The Psychometric Evaluation of a Personality Selection Tool

Personality is one of the primary ways that people are distinguished from one another on the basis of their unique tendencies and behavioral patterns. Decades of empirical research have yielded five primary personality traits which have consistently emerged, becoming known as the Five Factor Model (FFM). In particular, the FFM has been widely used in the employee selection realm. However, there have been mixed reviews as to how well the FFM of personality accomplishes that objective, with some research drawing into question the strength of the relationship between personality and job performance. The purpose of the current investigation is to address these gaps by exploring how a unique personality instrument, developed for commercial applications, may add value for predicting job performance. Archival and anonymous data was collected from the Company for the purpose of investigating the psychometric properties of the proprietary personality selection instrument. The study employed two sets of data, one was a random sample of 10,000 cases for conducting factor analytics and the other was a data set of 1,986 matched cases for investigating reliability. Hypotheses were tested using multiple statistical techniques, such as confirmatory factor analysis (CFA), exploratory factor analysis (EFA), test-retest reliability, Cronbach’s alpha, and Pearson correlations. Results indicated that the proposed factor structure of the Personality Instrument in which the 15 narrow facets are represented by three broad factors could not be supported (χ2 [3897] = 94548.14, p \u3c .001; GFI = .704; CFI = .433; RMSEA = .048) through CFA. Multiple alternative models were also tested, such as a single-factor model of personality (χ2 [3900] = 96837.26, p \u3c .001; GFI = .694; CFI = .418; RMSEA = .049), the theoretical model poor (χ2 [3910] = 102,525.28, p \u3c .001; GFI = .692; CFI = .383; RMSEA = .050), and also a multitrait multimethod approach (χ2 [3710] = 56336.08, p \u3c .001; GFI = .863; CFI = .671; RMSEA = .038), each of which fell short of showing even moderate model fit to the data. The results of the test-retest reliability analyses showed statistically significant positive relationships between Time 1 and Time 2 Personality Instrument scores (r (905) = .79, p \u3c .01), when administered between 0 and 12 weeks apart, and thus supporting the stability of the Personality Instrument. Compared to test- retest reliability coefficients when taken between 0 and 12 weeks, the test-retest reliability for cases in which the Personality Instrument was taken between 13 weeks and 52 weeks was still statistically significant and positive (r (480) = .67, p \u3c .01), yet a smaller positive relationship as presumed. Test-retest reliability proved to be a better estimate of stability compared to Cronbach’s alpha, which ranged from as low as .05 for Tolerance for Ambiguity to as high as .58 for Affiliative. Lastly, the results investigating as to whether contextualized items within the same substantive facet correlate more so with each other than do generically-worded items

Therapist and client discussions of drinking and coping: a sequential analysis of therapy dialogues in three evidence-based alcohol use disorder treatments.

Research into the active ingredients of behavioral interventions for alcohol use disorders (AUD) has focused upon treatment-specific factors, often yielding disappointing results. The present study examines common factors of change in motivational enhancement therapy, cognitive-behavioral therapy and 12-Step facilitation therapy by (1) estimating transitional probabilities between therapist behaviors and subsequent client Change (CT) and Sustain (ST) Talk and (2) examining therapist skillfulness as a potential predictor of transition probability magnitude. Secondary data analysis examined temporal associations in therapy dialogues. United States: data were from Project MATCH (Matching Alcoholism Treatments to Client Homogeneity) (1997). One hundred and twenty-six participants who received motivational enhancement therapy, cognitive-behavioral therapy or 12-Step facilitation therapy. Therapist behaviors were measured in three categories (exploring, teaching, connecting) and client statements included five categories (CT-distal, ST-distal, CT-proximal, ST-proximal, neutral). Therapist skillfulness was measured using a five-point ordinal scale. Relative to chance, therapist exploratory behaviors predicted subsequent client discussion of distal, drinking behavior [odds ratio (OR) = 1.37-1.78, P < 0.001] while suppressing discussion of proximal coping and neutral content (OR = 0.83-0.90, P < 0.01). Unexpectedly, therapist teaching suppressed distal drinking language (OR = 0.48-0.53, P < 0.001) and predicted neutral content (OR = 1.45, P < 0.001). Connecting behaviors increased both drinking and coping language, particularly language in favor of change (CT OR = 1.15-1.84, P < 0.001). Analyses of exploring and connecting skillfulness revealed that high skillfulness maximized these behaviors effect on client responses, but not teaching skillfulness. In motivational enhancement therapy, cognitive-behavioral therapy, and 12-Step facilitation therapy for alcohol use disorders, the therapists who explore and connect with clients appear to be more successful at eliciting discussion about change than therapists who engage in teaching behavior. Therapists who are more skilled achieve better results than those who are less skilled

