Factor structure and concurrent validity of the world assumptions scale
Corresponding Author
Ask Elklit
Department of Psychology, University of Aarhus, Aarhus, Denmark
Department of Psychology, University of Aarhus, Jens Chr. Skous Vej 4, DK 8000 Aarhus, Denmark.Search for more papers by this authorMark Shevlin
School of Psychology, University of Ulster (Magee), Londonderry, UK
Search for more papers by this authorZahava Solomon
The Bob Shapell School of Social Work, Tel Aviv University, Tel Aviv, Israel
Search for more papers by this authorRachel Dekel
School of Social Work, Bar-Ilan University, Bar-Ilan, Israel
Search for more papers by this authorCorresponding Author
Ask Elklit
Department of Psychology, University of Aarhus, Aarhus, Denmark
Department of Psychology, University of Aarhus, Jens Chr. Skous Vej 4, DK 8000 Aarhus, Denmark.Search for more papers by this authorMark Shevlin
School of Psychology, University of Ulster (Magee), Londonderry, UK
Search for more papers by this authorZahava Solomon
The Bob Shapell School of Social Work, Tel Aviv University, Tel Aviv, Israel
Search for more papers by this authorRachel Dekel
School of Social Work, Bar-Ilan University, Bar-Ilan, Israel
Search for more papers by this authorAbstract
The factor structure of the World Assumptions Scale (WAS) was assessed by means of confirmatory factor analysis. The sample was comprised of 1,710 participants who had been exposed to trauma that resulted in whiplash. Four alternative models were specified and estimated using LISREL 8.72. A correlated 8-factor solution was the best explanation of the sample data. The estimates of reliability of eight subscales of the WAS ranged from .48 to .82. Scores from five subscales correlated significantly with trauma severity as measured by the Harvard Trauma Questionnaire, although the magnitude of the correlations was low to modest, ranging from .08 to −.43. It is suggested that the WAS has adequate psychometric properties for use in both clinical and research settings.
REFERENCE
- Akaike, H. (1987). Factor analysis and AIC. Psychometrika, 52, 317–332.
- American Psychiatric Association. (1994). Diagnostic and statistical manual of mental disorders ( 4nd ed.). Washington, DC: Author.
- Bard, M., & Sangrey, D. (1986). The crime victim's book. New York: Citadel Press.
- Bentler, P. M. (1990). Comparative fit indices in structural models. Psychological Bulletin, 107, 238–246.
- Blanchard, E. B., Hickling, E. J., Barton, K. A., Taylor, A. E., Loos, W. R., & Jones-Alexander, J. (1996). One-year prospective follow-up of motor vehicle accident victims. Behaviour Research and Therapy, 34, 775–786.
- Bödvarsdóttir, I., & Elklit, A. (2004). Psychological reactions in Icelandic earthquake survivors. Scandanavian Journal of Psychology, 45, 3–13.
-
Bollen, K. A.
(1989).
Structural equations with latent variables.
New York: Wiley.
10.1002/9781118619179 Google Scholar
- Browne, M. W., & Cudeck, R. (1989). Single sample cross-validation indices for covariation structures. Multivariate Behavioral Research, 24, 445–455.
- Bunting, B. P., Adamson, G., & Mulhall, P. (2002). A Monte Carlo examination of MTMM model with planned incomplete data structures. Structural Equation Modeling, 9, 369–389.
-
Cohen, J.
(1988).
Statistical power analysis for the behavioral sciences
( 2nd ed.).
Hillsdale, NJ: Erlbaum.
10.1046/j.1526-4610.2001.111006343.x Google Scholar
- Comrey, A. L., & Lee, H. B. (1992). A first course in factor analysis ( 2nd ed.). Hillsdale, NJ: Erlbaum.
- Curran, P. J., West, S. G., & Finch, J. F. (1996). The robustness of test statistics to nonnormality and specification error in confirmatory factor analysis. Psychological Methods, 1, 16–29.
- Dekel, R., Solomon, Z., Elklit, A., & Ginzburg, K. (2004). World assumptions and combat related posttraumatic stress disorder. The Journal of Social Psychology, 144, 407–420.
- Ehlers, A., & Clark, D. M. (2000). A cognitive model of posttraumatic stress disorder. Behavior Research and Therapy, 38, 319–345.
