Percentile Norms and Accompanying Interval Estimates from an Australian General Adult Population Sample for Self-Report Mood Scales (BAI, BDI, CRSD, CES-D, DASS, DASS-21, STAI-X, STAI-Y, SRDS, and SRAS)

John Crawford, Carol Cayley, Peter Lovibond, Peter Wilson, Caroline Hartley

    Research output: Contribution to journalArticle

    217 Citations (Scopus)

    Abstract

    Despite their widespread use, many self-report mood scales have very limited normative data. To rectify this, Crawford etal. have recently provided percentile norms for a series of self-report scales. The present study aimed to extend the work of Crawford etal. by providing percentile norms for additional mood scales based on samples drawn from the general Australian adult population. Participants completed a series of self-report mood scales. The resultant normative data were incorporated into a computer programme that provides point and interval estimates of the percentile ranks corresponding to raw scores for each of the scales. The programme can be used to obtain point and interval estimates of the percentile ranks of an individual's raw scores on the Beck Anxiety Inventory, the Beck Depression Inventory, the Carroll Rating Scale for Depression, the Centre for Epidemiological Studies Rating Scale for Depression, the Depression, Anxiety, and Stress Scales (DASS), the short-form version of the DASS (DASS-21), the Self-rating Scale for Anxiety, the Self-rating Scale for Depression, the State-Trait Anxiety Inventory (STAI), form X, and the STAI, form Y, based on normative sample sizes ranging from 497 to 769. The interval estimates can be obtained using either classical or Bayesian methods as preferred. The programme (which can be downloaded at ) provides a convenient and reliable means of obtaining the percentile ranks of individuals' raw scores on self-report mood scales.

    Original languageEnglish
    Pages (from-to)3-14
    Number of pages12
    JournalAustralian Psychologist
    Volume46
    Issue number1
    DOIs
    Publication statusPublished - 2011

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