A gene regulatory network armature for T lymphocyte specification

Choice of a T lymphoid fate by hematopoietic progenitor cells depends on sustained Notch–Delta signaling combined with tightly regulated activities of multiple transcription factors. To dissect the regulatory network connections that mediate this process, we have used high-resolution analysis of regulatory gene expression trajectories from the beginning to the end of specification, tests of the short-term Notch dependence of these gene expression changes, and analyses of the effects of overexpression of two essential transcription factors, namely PU.1 and GATA-3. Quantitative expression measurements of >50 transcription factor and marker genes have been used to derive the principal components of regulatory change through which T cell precursors progress from primitive multipotency to T lineage commitment. Our analyses reveal separate contributions of Notch signaling, GATA-3 activity, and down-regulation of PU.1. Using BioTapestry (www.BioTapestry.org), the results have been assembled into a draft gene regulatory network for the specification of T cell precursors and the choice of T as opposed to myeloid/dendritic or mast-cell fates. This network also accommodates effects of E proteins and mutual repression circuits of Gfi1 against Egr-2 and of TCF-1 against PU.1 as proposed elsewhere, but requires additional functions that remain unidentified. Distinctive features of this network structure include the intense dose dependence of GATA-3 effects, the gene-specific modulation of PU.1 activity based on Notch activity, the lack of direct opposition between PU.1 and GATA-3, and the need for a distinct, late-acting repressive function or functions to extinguish stem and progenitor-derived regulatory gene expression

Genomic characterization of Gli-activator targets in sonic hedgehog-mediated neural patterning

Sonic hedgehog (Shh) acts as a morphogen to mediate the specification of distinct cell identities in the ventral neural tube through a Gli-mediated (Gli1-3) transcriptional network. Identifying Gli targets in a systematic fashion is central to the understanding of the action of Shh. We examined this issue in differentiating neural progenitors in mouse. An epitope-tagged Gli-activator protein was used to directly isolate cis-regulatory sequences by chromatin immunoprecipitation (ChIP). ChIP products were then used to screen custom genomic tiling arrays of putative Hedgehog (Hh) targets predicted from transcriptional profiling studies, surveying 50-150 kb of non-transcribed sequence for each candidate. In addition to identifying expected Gli-target sites, the data predicted a number of unreported direct targets of Shh action. Transgenic analysis of binding regions in Nkx2.2, Nkx2.1 (Titf1) and Rab34 established these as direct Hh targets. These data also facilitated the generation of an algorithm that improved in silico predictions of Hh target genes. Together, these approaches provide significant new insights into both tissue-specific and general transcriptional targets in a crucial Shh-mediated patterning process

Change Talk During Brief Motivational Intervention With Young Adult Males: Strength Matters.

Client change talk (CT) during motivational interviewing (MI) has been described as a predictor of change in alcohol use. We examined the predictive validity of different strength levels of CT within a brief MI session for 174 young men from the general population screened as hazardous drinkers. CT was measured using the MI Skill Code (MISC 2.1) and categorized with positive (toward change) and negative (against change) valence and 3 strength levels (1=low, 2=medium, 3=high). Analyses included linear regression models predicting drinking at 3-month follow-up, while controlling for baseline drinking. Frequency of overall negative CT (i.e., sum of -1, -2, -3) significantly predicted poorer drinking outcomes. In a multivariate model entering frequency of CT utterances at each level of strength (i.e. +1, +2, +3, -1, -2, -3), the directionality of negative strength ratings was consistently in the expected direction, but only CT-2 was statistically significant. In contrast, overall CT positive (i.e., sum of +1, +2, +3) was not a significant predictor of less alcohol use, but the multivariate model showed that the presence of CT+3 significantly predicted less drinking at 3-month follow-up. Averaged strength summary score (i.e. on the scale from -3 to +3) was a significant predictor of better outcome, while percent positive CT was not. Moderation analyses showed that young men with lower baseline readiness to change or lower alcohol problem severity had higher follow-up drinking when they expressed more CT+1 or CT+2, while the opposite pattern was observed with those reporting higher baseline readiness to change or higher alcohol problem severity. Mixed findings for varying levels of positive CT strength might explain previous studies showing poor predictive validity of positive client language in MI. Together with other studies in similar settings, these findings suggest the importance of advanced MI techniques to shape client language to soften negative change talk (also known as sustain talk) and elicit positive CT verbalized with high intensity

