Can a global score be derived from the Integration of Stressful Life Experiences Scale-Short Form (ISLES-SF)? Empirical support for a bi-factor model

References

• August, R. A., & Dapkewicz, A. S. (2021). Benefit finding in the COVID-19 Pandemic: College students’ positive coping strategies. Journal of Positive School Psychology, 5(2), 73–86. https://journalppw.com/index.php/jpsp/article/view/126/120 https://doi.org/10.47602/jpsp.v5i2.245
   Google Scholar
• Azadfar, Z., Bijari, A. F., Khosravi, Z., & Abdollahi, A. (2023). Psychometric properties of the full-form and short-form versions of the Integration of Stressful Life Experiences Scale (ISLES) among Iranian university students. Brain and Behavior, 13(3), e2892. https://doi.org/10.1002/brb3.2892
   PubMed Web of Science ®Google Scholar
• Batista, J., Alves, D., Pires, N., Silva, J. R., Mendes, I., Magalhães, C., Rosa, C., Oliveira, J. T., Gonçalves, M. M., & Neimeyer, R. A. (2024). The Meaning in Loss protocol: A clinical trial of telehealth grief therapy. Death Studies, in press.
   PubMedGoogle Scholar
• Bottomley, J. S., & Smigelsky, M. A. (2023). Bereavement in the aftermath of suicide, overdose, and sudden-natural death: Evaluating a new measure of needs. Assessment, 30(4), 1052–1064. https://doi.org/10.1177/10731911221081139
   PubMed Web of Science ®Google Scholar
• Breen, L. J., Lee, S. A., Mancini, V. O., Willis, M., & Neimeyer, R. A. (2023). Grief and functional impairment following COVID-19 loss in a treatment-seeking sample: The mediating role of meaning. British Journal of Guidance & Counselling, 51(3), 395–406. https://doi.org/10.1080/03069885.2022.2075540
   Web of Science ®Google Scholar
• Breen, L. J., Mancini, V. O., Lee, S. A., Pappalardo, E. A., & Neimeyer, R. A. (2022). Risk factors for dysfunctional grief and functional impairment for all causes of death during the COVID-19 pandemic: The mediating role of meaning. Death Studies, 46(1), 43–52. https://doi.org/10.1080/07481187.2021.1974666
   PubMed Web of Science ®Google Scholar
• Castiglioni, M., Caldiroli, C. L., Procaccia, R., Conte, F., Neimeyer, R. A., Zamin, C., Paladino, A., & Negri, A. (2023). The up-side of the COVID-19 Pandemic: Are core belief violation and meaning making associated with post-traumatic growth? International Journal of Environmental Research and Public Health, 20(11), 5991. https://doi.org/10.3390/ijerph20115991
   PubMedGoogle Scholar
• Chen, F. F. (2007). Sensitivity of goodness of fit indexes to lack of measurement invariance. Structural Equation Modeling: A Multidisciplinary Journal, 14(3), 464–504. https://doi.org/10.1080/10705510701301834
   Web of Science ®Google Scholar
• Currier, J. M., Holland, J. M., Rozalski, V., Thompson, K. L., Rojas-Flores, L., & Herrera, S. (2013). Teaching in violent communities: The contribution of meaning made of stress on psychiatric distress and burnout. International Journal of Stress Management, 20(3), 254–277. https://doi.org/10.1037/a0033985
   Web of Science ®Google Scholar
• Den Elzen, K., Breen, L. J., & Neimeyer, R. A. (2023). Rewriting grief following bereavement and non-death loss: a pilot writing-for-wellbeing study. British Journal of Guidance & Counselling, 51(3), 425–443. https://doi.org/10.1080/03069885.2022.2160967
   Web of Science ®Google Scholar
• Dueber, D. M. (2017). Bifactor indices calculator: A Microsoft excel-based tool to calculate various indices relevant to bifactor CFA models. https://doi.org/10.13023/edp.tool.01
   Google Scholar
• Eisenbeck, N., Carreno, D. F., & Pérez-Escobar, J. A. (2021). Meaning-Centered coping in the era of COVID-19: Direct and moderating effects on depression, anxiety, and stress. Frontiers in Psychology, 12, 648383. https://doi.org/10.3389/fpsyg.2021.648383
   PubMed Web of Science ®Google Scholar
• Finney, S. J., & DiStefano, C. (2006). Non-normal and categorical data in structural equation modeling. In G.R. Hancock & R.O. Mueller (Eds.), Structural equation modeling: A second course (pp. 269–314). Information Age.
