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Chapter 1: Introduction to research

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Therefore, children with big feet are great in math? ... The big question, is why was there no difference? Step 4: Analyzing and interpreting results ... – PowerPoint PPT presentation

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Title: Chapter 1: Introduction to research


1
Chapter 1 Introduction to research
  • Introduction to Research in Physical Activity

2
Chapter Outline
  • The nature of research
  • Unscientific versus scientific methods of problem
    solving
  • Alternative models of research
  • Types of research
  • Overview of the research process

3
The nature of research
  • As you will see during the course of the class,
    there are many different types
  • Clinical experiments
  • gt
  • 2. Questionnaires
  • gt
  • 3. Longitudinal studies
  • gt
  • 4. Cross-sectional studies
  • gt
  • Regardless of the type of research, there are
    things in common to them all

4
Five Characteristics of Research
  • Systematic identify variables of interest, then
    design experiments to test the relationships
    between these variables
  • plan, identify, design, collect data, evaluate.
  • ________ procedures are sufficient to allow
    others to evaluate conclusions
  • Empirical collection of data on which to base
    decisions
  • ________ general relationships are established
    from data
  • Replicable experiments are well-documented, and
    can be repeated if necessary

5
The research continuum
  • There are a number of different types of
    experiments, that vary in their _______
    validity"
  • Is the experiment applicable enough to real-life?
  • 1) Putting a dishes of fat, carbohydrate, and
    protein in front of laboratory rats and seeing
    that they eat
  • Vs.
  • 2) Collecting a survey asking what people eat
  • Relative strengths of each is highly debatable!

6
Continuum of Basic to Applied Research
  • Level IBasic research
  • Goal Theory-driven no direct impact on
    practitioners
  • Approach Laboratory, or very carefully
    controlled environment
  • Level II___________ relevance
  • Goal Theory-based, but some relevance to
    practitioners
  • Approach Similar to real-world task or setting
  • Level IIIApplied research
  • Goal Immediate solutions direct impact on
    practitioners
  • Approach Real-world settings, but lacks control
    over the environment

7
The research continuum
Basic research Level I
Applied research Level III
Real-world scenario
Controlled environment
__________ relevance Level II
8
Unscientific Methods of Problem Solving
  • Given the apparent contradictions about doing
    research, why even do it?
  • Because the alternatives generally aren't
    acceptable
  • __________ clinging to beliefs without evidence
    superstition
  • Intuition things people believe to be common
    sense
  • Much "common sense" is derived from research!
  • Authority someone who is an "expert" must be
    correct?

9
Unscientific Methods of Problem Solving
  • The ___________ method deriving knowledge
    through reasoning
  • There is a positive correlation between shoe size
    and mathematics performance
  • Therefore, children with big feet are great in
    math?
  • The empirical method using experience and data
    collection to solve a problem
  • These two components are important in research,
    but there are drawbacks to relying too much on
    either one of them

10
Scientific Method of Problem Solving
  • Development of research involves 4 general steps

11
Scientific Method of Problem Solving
  • Step 1 Developing the problem
  • Develop the specific question(s) you want
    answered
  • ____________ Variable (X) the variable you want
    to manipulate
  • Experimental, or treatment variable
  • _____________ Variable (Y) the variable that
    measures the effect of the independent variable
  • Example Look at the effect of an
    anti-inflammatory drug on return to competition
    from knee surgery
  • Independent Variable is the drug (treatment
    variable probably drug vs. no drug given to
    athletes)
  • Dependent Variable is return to competition,
    probably measured in days

12
Scientific Method of Problem Solving
  • Step 2 Formulating the hypotheses
  • ____________ expected results
  • When you design an experiment, you should have a
    good idea of what you are going to find
  • Essential that your hypothesis is ___________
  • Can be based on reading other research, etc.
  • Example providing anti-inflammatory drug XY will
    reduce the time to competition when compared to
    providing no drug (control, or a placebo pill)

13
Scientific Method of Problem Solving
  • Step 3 Gathering the data
  • Conducting your experiment
  • Before you begin this process, you want to be
    certain of certain things
  • Are you methods reliable (repeatable)?
  • Valid? (do they measure what you want to do?)
  • ___________ validity degree to which the results
    observed are attributable to the treatment
  • ___________ validity are the results
    generalizable (apply to real-world)?
  • objective? (can the test be accurately scored)
  • Example how to do accurately assess "time to
    competition"?

