Abstract
Aims
General self-efficacy is associated with adaptive coping and positive health outcomes. The Patient-Reported Outcomes Measurement Information System (PROMIS®) has developed self-efficacy item banks for managing chronic conditions, but lacks a general self-efficacy measure. We sought to refine and validate an item-response theory (IRT)-based measure of general self-efficacy for PROMIS®.
Methods
Ten items were modified from the NIH Toolbox® Self-Efficacy Item Bank by creating “confidence” response options, and administered to a general population sample (n = 1000) with the Toolbox® Self-Efficacy Item Bank, Life Orientation Test-Revised (LOT-R), and Generalized Expectancy for Success Scale (GESS). We split the sample in half for exploratory factor analysis (EFA) followed by confirmatory factor analysis (CFA). IRT analyses included evaluation of differential item functioning (DIF).
Results
Participants had a mean age of 47.8 years and 50.3% were male. EFA showed all items loaded onto one dominant factor and CFA yielded a good fitting model for a general self-efficacy bank with confidence response options (CFI = 0.987, TLI = 0.984, RMSEA = 0.090). Items showed no evidence of DIF by gender, age, education, or race. Internal consistency reliability was α = .94 and .88 for a new 10-item general self-efficacy bank and 4-item short form, respectively. The new bank was correlated with the LOT-R (r = .58), the GESS (r = .55), and the Toolbox® Self-Efficacy Item Bank (r = .87).
Conclusions
The PROMIS® General Self-Efficacy measure demonstrated sufficient unidimensionality and displayed good internal consistency reliability, model fit, and convergent validity. Further psychometric testing of the PROMIS® General Self-Efficacy Item Bank and Short Form can evaluate its utility in people with chronic health conditions.
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References
Bandura, A. (1997). Self-efficacy: The exercise of control. New York: W.H. Freeman.
Ryan, R. M., & Deci, E. L. (2000). Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. American Psychologist, 55(1), 68–78.
Carver, C. S., & Scheier, M. (1981). Attention and self-regulation. New York: Springer.
Rahman, A., et al. (2008). Factors affecting self-efficacy and pain intensity in patients with chronic musculoskeletal pain seen in a specialist rheumatology pain clinic. Rheumatology, 47(12), 1803–1808.
Schwerdtfeger, A., Konermann, L., & Schönhofen, K. (2008). Self-efficacy as a health-protective resource in teachers? A biopsychological approach. Health Psychology, 27(3), 358–368.
Jones, F., Partridge, C., & Reid, F. (2008). The Stroke Self-Efficacy Questionnaire: Measuring individual confidence in functional performance after stroke. Journal of Clinical Nursing, 17(7b), 244–252.
Merluzzi, T. V., et al. (2001). Self-efficacy for coping with cancer: Revision of the Cancer Behavior Inventory (version 2.0). Psychooncology, 10(3), 206–217.
Merluzzi, T. V., et al. (2018). Self-efficacy for coping with cancer: Revision of the Cancer Behavior Inventory (Version 3.0). Psychol Assessment, 30(4), 486–499.
Sheeran, P., et al. (2016). The impact of changing attitudes, norms, and self-efficacy on health-related intentions and behavior: A meta-analysis. Health Psychology, 35(11), 1178–1188.
Schwarzer, R., & Jerusalem, M. (1995). Generalized self efficacy scale. In J. Weinman, S. Wright, & M. Johnston (Eds.), Measures in health psychology (pp. 35–37). Windsor: NFER-Nelson.
Schwarzer, R., & Warner, L. M. (2013) Perceived self-efficacy and its relationship to resilience. In Resilience in children, adolescents, and adults (pp. 139–150). New York: Springer.
Courneya, K. S., et al. (2012). Effects of supervised exercise on motivational outcomes and longer-term behavior. Medicine and Science in Sports and Exercise, 44(3), 542–549.
Demark-Wahnefried, W., et al. (2003). Design of FRESH START: A randomized trial of exercise and diet among cancer survivors. Medicine and Science in Sports and Exercise, 35(3), 415–424.
Chesney, M. A., et al. (2006). A validity and reliability study of the coping self-efficacy scale. British Journal of Health Psychology, 11(Pt 3), 421–437.
