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Table 3 Reliability and convergent validity for the measurement model

From: Acceptance of artificial intelligence among pre-service teachers: a multigroup analysis

Constructs

Items

Standardized factor loadings

PU

PU1

0.774***

(α = 0.88; AVE = 0.65; CR = 0.88)

PU2

0.766***

 

PU3

0.870***

 

PU4

0.807***

PEOU

PEOU1

0.627***

(α = 0.76; AVE = 0.45; CR = 0.77)

PEOU2

0.518***

 

PEOU3

0.780***

 

PEOU4

0.770***

AISE

AISE1

0.831***

(α = 0.87; AVE = 0.64; CR = 0.88)

AISE2

0.782***

 

AISE3

0.864***

 

AISE4

0.713***

AIA

AIA1

0.844***

(α = 0.91; AVE = 0.78; CR = 0.91)

AIA2

0.904***

 

AIA3

0.896***

PE

PE1

0.849***

(α = 0.86; AVE = 0.67; CR = 0.86)

PE2

0.790***

 

PE3

0.815***

SN

SN1

0.907***

(α = 0.90; AVE = 0.82; CR = 0.90)

SN2

0.909***

JR

JR1

0.853***

(α = 0.90; AVE = 0.76; CR = 0.91)

JR2

0.936***

 

JR3

0.829***

BI

BI1

0.818***

(α = 0.66; AVE = 0.50; CR = 0.66)

BI2

0.605***

  1. ***p < 0.001