PSYC 5316: Advanced Quantitative Methods & Experimental Design

• Professor: Thomas J. Faulkenberry, Ph.D
• Office: Math 301
• Office hours: TBA
• Email: faulkenberry@tarleton.edu
• Website: http://tomfaulkenberry.github.io
• Phone: 254-968-9816

This course is designed to teach you the advanced quantitative methods and techniques of experimental design that are necessary to read and conduct modern empirical research in the behavioral sciences. We will do this through replicating three classic experiments, each illustrating a unique experimental design and technique for data analysis. Students taking this course are expected to have previously taken a graduate level course in statistics (or equivalent statistical training).

Some of the specific skills you'll learn this semester are:

• using a computer to program behavioral experiments and collect response time data
• efficiently pre-processing raw data and implement sophisticated statistical models using R
• writing technical manuscripts to report results of experiments

There is no required textbook for the course. However, I recommend you have access to a good statistics textbook (mine is cheap). In addition, you'll need to have access to a computer (laptop is best) on which you can install the following software packages:

• R statistical software (free download from https://www.r-project.org)
• RStudio (free download from https://www.rstudio.com)
• OpenSesame (free download from https://osdoc.cogsci.nl/

1. perform and interpret basic techniques of statistical inference, both in a frequentist and Bayesian framework
2. program and administer behavioral experiments using computer software
3. understand various methods of cleaning data for analysis in R
4. develop skills for communicating technical material, especially through writing scientific manuscripts in APA format.

You will complete four lab activities throughout the semester. With the exception of the first lab on how to use R, the labs will each take four weeks, following the same basic schedule:

• first week: you will watch a video lecture describing to build the experiment in OpenSesame, then build your own version and submit it to me for a grade (10 points)
• second week: you will ask four friends to participate in your experiment, collect their data, and submit it to me for a grade (20 points)
• third week: you will watch a video lecture describing how to use R to analyze the collected data from the class, then complete and submit a corresponding data analysis assignment for a grade (30 points)
• fourth week: you will write a short APA-formatted manuscript describing the experiment and the results, and submit for a grade (40 points)

The labs I've planned for this semester are as follows:

• Lab 1 - Introduction to R statistical software
• Lab 2 - flanker task (an experiment on attention)
• Lab 3 - Sternberg memory scanning task (an experiment on short term memory)
• Lab 4 - addition verification task (an experiment on mathematical cognition)

Lab 1 is worth 50 points, and Labs 2-4 are each worth 100 points. Grades will be assigned based on the percentage of points you accumulate out of a total possible 350 points. I will use the standard grading scale of A=90%, B=80%, etc.

This course is designed to be an intensive, interactive course on modern statistical methods and experimental design. That means that I will be available for one-on-one consultation most any time. Just stop by my office or give me a call.

All official course communication (questions, setting up a meeting, etc.) will be conducted by email. Any time you need to contact me, feel free to send me an email at faulkenberry@tarleton.edu. I only ask that you adhere to two guidelines:

• please include the course number (PSYC 5316) in the subject line. For example, one good way to do this is: Subject: [PSYC 5316] Question about problem set 3
• please use proper email etiquette. Include a salutation (e.g., Dear Dr. Faulkenberry), complete sentences, and a closing (e.g., "Regards, Your Name"). You might be surprised how many times I get an email from a nondescript email address with no indication from WHOM the email was sent!

Note, I will send periodic class announcements via Canvas messaging. However, I ask that you send your questions by email instead of Canvas messaging.

Cheating, plagiarism, or doing work for another person who will receive academic credit is impermissible. This includes the use of unauthorized books, notebooks, or other sources in order to secure or give help during an examination, the unauthorized copying of examinations, assignments, reports, or term papers, or the presentation of unacknowledged material as if it were the own work. Disciplinary action may be taken beyond the academic discipline administered by the faculty member who teaches the course in which the cheating took place. Consult the following links for further information on academic conduct.

• Student Judicial Affairs: https://www.tarleton.edu/judicial/academicconduct.html
• Student Handbook: https://www.tarleton.edu/studentrules/code-of-student-conduct.html

Tarleton State University is committed to complying with the Americans with Disabilities Act (www.ada.gov) and other applicable laws. If you are a student with a disability seeking accommodation for this course, please contact the Office of Disability Resources at 254.968.9400, disability@tarleton.edu, or visit https://www.tarleton.edu/drt/.