Carlos Albizu University
PSYD 719 FUNDAMENTALS OF STATISTICAL REASONING
SYLLABUS FOR SUMMER 2014
Instructor:
Eshagh Shehniyilagh, Ph.D. Licensed Psychologist
Office: Room
Course Meets: Sec A Mondayss 3:30pm-6:00pm
e-mail: shehni@bellsouth.net
Phone: (954)704-0610
Office hours: by appointment
Required Text:
Gravetter, F.J. & Wallnau, L.B. (2013). Statistics for the Behavioral Sciences, 9th Edition. Wadsworth
Cengage Learning ISBN-13: 978-1-111-83099-1 ISBN-10:1-111-83099-1
Recommended Texts:
David C. Howell (2013) Statistical Methods for Psychology, 8th Edition, Wadsworth, Cengage Learning, ISBN: 978-1111-83548-4
Gravetter, F.J. & Wallnau, L.B. (2014). Essentials of Statistics for the Behavioral Sciences, 8th Edition. Wadsworth
Cengage Learning ISBN-13-978-0-538-75497-2 ISBN-10:0-538-75497-4
Course Description: This course is designed for students who have desire a greater understanding of social science
data and statistics commonly used in behavioral research. Emphasis will be placed on practical application of statistical
theories and techniques for social science data, the use of statistical computer software such as SPSS and AMOS, and the
interpretation and production of statistical tables and charts. Students will also learn how to read a research report and
interpret the statistical results generated from a computer package.
Course Objectives: The objectives of the course are to enable students to use statistical procedures in research
methodologies and test construction.
Objectives:
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Know the basic statistical procedures
Know the Probability and normal distribution such as z-score
Know the logic of hypothesis testing
Know the hypothesis test applied to statistical procedures such as t statistics
Know the use of SPSS for calculations of several quantitative methods of statistics
Know an overview of estimation and “Power”
Learn how to read a research article and what to look for in a research.
Learn how to report the results of Analysis of Variance
Find a research article in an APA Research Journal and present it to the class
Know the logic of Analysis of Variance and Post Hoc Tests
Learn about Correlations and Regression
Know the Difference between Parametric and Nonparametric Statistical Tests
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Learn about Chi-Square Test for Goodness of Fit and Meta-Analysis
Course Requirements:
Reading, Writing, Critical Thinking, Use of Technology such as SPSS, and using power point for presentation
Methods of Evaluation:
Grading Criteria:
The format for the exams will be multiple choice questions and problem calculations. The exams will cover all the
materials discussed in the class, the readings, handouts, lectures, review questions, and assignments.
Pretests and posttests do not affect the grades. They are designed for assessment purposes only.
1. Quiz 1
30% Consists of 30 multiple choice questions; each question is worth one point.
2. Midterm exam 60%, 28 multiple choice questions (one point each) and 4 problem calculations (8 points each).
3. 2 SPSS printouts 5 points each=10% of midterm grade (Assignment 1)
Midterm grade is consisting of 1, 2, and 3. 30+60+10=100
4. Quiz 2
20% Consists of 20 multiple choice questions; each question is worth one point.
5. Final exam 60%, 28 multiple choice questions (one point each) and 4 problem calculations (8 points each)
6. Research Paper PowerPoint Presentation ………………………………………………….. 10%
Find any quantitative research article in an APA journal and discuss its Method and Result. You must present to the class
in order to receive the full credit.
7. 4 SPSS printouts 2.5 points each=10% of final exam grade. (Assignment 2)
Your final exam is consisting of 4, 5, 6, and 7.
20+60+10+10=100
Your final grade consists of midterm and final Exam.
Exam questions are consisted of handouts, class lectures, text books, review questions and assignments.
Grading Scale:
% Score
Grade
90-100
A
% Score
Grade
80 - 89
B
% Score
70-79
Grade
% Score
C
60 - 69
<60
Grade
D
F
Attendance Policy:
Class attendance is mandatory for all students. Upon the THIRD absence, the student will be dropped from the class
automatically unless the professor recommends otherwise. Past experience suggests that missing classes has severe
negative consequences.
Late Penalty:
PSYD 719
Turning in assignments late (that means NOT at the start of a class for which it is due) will result in a 10% reduction
penalty PER DAY.
Calendar of Readings and Assignments:
Topical Outline
Week
Week 1
Week 2
Week 3
Week 4
Week 5
Week 6
Week 7
Week 8
Week 9
Week 10
Week 11
Week 12
Week 13
Week 14
Date
5/5
5/12
5/19
5/26
6/2
6/9
6/16
6/23
6/30
7/7
7/14
7/21
7/28
8/4
**this outline is subject to change**
Topics
Class Begins!!!! Introduction to course/syllabus, (SPSS tutorial) Pretest,
Chapters 1 and 2
Chapters 3, 4,
Memorial Day Weekend No Class
chapters 5 ,6
Quiz 1 on Chapters 1, 2, 3, 4 and 5 (subject to change)Chapter 7
Chapter 8, 9
Midterm Exam on Chapters 1-8 (Open book) SPSS printouts are due
Chapter 10,
Chapters 11 and 12
Chapter 15
Chapter 16 Quiz II on Chapters 8,9,10, 11, and 12 (subject to change)
Chapter 17 and 18
Research Paper PowerPoint Presentation
Week 15
8/11
Final Exam (Open book) Chapters 9-13, and 15-17
2 SPSS printout are due. All assignments are due.
Supplemental Readings:
1.
Kaplan, R.M. & Saccuzzo, D.P. (2005). Psychological Testing: Principles, Applications, and Issues (6th ed.).
Belmont, CA., Thomson Wadsworth. ISBN: 0 534 63306 4
2.
Salkind, Neil, J. (2006). Tests & Measurement for People Who (Think They) Hate Tests & Measurement
Thousand Oaks, CA: Sage Publications.
3.
Nunnally, J. C. & Bernstein, I. H. (1994). Psychometric theory. (3rd ed.) New York: McGraw Hill.
4.
Thompson, B. (Ed.). (2003). Score reliability: Contemporary thinking on reliability issues. Thousand Oaks, CA:
Sage Publications.
5.
Educational and Psychological Measurement [journal devoted to measurement and testing issues]
6.
Psychometrica [journal devoted to statistical, measurement and testing issues]
7.
Journal of Applied Psychology [journal that sometimes has research and comment on measurement and testing
issues]
8.
Conoley, J. C. & Kramer, J. J., (Eds.). The tenth mental measurements yearbook. Lincoln, Nebraska: Buros
Institute of Mental Measurement. [See also other editions and annual supplements before and since then]
9.
Corcorren, K. & Fisher, J. Measures for clinical practice: A sourcebook. New York: The Free Press.
10.
Against All Odds. (26 half hour programs covering most of statistics available in the Albizu Library).
3
X
µ
Specific Score or Whole set of numbers
Population Mean
M or x̅
Sample Mean
2
Standard Deviation of Population
Variance of Population
S
s2
Standard Deviation of Sample
Variance of Sample
n
N
D
Total number of subjects in a Sample
Total number of subjects in a Population
Difference
α
β
Type I Error, Also Level of significance
Type II Error
H0
H1
Null Hypothesis
Alternative Hypothesis
M
Standard Error of the Mean
sM
Estimated Error of the Mean
SS
Sum of Square Deviation from Mean
MD
df
±
=
≠
>
≥
Mean Difference
Degrees of Freedom
Plus and Minus
Equal
Unequal
Greater
Greater or Less than
√
≈
∞
<
≤
Σ
☺
Square Root
Almost equal
Infinite
Less than
Less than or Equal
Sum of or Summation
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