scholarly journals Assessing Personality–Situation Interplay in Personnel Selection: Toward More Integration into Personality Research

2017 ◽  
Vol 31 (5) ◽  
pp. 424-440 ◽  
Author(s):  
Filip Lievens ◽  
Wendy Johnson

Over the years, the personnel selection field has developed methods to assess trait expression in particular situations, but these approaches have evolved mostly outside the field of personality psychology. In this article, I review available personnel selection evidence regarding two such approaches: (i) situational judgement tests that present short scenarios and ask job candidates how they would handle the situations and (ii) assessment centre exercises requiring candidates to display behaviour in specified interactive situations. I describe these approaches and discuss their relations with personality research. I posit that adapting these approaches to personality research creates methodological diversity to address key research themes related to within–person variability, trait–behaviour links, personality disorders, and personality expression and perception. Copyright © 2017 European Association of Personality Psychology

2020 ◽  
Vol 34 (4) ◽  
pp. 492-510 ◽  
Author(s):  
Michael C. Ashton ◽  
Kibeom Lee

The six–dimensional HEXACO model of personality structure and its associated inventory have increasingly been used in personality research. But in spite of the evidence supporting this structure and demonstrating its advantages over five–dimensional models, some researchers continue to use and promote the latter. Although there has been little overt, organized argument against the adoption of the HEXACO model, we do hear sporadic offerings of reasons for retaining the five–dimensional systems, usually in informal conversations, in manuscript reviews, on social media platforms, and occasionally in published works. In this target article, we list all of the objections to the HEXACO model that we have heard of, and we then explain why each objection fails. © 2020 European Association of Personality Psychology


2018 ◽  
Vol 32 (3) ◽  
pp. 254-268 ◽  
Author(s):  
Giulio Costantini ◽  
Marco Perugini

Causal explanations in personality require conceptual clarity about alternative causal conditions that could, even in principle, affect personality. These causal conditions crucially depend on the theoretical model of personality, each model constraining the possibility of planning and performing causal research in different ways. We discuss how some prominent models of personality allow for specific types of causal research and impede others. We then discuss causality from a network perspective, which sees personality as a phenomenon that emerges from a network of behaviours and environments over time. From a methodological perspective, we propose a three–step strategy to investigate causality: (1) identify a candidate target for manipulation (e.g. using network analysis), (2) identify and test a manipulation (e.g. using laboratory research), and (3) deliver the manipulation repeatedly for a congruous amount of time (e.g. using ecological momentary interventions) and evaluate its ability to generate trait change. We discuss how a part of these steps was implemented for trait conscientiousness and present a detailed plan for implementing the remaining steps. Copyright © 2018 European Association of Personality Psychology


2020 ◽  
Vol 34 (5) ◽  
pp. 632-648
Author(s):  
Leo Alexander ◽  
Evan Mulfinger ◽  
Frederick L. Oswald

This conceptual paper examines the promises and critical challenges posed by contemporary personality measurement using big data. More specifically, the paper provides (i) an introduction to the type of technologies that give rise to big data, (ii) an overview of how big data is used in personality research and how it might be used in the future, (iii) a framework for approaching big data in personality science, (iv) an exploration of ideas that connect psychometric reliability and validity, as well as principles of fairness and privacy, to measures of personality that use big data, (v) a discussion emphasizing the importance of collaboration with other disciplines for personality psychologists seeking to adopt big data methods, and finally, (vi) a list of practical considerations for researchers seeking to move forward with big data personality measurement and research. It is expected that this paper will provide insights, guidance, and inspiration that helps personality researchers navigate the challenges and opportunities posed by using big data methods in personality measurement. © 2020 European Association of Personality Psychology


2016 ◽  
Vol 30 (4) ◽  
pp. 292-303 ◽  
Author(s):  
René Mõttus

Much of personality research attempts to identify causal links between personality traits and various types of outcomes. I argue that causal interpretations require traits to be seen as existentially and holistically real and the associations to be independent of specific ways of operationalizing the traits. Among other things, this means that, to the extents that causality is to be ascribed to such holistic traits, items and facets of those traits should be similarly associated with specific outcomes, except for variability in the degrees to which they reflect the traits (i.e. factor loadings). I argue that, before drawing causal inferences about personality trait–outcome associations, the presence of this condition should be routinely tested by, for example, systematically comparing the outcome associations of individual items or facets, or sampling different indicators for measuring the same purported traits. Existing evidence suggests that observed associations between personality traits and outcomes at least sometimes depend on which particular items or facets have been included in trait operationalizations, calling trait–level causal interpretations into question. However, this has rarely been considered in the literature. I argue that when outcome associations are specific to facets, they should not be generalized to traits. Furthermore, when the associations are specific to particular items, they should not even be generalized to facets. Copyright © 2016 European Association of Personality Psychology


