Fall 2019 - PSYC 410 D100

Research Design I (4)

Class Number: 9900

Delivery Method: In Person

Overview

  • Course Times + Location:

    Tu 2:30 PM – 4:20 PM
    RCB 6152, Burnaby

    Th 2:30 PM – 3:20 PM
    RCB 6152, 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:

Sources: The readings will be drawn primarily, but not exclusively, from the following sources and will be assigned on an as needed basis. You may obtain the readings from the copier room and make yourself a copy.

Kirk, R.E. (1995).  Experimental Design: Procedures for the Behavioral Sciences (3rd ed).  California; Brooks & Cole.

Myers, J.L, and Well, A.D.  (1991).  Research Design and Statistical Analysis. New York: HarperCollins Publishers Inc.  

Tentative  Structure:   Psyc410/910 will be comprised of two parts:
  i. Fundamentals/background/review  

  • Data analysis and logic of statistical inference
  • Concept of relationship

  ii. Selected quantitative scenarios (provisional)
  •   1-way b.s. design:            
- ANOVA (general relationship question)            
- simultaneous inference (set of specific hypotheses)
  • simultaneous inference (otherwise known as multiple comparison procedures)
  • 1-way randomized block/repeated measures design and analysis
  • p-way b.s. design and analysis 
  • (p+q)-factor mixed design and analysis

Grading

  • 4 assignments each worth 10% each: 40%
  • 1 midterm: 30%
  • 1 final (take home): 30%

NOTES:

Assignments:   Each of the four assignments will be constituted of a number of checkup questions handed out during microlab sessions.  Each checkup question you receive will make reference to an assignment number, and you will hand in, on the relevant due date (see schedule below), all questions making reference to the assignment that is due.  Computations may be carried out in either SPSSX or R.  

Microlab There are 14 machines in the microlab, and often somewhere around 20 students in 410/910.  That is to say, there will have to be some sharing, during our sessions, and it will be, perhaps, a touch cozy.  Grad students are, of course, free to use the lab in non-class hours to work on assignment questions, and all students can access SPSSX or R on any of the university’s many work stations.  Alternatively, students may wish to purchase a copy of SPSSX [install R] and bring with them, to microlab sessions, their laptops.

Registrar Notes:

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

ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS