scholarly journals Dimensions of pathological narcissism and intention to vote for Donald Trump

PLoS ONE ◽  
2021 ◽  
Vol 16 (4) ◽  
pp. e0249892
Author(s):  
Matthew M. Yalch
Keyword(s):  
Presidential Election ◽  
Demographic Variables ◽  
Mechanical Turk ◽  
Donald Trump ◽  
Pathological Narcissism ◽  
Potential Predictor ◽  
Self Image ◽  
The Hierarchical Structure ◽  
Amazon's Mechanical Turk ◽  
Best Fit

Pathological narcissism is a term often applied to former President Donald Trump, but it has been less examined as a potential predictor of voting for him. Trump projects a grandiose and omnipotent self-image during press conferences and rallies, and his followers at these events often respond with both effusive admiration and an inflated sense of their own self-regard, all of which are aspects of narcissism. However, while Trump’s personal narcissism has been well documented, there is little research on the narcissism of his supporters. In this study we conducted an exploratory analysis examining the hierarchical structure of pathological narcissism and which aspects of narcissism within that structure were associated with intended voting for Trump in the 2020 U.S. presidential election in a sample of U.S. residents collected online (N = 495) using Amazon’s Mechanical Turk. Results indicated that an eight-echelon hierarchy best fit the data. Within this hierarchy, antagonistic and indifferent aspects of narcissism within the fifth echelon best predicted intended voting for Trump over and above relevant demographic variables. These results have implications for the study of narcissism and, especially given the results of the 2020 election, the degree to which one can make use of narcissistic aspects of personality in political contests.

scholarly journals A Psychological Profile of the Alt-Right

2019 ◽  
Vol 15 (1) ◽  
pp. 90-116 ◽  
Author(s):  
Patrick S. Forscher ◽  
Nour S. Kteily
Keyword(s):  
Presidential Election ◽  
Mechanical Turk ◽  
Social Discourse ◽  
Psychological Profile ◽  
Considerable Influence ◽  
Mainstream Media ◽  
Nationally Representative ◽  
Economic Anxiety ◽  
Amazon's Mechanical Turk ◽  
The U.S

The 2016 U.S. presidential election coincided with the rise of the “alternative right,” or alt-right. Alt-right associates have wielded considerable influence on the current administration and on social discourse, but the movement’s loose organizational structure has led to disparate portrayals of its members’ psychology and made it difficult to decipher its aims and reach. To systematically explore the alt-right’s psychology, we recruited two U.S. samples: An exploratory sample through Amazon’s Mechanical Turk ( N = 827, alt-right n = 447) and a larger, nationally representative sample through the National Opinion Research Center’s Amerispeak panel ( N = 1,283, alt-right n = 71–160, depending on the definition). We estimate that 6% of the U.S. population and 10% of Trump voters identify as alt-right. Alt-right adherents reported a psychological profile more reflective of the desire for group-based dominance than economic anxiety. Although both the alt-right and non-alt-right Trump voters differed substantially from non-alt-right, non-Trump voters, the alt-right and Trump voters were quite similar, differing mainly in the alt-right’s especially high enthusiasm for Trump, suspicion of mainstream media, trust in alternative media, and desire for collective action on behalf of Whites. We argue for renewed consideration of overt forms of bias in contemporary intergroup research.

The Pathological Narcissism Inventory: Measurement Invariance Across Serbian and USA Samples and Further Validation

2020 ◽  
Vol 36 (4) ◽  
pp. 670-680 ◽  
Author(s):  
Bojana M. Dinić ◽  
Aleksandar Vujić
Keyword(s):  
Measurement Invariance ◽  
Self Esteem ◽  
Order Structure ◽  
Pathological Narcissism ◽  
Cultural Validity ◽  
Hypersensitive Narcissism ◽  
The Hierarchical Structure ◽  
The Usa ◽  
Pathological Narcissism Inventory ◽  
Narcissistic Grandiosity

Abstract. The aim of this research was to explore measurement invariance across samples from Serbia and the USA (Study 1) and to further validate the Serbian adaptation of the Pathological Narcissism Inventory – PNI (Study 2). The results supported the original seven-factor first-order structure as well as the hierarchical structure of the PNI with Narcissistic grandiosity and vulnerability as the second-order factors. Further, scalar invariance between the two versions of the PNI was achieved. Relations between Narcissistic grandiosity and vulnerability and other measures of grandiose and hypersensitive narcissism supported the validity of their scores. Among HEXACO traits, both Narcissistic grandiosity and vulnerability showed substantial negative correlations with Honesty-Humility. The main distinctions between the two aspects of narcissism lie in the positive relations with Neuroticism and negative relations with self-esteem, both of which are higher for Narcissistic vulnerability. The results support good psychometric properties of the PNI scores and add to the PNI’s cross-cultural validity.

Examining false beliefs about voter fraud in the wake of the 2020 Presidential Election

2021 ◽  
Author(s):  
Gordon Pennycook ◽  
David Gertler Rand
Keyword(s):  
Presidential Election ◽  
False Beliefs ◽  
Wide Spread ◽  
Donald Trump ◽  
Legal Challenges ◽  
Election Fraud ◽  
Voter Fraud ◽  
Election News

The 2020 U.S. Presidential Election saw an unprecedented number of false claims alleging election fraud and arguing that Donald Trump was the actual winner of the election. Here we report a survey exploring belief in these false claims that was conducted three days after Biden was declared the winner. We find that a majority of Trump voters in our sample – particularly those who were more politically knowl-edgeable and more closely following election news – falsely believed that election fraud was wide-spread and that Trump won the election. Thus, false beliefs about the election are not merely a fringe phenomenon. We also find that Trump conceding or losing his legal challenges would likely lead a ma-jority of Trump voters to accept Biden’s victory as legitimate, although 40% said they would continue to view Biden as illegitimate regardless. Finally, we found that levels of partisan spite and endorsement of violence were equivalent between Trump and Biden voters.

