Department of Kinesiology
KIN 440
Measurement, Statistics, and Evaluation of
Human Performance
3 Units
Fall 2015
Meeting days: Online
Instructor: Arnel Aguinaldo, MA, ATC
Final Exam: TBD
Office hours: W 2:00-3:00PM or by appointment
Meeting times: Online
Office location: #12
Phone: (858) 966-5424
E-mail: arnelaguinaldo@pointloma.edu
PLNU Mission
To Teach ~ To Shape ~ To Send
Point Loma Nazarene University exists to provide higher education in a vital Christian community where
minds are engaged and challenged, character is modeled and formed, and service becomes an expression
of faith. Being of Wesleyan heritage, we aspire to be a learning community where grace is foundational,
truth is pursued, and holiness is a way of life.
COURSE DESCRIPTION
Study of measurement techniques and instruments, descriptive and inferential statistics and evaluation
procedures used in human performance. Principles and techniques of construction, organization,
administration, and interpretation involved in human performance research. Includes critical evaluation
of data using basic statistical techniques and an evaluation of research design in human performancerelated studies.
STUDENT LEARNING OUTCOMES
1. Identify the basic concepts of measurement, testing, and evaluation in physical education & exercise
science
2. Apply basic statistical procedures in data analysis, utilize Excel and SPSS for statistical analyses and
be able to accurately interpret the output
3. Define and differentiate the concepts and types of reliability and validity used to evaluate normreferenced and criterion-referenced data
4. Define and interpret the measurement issues associated with epidemiology and clinical settings
5. Describe issues associated with test construction (item analysis), criteria selection, and grading
methods
6. Examine and define the measurement issues within various domains of human performance
REQUIRED TEXTS AND RECOMMENDED RESOURCES

Morrow, J. R., Jackson, A. W., Disch, J. G., & Mood, D. P. (2011). Measurement and Evaluation in Human
Performance (4th Ed.). Champaign, IL: Human Kinetics. ISBN-10: 0736090398, ISBN-13: 9780736090391 (eBook is available at
http://www.HumanKinetics.com/MeasurementAndEvaluationInHumanPerformance)

Handouts will be provided throughout the semester via Eclass.

PASW (SPSS) and Excel software
ATTENDANCE AND PARTICIPATION
Regular and punctual attendance at all classes is considered essential to optimum academic achievement.
If the student is absent from more than 10 percent of class meetings, the faculty member has the option
of filing a written report which may result in de-enrollment. If the absences exceed 20 percent, the
student may be de-enrolled without notice. If the date of de-enrollment is past the last date to withdraw
from a class, the student will be assigned a grade of W or WF consistent with university policy in the
grading section of the catalog. Although attendance will be rarely taken, there is a strong negative
correlation between number of absences and grade percentage in this class.
INCOMPLETES AND LATE ASSIGNMENTS

All assignments are to be submitted/turned in by the beginning of the class session when they are
due—including assignments posted in Eclass.

Late work (turned in any time after the due date and time) may be turned in until the last day of class,
for a maximum of 50% credit (this is a still a failing grade but is better than zero points).

Missed exams may ONLY be made up with a legal, written excuse. A missed exam for an approved
reason MUST be completed prior to returning to the next class meeting.
ACADEMIC DISHONESTY
Students should demonstrate academic honesty by doing original work and by giving appropriate credit
to the ideas of others. As stated in the university catalog, “Academic dishonesty is the act of presenting
information, ideas, and/or concepts as one’s own when in reality they are the results of another person’s
creativity and effort. Such acts include plagiarism, copying of class assignments, and copying or other
fraudulent behavior on examinations. A faculty member who believes a situation involving academic
dishonesty has been detected may assign a failing grade for a) that particular assignment or examination,
and/or b) the course.” See Academic Policies in the undergrad student catalog.
ACADEMIC ACCOMMODATIONS
While all students are expected to meet the minimum academic standards for completion of this course
as established by the instructor, students with disabilities may require academic accommodations. At
Point Loma Nazarene University, students requesting academic accommodations must file
documentation with the Disability Resource Center (DRC), located in the Bond Academic Center. Once the
student files documentation, the Disability Resource Center will contact the student’s instructors and
provide written recommendations for reasonable and appropriate accommodations to meet the
individual needs of the student. See Academic Policies in the undergrad student catalog.
KPE 440
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Spring 2013
FERPA POLICY
In compliance with federal law, neither PLNU student ID nor social security number should be used in
publically posted grades or returned sets of assignments without student written permission. This class
will meet the federal requirements by (each faculty member choose one strategy to use: distributing all
grades and papers individually; requesting and filing written student permission; or assigning each
student a unique class ID number not identifiable on the alphabetic roster.). Also in compliance with
FERPA, you will be the only person given information about your progress in this class unless you have
designated others to receive it in the “Information Release” section of the student portal. See Policy
Statements in the undergrad student catalog.
FINAL EXAMINATION POLICY
Successful completion of this class requires taking the final examination on its scheduled day (May 1,
2013). No requests for early examinations or alternative days will be approved.
USE OF TECHNOLOGY
Point Loma Nazarene University encourages the use of technology for learning, communication, and
collaboration. It is the responsibility of the student to confirm access to the essential applications needed
for the class such as PASW (SPSS) and Excel as well as standard online research tools.
ASSESSMENT AND GRADING

