G Σ {xx’} G’ (I-B)-1’ in which Σ {xx’} is covariance matrix of the x variables Seventeenth International Workshop On Methodology of Twin And Family Studies Boulder, CO, 2004

41 Remember... s P1 P2 X1 X2 x We want to standardize variables X1 en X2 to have unit variance and correlation r, so Σ {xx’} = 1 r r 1 Seventeenth International Workshop On Methodology of Twin And Family Studies Boulder, CO, 2004

42 To compute the covariance matrix recall
G = (I-B)-1 = Σ {xx’} = x 0 0 x 1 s s 1 1 1-s2 @ 1 r r 1 Seventeenth International Workshop On Methodology of Twin And Family Studies Boulder, CO, 2004

43 To compute the covariance matrix recall
1 + 2sr + s r+2s + rs2 r+2s + rs sr + s2 x2 Σ { yy’} = @ (1-s2)2 Seventeenth International Workshop On Methodology of Twin And Family Studies Boulder, CO, 2004

44 ω represents the scalar 1/(1-s2)2
The effects of sibling interaction on variance and covariance components between pairs of relatives. Source Variance Covariance Additive genetic ω(1+2sra+s2)a2 ω(ra+2s+ras2)a2 Dominance ω(1+2srd+s2)d2 ω(rd+2s+rds2)d2 Shared env ω(1+2s+s2)c2 Non-shared env ω(1+s2)e2 ω 2se2 ω represents the scalar 1/(1-s2)2 Seventeenth International Workshop On Methodology of Twin And Family Studies Boulder, CO, 2004

45 Numerical Illustration a2=. 5 ; d2 = 0; c2=0; e2=
Numerical Illustration a2=.5 ; d2 = 0; c2=0; e2=.5 s=0; cooperation >> s=.5; competion >> s=-.5 MZ DZ Unrelated Var Cov r None 1 .50 .25 Cooperation 3.11 2.89 .93 2.67 2.33 .88 2.22 1.78 .80 Competition 1.33 .44 .33 -.67 -.38 -1.78 -.80 Social interactions cause the variance of the phenotype to depend on the degree of relationship of the social actors Seventeenth International Workshop On Methodology of Twin And Family Studies Boulder, CO, 2004


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