Room: SETI RM 274 Time: M 6-9pm
Instructor: Shannon McCaslin Office: 410 South Dakota Union Building
Phone: 605-677-5353 Email: [email protected]
Office Hours: by appointment
Course Objectives:
Attendance during activities or quizzes cannot be made up without prior notification or extenuating circumstances. In case of absences, you are responsible for all information given in class.
Graded Material:
Your grade will consist of the following:
Midterm exam (100 points)
Final exam (100points)
Quizzes (50 points)
Take home assignments (50 points)
Final paper/presentation (100 points)
Exams
The midterm and final exams will be a combination of multiple choice and essay questions. If it is necessary for you to miss a test and you notify the instructor beforehand, make up exams will be made available. The make up exam will differ from the regular exam and will generally be more difficult than the version given in class.
Quizzes
Quizzes will cover any material previously assigned or covered in class (including reading snot explicitly discussed in class). They may occur at any time, but will be announced during the class period immediately prior to the quiz date. One quiz grade may be dropped.
Take home assignments
The textbook contains four methodological exercises which are designed to familiarize the student with basic methodological principles and procedures (e.g., random assignment, repeated measures designs, etc.) Each of these exercises will be worth 12.5 points (total=50 points), and can be completed individually or in pairs.
Final Project
You will be required to write one paper on a topic to be determined later in the semester and present it orally to the class. The paper will require a moderate amount of time in the library, as it must contain references to original scientific research. The papers will be a maximum of 6 pages.
Grading:
The total points from the two exams, research paper/presentation, take home assignments, and quizzes (plus the extra credit) will be totaled.
A 90-100% 360-400 points
B 80-89% 320-359 points
C 70-79% 280-319 points
D 60-69% 240-279 points
E below 60% 0-239 points
Although this grading scale will be closely followed, some exceptions may be made. For example, if your final grade is within .1 or .2% of a higher grade, and I feel that you have made an honest effort to learn the course material (i.e., attended class, did well on assignments) your grade may be rounded up.
Extra credit: maximum of 10 points available
For 5 points you may complete a typed, 1-2 page summary paper covering a scientific journal article. Prior to completing the review, the student is required to bring a copy of the abstract to the instructor. Once this article is approved, the student can complete the review. The review must include a discussion of at least 5 of the concepts covered in class. You may also participate in ongoing research studies conducted in the USD psychology department for 5 points.
Late Policy:
There will be a 10% deduction per class period for late assignments.
Cheating:
Any student caught cheating or plagiarizing will immediately fail the
course.
CLASS SCHEDULE: The following schedule is subject to change
DateReadingsTopic(s)
1/29/01P1,
P2 Intro.
to research and it’s history in Psych
CLASS
CANCELLEDThe
process of science and research
(tenets of experimentation)
02/05/01 P1,
P2 Intro.
to research and it’s history in Psych.
The
process of science and research
(tenets
of experimentation)
02/12/01P3 Measurement
Issues
M1
(pgs. 3-14) Where
do data come from?
M8
(pgs. 126-140)Measuring
02/19/01
No class: Presidents Day
02/26/01P4 Threats
to Validity
M2
(pgs. 19-25)Samples,
good and bad
03/05/01
No Class: Spring Break
03/12/01 P5 Research
Techniques
M5
(pgs. 71-82) Experiments,
good and bad
M4
(pgs. 49-62)Sample
surveys in the real world
MIDTERM EXAM
03/19/01 P6Experimental
Designs
M6 (pgs. 89-102) Experiments
in the real world
03/26/01 P8 Intro.
to basic statistics: Guest Lecture: Class cancelled
04/02/01 P8Intro.
to basic statistics: Guest Lecture
04/09/01 P7The
practice of science and research
M7 (pgs. 108-119) Data
ethics
04/16/01
No Class: Easter Break
04/23/01P9
& P10 Reporting,
interpreting and describing your findings
M9
(pgs. 146-154) Do
the numbers make sense?
M10
(pgs. 173-184) Graphs,
good and bad
04/30/01PRESENTATIONS
P11Practical
applications
05/07/01FINAL
EXAM
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