Summer 2018

APS Offers Complimentary Membership to New PhDs

Dear Colleague,

Give the gift of science to your department’s newly minted PhDs* with free APS membership through 2019. Your students insist on science every day, so they should be affiliated with the group that does the same. As a member, they will receive valuable benefits including:

  • Personal online-first access to all 6 of APS’s field-leading journals;
  • Exclusive weekly news and research roundups;
  • Member-only discounts for the APS Annual Convention and ICPS;
  • A subscription to Observer magazine;
  • And affiliation with the premiere international organization solely dedicated to the advancement of psychological science.

No gift will be more appreciated, and it couldn’t be easier to give. Just complete this short form or reply to this email by July 9th, 2018 with the names and email addresses for your new PhDs. We’ll do the rest. There is no obligation implied on the part of your institution, or any of your graduates by providing this info. It really is a “no-strings” offer. We’ll even extend a current membership through 2019 if the new PhD is already an APS Member.
If you have any questions, please let me know. I look forward to welcoming your newest PhDs as APS Members!


Sarah Brookhart
Executive Director

*Offer applies to graduates in winter 2017 or spring 2018.

Want to Learn R this Summer?

Two day R Workshop- June 21-22, 2018

Are you curious about using R for data analysis? Have you been thinking about making the switch to R, but don’t know where to start? This two-day workshop is the perfect quick start guide to analyzing your data with R. We will cover the fundamentals of data analysis in R with a special focus on translating your existing knowledge and skills from other software (e.g., SPSS) into R. The first day will introduce participants to the RStudio software and cover data management, descriptive statistics, and data exploration including graphical displays. Day 2 will cover familiar statistical analysis procedures including, but not limited to reliability tests, t-tests, chi-square tests, ANOVA, and linear regression. You will have time to work with your own data with the instructor present and optional homework will be provided.


This two-day workshop on Introduction to Data Analysis in R will be held at the University of Connecticut from TThursday, June 21, through Friday, June 22, 2018. The workshop focuses on converting your knowledge of data analysis in another software program—for example, SPSS—to R. All analyses, including data cleaning and visualization, will be done in R via the RStudio graphical interface. RStudio is rapidly becoming popular in many fields, mainly because it is free and therefore widely accessible. This feature makes it particularly helpful for teaching statistics because students will have access to the software at all times, and thus, will not need to go to a computing lab to complete assignments. No prior familiarity with R is required, we will be starting from the very beginning.

The goal of this workshop is to develop proficiency in R for data preparation and preliminary data analysis. We will build confidence in importing data from different sources into RStudio and getting that data ready for any advanced technique you might then employ. Among the topics to be covered are intro to the RStudio environment, packages, and RMarkdown, data manipulation, data visualization, correlations, reliability tests, basic inference tests, ANOVA, linear regression, Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), and more. Instruction on the specific statistics and statistical models will be minimal to zero. It is assumed that you already know how to do these analyses, but you want to see how to do them in R. If time permits, more instruction of the less well-known topics (e.g., EFA and CFA) will be given. See the schedule below for a complete list of topics.

Routines for completing specific data tasks, for example, filtering your data, live inside of R packages. In this workshop, you will be introduced to a set of packages which together are referred to as the tidyverse. They were written by the Chief Data Scientist for RStudio, Hadley Wickham, and there are even built in cheatsheets for these packages in RStudio. The tidyverse is rapidly gaining popularity due its ease of use, streamlined syntax, and powerful applications. Further, support is easily found for these packages in online community forums such as Stackoverflow. The open source computing nature of R offers both opportunities and challenges. There are currently over 10,000 packages freely available for you to use in R—many of which were written to do the exact same tasks! This overabundance of options for analyzing your data can feel like a bottomless pit, but learning the tidyverse offers a bounded experience for working with data in R.

Another important feature of this workshop is that we will use using RMarkdown for all analyses. RMarkdown is a file type, similar to an SPSS syntax file or R script, but it integrates code with written text. In this workshop you will be given all analysis code as RMarkdown files, complete with detailed text explanations, to which you can add your own notes for later. The main benefit of RMarkdown is that, ideally, writing about your analyses can now be seamlessly integrated with the code for your analyses. Further, entire APA style research reports can be written in RMarkdown where the numerical information is automatically generated within the text. Thus, RMarkdown allows for a fully reproducibility research report. On Day 2 of the workshop, some instruction will be given on how to write research reports using RMarkdown.

Participants are encouraged, but not required, to bring their own data so that they can apply these new R skills to their own data. There will be time at the end of each day to work with your own data while the instructor is present for questions/individual meetings. If you are attending a week-long DATIC workshop, it might also be good idea to bring two datasets, 1) a dataset you know very well—to convince yourself that R is doing what you expect, and 2) a dataset that you are preparing for one of the other DATIC workshops: Multilevel Modeling with R or Dyadic Data Analysis with R.

