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Some experimental methods in Educational Research Questions Design Analysis Adam Dubrowski, HSC Learning Institute
Not enough?
You need to perform a systematic review of literature
You need to  generate an answerable question
You need to generate a
You need to design of a “clean” experiment
You need to be able to us e  the stats
You need to  generate an answerable question
Types of Questions ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Types of Questions ,[object Object]
Matching Question to Study Design ,[object Object],[object Object]
Matching Question to Study Design ,[object Object],[object Object]
Asking Structured Questions (WHY?)
Asking Structured Questions (WHY?)
Asking Structured Questions (WHY?)
Asking Structured Questions (WHY?)
Asking Structured Questions (WHY?)
Quantitative Questions (PICO) ,[object Object],[object Object],[object Object],[object Object]
Quantitative Questions ( P ICO) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Quantitative Questions (P I CO) ,[object Object],[object Object],[object Object]
Quantitative Questions (PI C O) ,[object Object],[object Object]
Quantitative Questions (PIC O ) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Quantitative Questions (PIC O ) ,[object Object]
Hypothesis
Hypothesis A hypothesis  [from Greek] consists either of a suggested explanation of a phenomenon or of a reasoned proposal suggesting a possible relationship between multiple phenomena.  In science:  The Scientific Method requires that one can  test  a scientific hypothesis.  Generally base such hypotheses on previous observations or on extensions of scientific theories.
Hypothesis ,[object Object],[object Object],[object Object],[object Object]
Hypothesis ,[object Object],[object Object],[object Object],[object Object]
Hypothesis: Variables An  independent variable  is the variable whose value one actively controls and can change.  A  dependent variable  is the thing whose value then changes as a result. Example: In a study of how introduction of eLearning modules affect the adherence to a program, a researcher could compare the course drop out rate (the ? variables) with the presence of eLearning module (the ? Variable), and attempt to draw a conclusion.
Hypothesis: Variables An  independent variable  is the variable whose value one actively controls and can change.  A  dependent variable  is the thing whose value then changes as a result.
Hypothesis testing In statistics, there are only two kinds of hypothesis that are being tested:  The null hypothesis or H 0 .  The alternative hypothesis or H 1 .
Hypothesis testing In education research, the null hypothesis may be used to test differences in intervention and control groups at the end of a program, and the  assumption is that no difference exists between the two groups for the outcome variable being compared.
Not guilty unless proven otherwise
Hypothesis testing: Statistical significance The “p” value or alpha is the chance you are willing to take to  reject  the Ho [not guilty], while you actually should have  retained  it. The choice of the level is up to the experimenter and may be determined as a function of the phenomenon being studied.
Pause
Experimental design
You have performed a systematic review of literature
You have generated an answerable question
You have generated a
What is the next step?
You need to design of a “clean” experiment
Example You may wish to examine if a new hands on simulation based educational program leads to adherence to hand washing protocols [by nurses ….newly hired nurses …etc]. Is this a good research question? Does it have all the parts? What are the hypotheses? Ho H1 Experimental design
Example You may wish to examine if a new hands on simulation based educational program leads to adherence to hand washing protocols. Is this a good research question?  OK, but not great Does it have all the parts?  No control, participants, outcomes. What are the hypotheses? Ho:  Old and new programs are the same H1:  Old and new are different (note no directionality) Experimental design
To test this hypothesis requires 2 conditions to be met  (Cook and Campbell; 1979) .  1. Changes in the outcome occur  after , rather than  before  the institution of the program/intervention.  2. The program/intervention are the  only  reasonable explanation for the changes in the outcome.  If there are any other explanations for the observed changes in outcomes the researcher cannot be confident that the presumed  cause effect  relationship is correct. How do you know if there are other explanations? Experimental design
Eliminating these alternative explanations is the purpose of a proper experimental design. These are also known as  threats to internal validity  (Cook and Campbell 1979).  Experimental design
Minimizing  Threats to Internal Validity:  Argument .  This is the least effective ways to argue threats to internal validity.  -  In a paper it is in the intro Design .  This is by far the most powerful method to rule out alternative explanations.  -  In a paper it is in the methods Analysis .  The researcher can use various statistical analysis performed on the collected data.  -  In a paper it is in the methods and results Experimental design
[object Object],Experimental design
[object Object],[object Object],[object Object],[object Object],Experimental design
[object Object],[object Object],[object Object],[object Object],[object Object],Experimental design
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Experimental design
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Experimental design
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Experimental design
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Experimental design
[object Object],[object Object],[object Object],[object Object],Experimental design
[object Object],[object Object],[object Object],[object Object],Experimental design
[object Object],[object Object],[object Object],[object Object],[object Object],Experimental design
[object Object],[object Object],[object Object],[object Object],[object Object],Experimental design
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Experimental design
Pause
You have performed a systematic review of literature
You have generated an answerable question
You have generated a
You have designed a “clean” experiment
What is the next step?
