SETON HALL UNIVERSITY
COLLEGE OF EDUCATION AND HUMAN SERVICES
Department of Educational Administration and Supervision
 
   
Course Title: 
 


Professor: 
 
 

Intermediate Statistics 
EDAS  8616 NW

 
John W. Collins, Jr., Ed.D. 

Seton Hall University

Department of Education Leadership, Management and Policy 

421 Kozlowski Hall

South Orange, NJ 07079

Office: (973) 275-2823 
Email: collinjo@shu.edu 
 
Office Hours: 
Monday & Wednesday 1:00 - 4:00p.m. or by appointment. 
 
Textbook: 
Witte, Robert & Witte, John. (2001) Statistics (6th ed.). New York: Harcourt Brace & Co. 
Catalog Description: 
This is an extension of statistical methods needed for problems faced by researchers in educational administration.  Topics include multiple correlation, regression analysis, and exploration of various complex analysis of variance procedures.
Overview: 
This is a course in intermediate statistics that is designed for students that have successfully completed the prerequisite statistics course (EDAS 6005 or its equivalent).  The purpose of this course is to provide coverage of the intermediate statistical methods normally found in research and work applications.  The emphasis will be placed on using statistics to address real problems, not making the student memorize scores of statistical formulae. 

Many students view statistics as a mechanical way of analyzing information, asserting that if the calculations are done properly, that correct results can be routinely expected.  This course will use the experience base of the entire class and move each of us forward by applying the mechanical portion of statistics to our day-to-day lives.  The intent is to give students a greater awareness of how statistics can interact in our decision-making processes and help in acquiring a "gut" instinct about statistics. 

The material covered in this course will go beyond descriptive statistics by expanding our knowledge base through inferential statistics.  Also, qualitative statistical methods will be introduced.  Practice in class and at home will be integrated into our studies.  The delivery approach will be Socratic, allowing everyone the opportunity to full immerse themselves into discussions and explanations.  This approach will closely simulate our work environments and daily use of statistical information. 
 
Course Objectives: 
Upon completion of this course, students will be able to understand, apply, analyze, synthesize and evaluate the following concepts- 
    1. Importance of variability in statistics.
    2. Hypothesis testing.
    3. Using p values. 
    4. Correlations and Partial Correlations.
    5. Prediction and Linear Regression
    6. Bivariate vs. Multivariate Statistics
    7. SPSS.
    8. Analysis of Variance (ANOVA): one way.
    9. Chi-Square testing for qualitative data.
    10. Multiple Regression.
    11. Practical implications for Administrators.
    12. Other statistical tests.
     
Course Evaluation: 
 
Percentage of Grade
 
  • Class participation and end of chapter review exercises
50%
 
  • Midterm Assessment
25%
 
  • Final Assessment
25%
Disabilities Act Disclosure

 

 

 Under the Americans with Disabilities Act and Section 504 of the Civil Rights Restoration Act, students at Seton Hall University who have a disability may be eligible for accommodations in this course. Should a student require such accommodations, he or she MUST self-identify at the Office for Disability Services (DSS) Room 67, Duffy Hall, provide documentation of said disability, and work with DSS to develop a plan for accommodation. The contact person is Mrs. Linda Walter at (973) 313-6003.
Additional Recommended Readings: 
 
  Bogdan, Robert & Biklen, Sari. (1998). Qualitative research for education: An introduction to theory and methods. Boston: EMC Allyn and Bacon. 

George, D. & Mallery P. (2001). SPSS for Windows: Step by Step (10.0 update). Boston: Allyn & Bacon.

George, D. & Mallery P. (2000). SPSS for Windows: Step by Step (9.0 update). Boston: Allyn & Bacon.

Heiman, G.W. (2000). Basic Statistics for the Behavioral Sciences (3rd ed.). Boston: Houghton Mifflin Company. 

Hinkle, D.E., Wiersma, W. & Jurs, S.G.  (1998) Applied Statistics for the Behavioral Sciences. Boston: Houghton Mifflin Company.

Krathwohl, D. R. (1998).  Educational & social science research: An integrated approach. New York: Addison Wesley Longman, Inc.

Levin, J. & Fox, J. A. (2000). Elementary Statistics in Social Research (8th ed.). Boston: Allyn & Bacon.

Lowry, R. (1998-2000). VassarStats: Web Site for Statistical Computation. Available [On-line] http://faculty.vassar.edu/~lowry/VassarStats.html  Poughkeepsie, NY: Vassar College.

SPSS® 10.0 (2000).  User’s Guide. Chicago: SPSS, Inc.

SPSS® 9.0 (1999).  User’s Guide. Chicago: SPSS, Inc.

Witte, R & Witte, J., Prepared by Smith, G.S. (2001).  Student Workbook to accompany Statistics (6th ed.).  New York: Harcourt Brace & Co.