scholarly journals The Psychology of Authenticity

2019 ◽  
Vol 23 (1) ◽  
pp. 8-18 ◽  
Author(s):  
George E. Newman

Perceptions of authenticity (or, inauthenticity) have been shown to affect people’s judgments and behavior across a wide variety of domains. However, there is still ambiguity about how the concept should be defined. This is attributable, at least in part, to a growing list of different “kinds of authenticity” with little discussion of the potential overlaps between them. The goal of this paper is to reduce these various notions of authenticity into a more manageable set of constructs. Building on the work of Newman and Smith (2016a), three broad kinds of authenticity are proposed: Historical, Categorical, and Values authenticity. Two studies then examine the extent to which people’s conceptions of authenticity naturally segment into these three types. Specifically, Study 1 asks participants about the various ways in which they might assess authenticity, whereas Study 2 examines individual differences in sensitivity to different kinds of inauthenticity. The results from both studies indicate a striking degree of convergence in support of these three broad dimensions. Moreover, different populations appear to be differentially concerned about these various ways of evaluating authenticity. The implications of this framework for existing and future work in this area are discussed.

2014 ◽  
Vol 35 (2) ◽  
pp. 111-118
Author(s):  
Daniel J. Howard ◽  
Roger A. Kerin

The name similarity effect is the tendency to like people, places, and things with names similar to our own. Although many researchers have examined name similarity effects on preferences and behavior, no research to date has examined whether individual differences exist in susceptibility to those effects. This research reports the results of two experiments that examine the role of self-monitoring in moderating name similarity effects. In the first experiment, name similarity effects on brand attitude and purchase intentions were found to be stronger for respondents high, rather than low, in self-monitoring. In the second experiment, the interactive effect observed in the first study was found to be especially true in a public (vs. private) usage context. These findings are consistent with theoretical expectations of name similarity effects as an expression of egotism manifested in the image and impression management concerns of high self-monitors.


2021 ◽  
Author(s):  
Qiushi Wang ◽  
Yuehua Xu ◽  
Tengda Zhao ◽  
Zhilei Xu ◽  
Yong He ◽  
...  

Abstract The functional connectome is highly distinctive in adults and adolescents, underlying individual differences in cognition and behavior. However, it remains unknown whether the individual uniqueness of the functional connectome is present in neonates, who are far from mature. Here, we utilized the multiband resting-state functional magnetic resonance imaging data of 40 healthy neonates from the Developing Human Connectome Project and a split-half analysis approach to characterize the uniqueness of the functional connectome in the neonatal brain. Through functional connectome-based individual identification analysis, we found that all the neonates were correctly identified, with the most discriminative regions predominantly confined to the higher-order cortices (e.g., prefrontal and parietal regions). The connectivities with the highest contributions to individual uniqueness were primarily located between different functional systems, and the short- (0–30 mm) and middle-range (30–60 mm) connectivities were more distinctive than the long-range (>60 mm) connectivities. Interestingly, we found that functional data with a scanning length longer than 3.5 min were able to capture the individual uniqueness in the functional connectome. Our results highlight that individual uniqueness is present in the functional connectome of neonates and provide insights into the brain mechanisms underlying individual differences in cognition and behavior later in life.


The Forum ◽  
2021 ◽  
Vol 19 (2) ◽  
pp. 203-227
Author(s):  
Vladimir E. Medenica ◽  
Matthew Fowler

Abstract While much attention has been paid to understanding the drivers of support for Donald Trump, less focus has been placed on understanding the factors that led individuals to turn out and vote or stay home. This paper compares non-voters and voters in the 2016 election and explores how self-reported candidate preference prior to the election predicted turnout across three different state contexts: (1) all states, (2) closely contested states won by Trump, and (3) closely contested states won by Clinton. We find that preference for both candidates predicted turnout in the aggregate (all states) and in closely contested states won by Clinton, but only preference for Trump predicted turnout in the closely contested states won by Trump. Moreover, we find that political interest is negatively associated with preference for Clinton when examining candidate preferences among non-voters. Our analysis suggests that non-voters in the 2016 election held meaningful candidate preferences that impacted voter turnout but that state context played an important role in this relationship. This study sheds light on an understudied component of the 2016 election, the attitudes and behavior of non-voters, as well as points to the importance of incorporating contextual variation in future work on electoral behavior and voter turnout.


