This investigation was conducted to validate the Beck Depression Inventory--II (BDI-II; A. T. Beck, R. A. Steer, & G. K. Brown, 1996) in samples of adolescent psychiatric inpatients. The sample in each substudy was primarily Caucasian. In Study 1, expert raters (N=7) and adolescent psychiatric inpatients (N=13) evaluated the BDI-II items to assess content validity. In Study 2, confirmatory factor analyses of several first-order solutions failed to provide adequate fit estimates to data for 205 boys, 203 girls, and the combined sample. Exploratory factor analyses identified new item-factor solutions. Reliability estimates were good (range =.72 to.91) for the BDI-II total and scale scores. In Study 3 (N=161 boys and 158 girls from Study 2), preliminary evidence for estimates of concurrent, convergent, and discriminant validity were established for the BDI-II.
This study examined the vulnerability of several self-report instruments commonly used in neuropsychological evaluation - the Iowa Interview for Partial Seiwre-Like Symptoms, Postconcussion Checklist (PCL). Postconcussion Syndrome Checklist (PCSC), and Beck Depression Inventory (BDI) - to exaggerated or feigned complaints. Two hundred twenty-nine college student volunteers completed the instruments under one of three conditions: I) Base Rate/Control; simulated Head Injured, but 2) without or 3) with prospect of financial gain for the injury. Although the simulated Head Injured groups did not differ significantly from one another, both groups endorsed more symptoms than the Base Rate group, suggesting that the instruments are vulnerable, to simulation. Base rates of head injury symptoms in the normal population, laypersons' knowledge about the sequelae of mild head injury, and implications of using symptom checklists in medicolegal evaluations were discussed, as was the desirability of replicating this study with noncollege student populations.
We describe the development and initial psychometric properties of a 24-item self-report measure, the University of Texas at San Antonio Future Disposition Inventory (UTSA FDI). This instrument is designed to evaluate future related thoughts and feelings that are associated with suicide-related risk behaviors: positive focus, suicide orientation, and negative focus. The items were generated by clinical and nonclinical samples. The structure of the instrument was defined in a sample of 350 university undergraduate students (Study 1). Using CFA, we confirmed the fit of the 3-factor solution in an independent sample of college age students (n=452; Study 2). Scale reliability estimates were good (all rho's>or=.80) in both studies. Known-groups validation analyses showed that scores on each scale were useful in differentiating the responses of the study groups. Correlates for the scales were identified when scores on measures of suicide-related risk and general psychological symptoms were included as validation self-report instruments.
This manuscript describes the development and preliminary psychometric properties of a 28-item self-report instrument, the Body Influence Assessment Inventory (BIAI). The BIAI taps four dimensions of bodily experiences in the eating disorders area that are linked with suicide-related behaviors. Following the four phases of instrument development, four studies were conducted to examine the psychometric properties of the BIAI. In Study 1 (n = 510 nonclinical participants), exploratory factor analysis identified four factors with item-factor compositions ranging from .30 to .88. In Study 2 (n = 490 nonclinical participants), the four-factor oblique solution provided the best fit to the sample data: Comparative fit index of .95, Tucker-Lewis Index of .93, and root-mean-square error of approximation value of .05. In Study 3 (psychiatric inpatients), estimates of test-retest reliability across a four-week interval (n = 46) ranged from .80 to .89, and estimates of criterion-related validity were strong. In Study 4, Cronbach alpha estimates ranged from .81 to .90 for the BIAI scales. Results provided additional evidence of known-groups and concurrent validity estimates for the BIAI scales. The results suggest that the BIAI has good preliminary psychometric properties.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.