Displaying proportions and percentages

Pie and bar charts are commonly used to display percentage or proportional data, but professional data analysts have frowned on the use of the pie chart on the grounds that judgements of area are less accurate than judgements of lenth. Thus the bar chart has been favoured. When the amount of data to be communicated is small, some authorities have advocated the use of properly constructed tables, as another option. The series of experiments reported here suggests that there is little to choose between the pie and the bar chart, with the former enjoying a slight advantage if the required judgement is a complicated one, but that both forms of chart are superior to the table. Thus our results do not support the commonly expressed opinion that pie charts are inferior. An analysis of the nature of the task and a review of the psychophysical literature suggest that the traditional prejudice against the pie chart is misguided.     

Think manager—think male,think follower—think female: Gender bias in implicit followership theories

Because of the overlap between the social roles of women and followers, we predicted that people would show a bias, that is, favor female followers over male followers. To support this hypothesis, we conducted two studies: An explicit test of the bias using a scenario design and an implicit association test (IAT)‐based study. Both studies show that the role of an ideal follower is more strongly associated with the female gender role, which seems to be caused partly by a more communal connotation of the follower role. This effect might contribute to the underrepresentation of women in leadership positions as they are perceived to be an ideal fit for followership positions; but it may also push men away from being followers and into leadership positions.     

On the Theorem of Correspondence

In a recent paper, Mammen (Integrative Psychological and Behavioral Science, 50, 196–233, 2016a) brought novel arguments into the discussion concerning the importance of being able to single out and track objects through space and time. Mammen offered a formal account of two basic, yet distinct, ways in which we as human beings encounter objects in the real world, that is, sense and choice categories. In this paper I discuss aspects of his theory and in particular the Theorem of Correspondence. I shall attempt to argue that Mammen’s formal account is indeed a novel and powerful analytical generic tool allowing us to see the important relevance in different domains of being able to establish choice categories. Meanwhile, I will attempt to show that evidence from the so-called multiple object tracking studies -- even though these use highly artificial stimuli -- provide compelling evidence in support of Mammen’s formal account.     

Sub-national Fiscal Activity as a Determinant of Individual Happiness: Ideology Matters

Though there has been a recent outpouring of studies on the determinants of individual happiness, there remains a paucity of research on the influence of specific sub-national government policies. Additionally, theoretical expectations about how fiscal variables influence happiness are unclear, making further empirical research imperative. Combining survey data and aggregate information about state and local government revenue and expenditures within the United States, we draw inferences about whether or not such activities affect individual happiness. We find no indication that the overall level of state or local fiscal activity affects life satisfaction. However, we offer evidence that personal happiness could be increased with an increase in the percentage of sub-national expenditure devoted to public safety. We also find that there are notable differences across ideological groups (conservatives, moderates, and liberals) with respect to how much public safety influences happiness, as well as how some other fiscal variables influence happiness. We conclude that ideology mediates the impact of fiscal variables on life satisfaction.     

ALTSim: A MATLAB simulator for current associative learning theories

ALTSim is a MATLAB-based simulator of several associative learning models, including Pearce’s configural model, the extended configural model, the Rescorla-Wagner model, the unique cue hypothesis, the modified unique cue hypothesis, the replaced elements model, and Harris’s elemental model. It allows for specifying all relevant parameters, as well as exact stimulus sequences by graphical user interfaces. It is an easy-to-use tool that facilitates evaluating and comparing the featured associative learning models. ALTSim is available free of charge from www.staff.uni-marburg.de/~lachnit/ALTSim/.     

Darstellung der Aktenlage

Ohne Zusammenfassung     

Schemata, Hammers, and Time: Heidegger's Two Derivations of Judgment

In his Kant interpretations of the late 1920s and in Being and Time, Heidegger develops two distinct, yet related, derivations of the possibility of judgment from temporal conditions. This paper presents each derivation, establishes the strict analogy between the two, and uses it to explain the structure and shortcoming of the interpretation of ecstatic temporality as the unitary ground of objective experience. This revised version was published online in June 2006 with corrections to the Cover Date.