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.
Schedule
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 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 (1996). Reading Statistics and
Research (2nd ed.), New York, NY:
Harper Collins Publishers.
SAS Institute (1990). SAS Language: Reference,
Version 6 (first ed.), Cary, NC: SAS Inc.
SAS Institute (1989). SAS/Stat-Vol. I and Vol.
II, Version 6 (4th ed.), Cary,
NC: SAS Inc.
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Reference
or Review Books
Hinkle, D.E., Wiersma, W. & Jurs, S. G.
(1997). Applied Statistics for the Behavioral
Sciences (4th ed.,), Boston, MA:
Houghton Mifflin.
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.
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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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URL:
http://www.indiana.edu/~jopeng/Y603/schedule.html
Comments: peng@indiana.edu
Dr. Peng's Home Page: Dr.
Chao-Ying Joanne Peng
Copyright
1998, The Trustees of Indiana
University
