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Full-Text Articles in Statistical Models

Light Pollution Research Through Citizen Science, John Kanemoto Aug 2014

Light Pollution Research Through Citizen Science, John Kanemoto

STAR Program Research Presentations

Light pollution (LP) can disrupt and/or degrade the health of all living things, as well as, their environments. The goal of my research at the NOAO was to check the accuracy of the citizen science LP reporting systems entitled: Globe at Night (GaN), Dark Sky Meter (DSM), and Loss of the Night (LoN). On the GaN webpage, the darkness of the night sky (DotNS) is reported by selecting a magnitude chart. Each magnitude chart has a different density/number of stars around a specific constellation. The greater number of stars implies a darker night sky. Within the DSM iPhone application, a …


How Sexism Makes The Man: Examining The Relationship Between Masculinity, Ambivalent Sexism, And Gender Stereotyping, Mariah L. Wilkerson Jun 2014

How Sexism Makes The Man: Examining The Relationship Between Masculinity, Ambivalent Sexism, And Gender Stereotyping, Mariah L. Wilkerson

Lawrence University Honors Projects

Masculinity is a precarious social status, meaning it can be lost through social and gender transgressions (Bosson & Vandello, 2011). Men often act in stereotypically masculine ways to reassert their masculinity and restore their social status after it has been threatened. The current study also examines masculinity in a new way, as a collective gender identity (e.g., Tajfel, 1982). I hypothesized that threatened men and men who identify as more masculine will display masculinity through more polarized attitudes towards traditional and nontraditional groups of men and women, endorsing traditional gender stereotypes, and intensified ambivalently sexist attitudes. Two empirical studies tested …


Asymmetric Empirical Similarity, Joshua C. Teitelbaum Mar 2014

Asymmetric Empirical Similarity, Joshua C. Teitelbaum

Georgetown Law Faculty Publications and Other Works

The paper offers a formal model of analogical legal reasoning and takes the model to data. Under the model, the outcome of a new case is a weighted average of the outcomes of prior cases. The weights capture precedential influence and depend on fact similarity (distance in fact space) and precedential authority (position in the judicial hierarchy). The empirical analysis suggests that the model is a plausible model for the time series of U.S. maritime salvage cases. Moreover, the results evince that prior cases decided by inferior courts have less influence than prior cases decided by superior courts.


Relationships Between Elements Of Leslie Matrices And Future Growth Of The Population, Lorisha Lynn Riley Mar 2014

Relationships Between Elements Of Leslie Matrices And Future Growth Of The Population, Lorisha Lynn Riley

Honors Program Projects

Leslie matrices have been used for years to model and predict the growth of animal populations. Recently, general rules have been applied that can relatively easily determine whether an animal population will grow or decline. My mentor, Dr. Justin Brown and I examine, more specifically, whether there are relationships between certain elements of a population and the dominant eigenvalue, which determines growth. Not only do we consider the general 3x3 Leslie matrix, but also we looked into modified versions for incomplete data and migration models of Leslie matrices. We successfully found several connections within these cases; however, there is much …


Meta-Analysis Of Social-Personality Psychological Research, Blair T. Johnson, Alice H. Eagly Jan 2014

Meta-Analysis Of Social-Personality Psychological Research, Blair T. Johnson, Alice H. Eagly

CHIP Documents

This publication provides a contemporary treatment of the subject of meta-analysis in relation to social-personality psychology. Meta-analysis literally refers to the statistical pooling of the results of independent studies on a given subject, although in practice it refers as well to other steps of research synthesis, including defining the question under investigation, gathering all available research reports, coding of information about the studies and their effects, and interpretation/dissemination of results. Discussed as well are the hallmarks of high-quality meta-analyses.


Toward A Morphometric Phylogeny Of Caddo Ceramics: A Test Of 3d Geometric Morphometrics, Robert Z. Selden Jr., Timothy K. Perttula, Michael J. O'Brien Jan 2014

Toward A Morphometric Phylogeny Of Caddo Ceramics: A Test Of 3d Geometric Morphometrics, Robert Z. Selden Jr., Timothy K. Perttula, Michael J. O'Brien

CRHR: Archaeology

In this poster we use 3D geometric morphometrics as an exploratory tool for examining diversity in vessel form (or shape) among 27 whole or reconstructed Caddo vessels from the Vanderpool site in Smith County, Texas. Forty-one landmarks from each vessel were exported to version 2.5 of Morphologika for generalized Procrustes analysis and principal components analysis and were then exported to R for cluster analysis (depending on sample size). Despite the small sample size, results indicate that 3D geometric morphometric analysis is an avenue of ceramic research where substantive analytical gains can be realized.


Hierarchical Graphical Bayesian Models In Psychology, Guillermo Campitelli, Guillermo Macbeth Jan 2014

Hierarchical Graphical Bayesian Models In Psychology, Guillermo Campitelli, Guillermo Macbeth

Research outputs 2014 to 2021

The improvement of graphical methods in psychological research can promote their use and a better comprehension of their expressive power. The application of hierarchical Bayesian graphical models has recently become more frequent in psychological research. The aim of this contribution is to introduce suggestions for the improvement of hierarchical Bayesian graphical models in psychology. This novel set of suggestions stems from the description and comparison between two main approaches concerned with the use of plate notation and distribution pictograms. It is concluded that the combination of relevant aspects of both models might improve the use of powerful hierarchical Bayesian graphical …