PSYC 2444-001
Research Design and Statistics II
Spring 2015
Lecture:
Instructor: Dr. Madeline Rex-Lear
Class room: 122 Life Science (Lecture); 318 LS (Lab)
Class hours: Mon/ Wed 3.00-4:20pm
Office hours: Wed 11-12 or by appointment
Lab Coordinator:
Coordinator: Michael Natishyn
Email: michael.natishyn@mavs.uta.edu
Office: LS 536
Office hours: Mon/Wed 11am-12pm or by appt.
Contact information for Dr. Rex-Lear
Email: rexlear@uta.edu
Campus mailbox: Box 19528
Tutor: Meghan Babcock
Hours: Wed: 10.30-12pm AND Thurs 10.30-1.30pm
Office: Life Science 506
Contact: Meghan.babcock@mavs.uta.edu
Your Lab Teaching Assistant
Instructor:
Classroom: LS 318
Email:
Office & hours:
_____________________________________________________________________________________________________
Lab: Four (4) lab sections are available. You must be registered in lecture (PSYC 2444-001 and a lab section (PSYC 2444-002, 003, 004, or
005) concurrently. Please see the lab schedule for further information.
Course Information & Policy
Course description:
PSYC 2444. RESEARCH DESIGN AND STATISTICS II (3-2) 4 hours credit. Theoretical and practical approaches to research methodology, statistical analyses and techniques of
reporting research. Prerequisite: PSYC 2443.
Required texts and course materials: (Note: These are the same texts assigned to PSYC2443)
Required texts and course materials:
1)
2)
3)
Gravetter, F.J., & Wallnau, L.B. (2014) Essentials of Statistics for the Behavioral Sciences (8th ed.). Belmont, CA: Wadsworth. Cengage.
ISBN: 9781133956570
McBride, D, M. (2013). The Process of Research in Psychology (2nd ed.). Thousand Oaks, CA: Sage. ISBN: 9781412999557
Publication Manual of the American Psychological Association (6th ed.). Washington, D.C. APA. ISBN: 9781433805615
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A calculator with statistical functions (programmable calculators will not be permitted)
A 3 inch (minimum), 3-ring binder which will serve as your portfolio (optional)
This course will be computer/internet intensive. However, you do not need to own a computer to participate effectively in the class. However, you
will need to access and use the computers available to you on campus on routine bases that have SPSS access.
Required journal articles: Articles will be available on electronic reserve through BlackBoard.
Course goals:
This course consists of learning a variety of methods and procedures commonly used to conduct psychological research, analyzing the data collected in such
research, and communicating the research results to the scientific community.
Course structure: The course is divided into 3 modules: Module 1 spans weeks 1 through 5; Module 2, weeks 6-10; and Module 3, weeks 11-16. Exams
(lecture and lab) are given at the end of each module. There is no comprehensive final exam. This is a Blackboard assisted course so you will need to be
proficient in the use of Blackboard to perform well.
Assignments and exams:
Lecture The lecture grade will be based on three exam points adding up to 400 points. Each exam will be broken down to a multiple choice part given in the
lecture plus a short answer (statistical exercise) part given in the lab. Exam questions will be drawn from required reading, lecture material and class activities.
(See the lecture schedule for further details.)
If you are tardy on the day of the exam you will not be permitted to take the exam if any class member has completed the exam and left the room and will
earn zero “0” points. All make-up exams will be given at the discretion of faculty.
Lab. Exercises, research papers, and other assignments will be scheduled throughout the term. Unless otherwise instructed, all assignments must be
typewritten and in compliance with APA formatting. (See the lab schedule for further details.)
