Current students

Paul Seli's thesis is entitled:  On the theoretical importance of distinguishing between intentional and unintentional types of Mind Wandering.

All are welcome to attend.

Randall Gillis's thesis is entitled: "The effect of inconsistent affective cues on children's judgments of speakers."

All are welcome to attend.

Angela Nyhout's thesis is entitled: "Imagining story spaces:  Young readers' ability to construct spatial representations of narrative."

All are welcome to attend.

Kaylena Ehgoetz Marten's thesis is entitled: "Understanding the influence of anxiety on gait in Parkinson's disease."

All are welcome to attend.

Zhaleh Semnani-Azad's thesis is entitled: "Reading Your Counterpart:  Culture, Meaning, and Function on Nonverbal Behaviour in Negotiation."

All are welcome to attend.

The First PSYCH39x Science Fair is being held on Monday April 6th between 2pm and 4pm in EV3 first floor (outside the cafe).  This event will feature project posters from the students of Paul Wehr and James Danckert’s sections of PSYCH398. 

 Everyone is welcome of course, but Faculty or Grad students interested in undergraduate research or potentially joining for future PSYCH39x science fairs are encouraged to join us.  

This year's Ziva Kunda Memorial Lecture Are Older Adults More Susceptible to Consumer Fraud? will be presented by Dr. Michael Ross.

Reception to follow in the PAS Lounge. 

The Ziva Kinda Memorial Lecture is presented annually by the Department of Psychology to honour the memory of Ziva as an outstanding scholar, friend and mentor who passed away in February 2004.

Data Wrangling in Organizational Science

The data organizational scientists work with are rapidly increasing in magnitude, velocity, and complexity. Data errors and analytic mistakes are, concomitantly, more likely.  To motivate the talk, recent high visibility data and data analysis mistakes will be highlighted. Then examples of large, complex data will be presented.  The remainder of the talk will focus on data 'best practices' emphasizing data fidelity testing, data cleaning, data scoring, and restructuring data into 'Tidy' form.