CAUSE

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Request for Help with Data Collection for Statistics Education Dissertation Survey

by LAURA BURGHARD

Greetings, My name is Jason Dolor, and I am a doctoral student at Portland State University. I am conducting a study on the understanding of concepts related to statistical inference for my doctoral dissertation. I was hoping you could help in my data collection process by forwarding this e-mail to your Graduate Teaching Assistants in your mathematics/statistics department. The purpose of my research is to investigate current and future teachers’ understanding of concepts related to hypothesis testing. The research study hopes to better understand the knowledge of teachers of statistics with potential benefits towards improving professional development programs. One of the populations that I plan to study is Graduate Teaching Assistants in Mathematics and Statistics programs at various universities in the United States who are currently teaching or could potentially teach introductory statistics courses. Below is a link to an online survey tool through the Qualtrics website with more information about the study. Those people who consent to participate in the survey will be given an opportunity to be part of a drawing for one of four Amazon $50 gift cards which will be awarded to winners after all surveys have been collected. The survey should take approximately 20-30 minutes. For those who wish to participate, please click on the link below which will direct participants to a consent form with more information about the study and the online survey. The closing date for the survey is scheduled for March 14 , 2016. https://portlandstate.qualtrics.com//SE/?SID=SV_1F833RiyRED7O0B I know it is quite a busy time in the term and I want to personally thank you for taking the time to read this e-mail. If you have any further questions, please feel free to contact me. Once again, thank you in advance for your help and participation. Sincerely, Jason Dolor E-mail: jdolor(a)pdx.edu Doctoral Candidate Department of Mathematics and Statistics Portland State University

8 years, 3 months

"Feedback sought on draft of the updated GAISE College Report"

by LAURA BURGHARD

Dear Colleagues, The GAISE (Guidelines for Assessment and Instruction in Statistics Education) committee appointed by the American Statistical Association is pleased to release a draft of its report, which provides an update of the recommendations for teaching introductory statistics in the 2005 GAISE College Report. This committee has been working for 1.5 years and has previously requested input through multiple means, including webinars and conference presentations. We now invite you to read the draft report and provide feedback on its content and conceptual framework. The draft report can be found at: www.amstat.org/education/gaise/collegeupdate . Feedback can be provided through an online survey at: https://www.surveymonkey.com/r/GAISEUpdate . You may also provide input directly to one of the committee co-chairs, Michelle Everson, at everson.50(a)osu.edu or Megan Mocko at mmeece(a)stat.ufl.edu. Feedback received by March 31 , 2016 will help the committee to produce its final report for consideration by the ASA Board of Directors. Thank you for taking the time to provide feedback! Sincerely, Michelle Everson Dr. Michelle Everson Department of Statistics The Ohio State University 415 Cockins Hall 1958 Neil Avenue Columbus, OH 43210 614-292-3593 everson.50(a)osu.edu

8 years, 3 months

Nominations for Causality in Statistics Education Award - deadline extended to March 1.

by LAURA BURGHARD

Nominations are now being accepted for the Causality in Statistics Education Award The Causality in Statistics Education Award is aimed at encouraging the teaching of basic causal inference in introductory statistics courses. Originally donated by Judea Pearl and now sponsored by Microsoft Research and Google, the prize is motivated by the growing importance of introducing core elements of causal inference into undergraduate and lower-division graduate classes in statistics. For more information, please see www.amstat.org/education/causalityprize . Nominations and questions should be sent to the ASA office at educinfo(a)amstat.org. The nomination deadline is March 1 , 2016.

8 years, 3 months

New Assessment Measuring Students’ Statistical Literacy and Reasoning.

by LAURA BURGHARD

Dear Instructor, I am writing to request your assistance in helping me recruit introductory statistics students (at either the undergraduate or graduate level) to take part in the field-testing of an assessment tool designed to measure important statistical literacy and statistical reasoning learning outcomes of introductory statistics courses. This field-testing is part of my dissertation research, under the supervision of my advisers, Joan Garfield and Andrew Zieffler at the University of Minnesota. The assessment is composed of 40 multiple-choice items assessing topics such as representations of data; measures of center and variability; study design; hypothesis testing and p -value; probability; and bivariate data and accommodates a wide variety of introductory statistics curricula. Students should be able to complete the assessment in less than an hour. The instrument is administered online. Other than asking that students work independently to complete the assessment, there are no other constraints on the administration (e.g., it could be completed in-class or outside of class). To increase student participation and effort when completing the assessment, you may want to provide credit or extra credit to your students. To incentivize you to recruit students, if your students complete the assessment, I will provide you with summary data describing your students’ performance. I will also provide a pooled summary of performance across all participating institutions. Ideally, I would like you to administer the instrument to your students by May 2 nd . If this will not be possible, please let me know, and I can work with you to find a time that works. Students should have the opportunity to learn the concepts before taking the assessment, so I ask that you please administer the assessment close to end of the course. If you are interested, please contact me at sabb0013(a)umn.edu with the following information: - Institution name; - Course name; - Number of sections; - Number of students in each section; - Short description of the curriculum (normal/t-distribution methods; resampling/simulation methods; etc). I sincerely hope that you will be able to help during this phase of my study, and I thank you for your consideration. Sincerely, Anelise G. Sabbag Doctoral Candidate Department of Educational Psychology University of Minnesota

