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Quantitative Methods II

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Title: Quantitative Methods II


1
Quantitative Methods II
  • Instructor Michael Moore

2
Course Overview
  • Quantitative Methods II
  • Psychology 31684  Section 001  Call 15511
  • Spring 2006
  • Monday, Wednesday, Friday 1205 pm - 1255 pm
  • Kent Hall Addition, Room 101
  •  
  • Instructor                 Michael Moore
  •  
  • Office                        Kent Hall (not the
    Addition), Room 267
  •  
  • E-mail                       mtmoore1_at_kent.edu
  • E-mail 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 e-mail reply.
  •  
  • Office Hours            Mondays, Wednesdays,
    Fridays 1255 pm 155 pm
  • Also by appointment.  These office hours are
    preliminary and may need to be changed.  Any
    changes will be announced in class.

3
Course Overview
  • Voicemail 330.672.7915
  •  
  • Web Page http//www.geocities.com/shinmoore/teach
    ing.html

4
Course Overview
5
Course Overview
  • Class Attendance and Participation
  • Not mandatory but strongly recommended  
  • Statistics can easily get away from you if you
    arent careful
  • Atmosphere of open communication between student
    and teacher essential
  • Dialogue necessary for me to tailor this class to
    your particular needs
  • I cannot address concerns you may have if I am
    unaware of them
  • Quant II Statistical Grad School Prep
  • Im open to discussing grad school prep both in
    office hours and during class

6
Class Overview
  • Homework 
  • Based on material in SPSS computer labs
  • Cumulatively worth 25 of your grade
  • Due at the beginning of class on the due date
    no late homework will be accepted
  • Graded on a 0 to 1 scale
  • Collaboration is OK, plagiarism is not and will
    result in a 0, as well as poor exam performance

7
Course Overview
  • Examinations 
  • 3 take-home exams worth 25 of your grade each
  • Mixture of multiple choice and statistical
    problems
  • Showing work means printing out all SPSS output
  • Exams not explicitly cumulative, but material
    naturally builds upon itself

8
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.  The instructor reserves the
    right to determine the adequacy of the emergency
    and associated documentation prior to granting
    students permission to take make-up exams.  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

9
Course Overview
  • Academic Dishonesty 
  • You can pass my class without cheating, with
    ease, if you keep up with the work
  • Not worth ruining your potential grad school
    career
  •   
  • Students with Disabilities 
  • If you have a documented disability and require
    accommodations, please contact me at the
    beginning of the semester.
  • You must first verify your eligibility for these
    through Student Accessibility Services.
  • You can contact them by calling 330-672-3391,
    visit their offices in the Michael Schwartz
    Center, Room 181, or visit www.registrars.kent.edu
    /disability/default.htm for more information on
    registration procedures.

10
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
  • Classes in red are held in the computer lab, Kent
    Hall, Rm. 066
  • Date                Topic              
               Text Chapter
  • W 1/17 Course Overview None
  • F 1/19 Basic Concepts/Central Tendency H Ch. 1
    2
  • M 1/22 Measures of Central Tendency/Variability H
    Ch. 2
  • W 1/24 The Normal Distribution H Ch. 3
  • F 1/26 Sampling Distributions H Ch. 4
  • M 1/29 Sampling Distributions/Hypothesis
    Testing H Ch. 4
  • W 1/31 Hypothesis Testing H Ch. 4
  • F 2/2 Intro. To SPSS (Descriptive
    Statistics) GS Units 1-3, 5
  • M 2/5 One-Sample T-Tests H Ch. 7
  • W 2/7 Matched Sample T-Tests H Ch. 7
  • F 2/9 Matched Sample T-Tests H Ch. 7
  • HW 1 DUE
  • W 2/21 EXAM 1 NO CLASS
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