Title: Measurement and Design in Kinesiology
1Measurement and Design in Kinesiology
2Scientific Method
- The scientific method provides a cogent means of
obtaining information that can be used as a solid
foundation for supporting instructional decisions
(Magill, 1983)
3Bottom-Up Research Induction
Theory
Law
Hypotheses
observations
4Top-down research Deduction
5Scientific Method
- Experimental Approach
- allows one to test a hypothesis in order to make
causal statement about the relationships between
variables. This usually involves an experiment
which includes the manipulation of an independent
variable and examination of its effect on a
dependent variable. - Hypothesis
- a proposal to explain certain facts (Shumway-Cook
Woolacott, 1995)
6The Experiment
- A hypothesis is a tentative prediction of
behavior under a set of conditions - An experiment is an investigation in which a
researcher manipulates one variable while
measuring its effect on some other variable.
Experiments are the most common way to test
hypotheses. - The measured variable is called the Dependent
Variable. - The manipulated variable is called the
Independent Variable.
7The Experiment
- Independent Variable
- is the variable manipulated by the researcher
- Dependent Variable
- is the variable that is measured to reflect
performance or behavior
8Dependent Variables
- Anatomy
- Exercise Physiology
- Health Fitness
- Biomechanics
- Motor Learning and Control
- Motor Development
- Sport Psychology
- Sport Pedagogy
9DV Anatomy
10Performance Measures Neural Signals
- Positron Emission Tomography (A scanner detects
radioactive material that was injected or inhaled
to produce an image of the brain)
chemical uptake in the brain of a monkey to test
the effectiveness of a treatment for Parkinson's
disease
11Functional Magnetic Resonance Imaging (fMRI)
- MRI uses the detection of radiofrequency signals
produced by displaced radio waves in a magnetic
field. Functional MRI (fMRI) is able to
distinguish those parts of the brain which are
actively thinking (or moving) from those which
are not (e.g., finger tapping).
12DV Exercise Physiology
- Heart Rate
- VO2
- Blood Pressure
- Ventilation Rate
- Perceived Exertion
13Biomechanics Kinematics
- Displacement
- Velocity
- Acceleration
- Jerk
14Biomechanics RMSE
-5
5
0
15Biomechanics Kinetics
16DV Sport Psychology
17DV Sport Pedagogy
- Academic Learning Time (ALT-PE)
- of Episodes
- duration of episodes
18The Experimental Plan
- Sampling
- Paradigms
- The Experiment
19Sampling of the Population
- A subject population is comprised of all persons
(in the world) who meet a certain set of
conditions. - A sample is a subset of the entire population.
The experimenter attempts to use a sample that is
representative of the entire population since
normally an entire population can not be tested. - Randomization is used to increase the probability
of the sample being truly representative of the
population.
20Paradigms
- Paradigms are experimental plans or protocols
- Experimental vs. Control Groups
- Pre-Post Test
- Transfer Paradigm
- Longitudinal and cross-sectional
21Wheres the control?
22Pre-post tests
23Transfer Paradigm
- important for assessing relative permanence of
information or what we might commonly refer to as
learning - adequate retention interval
- test on common level of the independent variable
24Transfer Paradigm
25Descriptive Data
- Organizing Data
- Categorizing, ranking, etc
- Central Tendency
- Mean, median, mode
- Variability
- Range, standard deviation, variance
26Normal Distribution
27Normal Distribution
28Normal Distribution Exceptions
29Inferential Statistics
- Correlation
- Quantifying the extent to which two variables are
inter-related - Regression
- From the correlation between two variables one
can derive an equation to describe the
aforementioned relationship and thus make
predictions
30Correlations
31Correlations
32Regressions Predicting RT
Y 200 150 (X)
RT (msec)
Bits
33Identifying Differences
- t-test
- is used to determine if two means are different
from one another - Analysis of Variance (ANOVA)
- is used to determine if more than two means
differ from each other
34T-test vs. ANOVA
35Validity
- Internal Validity
- External Validity
- Ecological Validity
36Internal Validity
- Refers to the degree to which the manipulation of
the independent variable in an experiment truly
accounts for all of the changes observed by the
experimenter.
37External Validity
- Refers to the extent to which the results of the
experiment are generalizable. This is important,
since a goal of research is to be able to make
statements that extend beyond the specific
experiment and can be applied to a range of
situations involving similar variables.
38Ecological Validity
- Refers to the degree to which the conditions of
the experiment are representative of conditions
encountered in the real world.
39Reliability
- Refers to the notion that the given the same
experimental setting and procedures the results
are repeatable
40Exam 1 Example 1
41Exam 1 Example 1
What is the dependent variable? What is the
independent variable?
42Kinematic Analysis of Movement
- Displacement
- Velocity
- Acceleration