Presentation is loading. Please wait.

Presentation is loading. Please wait.

Quantitative Methods I Instructor: Michael Moore.

Similar presentations


Presentation on theme: "Quantitative Methods I Instructor: Michael Moore."— Presentation transcript:

1 Quantitative Methods I Instructor: Michael Moore

2 About Me Graduate student in clinical psychology Originally from New York Hobbies: Basketball, philosophy Research interests: cognitive/information processing biases in mood disorders/depressive realism, attributional processes in mood disorders, and multivariate statistics And no, this will not be on the test…

3 Course Overview Quantitative Methods 1 Psychology Section 005 Call # Fall 2007 Tuesday & Thursday 2:15 pm - 3:30 pm Kent Hall Addition, Room 101 Instructor: Michael Moore Office: Kent Hall (not the Addition), Room is probably the single best way to reach me, as I tend to check it obsessively. However, for other than the most simple questions about course mechanics, etc. it is better to catch me during Office Hours than my having to compose a dissertation-length reply. Office Hours: Tuesday & Thursday 1:00pm – 2:00pm Also by appointment. These office hours are preliminary and may need to be changed. Any changes will be announced in class.

4 Course Overview Voic (330) , then press (*), then dial extension Web Page: All lectures can be downloaded from this website and should be printed prior to the start of each class.

5 Course Overview

6 Class attendance is not mandatory as I will not be taking attendance but it is strongly recommended. One of my primary goals in this class (aside from teaching Statistics) is to provide an atmosphere of open communication between student and teacher. Therefore, please give me your first name when raising your hand to ask a question.

7 Class Overview Homework: Throughout the semester, homework will be assigned for each chapter and will be worth 25% of your final grade. Homework is due at the beginning of class on the assigned due date. Homework assignments will be graded as 1 or 0. A 1 is earned when homework is legible, complete, shows all work, and shows that an effort was made to solve the problems, even if the correct answers were not found. You are free to collaborate on homework assignments with your classmates, but each student must turn in his/her own, handwritten, assignment. However, you are strongly discouraged from simply copying another students homework.

8 Course Overview Examinations: There will be three exams, each worth 25% of your final grade. Exams will consist of a mixture of short- answer questions and statistical problems. Although exams will not be cumulative per se, material covered on one exam may build upon the material covered on previous exams. You will be responsible for the information presented during lectures as well as the information contained within the text. Students are responsible for bringing pencils and calculators to exams. You should bring your KSU ID to exams as you may be asked to present it. Do not arrive at an exam lateonce the first student has completed the exam, no one else may start the exam.

9 Course Overview Make-Up Exams: Make-up exams will be given only in emergency situations and with adequate documentation (e.g., a written note from a physician). If a student is unable to take an exam on the scheduled date because of an emergency, the student must notify the instructor in advance, or as soon as circumstances would possibly allow. You are responsible for contacting me in order to make arrangements for a make-up exam. If an exam is missed and no make-up exam is taken, a zero will be given for that exam. Final Grade: Your grade for the course will be computed as follows: Exam 1 25% Exam 2 25% Final Exam 25% Homework 25%

10 Course Overview Academic Dishonesty: Ive tried to structure the course so that any appropriately motivated student can succeed by doing a reasonable amount of work. Students caught cheating on exams will be dealt with severely, according to with university regulations. Students with Disabilities: University policy requires that students with disabilities be provided reasonable accommodations to ensure their equal access to course content. If you have a documented disability and require accommodations, please contact me at the beginning of the semester to make arrangements for necessary classroom adjustments. Please note, you must first verify your eligibility for these through Student Accessibility Services. You can contact them by calling , visit their offices in the DeWeese Student Health Center, or visit for more information on registration procedures.

11 Course Overview Extra Help: Students enrolled in this course are eligible for tutoring assistance through the Academic Success Center in the Michael Schwartz Center (Rm. 207) or Stopher Hall (Monday evenings). If you have any concerns about your math preparation for this course, you are strongly urged to sign up for these services.

12 Course Overview Lecture and Reading Outline: This following outline serves as a tentative guide since dates for particular lecture topics can only be approximate and because material may be added or deleted as necessary. Again, listed exam dates are only approximate and may be subject to change. If changes to exam dates are made, they will be announced in class as soon as possible, but in any case at least a week prior to the exam date. Course Outline Date Topic Text Chapter T 8/28 Course Overview None Th 8/30Introduction to StatisticsCh. 1 Recommended Additional Reading: Cook and Reichardt T 9/4Basic ConceptsCh. 2 Th 9/6Graphing DataCh. 3 T 9/11Measures of Central Tendency/Variability Ch. 4/5 Th 9/13 Measures of Variability Ch. 5 T 9/18The Normal Distribution Ch. 6 Th 9/20Review for Exam #1 T 9/25Exam #1


Download ppt "Quantitative Methods I Instructor: Michael Moore."

Similar presentations


Ads by Google