A Technical Guide to Using Amazon's Mechanical Turk in Behavioral Accounting Research

2017 ◽  
Vol 30 (1) ◽  
pp. 111-122 ◽  
Author(s):  
Steve Buchheit ◽  
Marcus M. Doxey ◽  
Troy Pollard ◽  
Shane R. Stinson
Keyword(s):  
Third Party ◽  
Mechanical Turk ◽  
Behavioral Accounting ◽  
Online Data ◽  
Research Participants ◽  
Traditional Research ◽  
Potential Benefits ◽  
Technical Guide ◽  
Online Data Collection ◽  
Amazon's Mechanical Turk

ABSTRACT Multiple social science researchers claim that online data collection, mainly via Amazon's Mechanical Turk (MTurk), has revolutionized the behavioral sciences (Gureckis et al. 2016; Litman, Robinson, and Abberbock 2017). While MTurk-based research has grown exponentially in recent years (Chandler and Shapiro 2016), reasonable concerns have been raised about online research participants' ability to proxy for traditional research participants (Chandler, Mueller, and Paolacci 2014). This paper reviews recent MTurk research and provides further guidance for recruiting samples of MTurk participants from populations of interest to behavioral accounting researchers. First, we provide guidance on the logistics of using MTurk and discuss the potential benefits offered by TurkPrime, a third-party service provider. Second, we discuss ways to overcome challenges related to targeted participant recruiting in an online environment. Finally, we offer suggestions for disclosures that authors may provide about their efforts to attract participants and analyze responses.

Development and Validation of the Ableist Microaggression Impact Questionnaire

2021 ◽  
pp. 003435522110142
Author(s):  
Deniz Aydemir-Döke ◽  
James T. Herbert
Keyword(s):  
Factor Analysis ◽  
Factor Structure ◽  
Internal Consistency ◽  
Internal Consistency Reliability ◽  
Mechanical Turk ◽  
Rehabilitation Counselor ◽  
Research And Practice ◽  
Amazon's Mechanical Turk ◽  
Development And Validation ◽  
Three Factor

Microaggressions are daily insults to minority individuals such as people with disabilities (PWD) that communicate messages of exclusion, inferiority, and abnormality. In this study, we developed a new scale, the Ableist Microaggressions Impact Questionnaire (AMIQ), which assesses ableist microaggression experiences of PWD. Data from 245 PWD were collected using Amazon’s Mechanical Turk (MTurk) platform. An exploratory factor analysis of the 25-item AMIQ revealed a three-factor structure with internal consistency reliability ranging between .87 and .92. As a more economical and psychometrically sound instrument assessing microaggression impact as it pertains to disability, the AMIQ offers promise for rehabilitation counselor research and practice.

Masks and Emasculation: Populist Crisis Rhetoric and the 2020 Presidential Election

2021 ◽  
pp. 000276422110112
Author(s):  
Meredith Neville-Shepard
Keyword(s):  
Presidential Election ◽  
Rhetorical Analysis ◽  
Presidential Campaign ◽  
Donald Trump ◽  
Preventative Measure ◽  
Litmus Test

This essay illustrates how Donald Trump engaged in what I call “populist crisis rhetoric” throughout the COVID-19 pandemic and coinciding 2020 U.S. presidential campaign cycle. By performing a critical rhetorical analysis of textual fragments surrounding how Trump addressed the preventative measure of mask-wearing, I show how he rejected the role of comforter-in-chief and instead opted for the role of victim-in-chief. Specifically, turning the bare face into a litmus test of Trump loyalism, his rhetoric suggested that masks threatened masculinity and functioned as a form of anti-choice bodily oppression.

scholarly journals Using infographics to improve trust in science: a randomized pilot test

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Jon Agley ◽  
Yunyu Xiao ◽  
Esi E. Thompson ◽  
Lilian Golzarri-Arroyo
Keyword(s):  
Iterative Process ◽  
Behavioral Intentions ◽  
Research Team ◽  
Qualitative Data ◽  
Mechanical Turk ◽  
Full Study ◽  
Amazon's Mechanical Turk ◽  
Study Participants ◽  
Qualitative Responses ◽  
Large Randomized Trial

Abstract Objective This study describes the iterative process of selecting an infographic for use in a large, randomized trial related to trust in science, COVID-19 misinformation, and behavioral intentions for non-pharmaceutical prevenive behaviors. Five separate concepts were developed based on underlying subcomponents of ‘trust in science and scientists’ and were turned into infographics by media experts and digital artists. Study participants (n = 100) were recruited from Amazon’s Mechanical Turk and randomized to five different arms. Each arm viewed a different infographic and provided both quantitative (narrative believability scale and trust in science and scientists inventory) and qualitative data to assist the research team in identifying the infographic most likely to be successful in a larger study. Results Data indicated that all infographics were perceived to be believable, with means ranging from 5.27 to 5.97 on a scale from one to seven. No iatrogenic outcomes were observed for within-group changes in trust in science. Given equivocal believability outcomes, and after examining confidence intervals for data on trust in science and then the qualitative responses, we selected infographic 3, which addressed issues of credibility and consensus by illustrating changing narratives on butter and margarine, as the best candidate for use in the full study.

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