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How to Design and Evaluate Research in Education

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Title: How to Design and Evaluate Research in Education


1
How to Design and Evaluate Research in Education
  • Jack R. Fraenkel and Norman E. Wallen
  • Chapters 2 3 Review

2
The Research Problem
  • The Research Problem
  • Statement of the Problem (identify a problem/area
    of concern to investigate)
  • Must be feasible, clear, significant, ethical
  • Research Questions (serve as focus of
    investigation, see p. 28 list)
  • Some info must be collected that answers them
    (must be researchable)
  • Cannot research should questions
  • See diagram, p. 29

3
The Research ProblemContinued
  • The Research Problem
  • RQ should be feasible (can be investigated with
    available resources)
  • RQ should be clear (specifically define terms
    usedoperational needed, but give both)
  • Constitutive definitions (dictionary meaning)
  • Operational definitions (specific actions/steps
    to measure term IQtime to solve puzzle, where
    lt20 sec. is high 20-40 is med. 40 is low)
  • RQ should be significant (worth investigating
    how does it contribute to field and who can use
    info)
  • RQs often investigate relationships (two
    characteristics/qualities tied together)

4
Variables and Hypotheses
  • Important to study relationships
  • Sometimes just want to describe (use RQ)
  • Usually want to look for patterns/connections
  • Hypothesis predicts the existence of a
    relationship
  • Variables (anything that can vary in measure
    opposite of constant)
  • Variables must be clearly defined
  • Often investigate relationship between variables

5
Variables and Hypotheses
  • Variable Classifications (Fig. 3.4, p. 42)
  • Quantitative (variables measured as a matter of
    degree, using real numbers i.e. age, number
    kids)
  • Categorical (no variationeither in a category or
    not i.e. gender, hair color)
  • Independent the cause (aka the manipulated,
    treatment or experimental variable)
  • Dependent the effect (aka outcome variable)
  • Extraneous uncontrolled IVs (see Fig. 3.2, p.
    46)
  • All extraneous variables must be accounted for in
    an experiment

6
Variables and Hypotheses
  • Hypotheses predictions about possible outcome
    of a study sometimes several hypotheses from one
    RQ (Fig 3.3)
  • RQ Will athletes have a higher GPA that
    nonathletes?
  • H Athletes will have higher GPAs that
    nonathletes
  • Advantages to stating a hypothesis as well as RQ
  • Clarifies/focuses research to make prediction
    based on previous research/theory
  • Multiple supporting tests to confirm hypothesis
    strengthens it
  • Disadvantages
  • Can lead to bias in methods (conscious or un) to
    try to support hypothesis
  • Sometimes miss other important info due to focus
    on hypothesis (peer review/replication is a check
    on this)

7
Variables and Hypotheses
  • Some hypothesis more important than others
  • Directional v. nondirectional
  • Directional says which group will score higher/do
    better
  • Nondirectional just indicates there will be a
    difference, but not who will score higher/do
    better
  • Directional more risky, so be careful/tentative
    in using directional ones

8
  • End of Presentations
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