A curated online resource for SOX10 and pigment cell molecular genetic pathways

We describe the creation of a specialized web-accessible database named the Pigment Cell Gene Resource, which contains information on the genetic pathways that regulate pigment cell development and function. This manually curated database is comprised of two sections, an annotated literature section and an interactive transcriptional network diagram. Initially, this database focuses on the transcription factor SOX10, which has essential roles in pigment cell development and function, but the database has been designed with the capacity to expand in the future, allowing inclusion of many more pigmentation genes

Systematic comparison of sea urchin and sea star developmental gene regulatory networks explains how novelty is incorporated in early development.

The extensive array of morphological diversity among animal taxa represents the product of millions of years of evolution. Morphology is the output of development, therefore phenotypic evolution arises from changes to the topology of the gene regulatory networks (GRNs) that control the highly coordinated process of embryogenesis. A particular challenge in understanding the origins of animal diversity lies in determining how GRNs incorporate novelty while preserving the overall stability of the network, and hence, embryonic viability. Here we assemble a comprehensive GRN for endomesoderm specification in the sea star from zygote through gastrulation that corresponds to the GRN for sea urchin development of equivalent territories and stages. Comparison of the GRNs identifies how novelty is incorporated in early development. We show how the GRN is resilient to the introduction of a transcription factor, pmar1, the inclusion of which leads to a switch between two stable modes of Delta-Notch signaling. Signaling pathways can function in multiple modes and we propose that GRN changes that lead to switches between modes may be a common evolutionary mechanism for changes in embryogenesis. Our data additionally proposes a model in which evolutionarily conserved network motifs, or kernels, may function throughout development to stabilize these signaling transitions

A perturbation model of the gene regulatory network for oral and aboral ectoderm specification in the sea urchin embryo

The current gene regulatory network (GRN) for the sea urchin embryo pertains to pregastrular specification functions in the endomesodermal territories. Here we extend gene regulatory network analysis to the adjacent oral and aboral ectoderm territories over the same period. A large fraction of the regulatory genes predicted by the sea urchin genome project and shown in ancillary studies to be expressed in either oral or aboral ectoderm by 24 h are included, though universally expressed and pan-ectodermal regulatory genes are in general not. The loci of expression of these genes have been determined by whole mount in situ hybridization. We have carried out a global perturbation analysis in which expression of each gene was interrupted by introduction of morpholino antisense oligonucleotide, and the effects on all other genes were measured quantitatively, both by QPCR and by a new instrumental technology (NanoString Technologies nCounter Analysis System). At its current stage the network model, built in BioTapestry, includes 22 genes encoding transcription factors, 4 genes encoding known signaling ligands, and 3 genes that are yet unknown but are predicted to perform specific roles. Evidence emerged from the analysis pointing to distinctive subcircuit features observed earlier in other parts of the GRN, including a double negative transcriptional regulatory gate, and dynamic state lockdowns by feedback interactions. While much of the regulatory apparatus is downstream of Nodal signaling, as expected from previous observations, there are also cohorts of independently activated oral and aboral ectoderm regulatory genes, and we predict yet unidentified signaling interactions between oral and aboral territories

Should the Psychiatrist Be Hospitalized?

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/68096/2/10.1177_002076407502100212.pd

Visualization, documentation, analysis, and communication of large-scale gene regulatory networks

Genetic regulatory networks (GRNs) are complex, large-scale, and spatially and temporally distributed. These characteristics impose challenging demands on software tools for building GRN models, and so there is a need for custom tools. In this paper, we report on our ongoing development of BioTapestry, an open source, freely available computational tool designed specifically for building GRN models. We also outline our future development plans, and give some examples of current applications of BioTapestry