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Design of Experiment

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The team is now convinced that there are four main factors that impact student scores on the MEAP tests and the other remaining factors are just noise. They now want to conduct an experiment to calculate the impact of each of the factors on student MEAP scores. They first must design the experiment, then conduct the experiment, then analyze the results. The team has determined that they can effectively conduct the experiment by using just two levels for each of the factors. They have also determined that the experiment will not be effective if there is confounding between main factors, or if there is confounding between main factors and two factor interactions. The board of education has asked that the team minimize the costs associated with the experiment by conducting the fewest number of trials necessary to meet their recommendations.

Attached is Designed Of Experiment, with the eight (8) numbers that is the experiment results. From those results need to determine the optimum average score.

1. Find the optimum settings for each of the four factors.

2. Calculate the optimum average score. [Note: the team believes there is no interaction between any of the factors so it is assuming that only the main factors have an affect on the test scores. While this stance may be somewhat risky in other experiments, the team is confident that its team of experts is correct in assuming no interaction between the main factors in this particular experiment.]

3.Assuming the district makes the changes to reach the optimum score, determine whether the district will maintain its national funding. [Note: you will need to reference the solution for the Z-score exercise.]

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Project: Education Project
Deliverable: DOE - Part 2 of the deliverable
Student last name: Your LAST name here

Optimal settings (+ and - for each)
A B C D
+ ::: - ::: - ::: -

Optimal score ::: 75

Will the district be able to maintain funding?

Yes or no? :::

Part 2 of the assignment
Comes from the eight numbers that are part of the DOE
your chosen experiment.

The team is now convinced that there are four main factors that impact student scores on the MEAP tests and the other remaining factors are just noise. They now want to conduct an experiment to calculate the impact of each of the factors on student MEAP scores. They first must design the experiment, then conduct the experiment, then analyze the results. The team has determined that they can effectively conduct the experiment by using just two levels for each of the factors. They have also determined that the experiment will not be effective if there is confounding between main factors, or if there is confounding between main factors and two factor interactions. The board of education has asked that the team minimize the costs associated with the experiment by conducting the fewest number of trials necessary to meet their ...

$2.19
See Also This Related BrainMass Solution

Statistics Questions - quasi-experiments

A. Complete Jackson Even-numbered chapter exercises, p, 360

1Describe the advantages and disadvantages of quasi-experiments? What is the fundamental weakness of a quasi-experimental design? Why is it a weakness? Does its weakness always matter?
2If you randomly assign participants to groups, can you assume the groups are equivalent at the beginning of the study? At the end? Why or why not? If you cannot assume equivalence at either end, what can you do? Please explain.
3Explain and give examples of how the particular outcomes of a study can suggest if a particular threat is likely to have been present.
4Describe each of the following types of designs, explain its logic, and why the design does or does not address the selection threats discussed in Chapter 7 of Trochim and Donnelly (2006):
Non-equivalent control group pretest only
Non-equivalent control group pretest/posttest
Cross-sectional
Regression-Discontinuity
5Why are quasi-experimental designs used more often than experimental designs?
6One conclusion you might reach (hint) after completing the readings for this assignment is that there are no bad designs, only bad design choices (and implementations). State a research question for which a single-group post-test only design can yield relatively unambiguous findings.

Part II - Answer the following questions:
1What research question(s) does the study address?
2What is Goldberg's rationale for the study? Was the study designed to contribute to theory? Do the results of the study contribute to theory? For both questions: If so, how? If not, why not?
3What constructs does the study address? How are they operationalized?
4What are the independent and dependent variables in the study?
5Name the type of design the researchers used.
6What internal and external validity threats did the researchers address in their design? How did they address them? Are there threats they did not address? If so how does the failure to address the threats affect the researchers' interpretations of their findings? Are Goldberg's conclusions convincing? Why or why not?
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