   Google Scholar
• Frankl, V. E. (1985). Man’s search for meaning. Simon and Schuster.
   Google Scholar
• Gomez, R., & McLaren, S. (2015). The Center for Epidemiologic Studies Depression Scale: Support for a bifactor model with a dominant general factor and a specific factor for positive affect. Assessment, 22(3), 351–360. https://doi.org/10.1177/1073191114545357
   PubMed Web of Science ®Google Scholar
• Grice, J. W. (2001). Computing and evaluating factor scores. Psychological Methods, 6(4), 430–450. https://doi.org/10.1037/1082-989X.6.4.430
   PubMed Web of Science ®Google Scholar
• Gunnell, K. E., & Gaudreau, P. (2015). Testing a bi-factor model to disentangle general and specific factors of motivation in self-determination theory. Personality and Individual Differences, 81, 35–40. https://doi.org/10.1016/j.paid.2014.12.059
   Web of Science ®Google Scholar
• Holland, J. M., Currier, J. M., Coleman, R. A., & Neimeyer, R. A. (2010). The Integration of Stressful Life Experiences Scale (ISLES): Development and initial validation of a new measure. International Journal of Stress Management, 17(4), 325–352. https://doi.org/10.1037/a0020892
   Web of Science ®Google Scholar
• Holland, J. M., Currier, J. M., & Neimeyer, R. A. (2014). Validation of the integration of stressful life experiences scale–short form in a bereaved sample. Death Studies, 38(1-5), 234–238. https://doi.org/10.1080/07481187.2013.829369
   PubMedGoogle Scholar
• Holland, J. M., Klingspon, K. L., Lichtenthal, W. G., & Neimeyer, R. A. (2020). The Unfinished Business in Bereavement Scale (UBBS): Development and psychometric evaluation. Death Studies, 44(2), 65–77. https://doi.org/10.1080/07481187.2018.1521101
   PubMed Web of Science ®Google Scholar
• Janoff-Bulman, R. (1989). Assumptive worlds and the stress of traumatic events: Applications of the schema construct. Social Cognition, 7(2), 113–136. https://doi.org/10.1521/soco.1989.7.2.113
   Web of Science ®Google Scholar
• Jorgensen, T. D., Pornprasertmanit, S., Schoemann, A. M., & Rosseel, Y. (2018). semTools: Useful tools for structural equation modeling. R package version 0.5-1. https://cran.r-project.org/package=semTools
   Google Scholar
• Kline, R. B. (2015). Principles and practice of structural equation modeling (4th ed) The Guilford Press.
   Google Scholar
• Klingspon, K. L., Holland, J. M., Neimeyer, R. A., & Lichtenthal, W. G. (2015). Unfinished business in bereavement. Death Studies, 39(7), 387–398. https://doi.org/10.1080/07481187.2015.1029143
   PubMed Web of Science ®Google Scholar
• Lee, S. A. (2018). Factorial structure of the persistent complex bereavement inventory: Testing a hierarchical factor model. Death Studies, 42(6), 356–361. https://doi.org/10.1080/07481187.2017.1348402
   PubMed Web of Science ®Google Scholar
• Lichtenthal, W. G., & Neimeyer, R. A. (2012). Directed journaling to facilitate meaning-making. In R. A. Neimeyer (Ed.), Techniques of grief therapy: Creative practices for counseling the bereaved (pp. 165–168). Routledge/Taylor & Francis Group.
   Google Scholar
• McDonald, R. P. (1999). Test theory: A unified treatment. Taylor & Francis.
