In comparison with personality taxonomic research, there has been much less advancement toward establishing an integrative taxonomy of psychological situation characteristics (similar to personality characteristics for persons). One of the main concerns has been the limited content coverage of the characteristics being used. To address this issue, we present a collection of 4 lexically based studies using the largest-to-date number of situation characteristics to identify the major dimensions of the psychological situation. These studies each implemented a unique sampling and analytic methodology-namely, a qualitative dimensional exploration; the factor analyses of 2, independent samples of large-scale in situ ratings of situations; and the use of lexical-vector representations from neural-network-based models derived from millions of sources of natural-language usage with a total of 146.7 billion words. Across these studies, a clear 7-dimensional structure emerged: Complexity, Adversity, Positive Valence, Typicality, Importance, Humor, and Negative Valence-collectively referred to as the "CAPTION" model, which parsimoniously integrates the diversity of dimensions found in the extant literature. We then introduce both full- and short-form measures of these CAPTION. Data from 2 additional diverse samples of native English speakers suggest that the measures have good psychometric properties, and are able to predict a broad range of important psychological outcomes (e.g., behaviors, affect, motivation, and need satisfaction), even when pitted against extant situation taxonomic frameworks. We conclude by discussing how the CAPTION framework may serve as a useful tool for conceptualizing and measuring a broad range of psychological situations across all areas of psychology. (PsycINFO Database Record

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This article provides a review and synthesis of person-centered analytic (i.e., clustering) methods in organizational psychology with the aim of (a) placing them into an organizing framework to facilitate analysis and interpretation and (b) constructing a set of practical recommendations to guide future person-centered research. To do so, we first clarify the terminological and conceptual issues that still cloud person-centered approaches. Next, we organize the diverse kinds of person-centered analyses into two major statistical approaches, algorithmic and latent-variable approaches. We then present a literature review that quantifies how these two approaches have been used within our field, identifying trends over time and typical study characteristics. Out of this review, we construct a unifying taxonomy of the five ways in which clusters are differentiated: (1) construct-based patterns, (2) response-style patterns, (3) predictive relations, (4) growth trajectories, and (5) measurement models. We also provide a set of practical guidelines for researchers and highlight a few remaining questions and/or areas in which future work is needed for further advancing person-centered methodologies. Keywords profile analysis, cluster analysis, latent class analysis, latent class growth models The "person-centered" approach has become an increasingly used concept within the organizational sciences. Recent publications (e.g., Morin, Meyer, Creusier, & Biétry, 2016) and a 2011 special issue of Organizational Research Methods (Wang & Hanges, 2011) have either used or explicated person-centered analytic frameworks. However, this term has also been used to simultaneously

BackgroundAs globalization continues to impact the engineering profession, many programs aim to prepare current and future engineers to work across national and cultural boundaries. Yet there remains a lack of quality tools for assessing global competency among engineers and other technical professionals, including their behavioral tendencies in global work situations. PurposeWe introduce development of a situational judgment test (SJT) covering three dimensions of global engineering competency in Chinese national/cultural context. The main aim of this paper is to describe how the SJT was developed through a systematic multi-step process. Secondarily, we explore relationships between SJT performance and other theoretically relevant variables. MethodsAfter generating a large initial pool of SJT scenarios and behavioral response items, we used ratings from subject matter experts (SMEs) to select 6 SJT scenarios and create scoring keys for 26 response items. To further explore the instrument's validity, we deployed the SJT items, other relevant measures, and a demographic survey to a sample of practicing engineers (n=400). ResultsSME ratings provide strong evidence for the content relevance of the GEC-SJT tool. Survey results also suggest positive relationships between SJT performance and Chinese cultural knowledge, age, and years of work experience. However, more validity and reliability evidence is needed before recommending wider use of the instrument. ConclusionsOur findings confirm the SJT format as a promising behavior-based approach to measuring This article is protected by copyright. All rights reserved. This is the author manuscript accepted for publication and has undergone full peer review but has not been through the copyediting, typesetting, pagination and proofreading process, which may lead to differences between this version and the Version of Record. Please cite this article as