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Table 4 Standardized item-to-factor correlations for structural model 2: children’s self-efficacy vs. parents’ self-efficacy model (N = 857)

From: Children’s active commuting to school: an interplay of self-efficacy, social economic disadvantage, and environmental characteristics

Description

Latent factor/Observed variables

Factor loading

P-value

Types of children’s self-efficacy

Scheduling Self-efficacy (3 items)

  

I’m sure that I can walk to and from school:

  

At least once every week

.77 (.02)

.000

At least 2–4 days of the week

.87 (.02)

.000

Every day of the week

.92 (.01)

.000

Barrier Self-efficacy (6 items)

  

Even if I live far from school

.68 (.03)

.000

Even if there is a lot of traffic

.69 (.03)

.000

Even if it is hot outside

.82 (.02)

.000

Even if it is cold outside

.78 (.032)

.000

Even if my friends or classmates do not walk to school

.87 (.02)

.000

Support-seeking Self-efficacy (4 items)

  

With my parents

.28 (.05)

.000

With my friends or classmates

.77 (.03)

.000

By myself

.87 (.02)

.000

Without my parents

.88 (.02)

.000

Types of parents’ self-efficacy

Scheduling Self-efficacy (3 items)

  

I’m sure that I can allow my child to walk to or from school

  

At least once every week

.96(.01)

.000

At least 2–4 days of the week

.98 (.01)

.000

Every day of the week

.98 (.01)

.000

Barrier Self-efficacy (6 items)

  

Even if we live far from school

.67 (.03)

.000

Even if there is a lot of traffic

.76 (.03)

.000

Even if it is hot outside

.88 (.02)

.000

Even if it is cold outside

.82 (.02)

.000

Even if other children do not walk to school

.93 (.02)

.000

Support-seeking Self-efficacy (4 items)

  

With me

.54 (.04)

.000

With friends or classmates

.90 (.01)

.000

Alone, without other children or adults

.90 (.02)

.000

Without me

.92 (.01)

.000

Social economic disadvantage

Number of assistance that a child’s family received

.36 (.12)

.003

Ethnicity (White or non-white)

.82 (.25)

.001

Environmental constraints

Percentage of highway (binary)

.64 (.08)

.000

Auto-related land use (binary)

.70 (.08)

.000

Construction and manufacturing land use (binary)

.49 (.07)

.000

General commercial land use (binary)

.65 (.07)

.000

Presence of crashes per acre (binary)

.31 (.08)

.001

Network distance

.90 (.05)

.000