You need to be able to us e  the stats
[object Object],[object Object],[object Object],Basic stats - variability
[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],T-test
Standard New Skill T-test
Standard New Skill T-test
Standard New Skill T-test
[object Object],[object Object],[object Object],[object Object],T-test
Post Pre Skill O  X  O  T-test
[object Object],[object Object],[object Object],T-test
[object Object],[object Object],[object Object],T-test
[object Object],[object Object],[object Object],ANOVA
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],ANOVA
Standard Skill New A New B ANOVA
[object Object],[object Object],[object Object],ANOVA
[object Object],[object Object],[object Object],[object Object],ANOVA
Cyber shy Cyber native Skill ANOVA
Standard Skill New A New B ANOVA
Standard Skill New A New A New B New B ANOVA
[object Object],[object Object],[object Object],[object Object],[object Object],Non-parametric test
You have performed a systematic review of literature
You have generated an answerable question
You have generated a
You have designed a “clean” experiment
What is the next step?
You have Been introdu ced   to  stats

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Methods for Tina

  • 1. Some experimental methods in Educational Research Questions Design Analysis Adam Dubrowski, HSC Learning Institute
  • 3. You need to perform a systematic review of literature
  • 4. You need to generate an answerable question
  • 5. You need to generate a
  • 6. You need to design of a “clean” experiment
  • 7. You need to be able to us e the stats
  • 8. You need to generate an answerable question
  • 9.
  • 10.
  • 11.
  • 12.
  • 18.
  • 19.
  • 20.
  • 21.
  • 22.
  • 23.
  • 25. Hypothesis A hypothesis [from Greek] consists either of a suggested explanation of a phenomenon or of a reasoned proposal suggesting a possible relationship between multiple phenomena. In science: The Scientific Method requires that one can test a scientific hypothesis. Generally base such hypotheses on previous observations or on extensions of scientific theories.
  • 26.
  • 27.
  • 28. Hypothesis: Variables An independent variable is the variable whose value one actively controls and can change. A dependent variable is the thing whose value then changes as a result. Example: In a study of how introduction of eLearning modules affect the adherence to a program, a researcher could compare the course drop out rate (the ? variables) with the presence of eLearning module (the ? Variable), and attempt to draw a conclusion.
  • 29. Hypothesis: Variables An independent variable is the variable whose value one actively controls and can change. A dependent variable is the thing whose value then changes as a result.
  • 30. Hypothesis testing In statistics, there are only two kinds of hypothesis that are being tested: The null hypothesis or H 0 . The alternative hypothesis or H 1 .
  • 31. Hypothesis testing In education research, the null hypothesis may be used to test differences in intervention and control groups at the end of a program, and the assumption is that no difference exists between the two groups for the outcome variable being compared.
  • 32. Not guilty unless proven otherwise
  • 33. Hypothesis testing: Statistical significance The “p” value or alpha is the chance you are willing to take to reject the Ho [not guilty], while you actually should have retained it. The choice of the level is up to the experimenter and may be determined as a function of the phenomenon being studied.
  • 34. Pause
  • 36. You have performed a systematic review of literature
  • 37. You have generated an answerable question
  • 39. What is the next step?
  • 40. You need to design of a “clean” experiment
  • 41. Example You may wish to examine if a new hands on simulation based educational program leads to adherence to hand washing protocols [by nurses ….newly hired nurses …etc]. Is this a good research question? Does it have all the parts? What are the hypotheses? Ho H1 Experimental design
  • 42. Example You may wish to examine if a new hands on simulation based educational program leads to adherence to hand washing protocols. Is this a good research question? OK, but not great Does it have all the parts? No control, participants, outcomes. What are the hypotheses? Ho: Old and new programs are the same H1: Old and new are different (note no directionality) Experimental design
  • 43. To test this hypothesis requires 2 conditions to be met (Cook and Campbell; 1979) . 1. Changes in the outcome occur after , rather than before the institution of the program/intervention. 2. The program/intervention are the only reasonable explanation for the changes in the outcome. If there are any other explanations for the observed changes in outcomes the researcher cannot be confident that the presumed cause effect relationship is correct. How do you know if there are other explanations? Experimental design
  • 44. Eliminating these alternative explanations is the purpose of a proper experimental design. These are also known as threats to internal validity (Cook and Campbell 1979). Experimental design
  • 45. Minimizing Threats to Internal Validity: Argument . This is the least effective ways to argue threats to internal validity. - In a paper it is in the intro Design . This is by far the most powerful method to rule out alternative explanations. - In a paper it is in the methods Analysis . The researcher can use various statistical analysis performed on the collected data. - In a paper it is in the methods and results Experimental design
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  • 58. Pause
  • 59. You have performed a systematic review of literature
  • 60. You have generated an answerable question
  • 62. You have designed a “clean” experiment
  • 63. What is the next step?
  • 64. You need to be able to us e the stats
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  • 72. Post Pre Skill O X O T-test
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  • 77. Standard Skill New A New B ANOVA
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  • 80. Cyber shy Cyber native Skill ANOVA
  • 81. Standard Skill New A New B ANOVA
  • 82. Standard Skill New A New A New B New B ANOVA
  • 83.
  • 84. You have performed a systematic review of literature
  • 85. You have generated an answerable question
  • 87. You have designed a “clean” experiment
  • 88. What is the next step?
  • 89. You have Been introdu ced to stats