Fall 2021 - PSYC 410 D100

Research Design I (4)

Class Number: 2651

Delivery Method: Remote

Overview

  • Course Times + Location:

    Sep 8 – Dec 7, 2021: Tue, 2:30–5:20 p.m.
    Burnaby

  • Exam Times + Location:

    Dec 11, 2021
    Sat, 7:00–10:00 p.m.
    Burnaby

  • Prerequisites:

    PSYC 201, 210, 301, 60 units, and a CGPA of 3.0.

Description

CALENDAR DESCRIPTION:

Reviews the basic logic of controlled experimentation, and focuses on analysis of variance designs commonly used in psychological research. Particular emphasis is given to the relative merits of the several designs when there are multiple research questions to be answered. Quantitative.

COURSE DETAILS:

Psyc 410/910
This course will be taught remotely primarily using SYNCHRONOUS teaching strategies during scheduled class time; Lecture/seminar/group discussions and group office hours will be recorded and available on Canvas. Some lectures may involve ASYNCHRONOUS components with selected podcast episodes and/or PPT lectures. Remote attendance is required.

Grading

  • Evaluation/Grading This course involves a series of ungraded and graded activities over the course of the term. There will be: * 4 Primary Graded assignments.
  • Assignment 1: 20%
  • Assignment 2: 20%
  • Assignment 3: 25%
  • Assignment 4: 25%
  • Participation Activities: 10%
  • There will be no In class Midterm or Final Exam

NOTES:

TENTATIVE STRUCTURE: Psyc410/910 will be comprised of three parts, with primary emphasis on Parts II and III.

Part I. Review of Fundamentals/background; -Planning research, Data analysis, Logic of statistical inference

Selected quantitative scenarios in Experimental Research Design using a General Linear Model Framework Parts II & III - (provisional)

II. Between-Subjects Designs
- 1-way between subjects design and ANOVA (general relationship question)
- contrasts/multiple comparisons/simultaneous inference (set of specific hypotheses)
- factorial (p-way) between subjects design and analysis

III. Designs involving Repeated-Measures
- 1-way randomized block/repeated measures design and analysis
- factorial (q-way) repeated measures design and analysis
- ( p + q )-factor mixed design and analysis Time permitting (possible topics)
- Intro to Multivariate Analysis of Variance Framework
- Analysis of Covariance

Materials

MATERIALS + SUPPLIES:

REQUIRED TECHNOLOGY: To participate in this class you MUST have reliable internet and a computing device with audio-capacity (to speak/to listen) with the ability to access Canvas BB Collaborate and Zoom. Having ability to have audio on during class discussions is required; having video on is optional. We will be using a combination of Canvas tools, BB Collaborate and Zoom, and google tools (e.g., docs/slides/forms) as necessary.

OTHER REQUIRED MATERIAL: Hand or on-line calculator

REQUIRED TECHNOLOGY: To participate in this class you MUST have reliable internet and a computing device with audio-capacity (to speak/to listen) with the ability to access Canvas BB Collaborate and Zoom. Having ability to have audio on during class discussions is required; having video on is optional. We will be using a combination of Canvas tools, BB Collaborate and Zoom, and google tools (e.g., docs/slides/forms) as necessary.

REQUIRED READING:

Myers, J.L, Well, A.D., & Lorch Jr., R.F. (2010). Research Design and Statistical Analysis. New York: Routledge Press.

The textbook is available at the SFU library as an e-book. Purchase of a personal copy is recommended. Supplemental Sources : Supplemental readings will be assigned on an as needed basis


Registrar Notes:

ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS

SFU’s Academic Integrity web site http://www.sfu.ca/students/academicintegrity.html is filled with information on what is meant by academic dishonesty, where you can find resources to help with your studies and the consequences of cheating.  Check out the site for more information and videos that help explain the issues in plain English.

Each student is responsible for his or her conduct as it affects the University community.  Academic dishonesty, in whatever form, is ultimately destructive of the values of the University. Furthermore, it is unfair and discouraging to the majority of students who pursue their studies honestly. Scholarly integrity is required of all members of the University. http://www.sfu.ca/policies/gazette/student/s10-01.html

TEACHING AT SFU IN FALL 2021

Teaching at SFU in fall 2021 will involve primarily in-person instruction, with approximately 70 to 80 per cent of classes in person/on campus, with safety plans in place.  Whether your course will be in-person or through remote methods will be clearly identified in the schedule of classes.  You will also know at enrollment whether remote course components will be “live” (synchronous) or at your own pace (asynchronous).

Enrolling in a course acknowledges that you are able to attend in whatever format is required.  You should not enroll in a course that is in-person if you are not able to return to campus, and should be aware that remote study may entail different modes of learning, interaction with your instructor, and ways of getting feedback on your work than may be the case for in-person classes.

Students with hidden or visible disabilities who may need class or exam accommodations, including in the context of remote learning, are advised to register with the SFU Centre for Accessible Learning (caladmin@sfu.ca or 778-782-3112) as early as possible in order to prepare for the fall 2021 term.