Lorig, K. R., et al. (2001). Effect of a self-management program on patients with chronic disease. Effective Clinical Practice, 4(6), 256–262.
Cella, D., et al. (2010). Initial adult health item banks and first wave testing of the Patient-Reported Outcomes Measurement Information System (PROMIS™) Network: 2005–2008. Journal of Clinical Epidemiology, 63(11), 1179.
Cella, D., et al. (2016). PROMIS fatigue item bank had clinical validity across diverse chronic conditions. Journal of Clinical Epidemiology, 73, 128–134.
Cook, K. F., et al. (2016). PROMIS measures of pain, fatigue, negative affect, physical function, and social function demonstrated clinical validity across a range of chronic conditions. Journal of Clinical Epidemiology, 73, 89–102.
Gruber-Baldini, A. L., et al. (2017). Validation of the PROMIS® measures of self-efficacy for managing chronic conditions. Quality of Life Research. https://doi.org/10.1007/s11136-017-1527-3.
Kupst, M. J., et al. (2015). Assessment of stress and self-efficacy for the NIH Toolbox for Neurological and Behavioral Function. Anxiety Stress and Coping, 28(5), 531–544.
Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84(2), 191–215.
Salsman, J. M., et al. (2018). Refining and supplementing candidate measures of psychological well-being for the NIH PROMIS®: Qualitative results from a mixed cancer sample. Quality of Life Research. https://doi.org/10.1007/s11136-018-1896-2.
PROMIS Health Organization and PROMIS Cooperative Group. (2013). PROMIS ® instrument development and validation: Scientific standards version 2.0 (revised May 2013). Retrieved September 19, 2013, from http://www.nihpromis.org/Documents/PROMISStandards_Vers2.0_Final.pdf.
Liu, H., et al. (2010). Representativeness of the PROMIS Internet Panel. Journal of Clinical Epidemiology, 63(11), 1169–1178.
Roster, C. A., et al. (2004). A comparison of response characteristics from web and telephone surveys. International Journal of Market Research, 46(3), 359–374.
Scheier, M. F., Carver, C. S., & Bridges, M. W. (1994). Distinguishing optimism from neuroticism (and trait anxiety, self-mastery, and self-esteem): A reevaluation of the Life Orientation Test. Journal of Personality and Social Psychology, 67(6), 1063–1078.
Fung, H. H., & Carstensen, L. L. (2004). Motivational changes in response to blocked goals and foreshortened time: Testing alternatives to socioemotional selectivity theory. Psychology and Aging, 19(1), 68–78.
Hale, W. D., Fiedler, L. R., & Cochran, C. D. (1992). The revised Generalized Expectancy for Success Scale: A validity and reliability study. Journal of Clinical Psychology, 48(4), 517–521.
Hays, R. D., et al. (2009). Development of physical and mental health summary scores from the Patient Reported Outcomes Measurement Information System (PROMIS) global items. Quality of Life Research, 18(7), 873–880.
Pilkonis, P. A., et al. (2011). Item banks for measuring emotional distress from the Patient-Reported Outcomes Measurement Information System (PROMIS): Depression, anxiety, and anger. Assessment, 18(3), 263–283.
Reeve, B. B., et al. (2007). Psychometric evaluation and calibration of health-related quality of life item banks: Plans for the Patient-Reported Outcomes Measurement Information System (PROMIS). Medical Care, 45(5 Suppl 1), S22–S31.
R Core Development Team. (2018). R: A language and environment for statistical computing. R Foundation for Statistical Computing. http://www.r-project.org/.
Revelle, W. (2018). Psych: Procedures for personality and psychological research. (R Package Version 1.8.12). (Computer Software). Evanston, IL: Northwestern University. https://cran.r-project.org/web/packages/psych/index.html.
Schmid, J., & Leiman, J. (1957). The development of hierarchical factor solutions. Psychometrika, 22(1), 53–61.
Reise, S. P., et al. (2013). Multidimensionality and structural coefficient bias in structural equation modeling: A bifactor perspective. Educational and Psychological Measurement, 73(1), 5–26.
Samejima, F. (1969). Estimation of latent ability using a response pattern of graded scores. Psychometrika monograph supplement, no. 17. Richmond, VA: Psychometric Society.