2020 ◽  
Author(s):  
Wesley J Meredith ◽  
Carlos Cardenas-Iniguez ◽  
Marc Berman ◽  
Monica Rosenberg

Individual differences in children’s cognitive abilities impact life and health outcomes. What factors influence these individual differences during development? Here we test whether children’s environments predict cognitive performance, independent of well- characterized socioeconomic effects. We analyzed data from 9002 9–10-year-olds from the Adolescent Brain Cognitive Development Study, an ongoing longitudinal study with community samples across the U.S.A. Using youth- and caregiver-report questionnaires and national database registries (e.g., neighborhood crime, walkability), we defined principal components summarizing children’s home, school, neighborhood, and cultural environments. In two independent samples (ns = 3475, 5527), environmental components explained unique variance in children’s general cognitive ability, executive functioning, and learning/memory abilities. Furthermore, increased neighborhood enrichment was associated with a decreased relationship between sociodemographics and general cognitive abilities. Thus, the environment explains unique variance in cognitive performance in development and should be considered alongside sociodemographic factors to understand brain functioning and behavior.


2012 ◽  
Vol 15 (5) ◽  
pp. 668-671 ◽  
Author(s):  
Livia Veselka ◽  
Julie Aitken Schermer ◽  
Caroline Just ◽  
Yoon-Mi Hur ◽  
J. Philippe Rushton ◽  
...  

The mothers of 603 pairs of 3- to 13-year-old twins in Korea completed the Emotionality, Activity, Sociability (EAS) Temperament Survey and the Strengths and Difficulties Questionnaire in reference to their twins. Principal factor analysis of the seven scales comprising these measures yielded a general factor on which all the scales had moderate to large loadings. Univariate behavioral genetic analyses showed that individual differences on this general factor could best be accounted for by additive genetic and non-shared environmental effects, with a heritability of 53%. The results strengthen the construct validity of the general factor of personality (GFP) by extracting this higher-order dimension from disparate measures, and have implications regarding social desirability criticisms applied to the GFP theory.


2017 ◽  
Vol 32 (3) ◽  
Author(s):  
Narges Khanjani ◽  
Abu-Bakr Jafarnejad ◽  
Leila Tavakkoli

AbstractIntroduction:Arsenic is one of the heavy metals known to be a cause of cancer and many other serious human health problems. The International Agency for Research on Cancer (IARC), has classified arsenic as a Group 1 carcinogen. Studies were performed in different populations to investigate the association between arsenic and breast cancer and the present paper attempts to review these studies.Methods and materials:Accessible electronic resources including, PubMed, Web of Knowledge, Science Direct and Scopus and Google Scholar were searched, with relevant phrases up to October 30, 2016. All articles were reviewed by two people separately and among them, original epidemiologic studies that investigated the association between breast cancer and exposure to arsenic were included.Results:Eventually seven articles were selected from 126 retrieved articles. Although three studies (one case-control and two ecological) were not able to show a significant affect, others provide some evidence of a relation between arsenic and breast cancer in specific subgroups.Conclusion:Exposure to arsenic may increase the risk of breast cancer. The strength of this relation can vary due to regional and individual differences.


Author(s):  
Nenad Ivezic ◽  
James H. Garrett

AbstractThe goal of machine learning for artifact synthesis is the acquisition of the relationships among form, function, and behavior properties that can be used to determine more directly form attributes that satisfy design requirements. The proposed approach to synthesis knowledge acquisition and use (SKAU) described in this paper, called NETSYN, creates a function to estimate the probability of each possible value of each design property being used in a given design context. NETSYN uses a connectionist learning approach to acquire and represent this probability estimation function and exhibits good performance when tested on an artificial design problem. This paper presents the NETSYN approach for SKAU, a preliminary test of its capability, and a discussion of issues that need to be addressed in future work.


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