Self-Report Symptom Inventory

Merten, Thomas; Giger, Peter; Stevens, Andreas

doi:10.1037/t56419-000

Cited by 4 publications

(15 citation statements)

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“…With this cut-off, there were two “false-positive” cases (4%). Table 3 also includes accuracy information for the cut-offs of > 4 and > 15, which the SRSI manual (Merten et al, 2019) describes as liberal and rigorous, respectively (see ).…”

Section: Resultsmentioning

confidence: 99%

“…Follow-up research provided further evidence for the notion that honest participants/patients endorse genuine symptoms, but only few pseudosymptoms, whereas this differential endorsement is largely absent among people who engage in over-reporting (Boskovic, Hope, Ost, Orthey, & Merckelbach, 2019; Boskovic et al, 2018; Merten et al, 2019). Van Helvoort, Merckelbach, and Merten (2019) recently administered the SRSI to forensic in-patients who had no motive to engage in symptom distortion.…”

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confidence: 93%

“…With these limitations in mind, a new stand-alone measure of over-reporting, the Self-Report Symptom Inventory (SRSI; Merten et al, 2016; Merten, Giger, Merckelbach, & Stevens, 2019), was developed. The SRSI is a 107-item questionnaire with a dichotomous response format ( true or false ).…”

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confidence: 99%

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The Self-Report Symptom Inventory as an Instrument for Detecting Symptom Over-Reporting

Bošković

Merten

Hope

et al. 2020

European Journal of Psychological Assessment

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Abstract. The recently developed Self-Report Symptom Inventory (SRSI) intends to provide an alternative approach to the detection of symptom over-reporting. Unlike other measures, the SRSI includes both non-existent symptoms (i.e., pseudosymptoms) and genuine symptoms. Previous research using the German SRSI showed that people who exaggerate their complaints over-endorse both types of symptoms. In the current simulation experiment, we tested whether the Dutch and English SRSI are effective in identifying over-reporting by comparing SRSI scores of an honest group ( n = 51) with those of two experimental simulator groups (pain, n = 54; anxiety, n = 53). The pain and anxiety simulators endorsed significantly more genuine symptoms and pseudosymptoms than honest participants (ηp2 = .50 and ηp2 = .30, respectively). Furthermore, pain and anxiety over-reporters specifically over-endorsed symptoms corresponding to their simulation instructions (Cohen’s ds > 0.77). Using the recommended cut-off score, the SRSI detected 48% of pain over-reporters and 73% of anxiety over-reporters, with areas under the curve (AUC) ranging from .88 to .91. These results indicate that the SRSI is a promising tool for identifying over-reporting, but further research with clinical samples is needed.

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Section: Resultsmentioning

confidence: 99%

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confidence: 93%

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The Self-Report Symptom Inventory as an Instrument for Detecting Symptom Over-Reporting

Bošković

Merten

Hope

et al. 2020

European Journal of Psychological Assessment

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“…Rogers, 1997, for a summary report of research approaches). Based on diverse data sources, the SRSI test manual (Merten et al, 2019) reports sensitivity estimates of 0.83 for the screening cutoff score (90% specificity) and 0.62 for the standard cutoff score (95% specificity).…”

Section: Discussionmentioning

confidence: 99%

“…Merten et al (2016) first described its construction and the results obtained with the original German version. The test manual (Merten, Giger, Merckelbach, & Stevens, 2019) contains many additional results, partly obtained with foreign-language adaptations (see below). In Switzerland, data for a representative population-based sample of 100 German-speaking adults was collected (Giger & Merten, 2013).…”

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Equivalence of the German and the French Versions of the Self-Report Symptom Inventory

Giger

Merten

2019

Swiss Journal of Psychology

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Abstract. Against the background of the growing importance of symptom validity assessment both in forensic and clinical or rehabilitation contexts, a new instrument for identifying overreporting was developed. In order to study the equivalence of the German and the French versions, we divided the item pool of the Self-Report Symptom Inventory (SRSI) into two presumably equivalent half-forms. A sample of 40 adult bilingual Swiss nationals with a mean age of 39.9 years responded honestly to one of the half-forms in German and to the other in French. In a subsequent experimental malingering condition, they were asked to simulate sequelae of a whiplash injury and to respond to the SRSI again. In both conditions, they also filled out the Structured Inventory of Malingered Symptomatology (SIMS). The results showed no differences between the two language versions in both conditions. Classification accuracy was very high (100% specificity, 90% sensitivity for the standard cutoff score). Reliability estimates were 0.93 for endorsement of genuine symptoms and 0.97 for pseudosymptom endorsement. In the malingering condition, the correlation between the number of reported pseudosymptoms and the SIMS scores was 0.69. The current results add to the database available for the SRSI and support the appropriateness of the French version.

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Detecting Symptom Overreporting – Equivalence of the Dutch and German Self-Report Symptom Inventory

Dandachi-FitzGerald,

Pienkohs,

Merten

et al. 2023

Psychological Test Adaptation and Development

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Abstract. The Self-Report Symptom Inventory (SRSI) intends to measure symptom overreporting. To assess the Dutch and German SRSI equivalence, both versions were split into two half-forms. Forty bilingual participants were randomly allocated to two groups that completed the first half in German and the second half in Dutch or vice versa. Each group completed the SRSI honestly and then under feigning instructions. For both conditions, the Dutch and German SRSI did not statistically significantly differ within and across the two groups. For most comparisons, the Bayes factor was ≥ 3, indicating moderate evidence favoring the equivalence of language versions and half-forms. Genuine and pseudosymptoms endorsement was significantly higher in the feigning than in the honest condition (both Zs = 5.44, r rb = 1.00). The SRSI standard cut score correctly identified honest responding and detected 80% of feigned responses. Our results align with Giger and Merten’s (2019) German and French SRSI equivalence study.

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Self-Report Symptom Inventory

Cited by 4 publications

References 0 publications

The Self-Report Symptom Inventory as an Instrument for Detecting Symptom Over-Reporting

The Self-Report Symptom Inventory as an Instrument for Detecting Symptom Over-Reporting

Equivalence of the German and the French Versions of the Self-Report Symptom Inventory

Detecting Symptom Overreporting – Equivalence of the Dutch and German Self-Report Symptom Inventory

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