Table 1 Results of the generalized linear mixed-effects model for accuracies of the search task including estimated regression coefficients. CS = computer screen, VR = virtual reality.

From: Using a flashlight-contingent window paradigm to investigate visual search and object memory in virtual reality and on computer screens

Fixed effects

VR model

CS model

Estimate

SE

z

p

Estimate

SE

z

p

Intercept

2.73

0.34

7.93

\(<.001\)

2.38

0.27

8.83

\(<.001\)

Condition (Flashlight–Illuminated)

–1.22

0.66

–1.84

.066

–1.02

0.50

–2.02

.043

Trial

0.05

0.04

1.25

.211

0.06

0.04

1.73

.083

Condition \(\times\) Trial

0.12

0.08

1.50

.133

0.11

0.07

1.49

.138

Variance components

Variance

SD

  

Variance

SD

  

Target

    Intercept

1.82

1.35

  

1.22

1.10

  

    Condition

1.62

1.27

  

0.51

0.72

  

Participant

    Intercept

0.17

0.41

  

0.02

0.13

  

    Condition

0.77

0.88

  

0.02

0.14

  

Pseudo-R \(^{2}\)(R \(^{2}_{\textrm{marginal}}\), R \(^{2}_{\textrm{conditional}}\))

.02, .45

   

.02, .31

   

Fixed effects

Full model

Estimate

SE

z

p

Intercept

2.45

0.21

11.57

\(<.001\)

Condition (Flashlight–Illuminated)

–0.92

0.38

–2.44

.015

Trial

0.06

0.03

2.22

.027

Experiment (CS–VR)

0.04

0.32

0.13

.895

Condition \(\times\) Trial

0.10

0.05

1.98

.048

Condition \(\times\) Experiment

–0.35

0.65

–0.55

.586

Trial \(\times\) Experiment

0.01

0.05

0.14

.888

Condition \(\times\) Trial \(\times\) Experiment

–0.02

0.10

–0.16

.873

Variance components

Variance

SD

  

Target

    Intercept

1.28

1.13

  

    Condition

0.72

0.85

  

Participant

    Intercept

0.08

0.29

  

    Condition

0.31

0.56

  

Pseudo-R \(^{2}\)(R \(^{2}_{\textrm{marginal}}\), R \(^{2}_{\textrm{conditional}}\))

.02, .34

   
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