1,720,959 research outputs found
Discriminability in multidimensional performance evaluations
No full textA series of behavioral expectation scale (BES)
applications were analyzed in an attempt to point
out an appropriate number of dimensions to be included
in such studies. Data from 4 independent
samples, representing 3 different occupations, and
incorporating a total of 436 multidimensional
evaluations were subjected to factor analysis. Results
reflected the lack of unique information contributed
when the number of dimensions exceeds 9.
The problem of lack of dimension independence
was discussed in terms of theory and application to
multidimensional performance evaluation. Suggestions
are advanced for limiting the number of
dimensions as a potential solution to information
redundancy.Kafry, Ditsa; Jacobs, Rick; Zedeck, Sheldon. (1979). Discriminability in multidimensional performance evaluations. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/99578
Use of individually scaled versus normatively scaled predictor cues in policy-capturing research
No full textCurrent policy-capturing models scale the levels of
the predictor cues on the basis of normative data collected
on a group of subjects. Two studies were conducted
to determine whether the performance of these
models would be improved by scaling cue values individually
for each decision maker. The results of these
studies confirmed the hypothesis that the scaling of
stimulus cues for each decision maker results in a
judgment model that is much more successful in reproducing
the decision maker’s responses than models
employing the same cue scales for all decision makers.
Additionally, it was found that the relative performances
of models based on regression weights and
those models that employ weights generated by the
subject are heavily dependent on methodological variables.
It is concluded that if there is to be an understanding
of the way people utilize information, not
only must there be concern about variable weighting,
but there must also be consideration of the subjective
experience the individual decision maker has with respect
to the levels of each variable.Cotton, Bill; Jacobs, Rick; Grogan, Janet. (1983). Use of individually scaled versus normatively scaled predictor cues in policy-capturing research. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/101636
A comparison of the accuracy of four methods for clustering jobs
No full textFour methods of cluster analysis were examined
for their accuracy in clustering simulated job
analytic data. The methods included hierarchical
mode analysis, Ward’s method, k-means method
from a random start, and k-means based on the results
of Ward’s method. Thirty data sets, which differed
according to number of jobs, number of
population clusters, number of job dimensions, degree
of cluster separation, and size of population
clusters, were generated using a monte carlo technique.
The results from each of the four methods
were then compared to actual classifications. The
performance of hierarchical mode analysis was significantly
poorer than that of the other three
methods. Correlations were computed to determine
the effects of the five data set variables on the accuracy
of each method. From an applied perspective,
these relationships indicate which method is
most appropriate for a given data set. These results
are discussed in the context of certain limitations of
this investigation. Suggestions are also made regarding
future directions for cluster analysis research.Zimmerman, Ray; Jacobs, Rick; Farr, James L.. (1982). A comparison of the accuracy of four methods for clustering jobs. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/101541
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Variations on the Author
Get PDF“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
Get PDFWe 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
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe 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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