PSYC*2040, Course Outline: Fall 2016 (tentative)
General Information
Course Title: Research Statistics
Course Description:
This course emphasizes inferential tests applied to psychological research, skills of data
analysis, as well as the use and interpretation of output from statistical software. Topics
covered include the t-test, various forms of analysis of variance, chi-square, bivariate and
multiple regression.
Credit Weight: 0.50
Academic Department (or campus): Psychology
Semester Offering: F16
Class Schedule and Location: Mondays 7:00pm to 8:50pm, ROZH 103
Instructor Information
Instructor Name: David Stanley
Instructor Email:
Office location and office hours: MCKN 4002, Tuesday 11:30 to 12:20pm
GTA Information
Hours Day
Office Hours
Office Hours
TA Name
The only avenue for communicating with TAs is the lab or office hours (not email; due to contract
restrictions) so please make sure you are available during your TA’s office hours. When major lab
assignments are due office hours will begin at the same time but be twice as long. This is to provide
extra help with major assignments.
Course Content
Specific Learning Outcomes:
1. Understand and apply advanced concepts in statistics to data analysis in psychology.
2. Recognize and describe complex research methodologies.
3. Show an ability to analyze and interpret data to test a claim.
4. Demonstrate a skill set with statistical analysis software.
5. Evaluate the nature and extent of graphs needed to support analyses.
6. Write with appropriate vocabulary, APA style adherence, and few grammatical or
functional errors.
7. Evaluate the graphs and or tables associated with analyses.
Lecture Content:
1. t-test
2. 1-way ANOVA
3. Completely randomized factorial (CRF) designs
4. Split-plot Part 1
5. Split-plot Part 2
6. Correlation and regression
7. Lab exam Q&A.
8. Multiple correlation and regression
9. Chi-square
Lab Day
Lab Time
Course Assignments and Tests:
Lecture Date
Lecture/Lab Topic
Assignment Due in Lab
Sept. 12
Sept. 19
Sept. 26
1-way ANOVA
t-test (minor: 2.5%)
Oct. 3
Completely randomized
factorial (CRF) designs
1-way ANOVA (major: 10%)
Extended TA Office Hours
Oct. 17
Split-plot Part 1
CRF (minor: 2.5%)
Oct. 24
Split-plot Part 2
Oct. 31
Correlation and regression
Split-plot (major: 10%)
Extended TA Office Hours
Nov. 7
Lab exam Q&A.
Lab exam during labs this week.
Lab exam covers everything up
to and including CRF.
LAB EXAM (25%)
Nov. 14
Multiple correlation and
(minor: 2.5%)
Nov. 21
Multiple regression
(major: 10%)
Extended TA Office Hours
Nov. 28
Check Lab Exam Marking
Chi-square (minor: 2.5%)
Hand in chi-square only in
lab this week (or to TA via
Additional Notes (if required):
All learning outcomes are involved in every assignment and exam.
Minor lab assignments: 10%
Major lab assignments: 30%
Lab Exam: 25%
Final examination date and time: 07:00PM - 09:00PM (2016/12/14)
Final exam weighting: 35%
Course Resources
Required Texts:
Gardner, R. C. & Tremblay, P.F. (2006). Essentials of Data Analysis: Statistics and Computer
APA Style Manual: Publication Manual of the American Psychological Association, Sixth Edition.
Other Resources:
SPSS: Available for free in MCKN 028 and on library computer terminals. Also, you just
“purchase” it for free from:
Course Policies
Grading Policies
All lab assignments (minor and major) are due during the lab for which a student is registered.
All assignments must be handed in during the first 30 minutes of the lab. Assignments handed
in later than this are considered late.
Major assignment late penalty: 20% per day. Weekends count as two days. You may email an
assignment to the instructor ( if you can’t make it to the lab on time.
However, you must still hand in a paper copy as soon as possible. The paper copy will be the
one that is marked. The email submission merely confirms the assignment was completed on
time. A short extension maybe granted on major assignments for compassionate or medical
reasons, with documentation.
