The Effect of CS Administration or an R-Optimized Alternative on R–PAS Variables: A Meta-Analysis of Findings From Six Studies

Controlling the number of Rorschach responses (R) as a method to reduce variability in the length of records has stimulated controversy among researchers for many years. Recently, the Rorschach Performance Assessment System (R–PAS; Meyer, Viglione, Mihura, Erard, &; Erdberg, 2011 Meyer, G. J., Viglione, D. J., Mihura, J. L., Erard, R. E., &; Erdberg, P. (2011). Rorschach Performance Assessment System: Administration, coding, interpretation, and technical manual. Toledo, OH: Rorschach Performance Assessment System. [Google Scholar]) introduced an R-Optimized method to reduce variability in R. Using 4 published and 2 previously unpublished studies (N = 713), we examine the extent to which 51 Comprehensive System–based scores on the R–PAS profile pages are affected as a result of receiving Comprehensive System (CS; Exner, 2003 Exner, J. E. (2003). The Rorschach: A Comprehensive System. Vol. 1. Basic foundations (4th ed.). Hoboken, NJ: Wiley. [Google Scholar]) administration versus a version of R-Optimized administration. As hypothesized, R—the intended target of R-Optimized administration—showed reliable weighted average differences across each method of administration. As expected, its mean modestly increased and its standard deviation notably decreased. Also as hypothesized, the next largest effects were decreases in the variability (SD) of 2 variables directly related to R, R8910% and Complexity. No other reliable differences were observed. Therefore, because R-Optimized administration does not notably modify the existing CS-based normative values for other profiled R–PAS variables, the data do not support concerns that R-Optimized administration notably modifies the Rorschach task or that existing CS research data would not generalize to R–PAS. However, because R-Optimized administration reduces variability in R, it allows a single set of norms to apply readily to more people.     

How Do Artificial Neural Networks Classify Musical Triads? A Case Study in Eluding Bonini's Paradox

How might artificial neural networks (ANNs) inform cognitive science? Often cognitive scientists use ANNs but do not examine their internal structures. In this paper, we use ANNs to explore how cognition might represent musical properties. We train ANNs to classify musical chords, and we interpret network structure to determine what representations ANNs discover and use. We find connection weights between input units and hidden units can be described using Fourier phase spaces, a representation studied in musical set theory. We find the total signal coming through these weighted connection weights is a measure of the similarity between two Fourier structures: the structure of the hidden unit's weights and the structure of the stimulus. This is surprising because neither of these Fourier structures is computed by the hidden unit. We then show how output units use such similarity measures to classify chords. However, we also find different types of units—units that use different activation functions—use this similarity measure very differently. This result, combined with other findings, indicates that while our networks are related to the Fourier analysis of musical sets, they do not perform Fourier analyses of the kind usually described in musical set theory. Our results show Fourier representations of music are not limited to musical set theory. Our results also suggest how cognitive psychologists might explore Fourier representations in musical cognition. Critically, such theoretical and empirical implications require researchers to understand how network structure converts stimuli into responses.     

Reading Motivation in Spanish-Speaking Dual Language Learners: Comparing Two Types of Student Report

Abstract

Employing a mixed methods approach, this study examined the reading motivations of dual language learners (DLLs) in Grades 3–5 in a suburban Title I school in which the student population was predominantly Hispanic. Twenty-one students completed self-report surveys and participated in interviews focused on two intrinsic motivations (involvement and curiosity), two extrinsic motivations (competition and recognition), and self-efficacy for reading. Quantitative analyses of the survey and interview data were consistent in indicating that the students experienced these motivations to a moderate to strong degree, with the exception that interview-based scores for competition were fairly low, in comparison to both the interview-based scores for the other motivations and the survey-based score for competition. Correlations between scores on the survey and interview measures for each construct varied. Qualitative analyses illustrated the depth and variety of students’ thinking about their reading motivations, and provided insight into studying and strengthening students’ reading motivation in ways that may be particularly relevant for DLLs.     

Personnel selection in the digital age: a review of validity and applicant reactions,and future research challenges

ABSTRACT

We present a targeted review of recent developments and advances in digital selection procedures (DSPs) with particular attention to advances in internet-based techniques. By reviewing the emergence of DSPs in selection research and practice, we highlight five main categories of methods (online applications, online psychometric testing, digital interviews, gamified assessment and social media). We discuss the evidence base for each of these DSP groups, focusing on construct and criterion validity, and applicant reactions to their use in organizations. Based on the findings of our review, we present a critique of the evidence base for DSPs in industrial, work and organizational psychology and set out an agenda for advancing research. We identify pressing gaps in our understanding of DSPs, and ten key questions to be answered. Given that DSPs are likely to depart further from traditional non-digital selection procedures in the future, a theme in this agenda is the need to establish a distinct and specific literature on DSPs, and to do so at a pace that reflects the speed of the underlying technological advancement. In concluding, we, therefore, issue a call to action for selection researchers in work and organizational psychology to commence a new and rigorous multidisciplinary programme of scientific study of DSPs.