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PSYC 2354: Advanced Statistics and Design
Online
Instructor : Samantha Estrada PhD Email : sestrada@uttyler.edu Office hours : Available M-F from 9-5pm by appointment via Zoom. Send me an email to set it up a meeting.
Required Text : Navarro DJ and Foxcroft DR (2019). Learning Statistics with jamovi: A Tutorial for Psychology Students and other Beginners. (Version 0.70). DOI: 10.24384/hgc3-7p15 You can download it here: https://www.learnstatswithjamovi.com/
Software : We will be using a free and open source software for our data projects called jamovi. You can download the software here: https://www.jamovi.org/ and you can watch a tutorial installation here: https://www.youtube.com/watch?v=syx0f4xCxpk
Course Catalog Description : Includes aspects of complex experimental designs, statistical hypothesis testing, decision theory, multiple regression analysis, ANOVA, distribution-free techniques, and factor analysis.
Required Prerequisites : PSYC 2354 and PSYC 2331 (or equivalent undergraduate statistics and research methods courses at another institution) and consent of instructor.
Student Learning Outcomes : As a result of this course, successful students will be able to:
- Identify and articulate the theoretical underpinnings of inferential statistics and experimental design.
- Articulate basic principles of statistical analyses, including measures of central tendency, variability, sampling distributions and hypothesis testing.
- Accurately choose and conduct statistical data analyses, using jamovi statistical software, emphasizing the basic assumptions, appropriate uses, and the interpretation of each.
- Employ qualitative, quantitative, and single-case research methods.
Homework Data Projects
- There will be data assignment for each of the topics we cover. The due date for these assignments will be Sundays 11:59 PM for the week each topic is covered.
- You may pair up with another student to complete the assignment (pairs means two people); however, you must notify me you are working together and have both names in the assignment. I will create the the “team” in Canvas so that only one of you has to submit in Canvas.
- Your reports for these data projects need to be clearly labeled as LastName.FirstName.AssignmentName.docx (or .doc), if working in pairs it should include both names and only one of you needs to submit in Canvas.
- All assignments MUST be turned in on time to receive full credit. I will deduct 2 points for everyday a submission is late (from a total of 10 points). You will get to drop one assignment no questions asked without it affecting your grade.
- Homework Data Projects are submitted Sundays of each week at 11:59pm
Discussion Board
- We will have a weekly discussion board covering the topics we are learning in class. The specific discussion topics may range from dicussing articles to evaluating the statistical content of research articles.
- Each discussion will be graded and moderated by the TA and myself
- Each discussion will be worth 10 points.
- There is an available rubric for grading the discussion in Canvas.
- Late discussion postings will be deducted 2 points for everyday the post is made late.
- Discussions post should be submitted by Sunday at 11:59pm of each week.
Exams
This class will have a midterm exam and a final project.
Midterm
The midterm exam will be 15 questions taken online through Canvas and a project utilizing applied conceps using jamovi or interpreting output.
Final Project
In a group of your choosing, you will work to design and test a hypothesis using one of the provided real data sets posted on Canvas. The final product will consist of a detailed recorded presentation of your results in class. See the detailed description posted on Canvas.
Grading
Midterm 20% Final Data Project 20% Homework Data Projects 40% Discussion Board 20%
Email Netiquette
- I will respond to emails Monday to Friday from 8-5 pm.
- Make sure your question isn’t addressed in this syllabus.
- When you email me, identify what course you are in. State what section, day and time you are in. I teach more than one statistics class, and more than one section every day.
- Address me as Dr. Estrada. Do not begin your email with “hey.” I’m also not Ms. Estrada.
- If you have issues with the quizzes. You should contact the TA for the class.
I am usually quick to respond to student e-mails. However, student e-mails tend to do several things that try my patience. I have a new policy, effective Fall 2019, that outlines why I will not respond to certain e-mails students send. Multiple rationales follow.
- The student could answer his/her own inquiry by reading the syllabus.
- Do not email me inquiring about your final grade or to help you predict your final grade. See policy on grade correction below
- Grades will be available on CANVAS and you should know what you need to pass the course.
- The student should use his/hers UTT email at all times. Do not email me from your private account (eg. coolguy23@gmail.com). If you email me from a personal email, I will NOT respond.
Student Absence for University-Sponsored Events and Activities If you intend to be absent for a university-sponsored event or activity, you (or the event sponsor) must notify the instructor at least two weeks prior to the date of the planned absence. At that time the instructor will set a date and time when make-up assignments will be completed.