Minor assignment late penalty: Late minor assignments receive a grade of 0.
There will be no make-up lab exams or major assignments for any reason. Also, there will be no
advance writing of tests or lab tests for any reason. If you miss the lab exam (or a major
assignment) for a valid and documented reason (e.g., illness documented by a medical note),
your absence will not be counted against you and your final mark in the course will be pro-
rated toward your final exam. For example, if you miss the lab exam (worth 25% of your final
grade) the final exam will be worth 60% (35% original final exam value + 25% representing
missed lab exam value) of your final grade (assuming you provided valid medical
documentation). For students who write the lab exam while sick -- requests to re-weight the lab
exam due to a poor grade will not be considered. Be sure to inform the instructor prior to lab
exam, etc. that you cannot attend for accommodation. If you cannot provide valid
documentation for missing a lab exam, you will be assigned a grade of zero.
Students are entitled to a rescheduling of final exams for legitimate medical or compassionate
reasons. However, it is the student's responsibility to inform the instructor and registrar’s
office prior to the exam to arrange a timely makeup, and, if requested, to provide acceptable
documentation to support a medical or compassionate claim. In general, retroactive requests
for grade revisions on medical or compassionate grounds will not be considered.
Undergraduate Grading Procedures
Course Policy on Group Work:
Lab assignments must be completed on an individual basis. Collaborations among students for
the purposes of writing assignments are prohibited. Any student(s) suspected of unauthorized
collaboration will be reported to the Dean’s Office for an academic misconduct investigation
(see Policy on Cheating & Academic Misconduct below). Note: It is possible to talk to fellow
students to understanding the material needed to complete an assignment; however, you must
write the assignment independently.
Course Policy regarding use of electronic devices and recording of lectures:
Electronic recording of classes is expressly forbidden without consent of the instructor. When
recordings are permitted they are solely for the use of the authorized student and may not be
reproduced, or transmitted to others, without the express written consent of the instructor.
University Policies
Academic Consideration
When you find yourself unable to meet an in-course requirement because of illness or
compassionate reasons, please advise the course instructor in writing, with your name, id#, and
e-mail contact. See the academic calendar for information on regulations and procedures for
Academic Consideration:
Academic Consideration, Appeals and Petitions
Academic Misconduct
The University of Guelph is committed to upholding the highest standards of academic integrity
and it is the responsibility of all members of the University community, faculty, staff, and
students to be aware of what constitutes academic misconduct and to do as much as possible
to prevent academic offences from occurring.
University of Guelph students have the responsibility of abiding by the University's policy on
academic misconduct regardless of their location of study; faculty, staff and students have the
responsibility of supporting an environment that discourages misconduct. Students need to
remain aware that instructors have access to and the right to use electronic and other means of
detection. Please note: Whether or not a student intended to commit academic misconduct is
not relevant for a finding of guilt. Hurried or careless submission of assignments does not
excuse students from responsibility for verifying the academic integrity of their work before
submitting it. Students who are in any doubt as to whether an action on their part could be
construed as an academic offence should consult with a faculty member or faculty advisor.
The Academic Misconduct Policy is detailed in the Undergraduate Calendar:
Academic Misconduct Policy
The University of Guelph is committed to creating a barrier-free environment. Providing
services for students is a shared responsibility among students, faculty and administrators. This
relationship is based on respect of individual rights, the dignity of the individual and the
University community's shared commitment to an open and supportive learning environment.
Students requiring service or accommodation, whether due to an identified, ongoing disability
or a short-term disability should contact the Student Accessibility Services (SAS) as soon as
For more information, contact SAS at 519-824-4120 ext. 56208 or email or
see the website: Student Accessibility Services Website
Course Evaluation Information
Please refer to the Course and Instructor Evaluation Website .
Drop date
The last date to drop one-semester courses, without academic penalty, is Nov 4, 2016. For
regulations and procedures for Dropping Courses, see the Academic Calendar:
Current Undergraduate Calendar
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