2015 ◽  
Vol 29 (6) ◽  
pp. 622-634 ◽  
Author(s):  
Uku Vainik ◽  
René Mõttus ◽  
Jüri Allik ◽  
Tõnu Esko ◽  
Anu Realo

In personality research, trait–outcome associations are often studied by correlating scale sum scores with an outcome. For example, an association between the NEO Impulsiveness scale and body mass index (BMI) is often interpreted to pertain to underlying trait Impulsiveness. We propose that this expectation can be corroborated by testing for Spearman's theorem of indifference of indicator. Namely, an underlying trait–outcome association should not depend on the specific items (i.e. indicators) used to measure the trait. To test this theorem, we outline an indicator exclusion procedure and demonstrate its viability using a simulation design. We then apply this procedure to test personality–BMI associations for indifference of indicator in a large population–based sample of adult Estonians (N = 2581) using self–ratings and informant ratings obtained with the NEO Personality Inventory–3. Our results show that the N5: Impulsiveness–BMI association mostly depends on two eating–related items, suggesting that the trait associated with BMI may be narrower than the trait the N5: Impulsiveness scale is supposed to measure. Associations between BMI, E3: Assertiveness and C2: Order seem to pertain to the trait. In sum, testing for indifference of indicator provides a potentially useful method to clarify trait–outcome relationships. R scripts are provided that implement the indicator exclusion procedure. Copyright © 2015 European Association of Personality Psychology


2020 ◽  
Vol 34 (5) ◽  
pp. 808-825
Author(s):  
Gabriela Gniewosz ◽  
Tuulia M. Ortner ◽  
Thomas Scherndl

Performance on achievement tests is characterized by an interplay of different individual attributes such as personality traits, motivation or cognitive styles. However, the prediction of individuals’ performance from classical self–report personality measures obtained during large and comprehensive aptitude assessments is biased by, for example, subjective response tendencies. This study goes beyond by using behavioural data based on two different types of tasks, requiring different conscientious–related response behaviours. Moreover, a typological approach is proposed, which includes different behavioural indicators to obtain information on complex personality characteristics. © 2020 The Authors. European Journal of Personality published by John Wiley & Sons Ltd on behalf of European Association of Personality Psychology


2016 ◽  
Vol 50 (6) ◽  
pp. 624-636 ◽  
Author(s):  
Filip Lievens ◽  
Fiona Patterson ◽  
Jan Corstjens ◽  
Stuart Martin ◽  
Sandra Nicholson

2019 ◽  
Vol 33 (1) ◽  
pp. 89-103 ◽  
Author(s):  
William H.B. McAuliffe ◽  
Daniel E. Forster ◽  
Eric J. Pedersen ◽  
Michael E. McCullough

The Dictator Game, a face valid measure of altruism, and the Trust Game, a face valid measure of trust and trustworthiness, are among the most widely used behavioural measures in human cooperation research. Researchers have observed considerable covariation among these and other economic games, leading them to assert that there exists a general human propensity to cooperate that varies in strength across individuals and manifests itself across a variety of social settings. To formalize this hypothesis, we created an S–1 bifactor model using 276 participants’ Dictator Game and Trust Game decisions. The general factor had significant, moderate associations with self–reported and peer–reported altruism, trust, and trustworthiness. Thus, the positive covariation among economic games is not reducible to the games’ shared situational features. Two hundred participants returned for a second session. The general factor based on Dictator Game and Trust Game decisions from this session did not significantly predict self–reported and peer–reported cooperation, suggesting that experience with economic games causes them to measure different traits from those that are reflected in self–assessments and peer–assessments of cooperativeness. © 2018 European Association of Personality Psychology


2021 ◽  
Author(s):  
Emorie D Beck

This is a show on the science of how people are different from one another, where these differences come from, how they develop, and why they matter. The podcast's hosts are Lisanne de Moor, René Mõttus, and Rebekka Weidmann, three personality researchers. It is a collaboration of the European Journal of Personality and the European Association of Personality Psychology (EAPP), and sponsored by EAPP. www.personalitypsychologypodcast.com. In this episode, we hear a presentation by Emorie Beck on her research on nomothetic and idiographic approaches to personality structure and change, couched in a historical perspective.


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