Psy 633 Statistics/Methods for School Psychologists
Course ID: 000940 Fall 2013
Instructor: Christine Malone, Ph.D. | Office: Bridges 360 G |
Email: malonech@mnstate.edu | Phone: 218-477-2804 |
Office: MWF 11 - noon; TH 9 – 11:45 and by appt. |
Website:
http://web.mnstate.edu/malonech |
Class Meets: MW 1:00 - 1:50 in BR 267 |
12/18/13 Here are the final grades for this course. Open the Excel spreadsheet and look up your grades using the ID# I assigned to you. If you have any questions or concerns about your grades, please see me in person when classes resume in January. Thanks and happy holidays to you all! Psy 633 Grade Sheet
WEEK |
TOPIC
|
1 |
Course Introduction |
2
|
No classes 9/2 due to labor day
holiday
|
3 |
Experimental Research
vs.
Quasi-Experimental Research |
4 |
Correlational Research
vs. Causal-Comparative Research |
5 |
Descriptive Research:
Observational and Surveys |
6 |
Reliability and Validity
Read the
Construct Validity and
Reliability sections from the
Research Methods Knowled |
7
|
Hypothesis
Testing Paired Samples t-test Salkind & Green p. 163-181 |
8 |
No classes 10/14 due to Fall
Breather
Midterm Exam due beginning of
class 10/16 |
9
|
ANOVA |
10
|
ANOVA--
Read Green & Salkind p.183-208 |
11
|
Bivariate Correlation &
Regression |
12 |
Multiple Regression |
13 |
MANOVA---read Green & Salkind p.
222-231 |
14 |
ANCOVA-MANCOVA Green &
Salkind p. 209-231 |
15
|
Parametric vs. Nonparametric
Statistics Green & Salkind
p. 357-376 |
12/9 |
Wrap up--Attendance
Required--Lab Assignment 5 due
at beginning of class |
Required text: Using SPSS for Windows and Macintosh: Analyzing and Understanding Data (6th Edition) by Samuel B. Green & Neil J. Salkind
Course Description
Principles of univariate, bivariate and non-parametric statistics, including
inferential tests, correlation, and regression, as well as critical analysis and
interpretation of school-psychology relevant research articles. Includes
principles of experimental, quasi-experimental, and correlational research,
focusing on designs, validity, power, effect size, and ethical principles.
Pre-requisite: One course in statistics.
Student Learning Outcomes:
Academic Honesty:
http://web.mnstate.edu/sthandbook/policiesprocedures/academichonesty.cfm
On-line Resources
Berger, D. (2005). Web Interface for Statistics Education.
Lane,
D. M. (2006). Rice Virtual Lab in Statistics.
Plous,
S. (2007). Research Methods and Statistics Links by Subtopic. Social
Psychology Network.
http://www.socialpsychology.org/methods.htm
StatSoft, Inc. (2007). Electronic Statistics Textbook.
Expectations: Students are
expected to attend all classes, participate actively in discussions of assigned
readings, complete all in-class and homework exercises, and pass a mid-term and
final exam.
Evaluation and Grading: Below
is a general list of assignments for this semester.
Specific assignments and due dates will be discussed in class and posted
on the course website.
Grades will be assigned using the following scale:
A = 90-100% B = 80-89% C =
70-79%
Policies:
Late work without a documented excuse will be penalized grade-wise:
-- 15 percent per school
day.
All work will look professional – e.g., typed, well organized,
properly referenced, etc. (If unsure,
ask the instructor).
Special Accommodations:
Students with disabilities who believe they may need an accommodation in this
class are encouraged to contact Greg Toutges, Director of Disability Services at
477-4318 (Voice) or 1-800-627-3529 (MRS/TTY), Flora Frick 154 as soon as
possible to ensure that accommodations are implemented in a timely fashion.
Information regarding Disability Services is available at
http://web.mnstate.edu/disability.