Student handbook
Table of contents
Note: Courses taken to satisfy departmental core
area requirements must be taken A/F, not S/N.
Appendix A
On this page
M.A. curriculum
Ph.D. curriculum
QME M.A. curriculum
(Concentration in measurement and accountability, statistics, or
statistics education available)
It is assumed that master’s students will generally begin their
studies in the fall semester and follow the sequence of courses below.
Semester 1 (10 credits)
EPSY 5221—Principles of Educational and Psychological Measurement (4 cr)
EPSY 8261—Statistical Methods I: Probability and Inference (3 cr) +
Psy 5014—Psychology of Human Learning and Memory (3 cr) ++ **
Semester 2 (minimum of 9 credits)
Psy 5202—Attitudes and Social Behavior (3 cr) ++ **
EPSY 5243—Principles and Methods of Evaluation (3 cr)
EPSY 5247—Qualitative Methods in Educational Psychology (3 cr)
EPSY 8262—Statistical Methods II: Regression and the General Linear
Model (3 cr)
Semester 3 (minimum of 9 credits)
EPSY 5244—Survey Design, Sampling, and Implementation (3 cr)
EPSY 5271—Becoming a Teacher of Statistics (3 cr) a
EPSY 5281—Introduction to Computer Operations and Data Analysis in
Education and Related Fields (3 cr)
EPSY 8264—Advanced Multiple Regression Analysis (3 cr) c
Semester 4 (minimum of 7 credits)
EPSY 5222—Measurement and Analysis: K-12 Education
Accountability (3 cr) b
MThe 5171—Teaching Problem Solving (3 cr) *** a
MThe 5314—Teaching and Learning Mathematics *** a
EPSY 5991 or 8993—Independent or Directed Study (3 cr) [or
EPSY 5272 for statistics education internship]
Total credits 35 &
Reminder: In addition, 6 cr of EPSY 5991 or 8994
required for Plan B paper
a Primarily for students whose emphasis is in
statistical education
b Primarily for students whose emphasis is in
measurement and accountability
c Primarily for students not emphasizing measurement
and accountability or statistical education
* Students interested in evaluation may study for
the M.A. with an emphasis in measurement and accountability
+ Students must have had an introductory statistics
course prior to registering for EPSY 8261
++ Satisfies the learning and/or social psychology
requirement
** Other courses that can be substituted are listed
in the Educational Psychology Graduate Program Handbook
*** For students emphasizing Statistical Education MThe 8571—Research in Math Education may be substituted.
& 41 credit minimum for students
emphasizing statistical education
Ph.D. curriculum
1. Foundations/ed psych core requirements (minimum of 15
credits)
EPSY 8215—Advanced Research Methodologies in Education (3 cr)
EPSY 8216—Seminar: Research Processes in Psychological Foundations
of Education (3 cr)
EPSY 8905—History and Systems of Psychology: Landmark Issues in
Educational Psychology (3 cr)
Complete courses from a menu that meet the following requirements:
social psychology or personality (3 credits); learning and cognition
(3 credits)
Learning (4 credits) and social psychology (3 credits) courses to be
selected from a menu
2. Required QME courses (minimum of 32
credits)
EPSY 5221—Principles of Educational and Psychological Measurement (4 cr)
EPSY 5243—Principles and Methods of Evaluation (3 cr)
EPSY 5244—Survey Design, Sampling, and Implementation (3 cr)
EPSY 5247—Qualitative Methods in Educational Psychology (3 cr)
EPSY 5281—Introduction to Computer Operations and Data Analysis in
Education and Related Fields (3 cr)
EPSY 8222—Advanced Measurement: Theory and Application (4 cr)
EPSY 8261—Statistical Methods I: Probability and Inference (3 cr)
EPSY 8262—Statistical Methods II: Regression and the General Linear
Model (3 cr)
EPSY 8264—Advanced Multiple Regression Analysis (3 cr)
3. Specialization courses in QME (minimum of
12 credits)
EPSY 5246—Evaluation Colloquium: Psychological Foundations (1 cr)
EPSY 5271—Becoming a Teacher of Statistics (3 cr) *
EPSY 8221—Psychological Scaling (3 cr)
EPSY 8266—Statistical Analysis Using Structural Equation Methods (3
cr)
EPSY 8267—Applied Multivariate Analysis (3 cr)
EPSY 8271—Statistics Education Research Seminar: Studies in Teaching and Learning Statistics (3 cr)
EPSY 8281—Advanced Statistical Computing and Data Analysis (3 cr)
EPSY 8282—Statistical Analysis of Longitudinal Data (3 cr)
EPSY 8290—Profile Analysis (3 cr)
EPSY 8290—Performance Assessment (3 cr)
EPSY 8290—Hierarchial Linear Models in Educational Research (3 cr)
EPSY 8290—Nonparametric Statistics in Educational Research (3 cr)
EPSY 8290—Meta-Analysis (3 cr)
EPSY 8290—Research in Teaching and Learning Statistics (3 cr)
EPSY 8295—Evaluation Problems (1-6 cr)
EPSY 8296—Evaluation Internship (1-9 cr)
4. Specialization courses outside EPSY (minimum of 12 credits)
MTHE 5171—Teaching Problem Solving (3 cr)
MTHE 5314—Teaching and Learning Mathematics (3 cr)
MTHE 8571—Research in Mathematics Education (3 cr)
Psy 8884—Factor Analysis and Latent Variable Models (3 cr)
Psy 8886—Hierarchical Models (3 cr)
STAT 5101—Theory of Statistics I (4 cr)
STAT 5102—Theory of Statistics II (4 cr)
STAT 5421—Analysis of Categorical Data (3 cr)
EDPA 8502—Program Evaluation Theory and Models: Qualitative
and Quantitative Alternatives (3 cr)
Psy 5135—Psychology of Individual Differences (3 cr)
Psy 8882—Seminar in Psychometric Methods (3 cr)
5. Doctoral internship (3 cr)
EPSY 5272, 5273, 8296 or 8993
6. Dissertation (24 cr)
EPSY 8888
Total Credits (98)
* Primarily for students emphasizing statistical education
Table of contents
Revised November 2004
|
