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Table 4 Parameter estimates of Poisson count regression for number of actions

From: Assessing epistemological beliefs of experts and novices via practices in authentic science inquiry

Analysis of maximum likelihood parameter estimates

Parameter

 

DF

Estimate

Standard error

Wald 95% confidence limits

Wald chi-square

Pr > ChiSq

Intercept

 

1

− 0.3844

0.6663

− 1.6903

0.9215

0.33

0.5640

Gender

1

1

− 0.3587

0.1129

− 0.5801

− 0.1374

10.09

0.0015

Gender

2

0

0.0000

0.0000

0.0000

0.0000

.

.

Race

1

1

− 0.4641

0.1528

− 0.7637

− 0.1646

9.22

0.0024

Race

3

1

0.0489

0.1223

−  0.1908

0.2885

0.16

0.6894

Race

2

0

0.0000

0.0000

0.0000

0.0000

.

.

Expertise

1

1

1.0699

0.1494

0.7770

1.3628

51.25

<.0001

Expertise

0

0

0.0000

0.0000

0.0000

0.0000

.

.

SEB_TOTAL_AVG

 

1

0.7807

0.1490

0.4886

1.0728

27.44

<.0001

NOS_Principle1

2

1

0.0650

0.2166

− 0.3596

0.4895

0.09

0.7642

NOS_Principle1

3

1

0.3269

0.1920

− 0.0494

0.7032

2.90

0.0886

NOS_Principle1

4

0

0.0000

0.0000

0.0000

0.0000

.

.

NOS_Principle2

2

1

0.2348

0.2066

− 0.1702

0.6397

1.29

0.2559

NOS_Principle2

3

1

0.4116

0.1636

0.0909

0.7323

6.33

0.0119

NOS_Principle2

4

0

0.0000

0.0000

0.0000

0.0000

.

.

ExpertVerbScore

 

1

− 0.1090

0.0310

− 0.1698

− 0.0483

12.36

0.0004

Scale

 

0

1.0000

0.0000

1.0000

1.0000

 Â