Table 3 Summary of hierarchical linear regression analysis with SOGS as the dependent variable

Step #1

 Age

.021

.047

.273

1.000

R²adj = -.027 F(1,34) = .074

Step# 2

 Age

.007

.016

.124

1.041

 Anticipation^a

.980

.587

4.120**

1.167

 Relief^a

.584

.159

1.115

1.169

R²adj = .390 F(3,32) = 8.462**

Step #3

 Age

-.029

-.065

-.577

1.041

 Anticipation^a

.885

.530

4.395**

1.086

 Relief^a

-.246

-.067

-.458

1.559

 Certainty about mental states^b

-.287

-.093

-.651

1.663

 Unertainty about mental states^b

2.182

.454

3.229**

1.613

R²adj = .570 F(5,30) = 10.283**

Step #4

 Age

-.041

-.092

-.724

1.503

 Anticipation^a

.815

.489

4.261**

1.224

 Relief^a

.045

.012

.088

1.758

 Certainty about mental states^b

.020

.007

.044

2.090

 Unertainty about mental states^b

2.411

.502

3.698**

1.716

 Facilitation Bias (100)

.004

.070

.573

1.393

 Facilitation Bias (500)

.007

.155

1.335

1.253

 Disengagement Bias (100)

.008

.258

2.430*

1.053

 Disengagement Bias (500)

-.005

-.147

-1.241

1.311

R²adj = .624 F(9,26) = 7.453**