Factor structure and item level psychometrics of the Social Problem Solving Inventory – Revised: Short Form in traumatic brain injury

REFERENCES

• Andrich, D. (1982). An index of person separation in latent trait theory, the traditional KR20 index, and the Guttman scale response pattern. Educational Psychology Research, 9, 95–104.
   Google Scholar
• Ashley, M. J., Ashley, J., & Kreber, L. (2012). Remediation of information processing following traumatic brain injury: A community-based rehabilitation approach. NeuroRehabilitation, 31(1), 31–39. doi: 10.3233/NRE-2012-0772
   PubMed Web of Science ®Google Scholar
• Belzer, K. D., D'Zurilla, T. J., & Maydeu-Olivares, A. (2002). Social problem solving and trait anxiety as predictors of worry in a college student population. Personality and Individual Differences, 33, 573–585. doi:10.1016/S0191-8869(01)00173-8
   Web of Science ®Google Scholar
• Bond, T. G., & Fox, C. M. (2001). Applying the Rasch model: Applying the Rasch model: Fundamental measurement in the human sciences. Mahwah, NJ: Lawrence Erlbaum Associates Publishers.
   Google Scholar
• Bond, T. G., & Fox, C. M. (2007a). Rasch modeling applied: Rating scale design. In T. G. Bond & C. M. Fox (Eds.), Applying the rasch model: Fundamental measurement in the human sciences (2nd ed., pp. 219–233). Mahwah, NJ: Lawrence Erlbaum Associates Publishers.
   Google Scholar
• Bond, T. G., & Fox, C. M. (2007b). Model fit and unidimensionality. In T. G. Bond & C. M. Fox (Eds.), Applying the rasch model: Fundamental measurement in the human sciences (2nd ed., pp. 235–260). Mahwah, NJ: Lawrence Erlbaum Associates Publishers.
   Google Scholar
• Brown, J. D. (2009). Choosing the right type of rotation in PCA and EFA. Shiken: JALT Testing & Evaluation SIG Newsletter, 13(3), 20–25. ISSN1881--5537
   Google Scholar
• Brown, T. (2006). Confirmatory factor analysis for applied research. New York: The Guildford Press.
   Google Scholar
• Cameron, J. I., Shin, J. L., Williams, D., & Stewart, D. E. (2004). A brief problem-solving intervention for family caregivers to individuals with advanced cancer. Journal of Psychosomatic Research, 57(2), 137–143. doi:10.1016/S0022-3999(03)00609-3
   PubMed Web of Science ®Google Scholar
• Cantor, J., Ashman, T., Dams-O'Connor, K., Dijkers, M. P., Gordon, W., Spielman, L., … Oswald, J. (2014). Evaluation of the short-term executive plus intervention for executive dysfunction after traumatic brain injury: A randomized controlled trial with minimization. Archives of Physical Medicine and Rehabilitation, 95(1), 1–9.e3. doi: 10.1016/j.apmr.2013.08.005
   PubMed Web of Science ®Google Scholar
• Cattell, R. B. (1966). The scree test for the number of factors. Multivariate Behavioral Research, 1(2), 245–276. doi: 10.1207/s15327906mbr0102_10
   PubMed Web of Science ®Google Scholar
• Chang, E. C. (2002). Examining the link between perfectionism and psychological maladjustment: Social problem solving as a buffer. Cognitive Therapy and Research, 26(5), 581–595. doi: 10.1023/A:1020329625158
   Web of Science ®Google Scholar
• Drasgow, F., & Hulin, C. L. (1990). Item response theory. In M. D. Dunnette & L. M. Hough (Eds.), Handbook of industrial and organizational psychology: Vol I (2nd ed., pp. 577–636). Pa10 Alto, CA: Consulting Psychologist Press.
