KIN 610 — Quantitative Analysis of Research in Kinesiology

Department of Kinesiology, Cal State Northridge
Spring 2026 | Tuesday, 7:00–9:40 PM (RE 276)

Instructor Information

Instructor: Ovande Furtado Jr., Ph.D.
Office: RE 289
Phone: 818-677-5968
Email: Use Canvas Inbox for all course communications

Office Hours: - In person: Tuesdays 10:00 AM – 12:00 PM (RE 289) - Online: Wednesdays 10:00 AM – 12:00 PM (via Zoom)

Important: All course communications will be conducted via Canvas. Please use the Canvas Inbox for all email correspondence. Weekly announcements with assignments and activities will be posted on Canvas.

Course Overview

This course focuses on introductory statistical techniques used in social science research. Topics include reliability, validity, measures of central tendency, variability, probability, and statistical techniques including t tests, ANOVA, chi-square, correlation, and regression.

Learning Objectives

Upon completion of this course, you will be able to:

  1. Understand statistical concepts utilized in research within the social sciences
  2. Apply mathematical/statistical techniques for social science research
  3. Analyze and interpret data within the social sciences
  4. Identify appropriate statistical techniques for different research questions

Required Materials

Required eBook

Weir, J. P., & Vincent, W. J. (2021). Statistics in kinesiology (5th ed.). Human Kinetics.

Note

Available at the CSUN Bookstore or directly from Human Kinetics. The eBook version is more affordable and includes features like electronic notes, flashcards, and search functionality.

Companion eBook

Statistics for Movement Science — Free, interactive eBook covering measurement foundations, data management, visualization, descriptive statistics, and statistical inference aligned with course curriculum.

Primary Study Materials

Throughout the semester, blog posts from Random Stats may be designated as the primary source of study for certain topics, with textbook chapters as optional supplementary material.

Course Requirements

Grading Breakdown

Assignment Percentage
Participation & Attendance 5%
Weekly Quizzes 5%
Major Takeaways 5%
Labs 25%
ePortfolio 10%
Exam 1 25%
Exam 2 25%
Tip

The two lowest scores for quizzes, major takeaways, and participation activities will be dropped.

Key Assignments

  • Quizzes — Complete before each class; unlimited attempts within 20-minute time limit
  • Major Takeaways — Submit 10 key points from readings before each class
  • Labs — Hands-on application of statistical procedures using SPSS
  • ePortfolio — Semester-long documentation of your learning
  • Exams — Two exams (midterm and final); notes and textbook allowed

Important Policies

Late Work

Late assignments lose 5% per day, up to 4 days. After 4 days, no credit. Exit tickets cannot be made up.

Academic Integrity

Plagiarism and cheating will result in a failing grade for the course. All work must be your own. Use of AI for quizzes and major takeaways undermines learning and is strongly discouraged.

Accessibility

If you need accommodations, register with DRES (818-677-2684) or NCOD (818-677-2611) and contact the instructor to discuss arrangements.

Additional Resources

  • IT Help Center: (818) 677-1400, helpcenter@csun.edu
  • Learning Resource Center: (818) 677-2033 for tutoring and study support
  • University Counseling Services: (818) 677-2366, Bayramian Hall 520
  • CSUN Food Pantry: Support for food/housing insecurity
  • Full list of student support services

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