TELLab: Implicit Associations Data Project

TELLab: Implicit Associations Data Project

Jeremy Wilmer, Department of Psychology, Wellesley College

Core Aims:

This project has four core aims…

  • Develop a deep, intuitive and scientific understanding of a measurement tool that has long been at the center of public debates about implicit bias: the Implicit Association Test (IAT).
  • Experience the joys and challenges of producing new knowledge through science by designing, carrying out, and interpreting the results from your own novel research study.
  • Gain hands-on knowledge of the within-participants approach to answering scientific questions (where each participant experiences more than one condition… the other main type of research is between-participants research where different participants experience different conditions).
  • Learn how to process, summarize, and draw inferences from within-participants data via Excel and via a brand new web app.

Part 1 (of 3):

Congrats, you have already completed this part! You…

… wow, that’s very impressive work! Now on to Parts 2 and 3.

Note: For portions of Part 1, you worked with your IAT team. Parts 2 and 3 should be completed independently. You are, however, welcome to ask me questions any time.

Part 2 (of 3):


The “guided video tour” below consists of roughly 60 minutes of screenshot videos. This guided tour uses Excel and a brand new web data visualization app to demonstrate how to process, analyze, and visualize within-participant experimental research such as that produced by an IAT. Your task is to follow along, doing what the video does.

When you complete the video tour, send me, via Slack direct message:

(A) an Excel file that replicates the computations and visualizations from videos 2a, 2b, and 3.
(B) two pdf files from the web app that show, respectively, (1) response time summary scores with margin of error, and (2) error summary scores data with margin of error (see video 6).
(C) a paragraph that states what you conclude from our class women-men/leader-supporter IAT results (max 150 words).
(D) a paragraph that compares those results to the results shown in Figure 2 of the above-linked paper (max 150 words).

Guided video tour:

  • Review the structure of the women-men/leader-supporter IAT test you took (video 1, 5.5 min). Then, using our class data from that test…
  • Familiarize yourself with the data and with how the data corresponds to the test itself, and compute some simple statistics, using Excel (video 2a, 10 min & video 2b, 9.5 min).
  • Visualize the statistics you calculated, using Excel (video 3, 11 min) and a new web app (video 4, 5.5 min). (Note: since these videos were created, the data visualization apps they refer to have been overhauled to add many new features ... the latest apps are at!)
  • Draw inferences from our class data, using Excel (video 5, 10.5 min) and the new web app (video 6, 4.5 min)

Part 3 (of 3):

For Part 3, submit to me via Slack direct message…

(A) the same computations and visualizations as in A and B of Part 2 above, but this time do this for the data from your team’s IAT (data from all teams is pasted below, please analyze ONLY your own team’s data).
(B) a paragraph that states what you conclude from your team’s IAT and what limitations you see in the conclusions that can be drawn from these data (max 150 words).
(C) a paragraph that proposes a hypothetical next wave of data collection for the line of research that your team has initiated (max 150 words)... this next wave may, for example, address limitations in the present data, provide a useful comparison to the present data, or attempt to extend your team’s results to a related but distinct domain.