Summer
Syllabus
In this section, you will find the course syllabus,
including a link to the schedule, a course overview,
objectives, textbooks, and other useful information.
Overview
Prerequisite: Y502 or consent of instructor.
Topics covered include distribution of random
variables, estimation, statistical hypotheses, and
analysis of trend data. Also included is analysis of
variance: groups-within treatments, simple factorial,
split plot, mixed, nested, and other higher dimensional
analyses.
Click on the title above to see the course
schedule.
Note: This is a tentative course schedule which
is subject to change without prior notice. Changes to the
syllabus depend on the pace of classroom instruction and
students' learning. Any change in the syllabus will be
communicated to each enrolled student via the electronic
mail.
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Objectives
- To acquire skills necessary for applying
statistical principles of inference to well-defined
behavioral and educational problems.
- To be able to objectively evaluate manuscripts
in which (univariate) analysis of variance
techniques were used.
- To carry out numerical analyses of data by hand
or by SAS software under the Windows.
- Can understand selected articles which address
unresolved theoretical issues in univariate
statistics. These issues largely deal with
statistical assumptions or adequacy of applying
certain models to real-world data.
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Required Textbooks
The following textbooks are required readings
for this course. They may be found on reserve at the
Education library as well as for sale at the campus
bookstores:
Kirk, R.E. (1994). Experimental
Design--Procedures for the Behavioral Sciences
(3rd ed.,), Belmont, CA: Brooks/Cole Publishing
Company.
You will want to print out the corrections
list to note the errors found in this edition of
the book.
Huck/Cormier/Bounds (latest ed.). Reading
Statistics and Research, New York, NY: Harper
Collins Publishers.
SAS Institute (1990). SAS Language: Reference,
Version 6 (first edition), Cary, NC: SAS Inc.
SAS Institute (1989). SAS/Stat-Vol. I and Vol.
II, Version 6, Fourth Edition, Cary, NC: SAS
Inc.
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Reference or Reference
Books
Hays, W.L. (1988). Statistics for the
Social Sciences (4th ed.), New York, NY: Holt,
Rinehart and Winston, Inc.
Maxwell, S.E., & Delaney, H.D. (1990),
Design Experiments and Analyzing Data: A model
comparison perspective, Belmont, CA: Wadsworth
Publishing Company.
Winer, B.J. (1971). Statistical Principles in
Experimental Design (2nd ed.,), New York, NY:
McGraw Hill.
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Assignments
and Exams
Assignments and Exams
The required coursework for this course includes:
- For each topic covered in this course, practice
problems and readings taken from Kirk.
(Practice problems are not graded because answers will
be provided for you)
- Two take-home exams
- Two research article
critiques
Please note: Detailed information about the
assignments for each session can be found at the bottom
of the lecture notes for each
session.
The specific instruction on exams and the critiques
will be announced later in class.
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Communication
You should have a valid student account on the
university computing system. This account will facilitate
our communication via the e-mail utility and enable you
to analyze data by using the SAS software. Thus, a
limited prior knowledge of computers is assumed.
Labs
The attendance of any lab session is
optional; but you alone are responsible for the
consequences of missing the labs. Activities that
typically take place in the labs include, but are not
limited to, (a) clarification of previous lectures,
(b) answering questions related to practice problems,
the article critique, or any administrative aspect of
the course, and (c) instruction on basic SAS command
language and execution.
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Grading System
Students' performance in this course will be evaluated
based on the required exams and the article critiques.
The article critiques count 20% (or 10% each) toward the
final grade. Both take-home exams are graded on the point
system and count 80% (or 40% each) toward the final
grade. A final course grade, expressed in letters, will
be determined for each student according to the following
mastery levels:
85% mastery or above -- A
80% to 84% -- A-
75% to 79% -- B +
70% to 74% -- B
65% to 69% -- B-
60% to 64% -- C +
55% to 59% -- C
50% to 54% -- C-
The letter grades should be interpreted according to
the School of Education grading policy as follows:
A Outstanding achievement.
A- Excellent achievement.
B+ Very good achievement.
B Good achievement
B- Fair achievement.
C+ Not wholly satisfactory achievement.
C Marginal achievement.
C- Unsatisfactory achievement.
Incomplete grades will be given only for a
legitimate reason as outlined in the university's
Academic Guide, and only after a conference
between the instructor and the student. Throughout the
course of this section, you may contest every grade
awarded to your article critique, exams or the overall
course performance within 48 hours of receiving such a
grade. Once this "statute of limitation" has passed,
it is assumed that you willingly accept the grade(s)
assigned without further dispute.
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Academic Honesty and
Intellectual Integrity
According to P.72 of the Academic
Handbook (June 1992 edition), each faculty member
has "a responsibility to foster the intellectual
honesty as well as the intellectual development of
his/her students." In order to achieve these goals,
each student enrolled in this course is prohibited
from engaging in any form of "cheating" or
"plagiarism." Cheating is defined as
"dishonesty of any kind with respect to examination,
course assignments, alteration of records, or illegal
possession of examinations" (p. 72 of the Academic
Handbook). "It is the responsibility of the
student not only to abstain from cheating but, in
addition, to avoid the appearance of cheating and to
guard against making it possible for others to cheat.
Any student who helps another student to cheat is as
guilty of cheating as the student he or she assists.
The student also should do everything possible to
induce respect for the examining process and for
honesty in the performance of assigned tasks in or out
of class." (p. 72 of the Academic Handbook).
Plagiarism is defined as "offering the work of
someone else as one's own" (p. 72 of the Academic
Handbook). "The language or ideas thus taken from
another may range from isolated formulas, sentences,
or paragraphs to entire articles copied from books,
periodicals, speeches, or the writings of other
students. The offering of materials assembled or
collected by others in the form of projects or
collections without acknowledgment also is considered
plagiarism. Any student who fails to give credit for
ideas or materials taken from another source is guilty
of plagiarism." (p.72 of the Academic
Handbook).
Evidence of student academic misconduct will result
in (a) a lowered course grade, (b) transfer out of
this course, (c) dismissal from student's academic
unit, or (d) other disciplinary actions in accordance
with the guidelines outlined on p.73 of the
Academic Handbook.
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You can search for a
topic in the summer lectures by using the FIND feature
below. Just replace the "..." with your search term. Do
not delete "summer and .." unless you wish to search the
whole site, including regular-school-year lectures.
URL:
http://www.indiana.edu/~jopeng/Y603/summer/index.html
Comments: peng@indiana.edu
Dr. Peng's Home Page: Dr.
Chao-Ying Joanne Peng
Copyright
1998, The Trustees of Indiana
University
