1,720,957 research outputs found
A Reference-Dependent Utility Model of Attraction and Compromise Effects_Study 1
Data set for reference dependence of context effects (Study 1).
Participants were told to imagine that they would be making product choices across several categories. The order in which they saw the four product categories was randomized. For purposes of illustration, we use the lawn mower category here. Participants were told that they were looking to buy a lawn mower, and were about to choose between two (or among three) options. They were also told that these options differed mainly on the two attributes presented and were otherwise similar on other relevant attributes. Participants were then asked to choose one of the lawn mowers. They repeated the choice task for the remaining three product categories. They then indicated their gender and age, followed by whether (a) they responded randomly at any point during the study, and (b) they read the instructions.
The data was gathered from Amazon MTurkers in August 2019
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Temporal distance moderates description dependence of subjective probability
Abstract Probability judgment is description-dependent; different descriptions of the same event can elicit different judged probabilities. We propose that the temporal proximity of an event moderates the degree of description dependence in probability judgment. According to construal level theory, near future events are represented more concretely than distant future events. These more concrete representations are predicted to be more stable, and therefore less susceptible to description dependence effects. Consistent with this prediction, changing an event's description by unpacking it into constituent parts influenced its judged probability more when the event took place in the distant rather than the near future. Specifically, greater description dependence was found for distant events regardless of whether the unpacking manipulation increased (Experiment 1) or decreased (Experiment 2) judged probability
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
To neglect or to consider? Opportunity cost consideration during product sampling can accelerate satiation
Sampling provides limited experience with an offering to promote its purchase,
either now or later. Sampling involves an ongoing choice about whether to buy the
sampled option. We propose that ongoing choice feels more like a choice when
people consider opportunity costs. Consequently, we predict that opportunity cost
consideration will accentuate the impact of ongoing choosing on enjoyment over time
of the sampled option (i.e., a slope effect). It follows that when ongoing decision
evolves toward not choosing the sampled option today, its negative impact on
enjoyment should become more pronounced when people consider their opportunity costs, decreasing overall enjoyment. Studies 1, 2, and 3 provided support for this
key prediction. Studies 4 and 5 showed that when the best alternative use of a
resource people considered was more attractive, they experienced accelerated
satiation from an unchosen sampled option. While previous research showed that
opportunity cost consideration accentuated the impact of one‐time choice on
evaluation (i.e., intercept effect), we showed that it accentuated the impact of
ongoing choice on enjoyment over time (i.e., slope effect). We also contribute to the
understanding of the factors that increase overall enjoyment of a sampling
experience, which should influence future purchase likelihood
Preference, projection, and packing: Support theory models of judgments of others’ preferences
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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