   Google Scholar
• Milman, E., Lee, S. A., & Neimeyer, R. A. (2022). Social isolation and the mitigation of coronavirus anxiety: The mediating role of meaning [Special Issue: Loss and grief in the Covid-19 pandemic]. Death Studies, 46(1), 1–13. https://doi.org/10.1080/07481187.2020.1775362
   PubMed Web of Science ®Google Scholar
• Milman, E., Lee, S. A., Neimeyer, R. A., Mathis, A. A., & Jobe, M. C. (2020). Modeling pandemic depression and anxiety: The mediational role of core beliefs and meaning making. Journal of Affective Disorders Reports, 2, 100023. https://doi.org/10.1016/j.jadr.2020.100023
   PubMedGoogle Scholar
• Milman, E., Neimeyer, R. A., Fitzpatrick, M., MacKinnon, C. J., Muis, K. R., & Cohen, S. R. (2019a). Prolonged grief and the disruption of meaning: Establishing a mediation model. Journal of Counseling Psychology, 66(6), 714–725. https://doi.org/10.1037/cou0000370
   PubMed Web of Science ®Google Scholar
• Milman, E., Neimeyer, R. A., Fitzpatrick, M., MacKinnon, C. J., Muis, K. R., & Cohen, S. R. (2019b). Rumination moderates the role of meaning in the development of prolonged grief symptomatology. Journal of Clinical Psychology, 75(6), 1047–1065. https://doi.org/10.1002/jclp.22751
   PubMed Web of Science ®Google Scholar
• Mueller, R. O., & Hancock, G. R. (2008). Best practices in structural equation modeling. In J. W. Osborne (Ed.), Best practices in quantitative methods (pp. 488–508). Sage. https://doi.org/10.4135/9781412995627
   Google Scholar
• Murray, A. L., & Johnson, W. (2013). The limitations of model fit in comparing the bi-factor versus higher-order models of human cognitive ability structure. Intelligence, 41(5), 407–422. https://doi.org/10.1016/j.intell.2013.06.004
   Web of Science ®Google Scholar
• Negri, A., Conte, F., Caldiroli, C. L., Neimeyer, R. A., & Castiglioni, M. (2023). Psychological factors explaining the COVID-19 pandemic impact on mental health: The role of meaning, beliefs and perceptions of vulnerability and mortality. Behavioral Sciences, 13(2), 162. https://doi.org/10.3390/bs13020162
   Web of Science ®Google Scholar
• Neimeyer, R. A. (2019). Meaning reconstruction in bereavement: Development of a research program. Death Studies, 43(2), 79–91. https://doi.org/10.1080/07481187.2018.1456620
   PubMed Web of Science ®Google Scholar
• Neimeyer, R. A. (2023). Grief therapy as a quest for meaning. In E. Steffen, E. Milman & R. A. Neimeyer (Eds.), Handbook of grief therapies (pp. 53–68). Sage.
   Google Scholar
• Neimeyer, R. A., Milman, E., & Lee, S. A. (2021). Apocalypse now: COVID-19 and the crisis of meaning. In P. Pentaris (Ed.), Death, grief and loss in the context of COVID-19 (pp. 1–19). Routledge. https://www.routledge.com/Death-Grief-and-Loss-in-the-Context-of -COVID-19/Pentaris/p/book/9780367647322
   Google Scholar
• Neimeyer, R. A., & Rynearson, E. K. (2022). From retelling to reintegration: Narrative fixation and the reconstruction of meaning. In L. A. Burke and E. K. Rynearson (Eds.), The restorative nature of ongoing connections with the deceased: Exploring presence within absence (pp. 95–110). Routledge.
   Google Scholar
• Neimeyer, R. A., Testoni, I., Ronconi, L., Biancalani, G., Antonellini, M., & Dal Corso, L. (2021). The Integration of Stressful Life Experiences Scale and the Inventory of Complicated Spiritual Grief: The Italian Validation of two instruments for meaning focused assessments of bereavement. Behavioral Sciences (Basel, Switzerland), 11(11), 149. https://doi.org/10.3390/bs11110149
   PubMedGoogle Scholar
• Neimeyer, R. A., & Young-Eisendrath, P. (2015). Assessing a Buddhist treatment for bereavement and loss: The Mustard Seed Project. Death Studies, 39(1-5), 263–273. https://doi.org/10.1080/07481187.2014.937973
   PubMed Web of Science ®Google Scholar
• Park, C. L. (2010). Making sense of the meaning literature: An integrative review of meaning making and its effects on adjustment to stressful life events. Psychological Bulletin, 136(2), 257–301.late life (pp. 227–252). New York: Springer https://doi.org/10.1037/a0018301
   PubMed Web of Science ®Google Scholar
