Perceived Restorativeness for Activities Scale (PRAS): development and validation.

J Phys Act Health

Dept of Health, Physical Education, and Recreation, Utah State University, Logan, UT 84322-7000, USA.

Published: January 2008

Background: The purpose of this study was to develop the Perceived Restorativeness for Activities Scale (PRAS) based on the conceptual framework of attention-restoration theory (ART). ART suggests that 4 latent constructs (being away, fascination, extent, and compatibility) must be present to enable a switch from voluntary (effortful, directed) attention to involuntary (effortless) attention and facilitate restored attention.

Method: Data were collected from 238 participants in a variety of university exercise classes. Exploratory factor analysis reduced items to a parsimonious 12-item scale. Confirmatory factor analysis tested the best fit between a 1-dimensional versus a 4-factor solution.

Results: The Cronbach alpha was .925. The significant analysis (P < .001) suggested that the model with 4 distinct subscales has the best data fit (goodness-of-fit index = .94, standardized root-mean-square residual = .041, incremental-fit index = .98, expected-cross-validation index = .66, comparative-fit index = .98). Composite reliability and variance extracted were calculated for each construct represented by ART: being away, .81, .59; fascination, .79, .63; extent, .89, .78; and compatibility, .68, .42.

Conclusion: The 12-item, 4-factor solution of the PRAS can help researchers understand the within-individual preconceptions toward the activity experience that can influence cognitive restoration.

Download full-text PDF

Source
http://dx.doi.org/10.1123/jpah.5.1.184DOI Listing

Publication Analysis

Top Keywords

perceived restorativeness
8
restorativeness activities
8
activities scale
8
scale pras
8
fascination extent
8
extent compatibility
8
factor analysis
8
pras development
4
development validation
4
validation background
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!