1,720,958 research outputs found
Latent Class Moderated Mediation in Structural Equation Models: Applications and Limitations
This simulation study examines the utility of latent class moderated mediation in structural equation modeling, specifically model selection when assumptions of measurement invariance are upheld and violated.
Submitted for partial fulfillment of the requirements of the Honors Program in Cognitive Studies, under the supervision of Dr. James H. Steiger.Latent class moderated mediation in structural equation models can describe individual differences in psychological processes across latent groups. This method could be most useful where two latent classes have indirect paths of equal magnitude, but opposite signs. Global model fit indices often failed to detect misfit when a one-class model was fit to data from a two-class population with latent class moderated mediation. Under this misfitted one-class model, significant indirect effects were rarely found, even with strong indirect effects in each subpopulation. Information criteria only reliably selected the correct number of classes with a strong population indirect effect and measurement invariance. Violations of assumed strong measurement invariance led to selecting more classes than in the population.
Thesis completed in partial fulfillment of the requirements of the Honors Program in Psychological Sciences.Peabody CollegeVanderbilt UniversityPsychology and Human Developmen
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
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
The Ordinal Count Factor Model: An Improved Latent Variable Model For Ordinal Count Items
Much of the measurement of human behaviors relies on the reporting of a rate of behavior. Common measures use items that ask participants to select between given intervals of counts—these items are called ordinal count items. I present the ordinal count factor model (OCFM) as a latent variable model for ordinal count item responses in a single population and across multiple groups. OCFMs represent the underlying latent response as a count, instead of the logistic or normal distribution used by current latent variable models for ordinal data. In addition to representing the data generating process more faithfully, OCFMs allow for inferences on the metric of the underlying rate of behavior. I evaluate the OCFM through two empirical examples using the Rutgers Alcohol Problem Index. These studies demonstrate that OCFMs may fit better than standard models, produce more precise factor scores, and may be fit using widely available, open-source software.Master of Art
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
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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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