Responsibilities: You are responsible for all material contained in any handouts, all readings assigned for each lecture and lab, and for completion of all
assignments by the due dates. Assignments that are not handed in on due dates at specified times will receive ZERO credit NO EXCEPTIONS FOR LATE WORK
Attendance:
Lecture. Regular attendance is mandatory and will be taken on non-test days starting with the third lecture. Attendance will be recorded randomly 10 times
and up to 10 points will be awarded at the end of the semester – there are no make-ups for attendance points. Absentees will not be provided with lecture
notes, outlines or other materials from classes missed. No make-up exam will be given unless documentation is received for a University-approved absence
and are at the discretion of faculty approval.
Lab. Lab attendance is mandatory. The information you receive in the lab sections is necessary to aid you in writing papers and doing homework
assignments. The information obtained will carry over from the first semester into the second semester.
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Important lab notes:
Review: Given the “hands on” nature of instruction, Lab Attendance is crucial to your success in this course. You must attend every lab
meeting. The information you receive in the lab sections is necessary to aid you in writing papers and doing homework assignments. The
information obtained will carry over from the first semester into the second semester.
1. Assignments are due at the beginning of the lab meeting, within the first 10 minutes of lab.
2. Failure to hand in assignments on time will result in a grade of zero for that assignment.
3. Any work presented using previous assignments from other classes/projects is considered academic dishonesty (See Academic
dishonesty section below) and will not be accepted as gradable material.
If you are caught plagiarizing, you will receive a grade of “F” for the entire course.
If in doubt, ask your TA to look at your work and the sources that you are citing from before you hand in an assignment.
Similarly, if you are caught cheating on an exam, you will receive a grade of “F” for the entire course.
Make-up work:
For exams and homework you must make faculty and Lab TAs aware of any absence within 5 working days or you will not be permitted to make-up any
missed work or exams. THERE ARE NO MAKE-UPS FOR IN LAB ASSIGNMENTS - MISSED WORK WILL COUNT AS ZERO.
Extra credit:
Research participation through SONA will grant up to 5 extra credit points for the lecture portion. (You may participate in additional research voluntarily. Also
you may not use the same experiment for SONA credits in more than one course at a time.)
Grading: Point Distribution and Grading Policy
LECTURE POINTS
LAB POINTS
Total possible points = 800 (+5)
Letter
%
# of Points
Exam 1 (lecture)
Exam 2 (lecture)
Exam 3 (lecture)
Attendance
Extra credit
100 Lab 30
100 Lab 30
100 Lab 30
10
5
Manuscript
Poster Presentation
Embedded Assignments
100
100
200
Total Lecture
400 (+5)
Total Lab
400
A
B
C
D
F
90 - 100 %
80 - 90 %
70 - 80 %
60 - 70 %
<60%
716-800
636-715
556-635
476-555
<476
You will receive one course grade for your combined performance in the lecture and laboratory.
Students must receive a passing grade (a “C”) in both lecture and lab (278 points out of 400 possible points or 69.5 % in each section) to pass
the course and become eligible to enroll in upper-level courses that have 2444 as a prerequisite. Any student earning a “D” (238 -277.5 points out
of 400) or “F” (<238 points out of 400) in the lecture OR in the lab will receive a “D” or “F” as the final course grade. (Please note that the last day
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to withdraw from this course is April 3, 2015). We will also examine your grades to determine if you have a statistical outlier in your performance
and make adjustments to your final letter grade accordingly. Students who meet the minimum requirements of 278 points in BOTH lecture and
lab will have their final course grades calculated by adding their lecture and lab points together and assigning final letter grades as shown above:
(Note: while the short answer parts of the tests are given during labs, they are part of the lecture grade!) In lab, we will be using embedded
assessment techniques throughout the course for 2 major evaluation projects: The remaining points from the lab portion of the grade will be based
points on weekly assignments.
Be sure to check the schedule below for interim evaluation dates!
NOTE: Grades are calculated from the base points allotted in the syllabus – any extra points available are included to benefit you.
