KIN610 Quantitative Analysis of Research

Department of Kinesiology                                                                        CSU, NORTHRIDGE

 

Fall 2011

KIN 610-15925

T  19:00-21:50

Location: KN276

 

Instructor: Konstantinos “Dino” Vrongistinos, Ph.D.

e-mail: kv61497@csun.edu

Office: KN281                                                

Phone: (818)-677-7567

Office Hours: T, Th 10:00-11:30, T 17:00-18:00,  & by appointment

http://www.csun.edu/~kv61497

 

  Required Text:              Vincent, W. J. Statistics In Kinesiology, 3rd or 4th ed, Human Kinetics Pub., Champaign, IL.

 

Course Prerequisites:           Math140 and a Computer Class or equivalent 

(Introductory Statistics and be familiar with computers)

 

Course Description :            A study of advanced statistical methods for quantitative analysis of research data in Kinesiology by personal computer.

 

Course Objectives:               This course is designed to give the student the essential principles of statistics in Kinesiology so that they can work independently on their thesis projects.

Experiences are provided to help the student understand basic concepts relating to classification of data, samples and populations, hypothesis testing, and probability statements. The student will be introduced to various concepts in order to be able to compute from raw data, and interpret the following statistical concepts:

Sampling Theorem & frequency distributions               Measures of central tendency (Mode, Median, Mean)                                Measures of variability (Range, IQR, Std. Dev.)           Standard Scores (z, %, T, Stanines)                                

Correlation coefficients                                                      Regression

Dependent and Independent t tests                                 Simple ANOVA and post-hoc tests                                                  Repeated Measures ANOVA                                               Factorial ANOVA                                                               

Introduction  to Non-parametric tests                             Introduction to ANCOVA and MANOVA                                      Introduction to Discriminant & Factor Analysis   Introduction to Spreadsheets & SPSS

 

Every student at the end of the semester is expected to write a final project in the format a of a peer review journal  of their choice and presented in the class. The data maybe real, fictitious, or borrowed.

 

Evaluation:      Course grades will be based on the following point distribution.

KIN610 (3 units)

 

 

Project

An independent hands-on project

200 pts   (20%)

Midterm

Combined Test   

200 pts   (20%)

Portfolio, Homework & Quizzes

 

Portfolios Due Day 15th Week

200 pts   (20%)

 

 

 

Power Point Presentation

Related with Project

100 pts   (10%)

Final Exam

Combined Test

300 pts   (30%)

Course Total

 

1000pts (100%)

A three percent will be subtracted from the final grade for each unexcused absence beyond one absence.

Combined tests include (but not limited) to, multiple-choice questions, essay questions, and calculations by hand and by computer. Different portions of the test will be home-tests and some will be classroom-tests. Portions of classroom tests will be open-book tests and some portions will be closed-book tests.

Assignment of grades will be based on the following ranges:

A = 900-1000 pts;

B = 800-899 pts; 

C = 700-799 pts; 

D = 600-699 pts;

F = less than 600 pts.

Assignment of plus/minus grade adjustments to the above scale will be determined by the final class point distribution.

A minimum of 83% is required for B.

Examination Policies & Miscellaneous Information

1.  Students will not be allowed to leave the room during exams. Please attend to any personal needs before the exam.

2.  Make-up exams will be considered only under exceptional circumstances.

(Note: "I overslept", "I'm tired", "I'm not prepared", etc. are not exceptional circumstances!)

Any student who fails to contact the instructor prior to any missed exam may not be allowed to makeup the exam.

3.  Absence for medical reasons requires written verification by a physician.

4.  Exams will not be rescheduled based on a student's personal work/school schedule. Please plan ahead.

5.  Questions/concerns regarding grading for any exam must be resolved with the instructor within one week of the date graded-exams are returned to the student.

6.  All exams are non-circulating.

A.            Time Elements     Class begins promptly on the scheduled hour

B.            Behavior              Treat other students and the instructor with respect and civility. Free discussion, inquiry, and expression is encouraged in this class. Classroom behavior that interferes with either (a) the instructor’s ability to conduct the class or (b) the ability of students to benefit from the instruction is not acceptable. Examples may include routinely entering class late or departing early; use of beepers, cellular phones, or other electronic devices; repeatedly talking in class without being recognized; talking while others are speaking; or arguing in a way that is perceived as “crossing the civility line.”  Eating food or chewing ice during lecture or discussion time is unacceptable. Turn-off cellular phones and other communications electronics

C.            Cheating & Plagiarism will not be tolerated. Severe penalties will be imposed including an F on the exam, and potentially and F in the course, and may also be subject to more severe discipline by the University. Please review the Student Conduct on Academic Dishonesty in the current Schedule of Classes and in the University Catalog.

Each student is expected to be familiar with, and abide by, the conditions of student conduct, as presented in the CSUN Catalog (Appendix C), with emphasis on sections: Student Conduct Code, Academic Dishonesty, Faculty Policy on Academic Dishonesty, and Penalties.  Any student engaging in academic dishonesty (e.g., cheating, fabrication, facilitating academic dishonesty, plagiarism) is subject to discipline, which may include a failing grade in the course, and may also be subject to more severe discipline by the University.

D.            Assignments          turned in one day late will receive 50% credit. After one day, no credit will be given.

E.            Requests for an Incomplete (I) must confirm to university policies.  Among other requirements, “I” is possible only for instances in which a student is demonstrating passing work in the class.

F.             Attendance Policy: Attendance is expected for this class, and each student is responsible for all material covered along with any changes to the syllabus that are discussed in class.  Any foreseeable absences should be discussed with the professor beforehand.  If an emergency arises, telephone or email before class so that there is a record.  If I do not receive any prior notification, I will not allow make-ups for any material missed (i.e., exams, homework).  Attendance is checked randomly and during tests and assignments due days.

