A Norwegian version of the Obsessive‐Compulsive Inventory–Revised: Psychometric properties

Solem, S., Hjemdal, O., Vogel, P.A. & Stiles, T.C. (2010). A Norwegian version of the Obsessive‐Compulsive Inventory–Revised: Psychometric properties. Scandinavian Journal of Psychology 51, 509–516. The aims of this study were to test the psychometric properties of the Norwegian version of the Obsessive‐Compulsive Inventory–Revised (OCI‐R). The study included a student/community control sample (N = 1167) and a clinical sample (N = 72) with a diagnosis of obsessive‐compulsive disorder (OCD). The results indicated a good fit for the six‐factor structure of the OCI‐R. The mean scores and standard deviations were similar to that of studies from other countries as was the internal consistency. The OCI‐R scores were significantly higher in the OCD sample compared to the control sample. All the subscales, except hoarding, were significant predictors of obsessive‐compulsive severity, and the OCI‐R subscales seemed to be in agreement with the different subtypes of OCD according to DSM‐IV. The OCI‐R showed meaningful correlations with measures related to obsessive compulsive symptoms. As expected, it showed the strongest correlation with the Yale‐Brown Obsessive Compulsive Scale, followed by measures of worry, anxiety, and depression. In summary, the Norwegian OCI‐R showed adequate psychometric properties suggesting it could be a suitable measure of obsessive‐compulsive symptoms.     

Cross‐cultural validation of the Resilience Scale for Adults (RSA) in Iran

Jowkar, B., Friborg, O. & Hjemdal, O. (2010). Cross‐cultural validation of the Resilience Scale for Adults (RSA) in Iran. Scandinavian Journal of Psychology, 51, 418–425. Resilience, as an ability to withstand and rebound from crisis and adversity, is becoming an increasingly popular concept in research on intervention and prevention of mental health. The present study examined psychometric properties of a Persian version of the Resilience Scale for Adults (RSA), a scale intended to measure protective factors presumed to enhance resilience. The participants were 373 university undergraduate students, as well as 30 pairs of run‐away girls and a matched control group. A confirmatory factor analysis verified the Norwegian five‐factor structure. All subscale scores, personal competence, social competence, family cohesion, social resources and structured style, had good reliability. The convergent validity of the RSA was supported by showing positive associations with another resilience scale, i.e., a Persian version of the Connor‐Davidson Resilience Scale (CD‐RISC). Predictive validity of the RSA was supported, as well, by significantly differentiating between girls who had run away from home and a matched control group. The results indicate that the RSA may be a valid and reliable scale for the assessment of resilience protective resources in an Iranian population.     

Automatic thoughts and meta‐cognition as predictors of depressive or anxious symptoms: A prospective study of two trajectories

The purpose of this prospective study was to explore the Automatic Thought Questionnaire Negative (ATQ‐30‐N) and the Meta‐cognitions Questionnaire (MCQ‐30) as predictors in the development of depressive or anxious symptoms. A sample (N = 201) completed the ATQ‐30‐N, MCQ‐30, and the Hopkins Symptom Checklist‐25 (HSCL‐25) twice with a three month interval. The HSCL‐25 measures both depressive and anxiety symptoms. Separate multiple hierarchical regression analyses indicated that the ATQ‐30‐N was a positive predictor for levels of depressive symptoms, while the MCQ‐30 was a predictor of both levels of anxiety and depressive symptoms, at follow‐up, when controlling for gender, age and pre‐test levels of symptoms. However, the MCQ‐30 did not predict future levels of depressive symptoms, when levels of automatic negative thoughts measured by the ATQ‐30‐N were statistically controlled for. The findings suggested that the ATQ‐30‐N predicts future levels of depressive symptoms, while the MCQ‐30 primarily predicts future levels of anxiety.