1,721,157 research outputs found
hyemin-han/BayesFactorFMRI: BayesFactorFMRI V1.0.0
No full textBayesFactorFMRI is a tool developed with R and Python to allow neuroimaging researchers to conduct Bayesian second-level analysis of fMRI data and Bayesian meta-analysis of fMRI images with multiprocessing. This tool was developed to expedite computationally intensive Bayesian fMRI analysis through multiprocessing. Its GUI allows researchers who are not experts in computer programming to feasibly perform Bayesian fMRI analysis. BayesFactorFMRI is available via or GitHub for download. It would be widely reused by neuroimaging researchers who intend to analyse their fMRI data with Bayesian analysis with better sensitivity compared with classical analysis while saving time by distributing analysis tasks into multiple processes.
Please refer to and cite these articles when you use BayesFactorFMRI:
Journal of Open Research Software paper. Bayesian multiple comparison correction: Han, H. (in press). Implementation of Bayesian multiple comparison correction in the second-level analysis of fMRI data: With pilot analyses of simulation and real fMRI datasets based on voxelwise inference. Cognitive Neuroscience, 11(3), 157-169. http://bit.ly/2S6Uka2 Bayesian meta-analysis: Han, H., & Park, J. (2019). Bayesian meta-analysis of fMRI image data. Cognitive Neuroscience, 10(2), 66-76. http://bit.ly/2RCbxZ
hyemin-han/BayesFMRI: The first release of BayesFMRI
No full textBayesFMRI is a tool developed with R and Python to allow neuroimaging researchers to conduct Bayesian second-level analysis of fMRI data and Bayesian meta-analysis of fMRI images with multiprocessing. This tool was developed to expedite computationally intensive Bayesian fMRI analysis through multiprocessing. Its GUI allows researchers who are not experts in computer programming to feasibly perform Bayesian fMRI analysis. BayesFMRI is available via or GitHub for download. It would be widely reused by neuroimaging researchers who intend to analyse their fMRI data with Bayesian analysis with better sensitivity compared with classical analysis while saving time by distributing analysis tasks into multiple processes.
Please refer to and cite these articles when you use BayesFMRI:
Bayesian multiple comparison correction: Han, H. (in press). Implementation of Bayesian multiple comparison correction in the second-level analysis of fMRI data: With pilot analyses of simulation and real fMRI datasets based on voxelwise inference. Cognitive Neuroscience. http://bit.ly/2S6Uka2
Bayesian meta-analysis: Han, H., & Park, J. (2019). Bayesian meta-analysis of fMRI image data. Cognitive Neuroscience, 10(2), 66-76. http://bit.ly/2RCbxZY
</ol
A method to explore the best mixed-effects model in a data-driven manner with multiprocessing: With applications in public health research
No full textIn the present study, I developed and tested an R module to explore best models within the context of multilevel modeling in research in public health. The module that I developed, explore.models, compare all possible candidate models generated from a set of candidate predictors with information criteria, Akaike Information Criterion and Bayesian Information Criterion, with multiprocessing. For testing, I ran explore.models with datasets analyzed in three previous studies in public health, which assumed candidate models with different degrees of model complexity. After conducting model exploration with explore.models, I calculated the model Bayes Factors of the nominated best models for validation. The results suggested that explore.models using AIC and BIC was able to nominate best candidate models that also demonstrated superior model Bayes Factors compared with competitors, the full models in particular. Also, by employing AIC and BIC with multiprocessing, explore.models required the shorter processing time compared with complete model Bayes Factor calculation. I discussed the implications of this R module for future research in the field
Using Measurement Alignment in Research on Adolescence Involving Multiple Groups: A Brief Tutorial with R
No full textMeasurement alignment adjusts factor loadings and intercepts across different groups to achieve measurement invariance, which assumes the equal measurement model validated across different groups. It should be achieved for validly conducting analysis and comparison in studies involving multiple groups, such as cross-cultural or cross-national studies. In this paper, I presented how to conduct measurement alignment with R. In addition to measurement alignment, I explained how to perform the Monte Carlo simulation to test the consistency and validity of alignment results and factor score calculation to facilitate further statistical analysis. A tutorial R code that implements all described procedures is freely shared via GitHub to inform readers who intend to use the alignment technique in their research projects
sj-docx-1-tre-10.1177_14778785241233541 – Supplemental material for Considerations for effective use of moral exemplars in education: Based on the self-determination theory and data syntheses
No full textSupplemental material, sj-docx-1-tre-10.1177_14778785241233541 for Considerations for effective use of moral exemplars in education: Based on the self-determination theory and data syntheses by Hyemin Han and Marja Graham in Theory and Research in Education</p
Supplemental material - Moral Identity Predicts the Development of Presence of Meaning During Emerging Adulthood
No full textSupplemental material for Moral Identity Predicts the Development of Presence of Meaning During Emerging Adulthood by Hyemin Han, Indrawati Liauw, and Ashley Floyd Kuntz in Emerging Adulthood</p
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
- …
