Fordham University            The Jesuit University of New York
 



Graduate Student Profiles

This is a partial list of students currently enrolled in the Psychometrics Program.  For complete enrollment statistics please vist the Psychometric GSAS admission statistic page

Note: LinkedIn and Acedemia.edu accounts are external Web sites and not affiliated with Fordham University; the psychology department does not maintain and in no way controls or assumes responsibility for content posted on these resources.

Daniel Benjamin
Mentor: Dr. David Budescu
E-mail: dbenjamin3@fordham.edu
Master's Thesis Topic: Does mode of learning affect how advice is given and received?

Yuanchao Bo
Mentor: Dr. David Budescu
E-mail: ybo@fordham.edu 
Master's Thesis Topic: Analyzing Test-Taking Behavior: Prospect Theory Meets Psychometric Theory

Jennifer Lord-Bessen
Mentor: Dr. Se-Kang Kim
E-mail: jlord2@fordham.edu

James Marcus
Mentor: Dr. David Budescu
E-mail: jmarcus1@fordham.edu
Doctoral Thesis Topic: Visual Communication of Uncertainty in Continuous Distributions

Min-Kyung Park
Mentor: Dr. Charles Lewis
E-mail: mipark@fordham.edu

Han-Hui Por
Mentor: Dr. David Budescu
E-mail: hpor@fordham.edu
Master's Thesis Topic: Revisiting the Gain-Loss Separability Assumption in Prospect Theory A fundamental assumption of prospect theory is gain-loss separability (GLS)-the assertion that the overall utility of a prospect can be expressed as a function of the utilities of its positive and negative components. Violations of GLS may potentially limit the generalization of results from studies of single-domain prospects to mixed prospects and systematically distort the predictions of the theory. In this paper, I compare the extent and nature of GLS violations under the two elicitation methods using between-subject and within-subject analyses and discuss the psychological mechanisms underlying the findings and the implications for presenting information with gain and loss components.
Doctoral Thesis Topic: Improving the Elicitation of Subjective Probabilities for Joint and Conditional Events Decision models and risk analysis often heavily rely on proper elicitation of subjective probabilities such as in the estimation of prior distributions in Bayesian analysis
LinkedIn public profile: Link
External We Site: Link
Classes Taught: Introduction to Statistics (Graduate Lab), Advanced Multivariate Statistical Analysis (Graduate Lab)

Joe Grochowalski

Mentor: Dr. Se-Kang Kim
E-mail: jgrochowalsk@fordham.edu
Master's Thesis Topic: Exploratory DIF Detection in Polytomous Items Using Correspondence Analysis 
Classes Taught: PSYC 2000 - Statistics (lab), PSYC 2010 - Research Methods (lab), PSYC 6802 - Introduction to Psychological Statistics (lab), PSYC 7804 - Regression (lab)
 
 

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