A three percent will be subtracted from the final grade for each unexcused absence beyond one absence.

 

Note:      Students with exceptional needs: This instructor, in conjunction with California State University Northridge, is committed to upholding and maintaining all aspects of the federal Americans with Disabilities Act (ADA) of 1990 and Section 504 of the Rehabilitation Act of 1973. If you are a student with a disability and wish to request accommodations, please contact the Center on Disabilities located in Student Services Building BH 110, or call (818) 677-2684 for an appointment. http://www.csun.edu/cod/ , codss@csun.edu, Phone: (818) 677-2684, Fax: (818) 677-4929, Office Hours: M - F 8:00-16:45

                Any information regarding your disability will remain confidential. Because many accommodations require early planning, requests for accommodation should be made as early as possible. Any requests for accommodations will be reviewed in a timely manner to determine their appropriateness for this class.

Attention:             Last day to drop is Friday of the 3rd  week of classes

 

IMPORTANT

KINESIOLOGY GRADUATE STUDENTS MUST EARN A GRADE of B OR ABOVE,
TO SATISFY THE DEPARTMENT OF KINESIOLOGY POLICY REQUIREMENTS

 

 

Reading Assignments

Please Note:

The reading assignments listed below are intended to supplement the lecture materials. Some of the material in the text will not be covered in lecture but may be included on the exams. By the same token, all of the information given in lecture will not be found in the text, but may also be included on the exams. Students are expected to have read the assigned sections in the text before the scheduled lectures to which they apply.  The reading assignment schedule is subject to change with appropriate notice.

 

 

T

 

 

 

Reading Materials

Aug

Week 1

30

Sampling Theorem, Data Reduction, Percentiles

 

Ch. 1,2,3,

Sept

Week 2

6

Measures of Central Tendency and of Variability

 

Ch. 4,5,6

 

Week 3

13

The Normal Curve

 

Ch. 6,7

 

Week 4

20

Hypothesis Testing for correlation and regression – Relating two or more variables of one group

Hw1

Ch. 7

 

Week 5

27

Hypothesis Testing for t-tests, comparing one variable between two groups

 

Ch. 8

 

Week 6

4

More on t-tests. Power & Sample size.

  Project Draft Due (Introduction and Methods)

Hw2-Qz

Ch. 8, 9

 

Week 7

11

Midterm  and  Web assignment Home-Test

Midterm

Midterm

 

Week

18

Simple ANOVA & Post-hoc tests

 

Ch. 9

 

Week

25

Repeated measures ANOVA

 

Ch. 10

 

Week

1

Factorial ANOVA between-between

 

Ch. 10, 11

 

Week

8

Factorial ANOVA within-within

Hw3-Qz

Ch. 11

 

Week

15

Factorial ANOVA Mixed design

 

 

 

Week

22

Non-parametric techniques

Project Draft Due (Results)

 

Ch. 11

 

Week

29

Review  Advanced Techniques

Hw4

Ch. 13, 12

 

Week

6

Review

Power Point Presentations

Project Final Manuscript Due,   

Term

Paper due

Readings

 

 

 

Midterm  and  Web assignment Home-Test

 

 

Dec

13

Final

DEC 13, 2011   08:00 PM - 10:00 PM 
*Exam may start at 7:00 pm -- if it does not conflict with other class

Final

Tuesday

Dec 13

19:00-21:00*

 

Schedule is tentative and subject to changes

 

Attention:       Last day to drop is Friday of the 3rd  week of classes

 

 


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Research Project

 

Each student has to complete an individual project. Students need to collect quantitative data based on a research hypothesis.

Statistical analysis should based either on a t-test or an ANOVA (or equivalent non-parametric technique). Students can use a more advanced techniques but it is not recommended to avoid projects difficult to execute. 

 

Rubric for grading -- Total Points 200

12/12 Approximate 12 pages with 12 references from refereed journals

1

weak

2

adequate

3

exceeds basic

4

comprehensive

Presentation of Report (Times New Roman size 12, one inch margin, double spaced) (x2)

 

 

 

 

Clarity in writing (x4)

 

 

 

 

APA style (x3)

 

 

 

 

Title (Concise descriptive but not conclusive)  (x2)

 

 

 

 

Abstract (Concise, self-standing, comprehensible) (x4)

 

 

 

 

Significance, Purpose, Hypothesis  (SPH) (x3)

 

 

 

 

Review of Literature: Overall

 

 

 

 

  Describe Paradigm

 

 

 

 

  Converge and justify SPH

 

 

 

 

Common themes

 

 

 

 

Controversies

 

 

 

 

Results across different populations

 

 

 

 

Prior methods

 

 

 

 

Reliability validity of instrumentation

 

 

 

 

How findings may affect theory

 

 

 

 

Participants

 

 

 

 

Variables

 

 

 

 

Protocol

 

 

 

 

Instrumentation

 

 

 

 

Data Reduction

 

 

 

 

Statistical Procedures (x4)

 

 

 

 

Table

 

 

 

 

Graph

 

 

 

 

Statistical Significance explained (x4)

 

 

 

 

How statistics support hypothesis (x3)

 

 

 

 

Connect Results with Literature (x2)

 

 

 

 

How could be improved

 

 

 

 

What worked well

 

 

 

 

Theoretical ramifications

 

 

 

 

Practical applications

 

 

 

 

Use of more than one non-referred reference will result in 10% reduction from your total project grade

 

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Portfolio, Homework & Quizzes

 

Assigned homework must be completed on time 5%

Quizzes will be administered with one-week notice 5%

All assignments and quizzes should be presented at the end in a form of a portfolio 5%

Individualized notes relevant with the subject matter included in the portfolio (e.g. Chapters, Assignments) 5%

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