scholarly journals Unequal treatment toward copartisans versus non-copartisans is reduced when partisanship can be falsified

PLoS ONE ◽  
2021 ◽  
Vol 16 (1) ◽  
pp. e0244651
Author(s):  
Maria Abascal ◽  
Kinga Makovi ◽  
Anahit Sargsyan
Keyword(s):  
Behavioral Experiment ◽  
Party Affiliation ◽  
Aggregate Level ◽  
Individual Level ◽  
Unequal Treatment ◽  
The Individual ◽  
Democrats And Republicans ◽  
Better Than ◽  
Do So

Studies show that Democrats and Republicans treat copartisans better than they do non-copartisans. However, party affiliation is different from other identities associated with unequal treatment. Compared to race or gender, people can more easily falsify, i.e., lie about, their party affiliation. We use a behavioral experiment to study how people allocate resources to copartisan and non-copartisan partners when partners are allowed to falsify their affiliation and may have incentives to do so. When affiliation can be falsified, the gap between contributions to signaled copartisans and signaled non-copartisans is eliminated. This happens in part because some participants—especially strong partisans—suspect that partners who signal a copartisan affiliation are, in fact, non-copartisans. Suspected non-copartisans earn less than both partners who signal that they are non-copartisans and partners who withhold their affiliation. The findings reveal an unexpected upside to the availability of falsification: at the aggregate level, it reduces unequal treatment across groups. At the individual-level, however, falsification is risky.

Conclusions

2017 ◽  
Author(s):  
Geoff Moore
Keyword(s):  
Corporate Social Responsibility ◽  
Social Responsibility ◽  
Virtue Ethics ◽  
Organizational Ethics ◽  
Stakeholder Approach ◽  
Individual Level ◽  
Managerial Implications ◽  
The Individual ◽  
Corporate Social ◽  
Do So

The purpose of the concluding chapter is to review and draw some conclusions from all that has been covered in previous chapters. To do so, it first summarizes the MacIntyrean virtue ethics approach, particularly at the individual level. It then reconsiders the organizational and managerial implications, drawing out some of the themes which have emerged from the various studies which have been explored particularly in Chapters 8 and 9. In doing so, the chapter considers a question which has been implicit in the discussions to this point: how feasible is all of this, particularly for organizations? In the light of that, it revisits the earlier critique of current approaches to organizational ethics (Corporate Social Responsibility and the stakeholder approach), before concluding.

scholarly journals Frankly, We Do Give a Damn

2017 ◽  
Vol 8 (7) ◽  
pp. 816-826 ◽  
Author(s):  
Gilad Feldman ◽  
Huiwen Lian ◽  
Michal Kosinski ◽  
David Stillwell
Keyword(s):  
Social Interactions ◽  
Positive Relationship ◽  
Real Life ◽  
Linguistic Analysis ◽  
The Other ◽  
Aggregate Level ◽  
Individual Level ◽  
Common Causes ◽  
The Individual ◽  
The Relationship

There are two conflicting perspectives regarding the relationship between profanity and dishonesty. These two forms of norm-violating behavior share common causes and are often considered to be positively related. On the other hand, however, profanity is often used to express one’s genuine feelings and could therefore be negatively related to dishonesty. In three studies, we explored the relationship between profanity and honesty. We examined profanity and honesty first with profanity behavior and lying on a scale in the lab (Study 1; N = 276), then with a linguistic analysis of real-life social interactions on Facebook (Study 2; N = 73,789), and finally with profanity and integrity indexes for the aggregate level of U.S. states (Study 3; N = 50 states). We found a consistent positive relationship between profanity and honesty; profanity was associated with less lying and deception at the individual level and with higher integrity at the society level.

Levels of Aggregation in Conjoint Analysis: An Empirical Comparison

1980 ◽  
Vol 17 (4) ◽  
pp. 516-523 ◽  
Author(s):  
William L. Moore
Keyword(s):  
Conjoint Analysis ◽  
Predictive Power ◽  
Aggregate Level ◽  
Segmentation Method ◽  
Empirical Comparison ◽  
Individual Level ◽  
Aggregate Analysis ◽  
The Individual ◽  
Level Analysis

Two segmented methods of performing conjoint anal/sis, clustered and componential segmentation, are compared with each other as well as with individual level and totally aggregate level analyses. The two segmented methods provide insights to the data that (1) are not obtainable at the aggregate level and (2) are in a form that is more easily communicated than the information from the individual level analysis. The predictive power of the clustered segmentation method is higher than that of componential segmentation, and both are superior to the aggregate analysis but inferior to individual level analysis.

