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SO 307 Statistics for Social Sci.
Farmer, Mary Sue


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.

Course

SO 307 Statistics for Social Sci.

Semester

S1LL 2013 LR

Faculty

Farmer, Mary Sue

Title

Adjunct Faculty

Degrees/Certificates

PhD Health Policy University of Arkansas
MSE Psychology Boston University
BSE Education University of Arkansas

Office Location

Little Rock AFB Education Center

Office Hours

Contact me by email or phone if you have additional concerns/ questions outside the classroom or we may discuss before or after class

Daytime Phone

501-259-1323

E-Mail

mary.farmer@park.edu

Semester Dates

Spring 2013

Class Days

-M-W---

Class Time

6:00 - 9:00 PM

Prerequisites

MA 131 and an introductory social science class (i.e., SO141, PS101, CJ100 or SW 205)

Credit Hours

3


Textbook:

Gravetter, F. & Wallnau, L. (2009).  Essentials of Statistics for the Behavioral Sciences (7th ed).  Cengage learning-Wadsworth. ISBN: 978-0-495-81220-3
 
Huff, D. (1993). How to Lie with Statistics (1993 revised ed.). New York: W.W. Norton & Co.  ISBN: 0-393-31072-8.

Textbooks can be purchased through the MBS bookstore

Additional Resources:
Scientific calculator and Excel

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:

My educational philosophy is that students are the pivotal part of the learning process between student, teacher, and the curriculum to be mastered.  Active learning in the classroom and independent study outside of the classroom will facilitate student growth in understanding research and statistics in the social sciences. Classroom discussions, lectures, readings, assignments, group work, and hands-on practice of statistical techniques will be used as methods to assist in learning. Each student will be required to analyze, criticize and synthesize presented information. Additionally, students will be required to demonstrate these skills through written assignments.  I will be actively engaged in the process and welcome your questions and feedback.
 

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.


  Instructor Learning Outcomes
  1. Discriminate between supportable versus non-supportable statistical research findings
  2. Operationalize a theoretical question or practical concern as a testable hypothesis
  3. Identify and differentiate basic research designs and determine which is appropriate for a given research problem
  4. Analyze and present computer generated statistical 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:

Your grade will be based on:
 
15 points = 5 weekly quizzes at 3 points each
15 points = 5 homework assignments at 3 points each
10 points = Participation for 8 weeks (1.25 points per week)
20 points = Midterm exam
20 points = Final Exam
20 points = Core assessment

Grading:

Total possible points = 100
 
A = 90 - 100
B = 80 - 89
C = 70 - 79
D = 60 - 69
F = 59 and <
 

Late Submission of Course Materials:
All assignments are due at the BEGINNING of class.  Assignments will not be accepted after 24 hours from the due date.  A 50% penalty will apply for papers that are submitted within the 24 hour late period. If you have a valid emergency, please call me and we will discuss any issues with submission of assignments.  These exceptions for emergencies are at the discretion of the instructor.

Classroom Rules of Conduct:
Cell phones must be silenced to avoid disruption of class. 

Course Topic/Dates/Assignments:

Week 1 Monday: Intro to Statistics
Chapter 1 Essentials of Statistics for the Behavioral Sciences
Chapter 6: Sampling-Huff How to Lie with Statistics
Week 1 Wednesday: Frequency Distributions
Chapter 2 Essentials of Statistics for the Behavioral Sciences
Week 2 Monday: Central Tendency
Chapter 3 Essentials of Statistics for the Behavioral Sciences
Week 2 Wednesday: Variability
Chapter 4 Essentials of Statistics for the Behavioral Sciences
Week 3 Monday: Z scores
Chapter 5 Essentials of Statistics for the Behavioral Sciences
Week 3 Wednesday: Probability
Chapter 6 and 7 Essentials of Statistics for the Behavioral Sciences
Week 4 Monday: Hypothesis Testing
Chapter 8 Essentials of Statistics for the Behavioral Sciences
Week 4 Wednesday: Review and midterm
Week 5 Monday: t statistic: t test independent sample
Chapter 9 and 10 Essentials of Statistics for the Behavioral Sciences
Week 5 Wednesday: t test related sample
Chapter 11 Essentials of Statistics for the Behavioral Sciences
Week 6 Monday: Estimation
Chapter 12 Essentials of Statistics for the Behavioral Sciences
Week 6 Wednesday: ANOVA
Chapter 13 Essentials of Statistics for the Behavioral Sciences
Week 7 Monday: Repeated measure & 2 factor ANOVA
Chapter 14 Essentials of Statistics for the Behavioral Sciences
Week 7 Wednesday: Correlation and regression
Chapter 15 Essentials of Statistics for the Behavioral Sciences
Week 8 Monday: Chi-square
Chapter 16 Essentials of Statistics for the Behavioral Sciences
Week 8 Wednesday: Review and Final

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 (www.park.edu/current or http://www.park.edu/faculty/).from Park University 2011-2012 Undergraduate Catalog Page 95-96

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. from Park University 2011-2012 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 2011-2012 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: 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.  

Copyright:

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Last Updated:12/18/2012 9:40:30 PM