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Table 3 Multivariate regression analyses: MARS, TTP, GAM, avatar predicting FSI

From: A look under the hood: analyzing engagement and usage data of a smartphone-based intervention

Effect

b

SE

β

t

95% CI

p

     

LL

UL

 

MARS

 Vividness

.16

.08

.16

2.07

0.01

0.31

.042

 Valence

.09

.09

.10

1.02

-0.08

0.26

.310

 Relatedness

.18

.06

.26

3.00

0.06

0.31

.004

TTP

 Vividness

.12

.09

.11

1.38

-0.05

0.30

.171

 Valence

.03

.10

.03

0.28

-0.17

0.22

.779

 Relatedness

.15

.07

.19

2.18

0.01

0.30

.032

GAM

 Vividness

.08

.09

.07

0.88

-0.10

0.25

.383

 Valence

.09

.09

.09

0.97

-0.10

0.28

.334

 Relatedness

.13

.07

.17

1.89

-0.01

0.27

.063

Avatar

 Vividness

.18

.08

.18

2.24

0.20

0.34

.028

 Valence

.25

.09

.27

2.89

0.08

0.42

.005

 Relatedness

.12

.07

.16

1.76

-0.02

0.25

.082

  1. n = 82, FSI Future self-identification, MARS Mobile App Rating Scale, TTP Time Travel Portal, GAM Goal Achievement Method, CI confidence interval, LL lower limit, UL upper limit