Individual Components of Three Inequality Measures for Analyzing Shapes of Inequality

2019 ◽  
pp. 004912411987596
Author(s):  
Tim Futing Liao
Keyword(s):  
Sociological Research ◽  
Aggregate Level ◽  
Current Population Survey Data ◽  
Single Measure ◽  
Generalized Entropy ◽  
Individual Level ◽  
Inequality Measures ◽  
Entropy Measures ◽  
Individual Contributions ◽  
The Individual

In common sociological research, income inequality is measured only at the aggregate level. The main purpose of this article is to demonstrate that there is more than meets the eye when inequality is indicated by a single measure. In this article, I introduce an alternative method that evaluates individuals’ contributions to inequality as well as the between-group and within-group components of these individual contributions. I first highlight three common inequality measures, the Gini index and two generalized entropy measures—Theil’s T and Theil’s L indices—by presenting their individual components as a method for evaluating inequality. Five artificial data examples illustrate the use of these individual components first. An empirical analysis of the 2007 and 2017 Current Population Survey data then focuses on the differences in inequality revealed by such individual inequality components between the 2007 and 2017. The individual-level inequality measures can reveal patterns of inequality concealed by single measures at the aggregate level. In particular, the Gini individual measures differentiate cases better than the generalized entropy measures and tend to have smaller standard errors in a regression analysis.

Definiteness in written Swedish by Finnish-speaking immersion pupils at the end of immersion

2018 ◽  
Vol 6 (1) ◽  
pp. 57-84
Author(s):  
Eeva-Liisa Nyqvist
Keyword(s):  
Control Group ◽  
Group Level ◽  
Individual Level ◽  
Definite Form ◽  
Spontaneous Writing ◽  
Acquisition Order ◽  
The Individual ◽  
The Right ◽  
Better Than

Abstract There are two primary goals for this study – first, to analyse definiteness and article use in spontaneous writing in Swedish by 15-year-old Finnish immersion students (n = 162) and secondly, to compare their performance with that of non-immersion students at the same age (n = 67). Analyses at the group level show that immersion students usually perform significantly better than the control group, but they also reveal similar problems to what L2-Swedish non-immersion students have demonstrated in previous studies, such as omission of indefinite articles and difficulty in choosing the right definite form of the noun. Still, these inaccuracies occurred less often in the data from the immersion students. The studied constructions also show at the group level an acquisition order similar to that reported in previous studies, explainable by different aspects of complexity and cross-linguistic influence. Analyses on the individual level, however, show different acquisition orders depending on the criteria being used.

Trustees, Delegates, and Responsiveness in Comparative Perspective

2016 ◽  
Vol 50 (6) ◽  
pp. 766-793 ◽  
Author(s):  
Shaun Bowler
Keyword(s):  
Academic Research ◽  
Large Body ◽  
European Social Survey ◽  
Aggregate Level ◽  
Social Survey ◽  
Individual Level ◽  
Conceptual Distinction ◽  
Citizen Preferences ◽  
The Individual ◽  
Government Responsiveness

A large body of aggregate-level work shows that government policies do indeed respond to citizen preferences. But whether citizens recognize that government is responsive is another question entirely. Indeed, a prior question is whether or not citizens value responsiveness in the way that academic research assumes they should in the first place. Using comparative data from the European Social Survey, this article examines how citizens see government responsiveness. We show that several key assumptions of the aggregate-level literature are met at the individual level. But we also present results that show that attitudes toward representation and responsiveness are colored, sometimes in quite surprising ways, by winner–loser effects. In a finding that stands in some contrast to the normative literature on the topic, we show that these sorts of short-term attitudes help shape preferences for models of representation. In particular, we show that the distinction between delegates and trustees is a conceptual distinction that has limits in helping us to understand citizen preferences for representation.

