BCSC 206: Lecture Schedule

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Week
Date
Monday
Date
Wednesday
Notes and to do
1
 
 
08/26
CFR
General workflow for the rest of the semester. IRB. Ground rules (C).
Introduction: What is science? Hypothesis Testing (R)
Project assignments
By Fri: Contact mentor to set up weekly meeting
2
08/31
Wrap up our discussion on scientific methods
Dr. DeAngelis research
09/02
Dr. Mitchell research
Florian research and replication project
Fri: Find weekly time for project group work
3
09/07
Labor Day: No Class
09/09
C
How to present your research (C)
Fri: Get CITI certification number and be added to an experimental protocol
4
09/14
CF
Present Target Study Hypothesis & Finding 1
09/16
CF
Present Target Study Hypothesis & Finding 2
Mon/Wed: R will send out an assignment (a short summary of research questions and hypothesis for each target paper) due before class
5
09/21
FR
Present Brief Background of Target Study Hypothesis 1 (3-5 Articles)
09/23
FR
Present Brief Background of Target Study Hypothesis 2 (3-5 Articles)
Fri: 1st writing assignment (a short summary of research questions and hypothesis) due
6
09/28
C
Experiment design
discussion: paper assigned, identify design parts
09/30
FR
Replicability and reproducibility (crisis?)
 
7
10/05
CF
Present Experimental Design of Target Study (Conditions, timing, num trials, subjects) and Study Checklist (Work flow plan, Skills needed, IRB) 1
10/07
CR
Present Experimental Design of Target Study (Conditions, timing, num trials, subjects) and Study Checklist (Work flow plan, Skills needed, IRB) 2
Assignment for the workshop on 10/16 given
8
10/12
Fall Break
10/14
C
Academic writing workshop: Methods section
Whitney Gegg-Harrison
 
9
10/19
FR
Team communication and organization (notes, files, code, workflow)
10/21
FR
Each group presents data format plus figure to be replicated
Fri: Second writing assignment (Methods) due
10
10/26
CF
Progress update
10/28
CR
Progress update
Send your own data to Florian by the end of the week
11
11/02
FR
Data wrangling + simple visualization (Split by R/Matlab)
Students will receive datasets and conduct data visualization and basic analyses
11/04
FR
Data wrangling + simple visualization (Split by R/Matlab)
Fri: Second writing assignment revision (optional) due
12
11/09
FR
Data curation + Confidence interval (joint)
11/11
FR
Data visualization II (split by R/Matlab)
 
13
11/16
CF
Progress update: preliminary analyses and graphs 1
11/18
CR
Progress update: preliminary analyses and graphs 2
 
14
11/23
C
Academic writing workshop: Results
Whitney Gegg-Harrison
11/25
FR
In class work-time
Fri: Third writing assignment (results) due
15
11/30
CF
Final progress update/Dry-run for the class presentation
12/02
CR
Final progress update/Dry-run for the class presentation
 
16
12/07
CFR
Final class presentation
12/09
CFR
Final class presentation
Final essay due at 6pm on 12/20