Assignments: Students will complete six assignments, most of which will be completed utilizing Excel
and/or PASW statistical software. Write ups need to be submitted via Eclass before class on the due
date (see course schedule). Each assignment is worth 10 pts (60 pts total).

Exams: The 3 scheduled exams will NOT be cumulative per se. However, students should be aware
that the material in this class builds upon itself, so that exam questions may require knowledge of
earlier material for a complete answer. Exams will be administered online through Eclass. Each exam
is worth 60 pts (180 pts total).

Research Project: Students will complete a statistical analysis project using data they collect as a
group. Students may choose a small group (up to 3 students total), determine a research question
with a simple fitness test component, administer the test, collect and analyze the data, and complete a
scientific write up. Each group will present their project to the class as part of their project grade.
Specific guidelines for the project will be given after Exam 2. The project is worth 60 pts.
KPE 440
ASSESSMENT
POINTS
COURSE OBJECTIVES
Exam #1
Exam #2
Exam #3
Assignments
Group Project
------------------Total
60
60
60
60
60
------300
1,2
3,4
5,6
1-6
1,2,3,6
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Spring 2013
KPE 440
POINTS
GRADE
POINTS
GRADE
278-300
269-277
260-268
251-259
242-250
233-241
A
AB+
B
BC+
224-232
215-223
206-214
197-205
188-196
0-187
C
CD+
D
DF
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Spring 2013
COURSE SCHEDULE AND ASSIGNMENTS
Updated 1/7/2013 (schedule is subject to change depending on students and instructor’s needs)
DATE
1/9
1/16
1/23
1/30
2/6
IN CLASS
Introduction
Nature & purpose of measurement & evaluation
Domains of human performance
Measurement scales
Summation notation
Descriptive statistics
Frequency Distribution (histograms)
Central tendency
Variability
Standard scores
Lab in class (descriptive stats)
Correlation Coefficient
Coefficient of Determination
Prediction
Lab in class (descriptive stats, correlation,
prediction)
Hypothesis testing
Independent & dependent variables
Inferential Statistics (Chi-square, t-tests, ANOVA)
Lab in class (inferential stats)
EXAM 1 (Course Objectives 1,2: Ch. 1-5)
2/13
Norm-referenced measurement
Reliability
2/20
Reliability
Validity
Lab in class
Criterion referenced measurement
Lab in class (Assignment 4 part I)
2/27
3/6
3/13
3/20
3/27
4/3
KPE 440
TEXT / ASSIGNMENT
WORK DUE
pp. 3-15
pp. 37-40
pp. 40-54
pp. 55-65
Assignment 1:
Descriptive stats,
Correlation & Prediction
pp. 69-83
Assignment 2:
Inferential stats
1/30 Assignment 1
(submit to Eclass
before class)
2/6 Assignment 2
(submit to Eclass
before class)
pp. 87-111
Assignment 3:
Reliability and validity
pp. 89-101
pp. 102-111
2/20 Assignment 3
(submit to Eclass
before class)
pp. 113-135
Assignment 4:
Criterion-based
reliability and validity
NO CLASS - SPRING BREAK!
Criterion-referenced standards in epidemiology
Measurement issues in the clinical setting
Diagnostic testing
Review
EXAM 2 (Course Objectives 3,4: Ch. 6-7)
Test construction
Internal consistency (KR20, KR21)
Item analysis (IRT)
Lab in class
Body Composition
Muscular Strength and Endurance
Flexibility
Research design and methods
Group project
pp. 131-132, handouts
Assignment 5:
Epidemiology & clinical
testing
3/13 Assignment 4
(submit to Eclass
before class)
3/20 Assignment 5
(submit to Eclass
before class)
pp. 140-186
Assignment 6: Item
analysis
pp. 201-223; handouts
Page 5
4/3 Assignment 6
(submit to Eclass
before class)
Spring 2013
4/10
4/17
4/24
5/1
KPE 440
Group project data collection
Data collection, analysis
Data analysis, evaluation, discussion of write-up
Writing day
Presentation development
Oral Presentation Day
EXAM 3 (Course Objectives 5,6: Ch. 8-9)
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5/1 Final paper due
Spring 2013