   Google Scholar
• Dreer, L. E., Berry, J., Rivera, P., Snow, M., Elliott, T. R., Miller, D., & Little, T. D. (2009). Efficient assessment of social problem-solving abilities in medical and rehabilitation settings: A Rasch analysis of the Social Problem-Solving Inventory-Revised. Journal of Clinical Psychology, 65(7), 653–669. doi: 10.1002/jclp.20573
   PubMed Web of Science ®Google Scholar
• Dreer, L. E., Elliott, T. R., Fletcher, D. C., & Swanson, M. (2005). Social problem-solving abilities and psychological adjustment of persons in low vision rehabilitation. Rehabilitation Psychology, 50(3), 232–238. doi: 10.1037/0090-5550.50.3.232
   Web of Science ®Google Scholar
• D'Zurilla, T. J., & Goldfried, M. R. (1971). Problem solving and behavior modification. Journal of Abnormal Psychology, 78, 107–126. doi: 10.1037/h0031360
   PubMed Web of Science ®Google Scholar
• D'Zurilla, T. L., & Nezu, A. M. (1990). Development and preliminary evaluation of the social problem-solving inventory. Psychological Assessment, 2(2), 156–163. doi: 10.1037/1040-3590.2.2.156
   Google Scholar
• D'Zurilla, T. J., Nezu, A. M., & Maydeu-Olivares, A. (2002). Social problem-solving inventory-revised (SPSI-R): Technical manual. North Tonawanda, NY: Multi-Health Systems, Inc.
   Google Scholar
• D'Zurilla, T. J., Neuz, A. M., & Maydeu-Olivares, A. (2004). Social problem solving: Theory and assessment. In E. C. Chang, T. J. D'Zurilla, & L. J. Sanna (Eds.), Social problem solving: Theory, research, and training (pp. 11–27). Washington, DC: American Psychological Association.
   Google Scholar
• Ghahramanlou-Holloway, M., Bhar, S. S., Brown, G. K., Olsen, C., & Beck, A. T. (2012). Changes in problem-solving appraisal after cognitive therapy for the prevention of suicide. Psychological Medicine, 42(6), 1185–1193. doi: 10.1017/S0033291711002169
   PubMed Web of Science ®Google Scholar
• Green, R. E., Colella, B., Hebert, D. A., Bayley, M., Kang, H. S., Till, C., & Monette, G. (2008). Prediction of return to productivity after severe traumatic brain injury: Investigations of optimal neuropsychological tests and timing of assessment. Archives of Physical Medicine and Rehabilitation, 89(12 Suppl), S51–S60. doi: 10.1016/j.apmr.2008.09.552
   PubMed Web of Science ®Google Scholar
• Hanten, G., Wilde, E. A., Menefee, D. S., Li, X., Lane, S., Vasquez, C., … Levin, H. S. (2008). Correlates of social problem solving during the first year after traumatic brain injury in children. Neuropsychology, 22(3), 357–370. doi: 10.1037/0894-4105.22.3.357
   PubMed Web of Science ®Google Scholar
• Hart, T., Millis, S., Novack, T., Englander, J., Fidler-Sheppard, R., & Bell, K. R. (2003). The relationship between neuropsychologic function and level of caregiver supervision at 1 year after traumatic brain injury. Archives of Physical Medicine and Rehabilitation, 84(2), 221–230. Retrieved from http://dx.doi.org/10.1053/apmr.2003.50023 doi: 10.1053/apmr.2003.50023
   PubMed Web of Science ®Google Scholar
• Hawkins, D., Sofronoff, K., & Sheffield, J. (2009). Psychometric properties of the social problem solving inventory-revised short-form: Is the short form a valid and reliable measure for young adults? Cognitive Therapy & Research, 33(5), 462–470. doi: 10.1007/s10608-008-9209-7