Readings & Assignments

8/26 Scientific method & hypothesis testing
Wikipedia: Scientific Method
Assignment: What is "the scientific method"? What are hypotheses? How can they be tested?
Optional Advanced Reading:
Wagenmakers 2007
Bayesian primer
8/31 - 9/7 Project assignments; PI presentations, (IRB approval process)
Complete the CITI certification course (the minimal risk research module)
Submit your ID to your mentor/lab coordinator so you will be added to their experimental protocol.
Assignment: Read all the target papers and write down at least 2 questions that you want to ask during the class discussion. After the class, read your assigned paper in detail and spend 30min on background research.
9/09 Presentation Skills
watch the YouTube video: "Happy secret to better work" by Shawn Achor
Take a look at student presentation examples
9/14 – 9/16 Target Study, Research questions and hypothesis
Assignment: Read assigned papers carefully and write down their hypotheses and how they tested them. When it's your turn to present, prepare notes and slides
9/21 - 9/23 Background of target study
Assignment: Read 3-5 papers related to your target paper and be prepared to summarize them and present them
9/28 Experiment Design
Discussion Article:
Green, C. S., & Bavelier, D. (2003). Action video game modifies visual selective attention. Nature, 423(6939), 534-537.
Also useful to read:
Levitin, D. J. (2002). Foundations of Cognitive Psychology: Core readings. Chapter 6: Experimental Design in Psychological Research, pp. 115 - 126. Cambridge: MIT Press.
Shepard, R. N., & Metzler, J. (1971). Mental Rotation of Three-Dimensional Objects. Science, 171, 701-703.
Assignment: Identify the independent variables and levels, dependent variables, and within- and between-subjects factors
09/30 Replicability, Reproducibility, and Replication crisis in Psychology
Assignment: Think about factors contributing to the systematic non-replicability of many studies. What actions can be taken to overcome this problem?
The 9 Circles of Scientific Hell
Ioannidis, J. P. a. (2005). Why most published research findings are false. PLoS Med, 2(8), e124.
Pashler, H., & Harris, C. (2012). Is the replicability crisis overblown? Three arguments examined. Perspectives on Psychological Science, 7(6), 531–536. doi:10.1177/1745691612463401
Optional Advanced Reading:
Pashler, H., & Wagenmakers, E. J. (2012). Editors' introduction to the special section on replicability in psychological science: A crisis of confidence? Perspectives on Psychological Science, 7(6), 528–530.
Brandt, M. J., Ijzerman, H., Dijksterhuis, A., Farach, F. J., Geller, J., Giner-Sorolla, R., … van 't Veer, A. (2014). The Replication Recipe: What makes for a convincing replication? Journal of Experimental Social Psychology, 50(1), 217–224. doi:10.1016/j.jesp.2013.10.005
Button, K. S., Ioannidis, J. P. a., Mokrysz, C., Nosek, B. a., Flint, J., Robinson, E. S. J., & Munafò, M. R. (2013). Power failure: why small sample size undermines the reliability of neuroscience. Nature Reviews Neuroscience, 14(May). doi:10.1038/nrn3475
10/5 - 10/7 Experimental paradigms used in the target projects
Assignment: Be prepared to present (and answer questions about) the design and methods of your target study. Go back to all the target papers and understand the basic experimental design/methods and why they were chosen (over other alternatives)
Optional discussion topic: Preregistration
Which parts of each study could have been preregistered? Should preregistration be required for all research? In what ways is a preregistered study more valuable than a non-preregistered study?

Psychologists Call for Preregistration Open Letter to The Guardian
Why Psychology Needs Preregistration by Dorothy Bishop
How to Preregister a Study by Chris Chambers
10/14 Academic Writing Workshop (Methods)
Assignment: TBD
10/19 Team communication and organization (notes, files, codes)
Assignment: TBD
10/21 Data format plus figures
Assignment: Ask your PI to gain access to a raw data format (a record of your subjects' responses). Choose one figure in your target paper and understand the flow between the raw data format and the final visualization. What is plotted in the figure? What kinds of computation is necessary?
10/24 Understanding Data and Results (confidence intervals and statistical significance)
Assignment: TBD
Wallis papers + examples
Understanding p-values: Wagenmakers 2007
10/26-10/28 Progress Updates (present your pilot data)
Assignment: Be prepared to talk about current states of your projects. Ask questions to solicit feedback from the instructors and peers.
11/2-11/4 Data Wrangling and Visualization, Introduction to Matlab & R
Assignment: Install R and R studio on your laptop
Matlab. You will receive datasets to work with.
Checking Data
Descriptive Statistics
What are Outliers
Detecting Outliers
Dealing with Missing Data
Blog Comparison of Database Software
11/9 - 11/11 Data Curation, Visualization, and Understanding
Assignment: TBD. We will continue from where we left off in the previous week. We aim to learn how to plot your actual data and read graphs in papers. What's a confidence interval? Why is it important?
11/16 - 11/18 Progress Updates, Working with Data Output
Ten simple rules for better figures
Beyond bar and line graphs
11/23 Academic Writing Workshop (Results)
Assignment: TBD
Optional reading materials
A Brief Guide to Writing a Psychology Paper -- from Harvard University
Sternberg, R.J (1993). How to win acceptances by psychology journals: 21 tips for better writing. APS Observer 5, 12-14.
How to Publish a Replication in Perspectives in Psychological Science
11/25 In-class worktime (Bring your questions and discuss them with the instructors)
11/30 -12/2 Final Progress Updates, Final Presentation Dry-runs
12/9 -12/11 Final Presentations