From the UT Arlington Undergraduate Catalog: Student Grievance Procedures Related to Grades. In attempting to resolve any student
grievances regarding grades, it is the student’s obligation first to make a serious effort to resolve the matter with the individual with whom the
grievance originated. Individual course instructors retain primary responsibility for assigning grades. The instructor’s judgment is final unless
compelling evidence shows discrimination, preferential treatment or procedural irregularities. For further information see:
http://www.uta.edu/catalog/general/academicreg
Important dates:
February 4: Census date
April 3:
Last day to drop courses
May 8:
Last day of classes (though this class only meets for lab in the final week)
Student Support Services:
 Computers in LS 314 are available for your use on weekdays 8 am-4.30 pm. (as per availability)
From the UT Arlington Undergraduate Catalog: Student Grievance Procedures Related to Grades: In attempting to resolve any student grievances regarding
grades, it is the student’s obligation first to make a serious effort to resolve the matter with the individual with whom the grievance originated. Individual
course instructors retain primary responsibility for assigning grades. The instructor’s judgment is final unless compelling evidence shows discrimination,
preferential treatment or procedural irregularities. For further information see: http://www.uta.edu/catalog/general/academicreg
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Library information: Useful information for psychology at http://libguides.uta.edu/psychology or simply go to the library (www.uta.edu/library) and
select Subject Guides and select Psychology.
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Writing Center: The UT-Arlington Writing Center (Central Library 411) offers assistance on a wide variety of writing assignments and needs. Contact:
www.uta.edu/owl/ (817.272.2601).

Other services can be obtained from the University. The University supports a variety of student success programs to help you: learning assistance;
developmental education; advising and mentoring; admission and transition; and information about federally funded programs. Students seeking
assistance with academic, personal or social problems should contact the Office of Student Success Programs at 817.272.6107 or see
http://www.uta.edu/uac/studentsuccess-home/ . Many students formerly enrolled in this class have found this web page to be very useful for a
variety of services!
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Drop for non-payment of tuition: If you are dropped from this class for non-payment of tuition, you may secure an Enrollment Loan through the Bursar’s
Office. You may not continue to attend class until your Enrollment Loan has been applied to outstanding tuition fees.
Academic dishonesty: It is the philosophy of The University of Texas at Arlington that academic dishonesty is a completely unacceptable mode of conduct and
will not be tolerated in any form.
Any form of academic dishonesty will be reported. “Scholastic dishonesty includes but is not limited to cheating, plagiarism, collusion, the submission for
credit of any work or materials that is attributable in whole or in part to another person, taking an examination for another person, any act designed to give
unfair advantage to a student or the attempt to commit such acts.” (Regents’ Rules and Regulations, Part One, chapter VI, Section 3, Subsection 3.2,
Subdivision 3.22.) All persons involved in academic dishonesty will be disciplined in accordance with University regulations and procedures. Discipline may
include suspension or expulsion from the University.
Americans with Disabilities Act: The University of Texas at Arlington is on record as being committed to both the spirit and letter of federal equal opportunity
legislation, reference to Public Law 93112—The Rehabilitation Act of 1973 as amended. With the passage of federal legislation entitled, Americans with
Disabilities Act (ADA), pursuant to section 504 of the Rehabilitation Act, there is renewed focus on providing this population with the same opportunities
enjoyed by all citizens. As required by law, we will provide reasonable accommodations to students with disabilities, so as not to discriminate on the basis of
that disability. However, the student is responsible for informing faculty at the beginning of the semester of a disability requiring special accommodation and
providing authorized documentation through designated administrative channels.
Title IX: The University of Texas at Arlington is committed to upholding U.S. Federal Law “Title IX” such that no member of the UT Arlington community shall,
on the basis of sex, be excluded from participation in, be denied the benefits of, or be subjected to discrimination under any education program or activity.
For more information, visit www.uta.edu/titleIX.
E-Culture Policy: The University of Texas at Arlington has adopted the University email address as an official means of communication with students. All
students are assigned an email account and information about activating and using it is available at http://www.uta.edu/oit/cs/email/mavmail.php. New
students (first semester at UTA) are able to activate their email account 24 hours after registering for courses. Students are responsible for checking their
email regularly. In this course, please communicate with the instructor, the tutor and teaching assistants by assigned emails only.
