Choosing how to choose : Institutional pressures affecting the adoption of personnel selection procedures

The gap between science and practice in personnel selection is an ongoing concern of human resource management. This paper takes Oliver´s framework of organizations´ strategic responses to institutional pressures as a basis for outlining the diverse economic and social demands that facilitate or inhibit the application of scientifically recommended selection procedures. Faced with a complex network of multiple requirements, practitioners make more diverse choices in response to any of these pressures than has previously been acknowledged in the scientific literature. Implications for the science-practitioner gap are discussed

Applicant versus employee scores on self-report emotional intelligence measures

There exists growing interest to assess applicants' emotional intelligence (EI) via self-report trait-based measures of EI as part of the selection process. However, some studies that experimentally manipulated applicant conditions have cautioned that in these conditions use of self-report measures for assessing EI might lead to considerably higher scores than current norm scores suggest. So far, no studies have scrutinized self-reported EI scores among a sample of actual job applicants. Therefore, this study compares the scores of actual applicants at a large ICT organization (n = 109) on a well-known self-report measure of EI to the scores of employees already working in the organization (n = 239). The current study is the first to show that applicants' scores on a self-report measure of EI during the selection process are indeed higher (d = 1.12) and have less variance (SD ratio = 0.86/1) than incumbents' scores. Finally, a meta-analytic combination of our results with those of earlier research showed that a score increase of about 1 SD in applicant conditions seems to be the rule, regardless of the type of setting, self-report EI measure, and within-versus between-subjects design employed

Liar, Liar, Pants on Fire: How Verbal Deception Cues Signal Deceptive Versus Honest Impression Management and Influence Interview Ratings

Impression management (IM), especially deceptive IM (faking), is a cause for concern in selection interviews. The current study combines findings on lie detection with signaling theory to address how candidates’ deceptive versus honest IM shows in verbal deception cues, which then relate to interview ratings of candidates’ interview performance. After completing a structured interview rated by two trained interviewers, 182 candidates reported their deceptive and honest IM. Verbal deception cues (plausibility, verbal uncertainty) were coded from video recordings. Results supported the hypotheses: Deceptive IM directly raised interviewer ratings (intended positive signal) but lowered the responses’ plausibility and enhanced verbal uncertainties (unintended negative signals). Honest IM raised responses’ plausibility. Plausibility related positively to interviewer ratings (receiver reaction), thus accounting for a negative indirect effect of deceptive IM and a positive indirect effect of honest IM on interviewer ratings. This study contributes to theory and practice regarding faking detection in employment interviews

Effect of nonuniform hole-content distribution within the interlayer pair-tunneling mechanism of layered HTSC

The interlayer pair-tunneling (ILT) mechanism for high-$T_c$ superconductivity is able to predict the dependence of the (optimal) critical temperature Tc on the number of layers n within an homologous series of layered cuprate oxides. We generalize the mean-field procedure employed to evaluate Tc within an extended in-plane Hubbard model in presence of ILT, developed for a bilayer complex (n = 2), to the case of n = 3, 4 inequivalent superconducting layers. As a function of doping, we show how a nonuniform hole-content distribution among different layers affects Tc. In particular, depending on doping, the onset of superconductivity may be ruled by inner or outer layers. The latter result may be related to recent experimental data of Tc as a function of pressure in Tl- and Bi-based layered superconductors

A New Scoring Procedure in Assessment Centers: Insights from Interaction Analysis

This paper proposes interaction analysis as an alternative scoring procedure in assessment centers (ACs). Interaction analysis allows for a more fine-grained scoring approach by which candidate behaviors are captured as they actually happen, thus avoiding judgment errors typically associated with traditional scoring procedures. We describe interaction analysis and explain how this procedure can improve the validity of ACs. In a short research example, we showcase how interaction analysis can be implemented in AC settings. Finally, we integrate our arguments in terms of three key propositions which we hope will inspire future research on more dynamic scoring procedures

Comparison of the normal state properties of κ\kappa-(BEDT-TTF)2_2Cu(NCS)2_2 and its deuterated analogue in high magnetic fields and under high hydrostatic pressures

Details of the Fermi-surface topology of deuterated $\kappa$-(BEDT-TTF)$_2$Cu(NCS)$_2$ ~have been measured as a function of pressure, and compared with equivalent measurements of the undeuterated salt. We find that the superconducting transition temperature is much more dramatically suppressed by increasing pressure in the deuterated salt. It is suggested that this is linked to pressure-induced changes in the Fermi-surface topology, which occur more rapidly in the deuterated salt than in the undeuterated salt as the pressure is raised. Our data suggest that the negative isotope effect observed on deuteration is due to small differences in Fermi-surface topology caused by the isotopic substitution.Comment: 10 pages 3 figure

A simple method for the Kramers-Kronig analysis of reflectance spectra measured with diamond anvil cell

When the optical reflectance spectrum of a sample under high pressure is studied with a diamond anvil cell, it is measured at a sample/diamond interface. Due to the large refractive index of diamond, the resulting reflectance Rd(w) may substantially differ from that measured in vacuum. To obtain optical constants from Rd(w), therefore, the usual Kramers-Kronig (KK) transform cannot be straightforwardly applied, and either a spectral fitting or a modified KK transform has been used. Here we describe an alternative method to perform KK analysis on Rd(w). This method relies on the usual KK transform with an appropriate cutoff and extrapolation to Rd(w), and may offer a simpler approach to obtain infrared conductivity from measured Rd(w).Comment: 6 pages, 2 figures, to appear in the Proceedings of 6th WIRMS Conference (J. Phys. Conf. Ser.