   Web of Science ®Google Scholar
• Hogarty, K. Y., Hines, C. V., Kromrey, J. D., Ferron, J. M., & Mumford, K. R. (2005). The quality of factor solutions in exploratory factor analysis: The influence of sample size, communality, and overdetermination. Educational and Psychological Measurement, 65(2), 202–226. doi: 10.1177/0013164404267287
   Web of Science ®Google Scholar
• Janusz, J. A., Kirkwood, M. W., Yeates, K. O., & Taylor, H. G. (2002). Social problem-solving skills in children with traumatic brain injury: Long-term outcomes and prediction of social competence. Child Neuropsychology, 8(3), 179–194. doi: 10.1076/chin.8.3.179.13499
   PubMed Web of Science ®Google Scholar
• Kaiser, H. F. (1960). The application of electronic computers to factor analysis. Educational and Psychological Measurement, 20, 141–151. Retrieved from http://dx.doi.org/10.1177/001316446002000116 doi: 10.1177/001316446002000116
   Web of Science ®Google Scholar
• Krpan, K. M., Stuss, D. T., & Anderson, N. D. (2011a). Planful versus avoidant coping: Behavior of individuals with moderate-to-severe traumatic brain injury during a psychosocial stress test. Journal of the International Neuropsychological Society, 7(2), 248–255. doi: 10.1017/S1355617710001499
   Web of Science ®Google Scholar
• Krpan, K. M., Stuss, D. T., & Anderson, N. D. (2011b). Coping behaviour following traumatic brain injury: What makes a planner plan and an avoider avoid? Brain Injury, 25(10), 989–996. doi: 10.3109/02699052.2011.597045
   PubMed Web of Science ®Google Scholar
• Linacre, J. M. (1998). Table 13.1 Item statistics in measure order. Rasch Measurement Forum. Retrieved December 12, 2013, from http://www.winsteps.com/winman/index.htm? correlations.htm
   Google Scholar
• Linacre, J. M. (1999). Investigating rating scale category utility. Journal of Outcome Measurement, 3(2), 103–122.
   PubMedGoogle Scholar
• Linacre, J. M. (2002). Optimizing rating scale category effectiveness. Journal of Applied Measurement, 3(1), 85–106.
   PubMedGoogle Scholar
• Linacre, J. M. (2004). Rasch model estimation: Further topics. Journal of Applied Measurement, 5, 95–110.
   PubMedGoogle Scholar
• Linacre, J. M. (2010). Predicting responses from Rasch measures. Journal of Applied Measurement, 11, 1–10.
   PubMedGoogle Scholar
• Linacre, J. M. (2012). A user's guide to Winsteps ministep 3.70.0: Rasch model computer programs. Chicago, IL: Winsteps.
   Google Scholar
• Linacre, M. (2014). Dimensionality: Contrasts & variances. Retrieved January 26, 2015, from Rasch Measurement Forum at http://www.winsteps.com/winman/principalcomponents.htm
   Google Scholar
• Matasunaga, M. (2010). How to factor-analyze your data right: Do's, don'ts, and how-to's. International Journal of Psychological Research, 3(1), 97–110.
   Google Scholar
• Maydeu-Olivares, A., & D'Zurilla, T. J. (1996). A factor-analytic study of the social problem-solving inventory: An integration theory and data. Cognitive Therapy and Research, 20(2), 115–133. doi: 10.1007/BF02228030
   Web of Science ®Google Scholar
• McDonald, B. C., Flashman, L. A., & Saykin, A. J. (2002). Executive dysfunction following traumatic brain injury: Neural substrates and treatment strategies. Journal of Neurorehabilitation and Neural Repair, 17(4), 333–344.
