V89.0046 - Lab in Human Cognition: Fall 16


Meeting time/place

Monday and Wednesday, 2pm – 3:50pm, 159 Meyer


A PDF of the syllabus.


This course provides hands-on experience with the standard experimental tools used in cognitive psychology research. Students run experiments, collect and analyze data, write research reports, and design and run a new experiment as a final project. Additionally, students read and analyze research papers that use complex and expensive experimental methods that cannot be directly explored in the classroom. Content areas include memory, categorization, attention, learning, automaticity, and visual perception. Lectures introduce new skills that apply not only in analyzing, communicating, and presenting scientific work, but more broadly how to effectively communicate complex scientific ideas. The course culminates in an intensive final project involving the design and analysis of a novel experiment.


Todd M. Gureckis
email: todd.gureckis@nyu.edu
website: here, lab
office: 859
office hours: after class or by appt.

Teaching Assistant

Shasha Lin
email: sl4964@nyu.edu
office: 411 Lafayette, Room 346
office hours: Monday 12-1pm


There is no textbook for this course. However, the following may come in handy in writing your reports: Publication Manual of the American Psychological Association (5th ed.). (2001). Washington, DC:American Psychological Association. No readings from this book will be assigned, and much of the content, is available on-line via judicious Google searches. There will be other readings made available as PDF files or handouts in class.

Course Announcements

9.1.2012 - This is where course announcements will appear. Please check back often.

Schedule (with links to slides)

Date Description Slides/Handouts
Sept. 7

Introductions, Why Study Human Cognition?

[reading 1]
[why R?]
Sept. 12

What make a good (or bad) Experiment? Designing experiments to test hypothesis. Basics of experiment design.

Sept. 14

More on design of experiments, factorial designs, interpreting factorial designs, randomization and counterbalancing. Randomization.

[reading 2]
Sept. 19

Replication initiatives in psychology. Online data collection methods (Mechanical Turk, etc...)

[reading 3]
Sept. 21

No class

Sept. 26

A gentle introduction to data analysis and statistics in Excel

[stats exercise]
Sept. 28

A gentle introduction to data analysis and statistics in Excel (continued)

[stats exercise]
Oct. 3

Experiment 1 data collection

[read 1]
Oct. 5

Experiment 1 data analysis Communicating Results (basic introduction to APA styled papers)

[lab 1 stimuli]
[quiz 1]
[lab 1 data]
Oct. 10

Experiment 1 data analysis

Oct. 12

Experiment 1 Data Analysis What makes a good figure? Creating accurate and informative figures. Error bars and how to (mis)use and (mis)interpret them.

[lab 1]
[apa guide]
[example] [examples]
Oct. 17

Writing APA-styled research papers.

Oct. 19

Writing APA-styled research papers.

Oct. 24

Planning experiments - Power analyses, samples sizes

Oct. 26

Experiment 2 data collection, final Lab 1 discussion.

[apa style central (works until monday)] [L2 Reading 1]
[L2 Reading 2] [lab 2 workbook]
Oct. 31

Experiment 2 data analysis

[exp 2 slides]
Nov. 2

Experiment 2 data analysis

[R tutorial]
Nov. 7

Experiment 2 data analysis

dpylr intro
Nov. 9

**Lab report 2 due Nov. 18th** Experiment 3 data analysis - Regression and multiple regression

[lab 3 directions]
Nov. 14

Experiment 3

[exp 2 desc]
Nov. 16

Experiment 3 data analysis

Nov. 21

Lab 3 final analysis steps, Final project time

Nov. 23

No class, Thanksgiving break

Nov. 28

Final project time **Lab report 2 due Nov. 18th**

Nov. 30

Final project time

Dec. 5

How to give a good scientific talk/Final project time

Dec. 7

Final project time

Dec. 12

Final project time **Lab report 3 due today, Dec. 7th**

Dec. 14

Final project time

Dec. 19

Mini-conference (final paper due 2pm)

[Mini-conference notes]