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SO 307 Statistics for Social Sci.
Blaydes, Kathy J.


Mission Statement: The mission of Park University, an entrepreneurial institution of learning, is to provide access to academic excellence, which will prepare learners to think critically, communicate effectively and engage in lifelong learning while serving a global community.

Vision Statement: Park University will be a renowned international leader in providing innovative educational opportunities for learners within the global society.

Course

SO 307 Statistics for Social Sciences.

Semester

F2H 2009 BU

Faculty

Blaydes, Kathy J.

Title

Adjunct Professor of Social Psychology

Degrees/Certificates

Ed. D. in Counseling Psychology w/research concentration
LPC; NCC; CCMHC

Office Location

80 Lady's Island Drive, Beaufort, SC 29909

Office Hours

Before and after class and by appointment

Daytime Phone

843-812-7227

E-Mail

kathy.blaydes@park.edu

kjblpc@aol.com

Semester Dates

19 October, 2009 through 12 December 2009

Class Days

-M-W---

Class Time

7:35 - 10:05 PM

Credit Hours

3


Textbook:

Huff, D. (1993). How to lie with statistics. W. W. Norton & Company. ISBN#0-393-31072-8
 
Kirkpatrick, L. & Feeney, B. (2009) A simple guide to SPSS for version 16.0. Wadsworth. ISBN#0-495-59766-X
 
Healey, J. (2009). Statistics: A tool for social research, 8th edition. Wadsworth. ISBN#0-495-09655-5
 
 

Textbooks can be purchased through the MBS bookstore

Textbooks can be purchased through the Parkville Bookstore

Additional Resources:
Provided by the instructor.

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 helpdesk@park.edu or call 800-927-3024
Resources for Current Students - A great place to look for all kinds of information http://www.park.edu/Current/.


Course Description:
SO 307 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:
This facilitator's educational philosophy is one of interactiveness based on lectures, readings, quizzes, dialogues, small group projects, examinations, internet, videos, web sites, and writings. The facilitator will engage each learner in what is referred to as disputatious learning to encourage the lively exploration of ideas, issues, and concepts. This will be an interactive process where we will "learn by doing". I want everyone to feel free to ask questions, share ideas, and explore concepts.

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:

Quizzes, research article reviews, exams, a final exam, core assessment project, and class attendance and participation will comprise the grade for the course. There is a total of 880 points. Grading is based on a percentage of points accumulated.
                             

Grading:

Quizzes                                             5 at 20 points each                  100
Research article review                    2 at 50 points each                  100
Exams                                                3 at 100 points each                300
Final exam                                         1 at 150 points                        150
Core assessment project                    1 at 150 points                        150
Class attendance & participation       16 at 5 points each                    80
 
total 880 points:  Grading is based on a percentage of points accumulated.
                             90-100   A
                             80-89     B
                             70-79     C
                             60-69     D
                               0-59     F

Late Submission of Course Materials:
Late submission of assignments will be accepted. However, the grade will be reduced by 5 points per day that the assignment is not received. If you are aware of an unavoidable absence during this class, please make arrangements to turn in your material prior to the absence. If you have an unavoidable absence on an emergency basis, please call me and leave a message on my phone or send me an email.

Classroom Rules of Conduct:

I look forward to having a lively and interactive classroom experience. Please make sure that you arrive on time having read and completed all assignments. Make sure that your phone and pagers are on mute or vibrate so that they do not disturb the classroom atmosphere. Make sure that you treat each classmate with respect. In the classroom setting we will have differing views, beliefs, and feelings. Please make sure that you listen respectfully and share your own viewpoints in an appropriate manner. Please do not use slang, profanity, or jargon in your presentations and classroom discussions.

Course Topic/Dates/Assignments:

Class one            Part one--Descriptive statistics                               Healey Chapter 1-2
Class two            Descriptive statistics (cont.); book                         Healey Chapter 3-4; SPSS
Class three          Descriptive statistics (cont.)                                   Healey Chapter 5; Huff, D. How to lie with statistics.
Class four            Exam one (chapters 1-5)         
Class five            Part two--Inferential statistics (SPSS)                    Healey Chapter 6-7                                                   
Class six              Inferential statistics (cont.)                                     Healey Chapters 8-9
Class seven          Inferential statistics (cont.)                                     Healey Chapters 10-11
Class eight           Exam two (chapters 6-11)                        
Class nine            Bivariate measures of association (SPSS)               Healey Chapter 12
Class ten              Bivariate measures of association (cont.)                Healey Chapter 13-14
Class eleven        Bivariate measures of association (cont)                  Healey Chapter 15
Class twelve        Exam three (chapters 12-15)
Class thirteen       Multivariate techniques (SPSS)                                Healey Chapter 16
Class fourteen      Multivariate techniques (cont.)                                 Healey Chapter 17
Class fifteen         Multivariate techniques (cont.)                                 Review                          
Class sixteen        Final exam (cumulative)

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 2008-2009 Undergraduate Catalog Page 87

Plagiarism:
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. Park University 2009-2010 Undergraduate Catalog Page 92
Please make sure that all the work that you submit is your own. If you have any questions about proper format, citations, paraphrasing, or references please let your instructor know.

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 2009-2010 Undergraduate Catalog Page 95

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: http://www.park.edu/disability .



Rubric

CompetencyExceeds Expectation (3)Meets Expectation (2)Does Not Meet Expectation (1)No Evidence (0)
Analysis & Evaluation                                                                                                                                                                                                                                      
Outcomes
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  
Application                                                                                                                                                                                                                                                
Outcomes
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                                                                                                                                                                                                                                             
Outcomes
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:9/20/2009 10:48:56 PM