1,721,206 research outputs found
The influence of the presence of deviant item score patterns on the power of a person-fit statistic
Full text linkStudies investigating the power of person-fit statistics
often assume that the item parameters that are used
to calculate the statistics are estimated in a sample without
misfitting item score patterns. However, in practical
test applications calibration samples likely will contain
such patterns. In the present study, the influence of the
type and the number of misfitting patterns in the calibration
sample on the detection rate of the ZU3 statistic was
investigated by means of simulated data. An increase in
the number of misfitting simulees resulted in a decrease
in the power of ZU3. Furthermore, the type of misfit and
the test length influenced the power of ZU3. The use of
an iterative procedure to remove the misfitting patterns
from the dataset was investigated. Results suggested that
this method can be used to improve the power of ZU3.
Index terms: aberrance detection, appropriateness measurement,
nonparametric item response theory, person
fit, person-fit statistic ZU3.Meijer, Rob R.. (1996). The influence of the presence of deviant item score patterns on the power of a person-fit statistic. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/119088
A method for investigating the intersection of item response functions in Mokken's nonparametric IRT model
No full textFor a set of k items having nonintersecting item
response functions (IRFs), the H coefficient
(Loevinger, 1948; Mokken, 1971) applied to a
transposed persons by items binary matrix Hт has
a non-negative value. Based on this result, a
method is proposed for using Hт to investigate
whether a set of IRFs intersect. Results from a
monte carlo study support the proposed use of Hт.
These results support the use of Hт as an extension
to Mokken’s nonparametric item response
theory approach. Index terms: double monotonicity,
Hт coefficient, intersection of item response functions,
item response theory, Mokken models, nonparametric
models.Sijtsma, Klaas; Meijer, Rob R.. (1992). A method for investigating the intersection of item response functions in Mokken's nonparametric IRT model. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/115642
Psychological and educational testing and decision-making: The lack of knowledge dissemination in textbooks and test guidelines
No full textWhen it comes to decision-making based on psychological and educational assessments, there is compelling evidence that statistical judgment is superior to holistic judgment. Yet, implementing this finding in practice has proven to be difficult for both academic and professional psychologists. Knowledge transfer from research findings to practitioners and other stakeholders in psychological assessment is a necessary condition to close this gap. To obtain insight into how academic specialists in psychological testing disseminate knowledge about research findings in this area, we investigated how textbooks on testing and guidelines on test use report on, or do not to report on, decision-making in psychological and educational assessment. Second, we discuss some commonly encountered misunderstandings, and third we argue for a broader and more in-depth dissemination of research findings on this topic in textbooks and test standards; to this end we provide some suggestions
Influence of Test and Person Characteristics on Nonparametric Appropriateness Measurement
No full textAppropriateness measurement in nonparametric item
response theory modeling is affected by the reliability of
the items, the test length, the type of aberrant response
behavior, and the percentage of aberrant persons in the
group. The percentage of simulees defined a priori as
aberrant responders that were detected increased when
the mean item reliability, the test length, and the ratio of
aberrant to nonaberrant simulees in the group increased.
Also, simulees "cheating" on the most difficult items
in a test were more easily detected than those "guessing"
on all items. Results were less stable across replications
as item reliability or test length decreased.
Results suggest that relatively short tests of at least 17
items can be used for person-fit analysis if the items
are sufficiently reliable. Index terms: aberrance detection,
appropriateness measurement, nonparametric
item response theory, person-fit, person-fit statistic U3.Meijer, Rob R.; Molenaar, lvo W.; Sijtsma, Klaas. (1994). Influence of Test and Person Characteristics on Nonparametric Appropriateness Measurement. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/120013
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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
Full text linkWe 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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