Student Evaluation of Teaching: Online evaluation forms provided by the University will be used for student course evaluation. Students will receive
notification of the opportunity to complete evaluation forms via University email. I strongly encourage you to complete these evaluations, they are important,
and do matter http://www.uta.edu/sfs.
Emergency Exit Procedures: Should we experience an emergency event that requires us to vacate the building, students should exit the room and move
toward the nearest exit. When exiting the building during an emergency, one should never take an elevator but should use the stairwells. Faculty members
and instructional staff will assist students in selecting the safest route for evacuation and will make arrangements to assist handicapped individuals.
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PSYC 2444 Lecture Schedule
Wk
1
2
Date
W 1/21
M 1/26
W 1/28
3
Lecture Topic
Instructor
2443 course review and 2444
course overview
Rex-Lear
Design decisions
Between groups designs
Mc Bride Chapter 14
G & W Ch 10
Week 3
W 2/4
F 2/6
Assignments Due



Lab Overview
Review APA format
All project info/Discussion
Decision Trees
ICA 1: 10pts
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Between Groups Design
Single Sample T-Tests
Random assignment
ICA 2: t-tests /random
numbers 10pts
Homework Assignment 1:
z-test/ library/references
(10 pts)

Confound Discussion
ICA 3: Independent t-tests
10 pts
Poster Template 10 pts
Dependent - T-Tests
ICA 4: Dependent t-test
10pts
Homework Assignment 3:
Independent t-tests (10 pts)
Exam 1 review
Homework Assignment 5:
SPSS (10pts)
Homework Assignment 2:
t-tests (10 pts)
Week 4
Matched participants
T test for 2 dependent samples
M 2/16
T test for 2 dependent samples
continued
W 2/18
Week 2
W 1/28F 1/30
Lab Exercises/Assignments (*)
Within groups designs
M 2/9
W 2/11
Date:
Week 1
W 1/21F 1/23
G & W Ch 9
M 2/2
W 2/4
5
Reading Assignments
T tests for one sample
T tests for 2 independent
samples
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Lab schedule
G & W Ch 11
W 2/11F 2/13
Week 5
W 2/18 F 2/20

Homework Assignment 4:
Dependent t- tests due in
class (10pts)
ICA 5: SPSS 10 pts
Review for Exam #1 (10 pts)
Manuscript Data:
Due 10 pts
Learning Objectives Module 1: At the end of this module, students should be able to:
(1) Explain between- and within-groups designs and compute the appropriate t statistic for each.
(2) Describe various types of confounds and the means for controlling or minimizing effects of confounds.
(3) Differentiate between experimenter effects and participant effects and how the design of experiments relates to these concepts.
(4) Explain and use random assignment; demonstrate use of a random number table
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Wk
6
Date
M 2/23
Lecture Topic
Instructor
Reading Assignments
Lecture Exam #1 (MC part 1)
W 2/25
Mc Bride Chapter 11
Date:
Week 6
W 2/25
F 2/27
Mixed and complex designs
Lab Exercises/Assignments (*)

Lab Exam #1 (WP part 2)

Preparing the Manuscript
Assignments Due
Manuscript Portion 1:
(Title, Intro, Methods,
Refs) (15 pts)
ICA 6: Concept Mapping
5 pts
7
M 3/2
W 3/4
ANOVA part I
Mc Bride Chapter 11
Mc Bride Chapter 14
Factorial designs
Understanding interactions
G & W CH 12
Week 7
W 3/4 F 3/6

Class Experiment: Managing
and Analyzing Data LOP
Concept MAP due 5pts
ICA 7: ANOVA 1-way 10 pts
POSTER REVIEW – discuss
process/format/templates/ info
required etc.