   PubMed Web of Science ®Google Scholar
• Milders, M., Fuchs, S., & Crawford, J. R. (2003). Neuropsychological impairments and changes in emotional and social behaviour following severe traumatic brain injury. Journal of Clinical Experimental Neuropsychology, 25(2), 157–172. doi: 10.1076/jcen.25.2.157.13642
   PubMed Web of Science ®Google Scholar
• Proitsi, P., Hamilton, G., Tsolaki, M., Lupton, M., Daniilidou, M., Hollingworth, P., … Powell, J. F. (2009). A multiple indicators multiple causes (MIMIC) model of behavioural and psychological symptoms in dementia (BPSD). Neurobiology Aging, 32(3): 434–442. doi:10.1016/j.neurobiolaging.2009.03.005
   PubMed Web of Science ®Google Scholar
• Rath, J. F., Hennessy, J. J., & Diller, L. (2003a). Social problem solving and community integration in post-acute rehabilitation outpatients with traumatic brain injury. Rehabilitation Psychology, 48(3), 137–144. doi: 10.1037/0090-5550.48.3.137
   Web of Science ®Google Scholar
• Rath, J. F., Hradil, A. L., Litke, D. R., & Diller, L. (2011). Clinical applications of problem-solving research in neuropsychological rehabilitation: Addressing the subjective experience of cognitive deficits in outpatients with acquired brain injury. Rehabilitation Psychology, 56(4), 320–328. doi: 10.1037/a0025817
   PubMed Web of Science ®Google Scholar
• Rath, J. F., Simon, D., Langenbahn, D. M., Sherr, R. L., & Diller, L. (2003b). Group treatment of problem-solving deficits in outpatients with traumatic brain injury: A randomised outcome study. Neuropsychological Rehabilitation: An International Journal, 13(4), 461–488. doi: 10.1080/09602010343000039
   Web of Science ®Google Scholar
• Robertson, R. H., & Knight, R. G. (2008). Evaluation of social problem solving after traumatic brain injury. Neuropsychology Rehabilitation, 18(2), 236–250. doi: 10.1080/09602010701734438
   PubMed Web of Science ®Google Scholar
• Smith, A. B., Rush, R., Fallowfield, L. J., Velikova, G., & Sharpe, M. (2008). Rasch fit statistics and sample size considerations for polytomous data. BMC Med Res Methodology, 8(33), 1–11. doi: 10.1186/1471-2288-8-33
   PubMed Web of Science ®Google Scholar
• van Sonderen, E., Sanderman, R., & Coyne, J. C. (2013). Ineffectiveness of reverse wording of questionnaire items: Let's learn from cows in the rain. PLoS One, 8(7), e68967. doi: 10.1371/journal.pone.0068967
   PubMed Web of Science ®Google Scholar
• Velozo, C. A., Forsyth, K., & Kielhofner, G. (2006). Objective measurement: The influence of item response theory on research and practice. In G. Kielhofner (Ed.), Research in occupational therapy (pp. 177–200). Philadelphia: F.A. Davis.
   Google Scholar
• Velozo, C. A., Wang, Y., Lehman, L., & Wang, J. H. (2008). Utilizing Rasch measurement models to develop a computer adaptive self-report of walking, climbing, and running. Disability Rehabilitation, 30(6), 458–467. doi: 10.1080/09638280701617317
   PubMed Web of Science ®Google Scholar
• Von Cramon, D. Y., Matthes-von Cramon, G., & Mai, N. (1991). Problem-solving deficits in brain-injured patients: A therapeutic approach. Neuropsychological Rehabilitation, 1(1), 45–64. doi: 10.1080/09602019108401379
   Google Scholar
• Wang, J., Matthews, J., Sereika, S., Chasens, E., Ewing, L., & Burke, L. (2013). Psychometric evaluation of the social problem-solving inventory–revised among overweight or obese adults. Journal of Psychoeducational Assessment, 31(6), 585–590. doi: 10.1177/0734282913480470
   Web of Science ®Google Scholar
• Wang, W. C., & Chen, C. T. (2005). Item parameter recovery, standard error estimates, and fit statistics of the Winsteps program for the family of rasch models. Educational and Psychological Measurement, 65(3), 376–404. doi: 10.1177/0013164404268673
   Web of Science ®Google Scholar
• Wu, M., & Adams, R. J. (2013). Properties of Rasch residual fit statistics. Journal of Applied Measurement, 14(4), 339–355.
   PubMedGoogle Scholar