Discriminating between behaviour using market data from panels

2014 ◽  
Vol 56 (1) ◽  
pp. 73-88
Author(s):  
Hsiu-Yuan Tsao ◽  
Leyland Pitt ◽  
Colin Campbell
Keyword(s):  
Limiting Factors ◽  
Sequence Length ◽  
Aggregate Level ◽  
Individual Level ◽  
Consumer Panel ◽  
Considerable Research ◽  
Switching Behaviour ◽  
Promotional Effect ◽  
Share Data ◽  
The Individual

Considerable research exists on stochastic models of switching behaviour that uses sequences of individual-level purchase data. While at the individual level, sample size and sequence length are limiting factors, at the aggregate level, heterogeneity with respect to purchase sequences may assist in interpreting results. The authors propose an approach to discriminate between the switching behaviour of variety seeking, indifference and reinforcement. Only the proportion of 100% loyal customers, market share data and an estimation of the promotional effect -information all available from consumer panel data - are necessary to fit the model.

Conclusion: The Identity of Identity

2019 ◽  
pp. 126-132
Author(s):  
Florian Coulmas
Keyword(s):  
Fuzzy Sets ◽  
Everyday Life ◽  
Individual Level ◽  
The Individual ◽  
Do So

The word ‘identity’ suggests immutability, self-sameness, and permanency, while in fact it does what other words also do: it changes its meaning, now so rapidly that it is hard to keep track. ‘Conclusion: the identity of identity’ concludes that, on the individual level, identities have become a matter of negotiating and, as the need to do so arises, renegotiating your place, your purpose, and your presentation in everyday life. On the collective level, identities are fuzzy sets rather than clearly delineated groups. Yet, the assertion of, search for, and preoccupation with, identity keeps growing and invading ever more spheres of life. There are no indications that the identity wave is flattening.

scholarly journals Status Construction During COVID-19: Antibody Positive People's Rising Prestige

2020 ◽  
Vol 5 ◽  
Author(s):  
M. D. R. Evans ◽  
Jonathan Kelley ◽  
Sarah Kelley
Keyword(s):  
State Theory ◽  
Cultural Value ◽  
Individual Level ◽  
Social Scripts ◽  
General Logic ◽  
The Status ◽  
The Individual ◽  
Small Elements ◽  
New Inequalities ◽  
Do So

The protracted COVID-19 crisis provides a new social niche in which new inequalities can emerge. We provide predictions about one such new inequality using the logic of Status Construction Theory (SCT). SCT, rooted in Expectations State Theory and from there developed by Ridgeway and colleagues, proposes general hypotheses about how new inequalities arise through process of interaction at the individual level: an unordered categorical difference becomes attached to a cultural value that gives one category more value than the other; social scripts concerning it emerge; small elements of assertion and deference creep into more and more encounters that an individual participates in, hears about through networks, and learns about via social and conventional media. The categorical difference begins to morph into a hierarchical status distinction. Through these mechanisms, individuals develop “status beliefs” that most people in their communities endorse the status distinction. Although they may or may not endorse the distinction personally, they believe that most people do so and they find that the path of least resistance socially is to enact the scripts that affirm the higher status/prestige of the favored group. We apply Status Construction Theory to the categorical difference between Antibody Positives (who have been tested for IgG antibodies) and Others (everybody else). Using the general logic of SCT and specifically developing applications of its key propositions, we predict that the categorical difference between Antibody Positives and Others will transition to a status distinction and propose testable, falsifiable hypotheses about each step of the process.

Voting Outcomes in the 1984 Democratic Party Primaries and Caucuses

1987 ◽  
Vol 81 (1) ◽  
pp. 67-84 ◽  
Author(s):  
T. Wayne Parent ◽  
Calvin C. Jillson ◽  
Ronald E. Weber
Keyword(s):  
Democratic Party ◽  
Aggregate Level ◽  
Individual Level ◽  
Primary Election ◽  
Electoral Outcomes ◽  
The Individual ◽  
Scholarly Inquiry ◽  
Level Analysis ◽  
Level Of Analysis

Scholarly inquiry concerning influences on electoral outcomes in the presidential nomination process, though extensive, has been conducted almost exclusively with data collected at the individual level of analysis. The Michigan model of normal vote analysis suggests that long-term influences measured at the aggregate level, such as the sociodemographic, economic, and ideological characteristics of the states, are also important in determining electoral outcomes. We present an aggregate-level analysis of state characteristics that affected the Hart, Jackson, and Mondale vote proportions in the 1984 Democratic caucuses and primaries. Our primary election models explain between 65% and 83% of the variance in candidate vote shares, with sociodemographic and economic factors as the leading indicators. In the caucuses, we find that campaign spending and sociodemographic influences are dominant in models that explain between 38% and 81% of the variance. We conclude with a brief discussion of what our findings mean for future Democratic candidates.

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