Publication Cover
Chronobiology International
The Journal of Biological and Medical Rhythm Research
Volume 22, 2005 - Issue 4
135
Views
15
CrossRef citations to date
0
Altmetric
Original

A Psychometric Evaluation and Validation of the Preferences Scale

Pages 679-693 | Received 21 Apr 2005, Accepted 17 May 2005, Published online: 07 Jul 2009
 

Abstract

The Preferences Scale (PS) is a new measure of morningness and therefore requires intensive investigation to establish its measurement properties and validity. A confirmatory factor analysis (CFA) of Smith and colleagues (2002) posited model structure was not optimal in both a student (n=731) and working sample (n=218). However, significant differences (p<0.01) were found for times to sleep and wake between morning and evening types. Principal components and reliability analyses were used to develop a 6‐item model comprising 2 factors using a student sample (n=368). Cronbach's α for the PS was 0.73 and the factors explained 61% of the variance. The revised model was replicated via CFA in a separate student sample (n=363). A subsequent CFA confirmed the model structure in the working sample. Cronbach's α was 0.74 and the factors explained 64% of the variance. Significant differences (p<0.01) in self‐reported alertness ratings between morning and evening types were obtained by time‐of‐day. These results provide preliminary support for the PS. The predictive efficacy of the PS requires further validation against a number of health and work‐related variables.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 489.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.