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SO 307 Statistics for Social Sci.
Smyre, James R.

Mission Statement: Park University provides access to a quality higher education experience that prepares a diverse community of learners to think critically, communicate effectively, demonstrate a global perspective and engage in lifelong learning and service to others.

Vision Statement: Park University, a pioneering institution of higher learning since 1875, will provide leadership in quality, innovative education for a diversity of learners who will excel in their professional and personal service to the global community.


SO 307 Statistics for Social Sci.


U1UU 2013 CN


Smyre, James R.


Adjunct Professor of Psychology and Mathematics


B.S., M.Ed., E.M.E.M., M.Ed., I.S.D.S., Ed.S.

Office Location

Building 221, CAFB

Office Hours

By appointment

Daytime Phone


Other Phone



Web Page

Semester Dates

June 03 to July 28 2013

Class Days


Class Time

4:30 - 9:45 PM


An introductory social science class (i.e., SO141, PS101, CJ100, or SW205) and MA131 or equivalent.

Credit Hours


Healey, J.F. (2012). Statistics: A tool for social research (9th ed.).  Stamford, CN: CENAGE Learning-Wadsworth.

IBM Statistics SPSS Standard GradPack 19 (6 month rental), available at

Huff, D. (1954/1993). How to lie with statistics (1993 Reissued ed.). NewYork, NY: W.W. Norton & Co.
ISBN 0-393-09426X

Textbooks can be purchased through the MBS bookstore

Additional Resources:
Additional Readings as necessary.

McAfee Memorial Library - Online information, links, electronic databases and the Online catalog. Contact the library for further assistance via email or at 800-270-4347.
Career Counseling - The Career Development Center (CDC) provides services for all stages of career development.  The mission of the CDC is to provide the career planning tools to ensure a lifetime of career success.
Park Helpdesk - If you have forgotten your OPEN ID or Password, or need assistance with your PirateMail account, please email or call 800-927-3024
Resources for Current Students - A great place to look for all kinds of information

Course Description:
SO307 Statistics for Social Sciences: Statistical methods are a primary tool for all of the social and behavioral sciences. This course introduces a wide variety of common statistical techniques and their conceptual bases, including: basic descriptive and inferential statistics, analyses of association and variance, effect sizes, and others in their parametric and nonparametric forms. It provides a background in the relevant theories of provability, sampling, and measurement. And the student will learn how to become a more discerning consumer of statistical information as well as gaining practical experience calculating these statistics by hand and computer. Prerequisites: MA 131 and an introductory social science class (i.e., SO141, PS101, CJ100 or SW 205)

Educational Philosophy:
The pedagogical experience with adults, particularly military, is unique and requires a spectrum of different and unique instructional delivery systems.  Lecture, group study, media and individual research topics (particularly current research), inter alia are all integrated in this particular course.  Optimally, the student will learn statistical tools that apply to social sciences and consequently will provide a sound foundation for academic research in subsequent courses and career.

Learning Outcomes:
  Core Learning Outcomes

  1. Identify poor statistical reasoning and evaluate the quality of statistical data and the conclusions drawn from it.
  2. Operationalize a theoretical question or practical concern as a testable hypothesis.
  3. Identify the principles of sampling and determine which is appropriate for a given research problem.
  4. Demonstrate the principles of measurement, including index and scale construction, and how those choices guide the application of specific statistical techniques.
  5. Identify and apply the logic and importance of effect size and statistical significance.
  6. Demonstrate an ability to reason from samples to populations, and recognize the limitations of statistical inference.
  7. Interpret and evaluate basic descriptive statistics and correlations.
  8. Apply common parametric and nonparametric statistical techniques.
  9. Demonstrate competency with the general linear model (GLM), including simple and multiple regression, dummy regression, and analysis of variance (ANOVA).
  10. Collect, analyze, and critically evaluate empirical data.
  11. Present research results to specific audiences.

Core Assessment:

Data Analysis Project: (max. 2500 words, plus tables and figures) Students will be provided with a data set and asked to respond to the following: “tell me everything interesting about these data.”   The essay must include the following components:

1.       A clear hypothesis (or set of related hypotheses) that is defensible and testable, given the available data. This includes identifying each variable, discussing how they are measured and constructed, and how the student hypothesizes their relations.

2.       Calculation and discussion of the descriptive statistics, and direct, part and partial correlations (when relevant), for the chosen variables.

3.       Application of more than one advanced statistical technique (regression or ANOVA variants), including a discussion of effect size and statistical significance), and a comparison of those results.

4.       Analysis of statistical significance for all relevant statistics. Discuss the prospects for generalization from these data.

5.       Critical evaluation of the strengths and weaknesses of the data and their chosen analyses.

6.       Discussion of the practical implications of their findings for real people and policies. Explain how these data might be used, and by whom.

7.       Suggestions for future data collection and analysis that could advance our understanding of their research question beyond what is available through the current data.

In this assignment, the student will be asked to identify patterns in the data, demonstrate competency with appropriate hand and computer-aided calculations, defend their analytical choices, and translate what these numbers mean in plain language. All reasoning and conclusions must be explained and supported through references to specific statistical procedures and results. You will be judged on the quality, clarity, and completeness of your choices, analyses, and presentation.

Link to Class Rubric

Class Assessment:
See detailed instructions and rubrics for all assignments in the SO307 course shell at

Core Assessment (200 points = 20%)
The CA is a small data analysis project and the take home portion of your final examination.