• R Core Team. (2019). A language and environment for statistical computing (R version 3.6.1). R Foundation for Statistical Computing. http://www.r-project.org/
   Google Scholar
• Ratelle, C. F., Duchesne, S., Guay, F., & Châteauvert, G. B. (2018). Comparing the contribution of overall structure and its specific dimensions for competence-related constructs: A bifactor model. Contemporary Educational Psychology, 54, 89–98. https://doi.org/10.1016/j.cedpsych.2018.05.005
   Web of Science ®Google Scholar
• Reise, S. P., Bonifay, W. E., & Haviland, M. G. (2013). Scoring and modeling psychological measures in the presence of multidimensionality. Journal of Personality Assessment, 95(2), 129–140. https://doi.org/10.1080/00223891.2012.725437
   PubMed Web of Science ®Google Scholar
• Reise, S. P., Moore, T. M., & Haviland, M. G. (2010). Bifactor models and rotations: Exploring the extent to which multidimensional data yield univocal scale scores. Journal of Personality Assessment, 92(6), 544–559. https://doi.org/10.1080/00223891.2010.496477
   PubMed Web of Science ®Google Scholar
• Reise, S. P., Moore, T. M., & Haviland, M. G. (2013). Applying unidimensional item response theory models to psychological data. In K. F. Geisinger, B. A. Bracken, J. F. Carlson, J.-I. C. Hansen, N. R. Kuncel, S. P. Reise, & M. C. Rodriguez (Eds.), APA handbook of testing and assessment in psychology, Vol. 1. Test theory and testing and assessment in industrial and organizational psychology (pp. 101–119). American Psychological Association. https://doi.org/10.1037/14047-006
   Google Scholar
• Rhemtulla, M., Brosseau-Liard, P. E., & Savalei, V. (2012). When can categorical variables be treated as continuous? A comparison of robust continuous and categorical SEM estimation methods under suboptimal conditions. Psychological Methods, 17(3), 354–373. https://doi.org/10.1037/a0029315
   PubMed Web of Science ®Google Scholar
• Rodriguez, A., Reise, S. P., & Haviland, M. G. (2016). Applying bifactor statistical indices in the evaluation of psychological measures. Journal of Personality Assessment, 98(3), 223–237. https://doi.org/10.1080/00223891.2015.1089249
   PubMed Web of Science ®Google Scholar
• Rodriguez, A., Reise, S. P., & Haviland, M. G. (2016). Evaluating bifactor models: Calculating and interpreting statistical indices. Psychological Methods, 21(2), 137–150. https://doi.org/10.1037/met0000045
   PubMed Web of Science ®Google Scholar
• Rosseel, Y. (2012). lavaan: An R package for structural equation modeling. Journal of Statistical Software, 48(2), 1–36. https://doi.org/10.18637/jss.v048.i02
   Web of Science ®Google Scholar
• Rozalski, V., Holland, J. M., & Neimeyer, R. A. (2017). Circumstances of death and complicated grief: Indirect associations through meaning made of loss. Journal of Loss and Trauma, (22)(1), 11–23. https://doi.org/10.1080/15325024.2016.1161426
   Web of Science ®Google Scholar
• RStudio Team. (2018). RStudio: Integrated development environment for R. RStudio, Inc. http://www.rstudio.com/
   Google Scholar
• Schumacker, R. E., & Lomax, R. G. (2015). A beginner’s guide to structural equation modeling (4th ed.). Routledge.
   Google Scholar
• Thimm, J. C., Davidsen, M., Elsness, M. M., & Vara, H. (2019). Reliability, factor structure, and validity of the Inventory of Complicated Grief (ICG) in a general bereaved sample in Norway. Scandinavian Psychologist, 6, e7. https://doi.org/10.15714/scandpsychol.6.e7
   Google Scholar
• Viladrich, C., Angulo-Brunet, A., & Doval, E. (2017). A journey around alpha and omega to estimate internal consistency reliability. Anales de Psicología, 33(3), 755–782. https://doi.org/10.6018/analesps.33.3.268401
   Web of Science ®Google Scholar
• Yang, Z., Ji, L., Yang, Y., Wang, Y., Zhu, L., & Cai, H. (2021). Meaning making helps cope with COVID-19: A longitudinal study. Personality and Individual Differences, 174, 110670. https://doi.org/10.1016/j.paid.2021.110670
   PubMed Web of Science ®Google Scholar
• Yuan, K.-H., & Bentler, P. M. (2000). Three likelihood based methods for mean and Covariance structure analysis with nonnormal missing data. Sociological Methodology, 30(1), 165–200. https://doi.org/10.1111/0081-1750.00078
   Web of Science ®Google Scholar