Social Security and FERPA Statement
It is the policy of The University of Texas at Tyler to protect the confidential nature of social security numbers. The University has changed its computer programming so that all students have an identification number. The electronic transmission of grades (e.g., via e-mail) risks violation of the Family Educational Rights and Privacy Act; grades will not be transmitted electronically.
Grade Grievances
Grade grievances can be filed only after final grades have been posted after the end of the semester, but must be made within 90 days of the semester end. To file a grade grievance, refer to the appropriate section of the UTT Catalog (p. 38).
Academic Honesty Statement Cheating, plagiarism (submitting another person’s material as one’s own), 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 student’s 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.
Civility Statement Students are expected to interact with instructors and peers in a respectful manner that enhances the learning environment.
UT Tyler Resources for Students
- UT Tyler Writing Center (903.565.5995), writingcenter@uttyler.edu
- UT Tyler Tutoring Center (903.565.5964), tutoring@uttyler.edu
- The Mathematics Learning Center, RBN 4021, this is the open access computer lab for math students, with tutors on duty to assist students who are enrolled in early-career courses.
- UT Tyler Counseling Center (903.566.7254)
Library Support The Robert R. Muntz Library strives to serve as a center of discovery, exchange, and advancement of ideas. http://www.uttyler.edu/library/ I RESERVE THE RIGHT TO MODIFY THIS SYLLABUS AT ANY TIME. THEREFORE, YOUR ATTEN- DANCE AND ATTENTION TO THE ANNOUNCEMENTS IN CANVAS ARE CRUCIAL BECAUSE IT WILL ASSIST YOU REMAIN CURRENT ON THE MATERIAL AND KNOW WHEN THE SYLLABUS MAY BE MODIFIED.
PSYC 5340 Schedule
Week 01, 05/2 6 - 05/31: Data Entry & Importing Data
Reading(s) Discussion Board Homework
Textbook Chapter 3: Getting started with jamovi Introduction & Replication in Psychology jamovi installation + selected tutorials. No submission required.
Week 02, 06/01 - 06/07: Descriptive Statistics & Graphs
Reading(s) Discussion Board Homework
Textbook Chapter 4: Descriptive Statistics Descriptives Data Entry & Descriptives Data Project
Textbook Chapter 5: Drawing Graphs
Week 03, 06/08 - 06/14: Recoding and Computing Variables
Textbook Chapter 6: Pragmatic Matters
Reading(s) Discussion Board Homework
Wheelan, G. (2013) Garbarge in, garbage out. Gelman (2018) Data Ethics Graphs Data Project
Reading(s) Discussion Board Homework
Kehaulani, G. S (2015).The art and science of the scatterplot. Velikovic, V. What everyone should know about statistical correlation. Also Check Discussion Board for Additional Reading
Correlation & Regression
T-test Data Project
Week 07, 07/06 - 07/12: Exam 1
The exam will open Sunday 07/05 at 11:59 pm
Week 08, 07/13 - 07/19: One Way ANOVA
- Textbook Chapter 12: Comparing several means (One-Way ANOVA)
Reading(s) Discussion Board Homework
No readings One Way ANOVA No homework this week
Week 09, 07/20 - 07/26: Factorial ANOVA
- Textbook Chapter 13: Factorial ANOVA — Factorial ANOVA 1: balanced designs, no interactions — Effect Size — Assumption checking
Reading(s) Discussion Board Homework
O’Reilly (2010) Repeated Measures One-Way ANOVA Data Project
Week 10, 07/27 - 08/02: ANCOVA & Factor Analysis
- Textbook Chapter 13: Factorial ANOVA
- Textbook Chapter 14: Exploratory Factor Analysis
- Analysis of Covariance ANCOVA
- Textbook Chapter 14: Exploratory Factor Analysis
Reading(s) Discussion Board Homework
Check Discussion Board for Readings.
Huck, S. W. (2012). Reliability and Validity. Reading statistics and research. Boston, MA: Pearson
ANCOVA
Reliability and Validity
Factorial Data Project
Week 11, 08/03 - 08/0 8 : Exam 2: Final Data Project Presentation
- Note 0 8/08 is actually a Saturday, but it is the official end data for Long Summer Courses.
Reading(s) Discussion Board Homework
No readings Presentations Forum Factor Analysis Data Project