Pre-Test (30 points = 3%): timed online multiple-choice quiz of algebraic proficiency.

Regular Assignments (380 points total = 38%): unit problem sets and short answer conceptional and application questions.
Unit 1 Assignment (80 points = 8%)
Unit 2 Assignment (60 points = 6%)
Unit 3 Assignment (60 points = 6%)
Unit 4 Assignment (60 points = 6%)
Unit 5 Assignment (60 points = 6%)
Unit 6 Assignment (60 points = 6%)

Discussion and Participation (25 points x 8 = 200 points = 20%)
Participate in all discussions each week, on time and according to instructions, for a possible 25 points each week.

Unit Quizzes (20 points x 7 = 140 points total = 14%)
Complete each of the seven multiple choice quizzes on time and according to instructions for a possible 20 points each.

Proctored Final Exam (50 points = 5%)
Complete the multiple choice section of the final examination on time and according to instructions.

Total Points Possible = 1000

A >= 900
B = 800-899
C = 700-799
D = 600-699
F <= 599

See attached file (2008Rubric.pdf) and the online course shell for additional details.
All assignments must be submitted through the "Dropbox" in the online course shell for grading.

Late Submission of Course Materials:
It is understood that with military, one must be fluid (flexible is too rigid) with respect to TDY, sudden orders in wartime and peace time, emergent scenarios, inter alia.  Every effort will be made to evaluate late submittals of assignments and other work to the benefit of the student on a case-by-case basis. 

Classroom Rules of Conduct:
Please refer to current Park University Catalog, UCMJ, and ancillary publications.

Course Topic/Dates/Assignments:

 Week Topic
 1  Speaking Statistics
 Pre-quiz, Quiz 1
 2  Descriptive Statistics
 Quiz 2, Assignment 1
 3  Probability & Inference
 Quiz 3, Assignment 2
 4  Statistical Significance
 Quiz 4, Assignment 3
 5  Statistical Association I
 Quiz 5, Assignment 4
 6 Statistical Association 2   Quiz 6, Assignment 5
 7  Multivariate Analysis
 Quiz 7, Assignment 6
 8  Summary & Review
 Final Exam, Core Assessment

Academic Honesty:
Academic integrity is the foundation of the academic community. Because each student has the primary responsibility for being academically honest, students are advised to read and understand all sections of this policy relating to standards of conduct and academic life. Park University students and faculty members are encouraged to take advantage of the University resources available for learning about academic honesty ( or Park University 2012-2013 Undergraduate Catalog Page 97

Plagiarism involves the use of quotations without quotation marks, the use of quotations without indication of the source, the use of another's idea without acknowledging the source, the submission of a paper, laboratory report, project, or class assignment (any portion of such) prepared by another person, or incorrect paraphrasing. from Park University 2012-2013 Undergraduate Catalog Page 95

Attendance Policy:
Instructors are required to maintain attendance records and to report absences via the online attendance reporting system.

  1. The instructor may excuse absences for valid reasons, but missed work must be made up within the semester/term of enrollment.
  2. Work missed through unexcused absences must also be made up within the semester/term of enrollment, but unexcused absences may carry further penalties.
  3. In the event of two consecutive weeks of unexcused absences in a semester/term of enrollment, the student will be administratively withdrawn, resulting in a grade of "F".
  4. A "Contract for Incomplete" will not be issued to a student who has unexcused or excessive absences recorded for a course.
  5. Students receiving Military Tuition Assistance or Veterans Administration educational benefits must not exceed three unexcused absences in the semester/term of enrollment. Excessive absences will be reported to the appropriate agency and may result in a monetary penalty to the student.
  6. Report of a "F" grade (attendance or academic) resulting from excessive absence for those students who are receiving financial assistance from agencies not mentioned in item 5 above will be reported to the appropriate agency.

Park University 2012-2013 Undergraduate Catalog Page 98

Disability Guidelines:
Park University is committed to meeting the needs of all students that meet the criteria for special assistance. These guidelines are designed to supply directions to students concerning the information necessary to accomplish this goal. It is Park University's policy to comply fully with federal and state law, including Section 504 of the Rehabilitation Act of 1973 and the Americans with Disabilities Act of 1990, regarding students with disabilities. In the case of any inconsistency between these guidelines and federal and/or state law, the provisions of the law will apply. Additional information concerning Park University's policies and procedures related to disability can be found on the Park University web page: .


CompetencyExceeds Expectation (3)Meets Expectation (2)Does Not Meet Expectation (1)No Evidence (0)
Analysis & Evaluation                                                                                                                                                                                                                                      
5, 7, 8, 10                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                          
There are at least 5 different well-selected and appropriate statistical techniques (and their results) chosen, justified, and explained There are at least 4 different well-selected and appropriate statistical techniques (and their results) chosen, justified, and explained There are less than 4 different well-selected and appropriate statistical techniques (and their results) chosen, justified, and explained  
3, 4, 6, 9                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           
All analyses are correctly executed in appropriate detail with no errors. Most analyses are correctly executed in appropriate detail with few errors. At least two significant or many minor errors.  
Whole Artifact                                                                                                                                                                                                                                             
1, 2, 11                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                             
No literacy or numeracy errors and presented in correct format for specified audience. Few literacy or numeracy errors and presented in a mostly correct format.  Audience may be ill-defined or inconsistent. At least two sifnificant or many minor literacy or numeracy errors and presented in incorrect format for ill-defined or inconsistent audience.  


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Last Updated:4/26/2013 8:55:21 PM