Multivariate Thinking in an Intro Stats Course – Is it Possible?

Many of our students have an intuitive sense that there is more to the story than univariate or bivariate data can tell us. We can acknowledge and encourage that habit of digging deeper by demonstrating some ways to look at additional variables. Simpson’s paradox and side-by-side scatter plots are ways to provide a glimpse of more complex analysis that are accessible to students in an introductory course with or without strong quantitative skills

ILR Faculty Publications 2003-04

The production of scholarly research continues to be one of the primary missions of the ILR School. During a typical academic year, ILR faculty members published or had accepted for publication over 25 books, edited volumes, and monographs, 170 articles and chapters in edited volumes, numerous book reviews. In addition, a large number of manuscripts were submitted for publication, presented at professional association meetings, or circulated in working paper form. Our faculty's research continues to find its way into the very best industrial relations, social science and statistics journals.Faculty_Publications_2003_04.pdf: 30 downloads, before Oct. 1, 2020

ILR Faculty Publications 2005-06

The production of scholarly research continues to be one of the primary missions of the ILR School. During a typical academic year, ILR faculty members published or had accepted for publication over 25 books, edited volumes, and monographs, 170 articles and chapters in edited volumes, numerous book reviews. In addition, a large number of manuscripts were submitted for publication, presented at professional association meetings, or circulated in working paper form. Our faculty's research continues to find its way into the very best industrial relations, social science and statistics journals.Faculty_Publications_2005_06.pdf: 38 downloads, before Oct. 1, 2020

Agony and ecstasy: teaching a computationally intensive introductory statistics course using Stata

In the last decade, a sea change has occurred in the organization of introductory statistics courses. The mantra of "more data, less lecture" is widely repeated while active learning opportunities receive increasing focus. At Smith College, a small liberal arts college, a number of introductory statistics courses are offered, with varying mathematical prerequisites. Stata is used as the computing environment for many of these courses. In all courses, students engage in the analysis of real-world example datasets, often taught in the form of mini case studies (using a set of lab materials developed at UCLA). For the more mathematically savvy students, introductory statistics concepts are introduced through simulation and other activities. While Stata serves as an easy to use environment for statistical analysis, there are areas where additional functionality would improve its use as a testbed for statistical investigation. In this talk, I will review the use of Stata for both of these purposes, and detail areas of strengths and potential improvements.

Effects of Growth Mindset Training on Undergraduate Statistics Students

Undergraduate introductory statistics courses have experienced numerous changes in the past century, for instance, increased enrollment and diversification of students required to take the courses. Promising research has been conducted on mathematical mindsets, however, no research is available for introductory statistics courses. This presentation addresses the effect of growth mindset training on students in mathematics

Women mathematicians in data-centric occupations (with a context)

Texas State University, Women Doing Math and Talk Math 2 Me Joint Statistics Semina

The effectiveness of intersection attack countermeasures for graphical passwords

Recognition-based graphical passwords are one of several proposed alternatives to alphanumerical passwords for user authentication. However, there has been limited work on the security of such schemes. Often authors state a possible attack combined with a proposed countermeasure, but the efficacy of the counter measure is not always quantitatively examined. One possible attack which has been discussed without this examination is an intersection attack. If we can establish which countermeasures for this attack are effective, this will provide insight which will make it possible to select the appropriate countermeasure for the level of security required by a given system. Our approach involved creating a simulation of intersection attacks using each of five possible counter measures. The number of attacks which had to be performed before success for each approach was noted and compared to a control where no counter measure was implemented. Our results show that for three of the five countermeasures there was a significant increase in the number of attacks before success, one showed a significant decrease and the other did not show any statistical significance. We show that it is not decisive that using dummy screens when an incorrect image is selected will increase the number of attacks required. We also show that increasing the number of challenge screens reduces the number of attacks required before success as the number of challenge screens approaches the size of the passimage set. Our results allow one to make a more reliable choice of countermeasure to reduce intersection attacks

ILR Faculty Publications 2007-08

The production of scholarly research continues to be one of the primary missions of the ILR School. During a typical academic year, ILR faculty members published or had accepted for publication over 25 books, edited volumes, and monographs, 170 articles and chapters in edited volumes, numerous book reviews. In addition, a large number of manuscripts were submitted for publication, presented at professional association meetings, or circulated in working paper form. Our faculty's research continues to find its way into the very best industrial relations, social science and statistics journals.Faculty_Publications_2007_08.pdf: 39 downloads, before Oct. 1, 2020