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Open AccessJournal ArticleDOI

Risk preference shares the psychometric structure of major psychological traits

TLDR
These findings offer a first step toward a general mapping of the construct risk preference, which encompasses both general and domain-specific components, and have implications for the assessment of risk preference in the laboratory and in the wild.
Abstract
To what extent is there a general factor of risk preference, R, akin to g, the general factor of intelligence? Can risk preference be regarded as a stable psychological trait? These conceptual issues persist because few attempts have been made to integrate multiple risk-taking measures, particularly measures from different and largely unrelated measurement traditions (self-reported propensity measures assessing stated preferences, incentivized behavioral measures eliciting revealed preferences, and frequency measures assessing actual risky activities). Adopting a comprehensive psychometric approach (1507 healthy adults completing 39 risk-taking measures, with a subsample of 109 participants completing a retest session after 6 months), we provide a substantive empirical foundation to address these issues, finding that correlations between propensity and behavioral measures were weak. Yet, a general factor of risk preference, R, emerged from stated preferences and generalized to specific and actual real-world risky activities (for example, smoking). Moreover, R proved to be highly reliable across time, indicative of a stable psychological trait. Our findings offer a first step toward a general mapping of the construct risk preference, which encompasses both general and domain-specific components, and have implications for the assessment of risk preference in the laboratory and in the wild.

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Genome-wide association analyses of risk tolerance and risky behaviors in over 1 million individuals identify hundreds of loci and shared genetic influences

Richard Karlsson Linnér, +115 more
- 14 Jan 2019 - 
TL;DR: This paper found evidence of substantial shared genetic influences across risk tolerance and the risky behaviors: 46 of the 99 general risk tolerance loci contain a lead SNP for at least one of their other GWAS, and general risk-tolerance is genetically correlated with a range of risky behaviors.
Journal ArticleDOI

Behavioural factors affecting the adoption of sustainable farming practices: a policy-oriented review

TL;DR: In this paper, the authors review the findings from the last 20 years on the behavioural factors that influence farmers' decisions to adopt environmentally sustainable practices and propose policy options to increase adoption, based on these behavioural factors and embedded in the EU Common Agricultural Policy.
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Personality and prosocial behavior: A theoretical framework and meta-analysis.

TL;DR: A theoretical framework is presented that identifies 4 broad situational affordances across interdependent situations that can determine when, which, and how personality traits should be expressed in prosocial behavior and found that narrow and broad traits alike can account for Prosocial behavior, informing the bandwidth-fidelity problem.
Journal ArticleDOI

Why Are Self-Report and Behavioral Measures Weakly Correlated?

TL;DR: It is suggested that weak correlations between self-report and behavioral measures of the same construct result from the poor reliability of many behavioral measures and the distinct response processes involved in the two measurement types.
Journal ArticleDOI

Uncovering the structure of self-regulation through data-driven ontology discovery.

TL;DR: It is concluded that self-regulation lacks coherence as a construct, and that data-driven ontologies lay the groundwork for a cumulative psychological science.
References
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Journal ArticleDOI

The theory of planned behavior

TL;DR: Ajzen, 1985, 1987, this article reviewed the theory of planned behavior and some unresolved issues and concluded that the theory is well supported by empirical evidence and that intention to perform behaviors of different kinds can be predicted with high accuracy from attitudes toward the behavior, subjective norms, and perceived behavioral control; and these intentions, together with perceptions of behavioral control, account for considerable variance in actual behavior.
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Meta-Analysis: A Constantly Evolving Research Integration Tool

TL;DR: The four articles in this special section onMeta-analysis illustrate some of the complexities entailed in meta-analysis methods and contributes both to advancing this methodology and to the increasing complexities that can befuddle researchers.
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Convergent and discriminant validation by the multitrait-multimethod matrix.

TL;DR: This transmutability of the validation matrix argues for the comparisons within the heteromethod block as the most generally relevant validation data, and illustrates the potential interchangeability of trait and method components.
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lavaan: An R Package for Structural Equation Modeling

TL;DR: The aims behind the development of the lavaan package are explained, an overview of its most important features are given, and some examples to illustrate how lavaan works in practice are provided.
Journal ArticleDOI

mice: Multivariate Imputation by Chained Equations in R

TL;DR: Mice adds new functionality for imputing multilevel data, automatic predictor selection, data handling, post-processing imputed values, specialized pooling routines, model selection tools, and diagnostic graphs.
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