Inventory of Complicated Spiritual Grief 2.0 (ICSG 2.0): Validation of a revised measure of spiritual distress in bereavement

Spirituality has long served as a source of solace for many grievers following a loss. For other mourners, whose bereavement experience has been significantly challenged by struggles in their relationship with God and/or their faith community, the opposite is true. Complicated spiritual grief (CSG) is a spiritual crisis following the loss of a loved one. To assess CSG in samples of bereaved adults, a simple-to-use, multidimensional measure of spiritual crisis following loss called the Inventory of Complicated Spiritual Grief (ICSG) was previously developed and validated. However, subsequent research providing greater clarity about the construct of CSG supported the need to revise and update the ICSG. The goal of the present study was to establish the psychometric validity of a revised measure of CSG, called the Inventory of Complicated Spiritual Grief 2.0 (ICSG 2.0), with a large, diverse cohort of bereaved Christian adults (N = 440). Analyses of the bifurcated sample supported a three-factor model measuring insecurity with God, estrangement from the spiritual community, and disruption in religious practices. Further analyses supported the convergent and incremental validity of a 28-item scale relative to other theoretically similar instruments and measures of poor bereavement outcome, indicating the instrument's research and clinical usefulness.

The Factor Structure of Outcome Questionnaire–45.2 Scores Using Confirmatory Tetrad Analysis–Partial Least Squares

The researchers employed a confirmatory tetrad analysis (CTA) using partial least squares–structural equation modeling (PLS-SEM) with Outcome Questionnaire–45.2 (OQ-45) data, examining the measurement model of the OQ-45 scores with a sample of male adult clients ( N = 1,558) receiving individual therapy at a university-based community counseling and research center (UBCCRC). Using CTA-PLS, this study examined the reflective and formative nature of each of the OQ-45 items and dimensions. These results identified the innovative second-order formative–formative three-factor model as a best alternative measurement model to represent and calculate the scores of OQ-45 scale.

An Analysis of the World Health Organization Disability Assessment Schedule 2.0 Measurement Model Using Partial Least Squares-Structural Equation Modeling

The researchers examined the factor structure and model specifications of the World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0) with confirmatory tetrad analysis (CTA) using partial least squares-structural equation modeling (PLS-SEM) with a sample of adult clients (N = 298) receiving individual therapy at a university-based counseling research center. The CTA and PLS-SEM results identified the formative nature of the WHODAS 2.0 subscale scores, supporting an alternative measurement model of the WHODAS 2.0 scores as a second-order formative-formative model.

Forensic Investigations of Geohazards: The Norcia 2016 Earthquake

Earthquakes represent one of the world’s most significant hazards in terms of damage to human and animal life, and property. Earthquakes also cause many other related fatalities and damage to urban structures. This paper presents the forensic investigation of failures induced by the Norcia 2016 earthquake in Italy. The detailed geophysical field investigations were carried out at selected locations in two cities: Rome and Amelia. The places of investigation were 150 km and 90 km, respectively, from the epicenter. A ground penetrating radar (GPR) survey was carried out at the sites to highlight structural failures, and included a partially damaged urban bridge, and the cracked wall of a private house. These failures have been discussed with reference to the field measurements carried out. In both cases, the GPR radargram showed clear lesions along with their geometry and location. This forensic geoscientific analysis highlights the importance of detecting structural damage immediately after a geohazard event to help plan proper interventions, efforts to prevent human losses and help law enforcement to focus their forensic investigations.

Assessment of Long-Term Mate Preferences in Iran

Previous research suggests that assessment of mate preferences has received relatively little psychometric attention from researchers, particularly in non-Western cultures. The current research was designed to (1) extend previous findings on long-term mate preferences by using a qualitative strategy, (2) develop a psychometrically sound scale for assessment of long-term mate preferences in men, and (3) develop a sex-neutral scale for assessment of long-term mate preferences. Six dimensions of mate preferences emerged for men: F = family/domesticity, A = attractiveness/sexuality, K = kindness/dependability, E = education/intelligence, R = religiosity/chastity, and S = status/resources. These male-specific dimensions of mate preferences showed satisfactory concurrent and convergent validity as well as high internal consistency coefficients. We mixed the female- and male-specific measures of mate preferences and arrived at 20 characteristics without culture- or sex-specific content. We further hypothesized that the 20-item scale of mate preferences would have a five-factor structure (i.e., kindness/dependability, attractiveness/sexuality, status/resources, education/intelligence, religiosity/chastity [KASER]) in men and women and that this model would replicate sex differences cited in the evolutionary psychological literature. Measurement invariance was evidenced across sexes and sex differences accorded with those in the literature. Therefore, the five-factor model of long-term mate preferences (i.e., KASER model) as measured by the Iranian Mate Preferences Scale-20 may be used to evaluate long-term mate preferences in men and women in Iran. Limitations are noted and future directions are discussed in the light of evolutionary perspective on human mating psychology.