Measuring appraisal during advanced cancer: psychometric testing of the appraisal of caregiving scale

Patient Educ Couns. 2015 May;98(5):633-9. doi: 10.1016/j.pec.2015.01.009. Epub 2015 Jan 20.

Abstract

Objective: Examine the psychometric properties of the Appraisal of Caregiving Scale (ACS).

Methods: Data were collected as part of the FOCUS Program trial in Michigan (N = 484 caregivers).

Results: Exploratory factor analysis found the ACS measured Threat, General Stress, and Benefit appraisals. Cronbach's alphas for all subscales exceeded 0.70. Construct validity analyses indicated the Threat subscale correlated significantly with concepts of avoidant coping, burden, and dyadic support (r > 0.30). General Stress correlated significantly with burden (r = 0.348) and dyadic support (r = -0.373), and the Benefit subscale correlated significantly with active coping (r = 0.444). Known group analyses indicated that depressed caregivers had higher Threat and General Stress scores than non-depressed caregivers. Also, younger caregivers reported significantly higher scores on the General Stress subscale than older caregivers. Predictive validity analyses found appraisal scores at baseline accounted for 33.3% of the variance in hopelessness and 27.8% of the variance in depression at Time 2.

Conclusion and practice implications: The ACS is a reliable measure of Threat, General Stress, and Benefit appraisals, with some support for its validity. Health professionals may find the ACS useful for guiding intervention development. Future research should continue to examine the ACS' validity.

Keywords: Advanced cancer; Appraisal; Cancer; Family caregiver; Oncology; Psychometrics; Stress and coping.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Adaptation, Psychological*
  • Adult
  • Aged
  • Caregivers / psychology*
  • Depression / psychology
  • Factor Analysis, Statistical
  • Family / psychology
  • Female
  • Humans
  • Male
  • Michigan
  • Neoplasms / nursing*
  • Neoplasms / psychology
  • Predictive Value of Tests
  • Psychometrics / statistics & numerical data*
  • Quality of Life*
  • Reproducibility of Results
  • Social Support
  • Stress, Psychological / diagnosis
  • Stress, Psychological / etiology
  • Surveys and Questionnaires / standards*