Characterization and Prediction of Sexual and Nonsexual Recidivism Among Adjudicated Juvenile Sex Offenders

Estimating the risk of sexual recidivism for a juvenile sex offender is essential in order to protect public safety by identifying and evaluating high risk adolescents and to ensure the rights and welfare of juvenile offenders who will not likely reoffend. Empirically validated risk assessment methods are needed to aid in the classification and treatment of juvenile sex offenders. The present study utilized a dataset collected by Maricopa County, AZ, and aggregated by the National Juvenile Court Data Archive. The purpose of the study was to evaluate and characterize risk factors for juveniles who have been charged with a sexual offense in order to determine the predictive utility of these factors for subsequent offending, as well as offense trajectory, and to evaluate risk factors for nonsexual offenders who have committed crimes of various severities. The results of the present study show the strongest individual predictors of sexual recidivism to be prior nonsexual offending, prior sexual offending, hands‐off offending, offending against a child, younger school grade/age at time of initial offense, Asian or Hispanic ethnicity, and not attending school. A preliminary screening measure was developed from the seven positive risk factors, and ROC analysis produced an AUC indicating moderate predictive utility in discriminating between juvenile sex offenders who would sexually reoffend and those who would not. Copyright © 2013 John Wiley & Sons, Ltd.     

Looking in the wrong direction correlates with more accurate word learning

Previous research on lexical development has aimed to identify the factors that enable accurate initial word-referent mappings based on the assumption that the accuracy of initial word-referent associations is critical for word learning. The present study challenges this assumption. Adult English speakers learned an artificial language within a cross-situational learning paradigm. Visual fixation data were used to assess the direction of visual attention. Participants whose longest fixations in the initial trials fell more often on distracter images performed significantly better at test than participants whose longest fixations fell more often on referent images. Thus, inaccurate initial word-referent mappings may actually benefit learning.     

Toward a better understanding of the effects of hindrance and challenge stressors on work behavior

This study investigated the processes whereby hindrance and challenge stressors may affect work behavior. Three mechanisms were examined to explain the differential effects these stressors have demonstrated: job satisfaction, strains, and work self-efficacy. A model is proposed in which both types of stressors will result in increases in strains, but that job satisfaction is primarily involved in the relationship between hindrance stressors and citizenship behavior, and efficacy is involved in the relationship between challenge stressors and job performance. Although the results generally supported the dual-stressor framework showing meaningful relationships to the work outcomes through the proposed processes, the link between work self-efficacy and job performance was not significant. This model was analyzed using multi-source data collected from 143 employees from a variety of organizational settings. Implications for the conceptualization of stressors and the development of interventions are discussed.     

Correcting Personality Tests for Faking: A Review of Popular Personality Tests and an Initial Survey of Researchers

We reviewed a number of personality tests that are commonly used for personnel selection and found that some of the more popular tests provide a “correction” for faking. Additionally, a survey of researchers' preferences regarding correcting personality test scores for faking was conducted. The respondents, who were experienced in using personality tests for industrial‐organizational purposes, generally favored the use of faking corrections (69% were in favor). The apparently common practice of correcting personality scores for faking was contrasted with relevant conceptual, empirical, and statistical concerns as to the advisability of applying the correction for faking.     

Social intelligence and interview accuracy: Individual differences in the ability to construct interviews and rate accurately

This research examined differences in interviewers’ ability to identify effective interview questions and to accurately rate interviewees’ responses. Given the theoretical association between these interview activities and the construct of social intelligence (SI), a performance‐based measure of SI was developed utilizing situational judgment test methodology. The initial step was to examine evidence of the psychometric properties and construct validity of the new SI measure. The SI measure, a test of general mental ability (GMA), and a personality inventory were then used to examine aspects of rater performance. Participants chose a set of interview questions and viewed interviewee responses during a videotaped interview. Results showed that people higher in SI and GMA chose interview questions judged by experts to be superior and were more accurate in rating interviewee responses. The SI measure explained variance beyond GMA and outperformed a trait‐based SI measure. Implications for the selection and training of interviewers are discussed.     

Stress changes the representational landscape: evidence from word segmentation

Over the past couple of decades, research has established that infants are sensitive to the predominant stress pattern of their native language. However, the degree to which the stress pattern shapes infants' language development has yet to be fully determined. Whether stress is merely a cue to help organize the patterns of speech or whether it is an important part of the representation of speech sound sequences has still to be explored. Building on research in the areas of infant speech perception and segmentation, we asked how several months of exposure to the target language shapes infants' speech processing biases with respect to lexical stress. We hypothesize that infants represent stressed and unstressed syllables differently, and employed analyses of child-directed speech to show how this change to the representational landscape results in better distribution-based word segmentation as well as an advantage for stress-initial syllable sequences. A series of experiments then tested 9- and 7-month-old infants on their ability to use lexical stress without any other cues present to parse sequences from an artificial language. We found that infants adopted a stress-initial syllable strategy and that they appear to encode stress information as part of their proto-lexical representations. Together, the results of these studies suggest that stress information in the ambient language not only shapes how statistics are calculated over the speech input, but that it is also encoded in the representations of parsed speech sequences.     

Statistical learning within and between modalities: pitting abstract against stimulus-specific representations

When learners encode sequential patterns and generalize their knowledge to novel instances, are they relying on abstract or stimulus-specific representations? Research on artificial grammar learning (AGL) has shown transfer of learning from one stimulus set to another, and such findings have encouraged the view that statistical learning is mediated by abstract representations that are independent of the sense modality or perceptual features of the stimuli. Using a novel modification of the standard AGL paradigm, we obtained data to the contrary. These experiments pitted abstract processing against stimulus-specific learning. The findings show that statistical learning results in knowledge that is stimulus-specific rather than abstract. They show furthermore that learning can proceed in parallel for multiple input streams along separate perceptual dimensions or sense modalities. We conclude that learning sequential structure and generalizing to novel stimuli inherently involve learning mechanisms that are closely tied to the perceptual characteristics of the input.     

Effects of chronic non-clinical depression on the use of positive and negative words in language contexts

The purpose of this study was to investigate the effects of chronic non-clinical depression (ChD) on the use of ambiguous and unambiguous emotional words in language contexts. Participants with ChD and normal non-depressed (ND) participants' responses to positive and negative stimulus words on a free association word test were compared using the Hyperspace Analogue to Language (HAL) model of memory's context density metric, a measure of the range of contexts in which a word is used in language. ChD participants generated negative words that were used in more restricted contexts than ND participants. However, ND and ChD participants used positive words in a similar range of contexts. The results suggest that people with ChD tend to use negative words that are probably more negative in connotation, yet they are not impaired with respect to using words in contexts where positive words are required.     

On the usefulness of measures of normal personality for clinical assessment: evidence of the incremental validity of the Revised NEO Personality Inventory

As a means of examining the incremental validity of a normal personality measure in the prediction of selected Axis I and II diagnoses, 1,342 inpatient substance abusers completed the Revised NEO Personality Inventory (NEO-PI-R) and the Minnesota Multiphasic Personality Inventory--2 (MMPI-2) and were assessed with structured clinical interviews to determine diagnostic status. Results demonstrated that scores from the NEO-PI-R (a) were substantially related to the majority of diagnoses, accounting for between 8% and 26% of the variance in the diagnostic criteria; (b) explained an additional 3% to 8% of the variability beyond 28 selected MMPI-2 scale scores; (c) increased diagnostic classification an additional 7% to 23% beyond MMPI-2 scale scores; and (d) were significantly more useful when examined at the facet trait level than at the domain trait level. Implications for incorporating measures of normal personality into clinical assessment batteries are discussed.