14
Scientific Method of Problem Solving
  • Step 4 Analyzing and interpreting results
  • Gather all your results and compare your findings
    statistically
  • Based on your statistical finds, develop an
    explanation for your findings

Pool of athletes that had knee surgery
Drug XY
Placebo Pill
40 days
50 days
You perform a t-test to determine if XY was
really "different" or "better"
15
Example (Paul D 2003)
  • "No effect of preexercise meal on substrate
    metabolism and time trial performance during
    intense endurance exercise."
  • Step 1 Developing the problem
  • Previous research indicated that exercise
    performance is related to the amount of
    carbohydrate you have in your body
  • Increasing the amount of fat (in the form of
    fatty acids) in the body reduces carbohydrate use
    by the body
  • Therefore, increasing the amount of fat in the
    diet will increase exercise performance?
    (rationalistic method)
  • Further problem is that the methods employed to
    increase fat in the body were not practical for
    athletes (and illegal)
  • Injected people with fat and heparin (blood
    anti-coagulant)

16
Step 1 Developing the problem
  • _______________ variable (X)
  • pre-exercise diet (fat, carbohydrate, placebo)
  • ______________ variable(s)(Y)
  • Fat and carbohydrate oxidation (use)
  • Breath
  • Blood
  • Muscle
  • Athletic performance (time trial, shortest time
    to complete a set cycling distance)

17
Step 2 Formulating the hypotheses
  • Providing a large of fat (about 8-900 calories!)
    in a pre-exercise meal would
  • Reduce of carbohydrate use in muscle, but not
    liver
  • Not improve athletic performance
  • If there is a reduction in whole-body
    carbohydrate use, where is it? Blood glucose, or
    muscle glycogen?


Blood Stream
18
Step 3 Gathering the data
  • 8 competitive male cyclists
  • Fed them a high carbohydrate meal the night
    before and breakfast (9 hrs before exercise)
  • Gave them fat, carbohydrate, placebo (no
    calories) drinks 3 hrs before exercise
  • Then cycled very hard for about an hour (30 min
    fixed, last part as fast as possible)
  • Collected breath, blood, and muscle samples

19
Step 4 Analyzing and interpreting results
  • Hypothesis1 Reduce of carbohydrate use in
    muscle, but not liver?
  • Nope, made no difference during exercise!

20
Step 4 Analyzing and interpreting results
  • Hypothesis 2 Giving a fat meal would not
    improve athletic performance
  • Actually figured exercise performance would be
    high after carbohydrate, nothing special with
    fat, but would crash-and-burn with placebo (no
    calories)
  • In actuality, meals made absolutely no
    difference!
  • The big question, is why was there no difference?

21
Step 4 Analyzing and interpreting results
  • The fat provided in the meals couldn't be used as
    a source of energy! It was "tied" up!
  • Not much of a difference in exercise performance
    because they had lots of carbohydrate in storage
  • A triglyceride is a molecule with 3 free fatty
    acids (the source of energy for muscle) and a
    glycerol

22
Alternative Models of Research
  • The project just described can be characterized
    as
  • ___________ science (quantitative research)"
  • Objective manner of study that is grounded in the
    natural sciences
  • Systematic, logical, empirical, reductive,
    replicable
  • Adheres to the scientific method
  • However, there are challenges to normal science
  • Inconsistent findings cannot trust the results
    of one study
  • Some variables (human behavior in particular)
    cannot be easily measured and quantified!
  • How do you measure "motivation"? "hunger"?
    "happiness"?
  • Falls under the category of "Qualitative research"

23
Types of Research
  • Obviously, there are a number of different types
    of research
  • __________ analysis of information already
    available to explain complex phenomena
  • Historical research based on events all ready
    occurred
  • Philosophic develop theoretical models
  • Reviews review of existing research
  • Research synthesis (meta-analysis) review of
    studies, generally with some sort of statistical
    analysis

24
Types of Research
  • ____________ research describes the status and
    characteristics of a population
  • Can't determine cause-and-effect relationships
  • Questionnaires, interviews, surveys, etc.
  • Experimental research manipulation of variables
    to establish cause-and-effect relationships
  • Qualitative research research based on
    first-hand observations
  • Direct observation, interviews, etc.

25
Overall research process
  • Although there are a wide array of research
    types, there is a relatively common approach
  • Introduction
  • Identify the problem you want answered
  • Generally based on a review of the literature
  • Methods
  • Describe how the data were collected
  • Should be sufficient that the experiment can be
    replicated
  • Results
  • List what you found with no interpretation
  • Discussions and conclusions
  • Narrative of what you found based on results
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