8 years, 3 months

Reminder: eCOTS proposals due February 1st

by LAURA BURGHARD

Hi all, Don't forget to submit your eCOTS proposal by February 1st ! The Electronic Conference on Teaching Statistics (eCOTS), will be held online May 16 -20th, 2016, and we are currently accepting proposals for breakout sessions, virtual posters, and birds-of-a-feather discussions. For more details, see https://www.causeweb.org/ecots/ecots16/proposals/ . It would be great to see more submissions! Best, Kari Lock Morgan eCOTS 2016 Program Chair

8 years, 3 months

Co-editors Manfred Borovcnik and Maxine Pfannkuch are pleased to announce the publication

by LAURA BURGHARD

Co-editors Manfred Borovcnik and Maxine Pfannkuch are pleased to announce the publication of a new issue of the Statistics Education Research Journal (SERJ). Volume 14 Number 2, November 2015 Editorial (and front matter) http://iase-web.org/documents/SERJ/SERJ14(2)_Editorial.pdf Students’ Reasoning about p-Values Birgit C. Aquilonius and Mary E. Brenner http://iase-web.org/documents/SERJ/SERJ14(2)_Aquilonius.pdf Virtualising the Quantitative Research Methods Course: An Island-based Approach James Baglin, John Reece, and Jenalle Baker http://iase-web.org/documents/SERJ/SERJ14(2)_Baglin.pdf Statistics Anxiety and Worry: The Roles of Worry Beliefs, Negative Problem Orientation, and Cognitive Avoidance Amanda S. Williams http://iase-web.org/documents/SERJ/SERJ14(2)_Williams.pdf Calibration of Self-efficacy for Conducting a Chi-squared Test of Independence Whitney A. Zimmerman and Deborah D. Goins http://iase-web.org/documents/SERJ/SERJ14(2)_Zimmerman.pdf Assessing Learning Outcomes: An Analysis of the GOALS-2 Instrument Anelise G. Sabbag and Andrew Zieffler http://iase-web.org/documents/SERJ/SERJ14(2)_Sabbag.pdf Conferences http://iase-web.org/documents/SERJ/SERJ14(2)_Conferences.pdf SERJ Referees http://iase-web.org/documents/SERJ/SERJ14(2)_Referees.pdf Please visit the main SERJ page at http://iase-web.org/Publications.php?p=SERJ for information about submitting manuscripts for review, and to access past issues. We apologize if you receive duplicate copies of this announcement or if you received it in error. ***************************************************************************

8 years, 5 months

Fw: new message

by cslimer＠ncsu.edu

Hello! New message, please read <http://sharkbaratl.com/across.php?92> cslimer(a)ncsu.edu

8 years, 5 months

Testing

by Bob Carey

Please ignore.

8 years, 5 months

Fw: new message

by mli9＠ncsu.edu

Hello! New message, please read <http://bancanhogiaiviet.com/general.php?j> mli9(a)ncsu.edu

8 years, 6 months

Seventh annual undergraduate statistics project competition now open!

by LAURA BURGHARD

CAUSE (Consortium for the Advancement of Undergraduate Statistics Education) and the American Statistical Association are happy to announce the seventh annual undergraduate statistics project competition (USPROC). Project submission for the May 31, 2016 deadline is now open! Cash prizes and an invitation to give a plenary talk at the annual electronic undergraduate statistics conference for all winners. Learn more here: www.causeweb.org/usproc Think about your students this semester in all levels of statistics courses, as well as summer and independent research students. Competition tracks for all student levels are available. The purpose of USPROC is to encourage the development of data analysis skills, to enhance presentation skills, and to recognize outstanding work by undergraduate statistics students. There are two main categories for submissions to the competition. * Undergraduate Statistics Class Project Competition ( USCLAP ): This competition is for undergraduate students who are taking an applied statistics course(s) at introductory, or intermediate levels, in which a class project is part of the course work (either required or optional). * Undergraduate Statistics Research Project Competition ( USRESP ): This competition is for undergraduate students who conduct research projects that are statistically related, either methodological or applied. The types of research projects may include research work from REU research projects, senior capstone research projects, or independent research projects that are not based on a specific course that students are taking. Save the date of October 21, 2016 for the second annual electronic undergraduate statistics conference where winners will present and all students will have the opportunity to give an e- poster about their project.

8 years, 6 months

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