For more information, or to register, go to

For more information, contact: Betsy at

Mixture Modeling in R Workshop

There are still seats available for a three day course on mixture modeling, June 4-6, 2018. UCONN faculty and students may register for the course at a substantial discount. The cost of the three day workshop is $400 for UCONN students, postdocs, and faculty-  use the promo code UCONN when you register.  To register, go to . For more information about DATIC workshops, go to

Mixture Modeling (in R) 

Eric Loken

This 3-day mixture modeling workshop will survey techniques for exploring heterogeneous latent structure in data. We will begin by defining a variety of mixture models. The main focus will be on latent class analysis (LCA) and latent profile analysis (LPA), with applications in health and education. Additional models will include mixture regression models, mixture IRT, k-means clustering, and growth mixture models for longitudinal data. The course will emphasize hands-on work by participants, who will also be encouraged to make connections to their own data, learning to execute many of these models in R. Particular attention will be paid to issues that arise in applied settings including model assumptions, parameter estimation, and interpretation.

Science Communication Workshop Tuesday

The Graduate Organization: Molecular and Cell Biology (GO:MCB) is hosting a science communication workshop with Dr. Christine O’Connell.

Dr. O’Connell is is an Associate Director of the Alan Alda Center for Communicating Science, an Associate Professor of Science Communication at Stony Brook University, and a world-renowned leader in teaching science communication.

Join us for an interactive skill-building session where Dr. O’Connell will teach us how to engage non-scientific audiences with empathy and clarity.

When: Tuesday, May 22nd, 2:00 – 3:00 PM

Where: Biology/Physics Building, Room 130

Open to all students and faculty. Refreshments will be served.

For more information, contact: Andrea Suria at

Autism Diagnostic Observation Schedule, 2nd Ed (ADOS-2) Training


Learn how to administer the ADOS-2! The Autism Diagnostic Observation Schedule, 2nd Edition, (ADOS-2) is the revision of the original ADOS which was already considered the “the gold standard for assessing autism spectrum disorders (ASD). This 2-day training will teach you how to use the ADOS-2 to assess and diagnose autism. Dr. Elisabeth Sheridan, the Clinical director of the Center for Autism and the Developing Brain (CADB), part of New York-Presbyterian, will lead the two-day training. She will describe the ADOS-2 and demonstrate administration and scoring, operationalizing diagnostic criteria for ASD. You’ll also have the opportunity to practice scoring while observing the instructor administer the ADOS-2 to a child with ASD. All clinicians welcome (OT, PT, SLP, BCBA, Psych’s, SW, etc.) Continental breakfast and lunch will be served.

Date and Time

Thu, Jun 21, 2018, 8:00 AM – Fri, Jun 22, 2018, 4:30 PM EDT


City Pro Group

2105 Jerome Avenue

Bronx, NY 10454

More details and registration here:

Summer Data Science Fellowship Opportunity – R1

Program: The Data Incubator is an intensive 8 week fellowship that prepares masters students, PhDs, and postdocs in STEM and social science fields seeking industry careers as data scientists. The program is free for Fellows and supported by sponsorships from hundreds of employers across multiple industries. In response to the overwhelming interest in our earlier sessions, we will be holding another fellowship.

Who Should Apply: Anyone who has already obtained a masters or PhD degree or who is within one year of graduating with a masters or PhD is welcome to apply. Applications from international students are welcome. Everyone else is encouraged to sign-up for a future session.

Locations: In addition to the below in-person locations, we will have a remote online session:

  • New York City
  • San Francisco Bay Area
  • Seattle
  • Boston
  • Washington, DC.

Dates: All sections will be from 2018-06-18 to 2018-08-10.

Application Link:

Data Science in 30 minutes: Learn how to build a data-science project in our upcoming free Data Science in 30-minutes webcast. Signup soon as space is limited.

Learn More: You can learn about our fellows at The New York Times, LinkedIn, Amazon, Capital One, or Palantir. To read about our latest fellow alumni, check out our blog. To learn more about The Data Incubator, check us out on Venture Beat, The Next Web, or Harvard Business Review.

Postdoc, Cornell

2018 ICPSR Summer Program Scholarships

The ICPSR Summer Program offers several scholarships to support researchers interested in acquiring quantitative skills.

The following scholarships provide a registration fee waiver to our 2018 four-week sessions. Located on the University of Michigan campus, our four-week sessions are an immersive learning experience in quantitative research methods. Courses include introductory and advanced regression analysis, time series analysis, Bayesian analysis, rational choice theory, SEM, MLE, game theory, longitudinal analysis, multilevel modeling, social choice theory, and more.

• Clifford C. Clogg Scholarship: Open to students in Sociology
• Jerome M. Clubb Scholarship: Open to students in Quantitative History or related fields
• William G. Jacoby Scholarship: Open to students in Political Science
• Henry (Hank) Heitowit Scholarship: Open to students, instructors, faculty, or researchers regardless of specific substantive field or academic discipline who have previously attended the ICPSR Summer Program
• Eugene Owen Scholarship: Open to students, pre-tenure scholars, assistant professors, and advanced scientists from any academic discipline researching cross-national differences in education and teaching
• Warren E. Miller Scholarship: Open to students, pre-tenure scholars, and assistant professors researching electoral and political behavior, either in the U.S. or in a comparative context
• Saundra K. Schneider Scholarship: Open to students pursuing research in public administration, public policy, or public affairs
• Scholarship for Developmental, Child, & Family Psychology: Open to students pursuing research in child, developmental, and family psychology
• Scholarship for Education Research: Open to students pursuing research on education issues

Applicants must fill out the application form and upload the required materials through the ICPSR Summer Program’s scholarship application manager. The application deadline for all 2018 ICPSR scholarships is Saturday, March 31, 2018.

For a complete list of scholarships, visit the ICPSR Summer Program Scholarships page.