Li, C., Thissen, D., & du Toit, S. (2011). IRTPRO 2.1 for Windows. Lincolnwood, IL: Scientific Software International, Inc.
Orlando, M., & Thissen, D. (2003). Further examination of the performance of S-X2, an item fit index for dichotomous item response theory models. Applied Psychological Measurement, 27, 289–298.
Kang, T., & Chen, T. T. (2011). Performance of the generalized S-X2 item fit index for the graded response model. Asia–Pacific Education Review, 12(1), 89–96.
Choi, S. W., Gibbons, L. E., & Crane, P. K. (2011). LORDIF: An R package for detecting differential item functioning using iterative hybrid ordinal logistic regression/item response theory and Monte Carlo simulations. Journal of Statistical Software, 39(8), 1–30.
Choi, S. W., et al. (2014). Establishing a common metric for depressive symptoms: Linking the BDI-II, CES-D, and PHQ-9 to PROMIS depression. Psychological Assessment, 26(2), 513–527.
Chen, G., Gully, S. M., & Eden, D. (2001). Validation of a new general self-efficacy scale. Organizational Research Methods, 4(1), 62–83.
Sherer, M., et al. (1982). The self-efficacy scale: Construction and validation. Psychological Reports, 51(2), 663–671.
Babakhanyan, I., et al. (2018). National Institutes of Health Toolbox Emotion Battery for English- and Spanish-speaking adults: Normative data and factor-based summary scores. Patient Related Outcome Measures, 9, 115–127.
Kostka, T., & Jachimowicz, V. (2010). Relationship of quality of life to dispositional optimism, health locus of control and self-efficacy in older subjects living in different environments. Quality of Life Research, 19(3), 351–361.
Magaletta, P. R., & Oliver, J. M. (1999). The hope construct, will, and ways: Their relations with self-efficacy, optimism, and general well-being. Journal of Clinical Psychology, 55(5), 539–551.
Bonsaksen, T., et al. (2018). Self-diagnosed depression in the Norwegian general population—Associations with neuroticism, extraversion, optimism, and general self-efficacy. BMC Public Health, 18(1), 1076.
Hajek, A., & Hans Helmut, K. (2017). The role of self-efficacy, self-esteem and optimism for using routine health check-ups in a population-based sample. A longitudinal perspective. Preventive Medicine, 105, 47–51.
Schwarzer, R., et al. (1997). The assessment of optimistic self-beliefs: Comparison of the German, Spanish, and Chinese versions of the general self-efficacy scale. Applied Psychology, 46(1), 69–88.
Scholz, U., et al. (2002). Is general self-efficacy a universal construct? Psychometric findings from 25 countries. European Journal of Psychological Assessment, 18(3), 242.
Roddenberry, A., & Renk, K. (2010). Locus of control and self-efficacy: Potential mediators of stress, illness, and utilization of health services in college students. Child Psychiatry and Human Development, 41(4), 353–370.
Ryff, C. D., & Keyes, C. L. M. (1995). The structure of psychological well-being revisited. Journal of Personality and Social Psychology, 69(4), 719–727.
Kobasa, S. C. (1982). The hardy personality: Toward a social psychology of stress and health. Social Psychology of Health and Illness, 4, 3–32.
Connor, K. M., & Davidson, J. R. (2003). Development of a new resilience scale: The Connor–Davidson resilience scale (CD-RISC). Depression and Anxiety, 18(2), 76–82.
Cella, D., et al. (2014). Setting standards for severity of common symptoms in oncology using the PROMIS item banks and expert judgment. Quality of Life Research: An International Journal of Quality of Life Aspects of Treatment, Care and Rehabilitation, 23(10), 2651–2661.
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Research reported in this publication was supported by the National Cancer Institute of the NIH under Award Number K07CA158008. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH.
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Salsman, J.M., Schalet, B.D., Merluzzi, T.V. et al. Calibration and initial validation of a general self-efficacy item bank and short form for the NIH PROMIS®. Qual Life Res 28, 2513–2523 (2019). https://doi.org/10.1007/s11136-019-02198-6
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DOI: https://doi.org/10.1007/s11136-019-02198-6