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

Abstract

Primary Objective Social problem solving deficits characterize individuals with traumatic brain injury (TBI). Poor social problem solving interferes with daily functioning and productive lifestyles. Therefore, it is of vital importance to use the appropriate instrument to identify deficits in social problem solving for individuals with TBI. This study investigates factor structure and item-level psychometrics of the Social Problem Solving Inventory-Revised Short Form (SPSI-R:S), for adults with moderate and severe TBI. Research Design Secondary analysis of 90 adults with moderate and severe TBI who completed the SPSI-R:S. Methods and Procedures An exploratory factor analysis (EFA), principal components analysis (PCA) and Rasch analysis examined the factor structure and item-level psychometrics of the SPSI-R:S. Main Outcomes and Results The EFA showed three dominant factors, with positively worded items represented as the most definite factor. The other two factors are negative problem solving orientation and skills; and negative problem solving emotion. Rasch analyses confirmed the three factors are each unidimensional constructs. Conclusions The total score interpretability of the SPSI-R:S may be challenging due to the multidimensional structure of the total measure. Instead, we propose using three separate SPSI-R:S subscores to measure social problem solving for the TBI population.

Full and Short Versions of the Coping Inventory for Stressful Situations and Social Problem-Solving Inventory-Revised

“…Since their development, the factor structures of the different versions of the CISS and SPSI-R have been investigated by researchers across countries, such as China (Siu & Shek, 2005), Japan (Golperwar, 2014), and South Africa (Sorsdahl, Stein, & Myers, 2017), and within different populations such as patients with brain injuries (Li, Waid-Ebbs, Velezo, & Heaton, 2016), patients diagnosed with clinical depression (McWilliams, Cox, & Enns, 2003), and the general population (Watanabe, Yokoyama, & Furukawa, 2015).…”

Item-Level Psychometrics of the Glasgow Outcome Scale

“…The data used in this article were retrieved from a de-identified data set in a previous project, a cognitive instrument development study (Li, Waid-Ebbs, Velozo, & Heaton, 2015). In this study, all participants gave their informed consent, and the University of Florida institutional review board approved the study.…”

Exploring the Impact of Missing Data on Residual-Based Dimensionality Analysis for Measurement Models

“…To illustrate the range of content areas in which this approach is applied, we will provide a few examples. First, Li et al (2016) used principal components of Rasch model residuals to evaluate the factor structure of a scale designed to measure social problem solving for individuals who had experienced traumatic brain injuries. Also, within the context of rehabilitation medicine, Balasubramanian et al (2016) used a Rasch residual PCA approach to evaluate the dimensionality of a lower extremity functioning assessment for individuals with subacute and chronic stroke conditions.…”