Towards a unified model of aesthetic pleasure in design

In this study we test the Unified Model of Aesthetics (Hekkert, 2014), which posits that the aesthetic sense has evolved to identify and value prospects for safety and accomplishment. The principles of unity-in-variety, most-advanced-yet-acceptable and autonomous-yet-connected are considered manifestations of these conflicting urges at separate levels of stimulus processing. We empirically integrate these principles to gauge their unique contribution to the aesthetic experience, using two distinct surveys (study 1–300 respondents and 20 stimuli, study 2–60 respondents and 24 stimuli). Both surveys confirm the three principles constituting the Unified Model of Aesthetics. The principles are found to operate independently and jointly, although unity-in-variety has the strongest impact on aesthetic pleasure.     

The Match Between Recruiters’ Perceptions of Organizational Climate and Personality of the Ideal Applicant for a Management Position

The relationship between recruiters’ perception of the ideal applicant for a managerial position and their perception of organizational climate was examined in real selection procedures. Recruiters (n = 124) from 83 organizations in three sectors of industry participated in this study. They assessed the ideal applicant for the vacant managerial position with personality attributes derived from the Abridged Big Five Circumplex (Hofstee et al. 1992). Furthermore, they described the existing organizational climate with 14 climate scales based on the Competing Values framework of Quinn (1988). Results indicate that recruiters’ perceptions of goal oriented climate dimensions are related to the sector of industry. These perceptions influence the way in which recruiters perceive the ideal manager regarding conscientiousness and compliance. Recruiters’ perceptions concerning other dimensions of organizational climate are not related to the sector of industry and the personality profile of the ideal manager. Homogeneity of personality in organizations will exist for only some personality attributes.     

When worlds collide: Engineering students encounter social aspects of production

To design effective and socially sensitive systems, engineers must be able to integrate a technology-based approach to engineering problems with concerns for social impact and the context of use. The conventional approach to engineering education is largely technology-based, and even when additional courses with a social orientation are added, engineering graduates are often not well prepared to design user- and context-sensitive systems. Using data from interviews with three engineering students who had significant exposure to a socially-oriented perspective on production systems design, this paper argues that engineering students may have difficulty integrating in their own practice the technology-based and the socially-oriented perspectives on production. To enhance engineering students' ability to create systems that integrate both perspectives, and to relieve the intense cognitive and emotional pain that can be experienced by students exposed to both perspectives but unable to reconcile them, this paper reinforces the importance of teaching students the meta skill, design. A design perspective can help students integrate varied, sometimes conflicting, perspectives, and reach beyond customer-defined constraints to consider workplace and social impact.     

The pitch of “real” and “rhetorical” questions directed by a father to his daughter: A longitudinal case study

A longitudinal study of a father and his daughter examined pitch-variation of “real” and “rhetorical” questions. Although the father asked “real” and “rhetorical” questions from the start of the recordings, he did not distinguish them through differential pitch height until the baby was 15 months old.     

Exploring changes during life and career design dialogues

This article describes the processes of change that occur during career counseling based on the ‘making oneself self’ model (Guichard, 2008; Guichard, 2009). This counseling intervention process forms part of the more general paradigm of life designing (Savickas et al., 2009). The main goal for this counseling is fostering “reflexivity” of individuals with regard to their investment in their various spheres of life. Three career counseling interviews were conducted using both methods of dialogues for life and career design dialogues (LCDD) and self-confrontation (Larsen, Flesaker, & Foundation, 2008; Valach, Michel, Dey, & Young, 2002). Each interview is described with a focus on the changes perceived by the interviewees in relation to their initial reason for consulting as well as on their dialogues with the counselor, who facilitated these changes and provided support for them. The analysis of the dialogues suggests the existence of a three-step evolution supporting the changes. On the basis of these data, the discussion examines the reflexive approach in its theoretical, methodological and practical dimensions.     

Symposium Introduction: Reflexivity in Life Designing Interventions

This article introduces the Symposium on Reflexivity in Life Design Interventions. Eight articles report studies of counseling processes and client operations during life design interventions as well as client feedback during subsequent Interpersonal Process Recall interviews. The Symposium concludes with comments on and discussion of the studies.     

Reflection and reflexivity during life-design interventions: Comments on Career Construction Counseling

The 8 articles in the Symposium advanced understanding of “Reflexivity in Life-Design Interventions”. This discussion highlights distinctions between reflection and reflexivity, as well as their relation to first-order and second-order change. Then the contributions of the Symposium authors are organized using four phases of narrative counseling: symbolic representation, reflective self-examination, reflexive new realizations, and revisioning career identity. The discussion concludes by organizing the diverse terms the authors used to name these four phases into a uniform format.     

Within‐subject analysis of a prevention strategy for problem behavior

Although decades of research on functional analysis methodology have identified common contingencies that maintain problem behavior and effective interventions, relatively little research has been conducted on strategies to prevent the initial development of problem behavior. We conducted a 2‐part case study, the purposes of which were to illustrate the use of sensitivity tests as the bases for intervention (Study 1) and subsequently to assess the efficacy of a prevention strategy using a single‐subject design (Study 2). Results showed that the sensitivity tests identified establishing operations that may set the occasion for the development of problem behavior and that interventions based on differential reinforcement prevented increases in the severity of problem behavior relative to untreated and control baselines. Benefits and limitations to this individualized approach to prevention are discussed.     

Estimation of the Coefficient of Variation with Minimum Risk: A Sequential Method for Minimizing Sampling Error and Study Cost

The coefficient of variation is an effect size measure with many potential uses in psychology and related disciplines. We propose a general theory for a sequential estimation of the population coefficient of variation that considers both the sampling error and the study cost, importantly without specific distributional assumptions. Fixed sample size planning methods, commonly used in psychology and related fields, cannot simultaneously minimize both the sampling error and the study cost. The sequential procedure we develop is the first sequential sampling procedure developed for estimating the coefficient of variation. We first present a method of planning a pilot sample size after the research goals are specified by the researcher. Then, after collecting a sample size as large as the estimated pilot sample size, a check is performed to assess whether the conditions necessary to stop the data collection have been satisfied. If not an additional observation is collected and the check is performed again. This process continues, sequentially, until a stopping rule involving a risk function is satisfied. Our method ensures that the sampling error and the study costs are considered simultaneously so that the cost is not higher than necessary for the tolerable sampling error. We also demonstrate a variety of properties of the distribution of the final sample size for five different distributions under a variety of conditions with a Monte Carlo simulation study. In addition, we provide freely available functions via the MBESS package in R to implement the methods discussed.