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9
M 3/93/13
Spring Break! No Classes or Labs
Week 8
M 3/16
ANOVA part II
Repeated measures
Mc Bride Chapter 14
Week 9
W 3/18 F 3/20
G & W CH 13
W 3/18
SPRING BREAK
ICA 8: Complex ANOVAS 10 pts
POSTER REVISIT
Poster (Title, Intro,
Methods, Refs) (20 pts)
Homework Assignment 6
ANOVA 1-way (10pts)
Effect size
10
M 3/23
W 3/25
11
M 3/30
W 4/1
Review for Exam # 2 (10 pts)
Conferences & Presentation type
MC Bride Chapter 8
Week 10
W 3/25F 3/27
ICA 9: ACES/Poster
assignment 10 pts)
Attend ACES MARCH 25
Lecture Exam # 2 (MC part 1)
Planned and post hoc
comparisons
Elements of proposal writing
Exam 2 review
G & W CH 12.6
Week 11
W 4/1F 4/3
Homework assignment 7
SPSS (10pts)
Manuscript Portion 2:
Results, Disc, Fig’s /
Tables, Abstract) 15 pts
Lab Exam #2 (WP part 2)
Poster recap/ Manuscript recap
Poster
(Results, Disc, Fig’s /
Tables, Abstract) (20 pts)
Learning Objectives Module 2: At the end of this module, students should be able to:
(1) Explain the costs and benefits of using designs with more than 2 levels of an independent variable.
(2) Identify designs that use ANOVA, compute one-way randomized and repeated measures ANOVA and interpret results.
(3) Describe effect size and compute and interpret Cohen’s d.
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Wk
12
Date
Lecture Topic
I
nstructor
M 4/6
W 4/8
Quasi designs
Developmental designs
Analysis of quasi designs
Mc Bride Chapter 12 & 13
Date:
Lab Exercises/Assignments
Assignments Due
Week 12
W 4/8 –
F 4/10
ICA 10: Designing Surveys 10 pts
Manuscript Rough Draft
(10 pts) interactive class
exercise
Psychology Dept: Faculty Profiles
Surveys and sampling
Analysis of survey designs
13
Poster Rehearsals (students only)
M 4/13
Week 13
W 4/15F 4/17
Case studies
W 4/15
14
Power & Hypothesis Testing
M 4/20
W 4/22
Professional development
Graduate study
Majoring in Psychology
Week 14
W 4/22
F 4/24
Advisor TBA
GROUP POSTER
PRESENTATIONS - in class
(50 pts)
Exam 3 Review
SPSS Workshop
M 4/27
Review for Exam # 3 (10 pts)
W 4/29
16
W 5/6-5/8
Manuscript Final draft
(45 pts)
Homework assignment 9:
SPSS (10 pts)
Careers in Psychology
15
Homework Assignment 8
Survey/research (10pts)
Psychology Dept/ Faculty
Profile (TBA)
Manuscript Peer Review
(5pts)
Review all chapters for Module 3
Week 15
W 4/29
F 5/1
Lab Exam # 3 (WP part 2)
Lecture Exam # 3 (MC part 1)
Poster & Manuscript Feedback by Appointment IN LABS ONLY
Week 16
Homework assignment 10:
(10 pts)
Learning Objectives Module 3: At the end of this module, students should be able to:
(1) Describe statistical techniques for planned and post hoc comparisons; compute Tukey’s post hoc test and interpret results
(2) Explain what quasi designs are and when and how they are used.
(3) Review surveys and sampling methods; review case studies and their value for psychology.
(4) Describe the career paths of those majoring in psychology and the occupational opportunities that will exist in the future.
(5) Identify the elements of presenting data in different media and compare components to the manuscript.
(6) Understand and experience the basics of conference presenting and poster composition and data presentation
Exams: “MC” means “multiple choice”: “WP” means statistics word problems.
Note (*) Lab assignments and topics are subject to change.
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