- Foa, E. B., Cashman, L., Jaycox, L., & Perry, K. (1997). The validation of a self-report measure for posttraumatic stress disorder: The posttraumatic diagnostic scale. Psychological Assessment, 9, 445–451.
- Foa, E. B., Ehlers, A., Clark, D. M., Tolin, D. F., & Orsillo, S. M. (1999). The Posttraumatic Cognitions Inventory (PTCI): Development and validation. Psychological Assessment, 11, 303–314.
- Foa, E. B., & Riggs, D. S. (1993). Post-traumatic stress disorder in rape victims. In J. Oldham, M. B. Riba, & A. Tasman (Eds.), American Psychiatric Press review of psychiatry (Vol. 12, pp. 273–303). Washington, DC: American Psychiatric Press.
- Harder, S., Veilleux, M., & Suissa, S. (1998). The effect of socio-demographic and crash-related factors on the prognosis of whiplash. Journal of Clinical Epidemiology, 51, 377–384.
- Horowitz, M. J. (1986). Stress response syndromes ( 2nd ed.). Northvale, NJ: Jason Aronson.
- Hoyle, R. H., & Panter, A. T. (1995). Writing about structural equation models. In R. H. Hoyle (Ed.), Structural equation modeling: Concepts, issues and applications (pp. 158–198). London: Sage.
- Hu, L., & Bentler, P. M. (1998). Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification. Psychological Methods, 4, 424–453.
- Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1–55.
- Janoff-Bulman, R. (1989). Assumptive worlds and the stress of traumatic events: Applications of the schema construct. Social Cognition, 7, 113–139.
- Janoff-Bulman, R. (1992). Shattered assumptions—Towards a new psychology of trauma. New York: Free Press.
- Jöreskog, K. G., & Sörbom, D. (1981). LISREL V: Analysis of linear structural relationships by the method of maximum likelihood. Chicago: National Educational Resources.
- Jöreskog, K. G., & Sörbom, D. (1993). Structural equation modeling with the SIMPLIS command language. Chicago: Scientific Software, Inc.
- Jöreskog, K. G., & Sörbom, D. (2005a). LISREL 8.72. Chicago: Scientific Software Inc.
- Jöreskog, K. G., & Sörbom, D. (2005b). PRELIS 2.72. Chicago: Scientific Software Inc.
- Lerner, M. J. (1970). The desire for justice and the reactions to victims: Social psychological studies of some antecedents and consequences. In J. Macaulay & L. Berkowitz (Eds.), Altruism and helping behavior (pp. 205–229). New York: Academic Press.
-
Lerner. M. J.
(1980).
The belief in a just world.
New York: Plenum.
10.1007/978-1-4899-0448-5 Google Scholar
- Magwaza, A. S. (1999). Assumptive world of traumatized South African adults. Journal of Social Psychology, 139, 622–630.
- Mayou, R., Tyndel, S., & Bryant, B. (1997). Long-term outcome of motor vehicle accident injury. Psychosomatic Medicine, 59, 578–584.
- Mollica, R. F., Caspi-Yavin, Y., Bollini, P., Truong, T., Tor, S., & Lavelle, J. (1992). The Harvard Trauma Questionnaire: Validating a cross-cultural instrument for measuring torture, trauma and posttraumatic stress disorder in Indochinese refugees. Journal of Nervous and Mental Disease, 180, 111–116.
-
Satorra, A.
(1992).
Asymptotic robust inferences in the analysis of mean and covariance structures.
Sociological Methodology,
22, 249–278.
10.2307/270998 Google Scholar
- Satorra, A., & Bentler, P. (2001). A scaled difference chi-square test statistic for moment structure analysis. Psychometrika, 66, 507–514.
- Schwartzberg, S. S., & Janoff-Bulman, R. (1991). Grief and the search for meaning: Exploring the assumptive worlds of bereaved college students. Journal of Social and Clinical Psychology, 10, 270–288.
- Solomon, Z., Iancu, I., & Tyano, S. (1997). World assumptions following disaster. Journal of Applied Social Psychology, 27, 1785–1798.
- Slaikeu, K. A. (1990). Crisis intervention: A handbook for practice and research ( 2nd ed.). Needham Heights, MA: Allyn & Bacon.
- Tanaka, J. S. (1987). How big is enough? Sample size and goodness-of fit in structural equations models with latent variables. Child Development, 58, 134–146.