Abstract
The Interpersonal Needs Questionnaire (INQ) assesses Thwarted Belongingness (TB) and Perceived Burdensomeness (PB), two predictors of suicidal thoughts. Up to now, the use of item response theory (IRT) for the evaluation of the INQ has been restricted to a single study with clinically depressed and suicidal youth. Therefore, the psychometric properties of the two INQ-15-subscales TB and PB were now evaluated in a general population sample (N = 2508) and a clinical adult population sample (N = 185) using IRT, specifically the Rasch model (RM) and the graphical log-linear Rasch model (GLLRM). Of special interest was whether the INQ-subscales displayed differential item functioning (DIF) across the two different samples and how well the subscales were targeted to the two sample populations. For the clinical sample, fit to a GLLRM could be established for the PB-subscale and fit to a RM was established for a five-item version of the TB-subscale. In contrast, for the general population sample fit to a GLLRM could only be achieved for the PB-subscale. Overall, there was strong evidence of local dependence (LD) across items and of some age- and gender-related DIF. Both subscales exhibited massive DIF related to the sample, indicating that they don’t work the same across the general population and clinical sample. As expected, targeting of both INQ-subscales was much better for the clinical population. Further investigations of the INQ-15 under the Rasch approach in a large clinical population are recommended to determine and optimize the scale performance.
Highlights
ObjectivesThe aim of the present study was to use item response theory (IRT) to evaluate the psychometric properties of the German INQ15 version in the general and a clinical population
Two aspects which have not been investigated in other studies before were of special interest: Applying the Rasch model (RM) and the graphical log-linear Rasch model (GLLRM) made it possible to investigate the targeting of the Interpersonal Needs Questionnaire (INQ) subscales, local dependence (LD) across items as well as the question whether the INQ subscales can be used the same way across different samples
The findings related to the LD of INQ1 and INQ2 are consistent with the results reported by Hallensleben et al (2016), where the inclusion of residual correlations between these items in the confirmatory factor analyses (CFA) allowed to improve the fit of the obtained final model for this population
Summary
The aim of the present study was to use IRT to evaluate the psychometric properties of the German INQ15 version in the general and a clinical population
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