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Quasi-experimental Evaluation Design

Question No.1
The paramount distinction between quasi and true experiment is identifiable from the wording of the two. Quasi means almost true while true experiment on the other hand has all characteristics of a design program. The true experiment design consists of the manipulation of the independent variables between the design respective subjects so as to achieve a counter balance near or within the subjects. The test is that any other type of design which does not portray the above mentioned amounts to a quasi experiment design (Rossi, P. H., Freeman & Lipsey, 2004).
The very occurrence and application of quasi experimental design is traceable in situations whereby casual conclusions are hard to draw since no control is at all exercisable over the variables. When used effectively they give out reliable results in assessing public programs. Quasi experimental design is appropriately applied in instances whereby estimation of the randomized design is required. Quasi experimental design is mainly done by bringing together participating and non participating targets and endeavoring to match them. The matching of the targets is designed to make equivalent or relevant variables. The end result is having a clear comparison of the participants with non participants so as to evaluate the final measures. The central differences between the two are the fact that quasi experimental provides additional term representing differences of pre invention nature (Shadish, Cook & Campbell, 2002).
Question No.2
The failed program has been using a quasi experimental design which solely relies on the matching of the variables to get an estimate. It is very essential to note that the failure of the program could be attributed to use of a design whereby the evaluation of the program was not done using reliable variables. Another mode of explanation to support what led to failure in the program is the fact that archival data may have been used which was not designed to evaluate the program and for other purposes. A fresh research based on the quasi experimental design and specifically when archival data is used does not produce reliable results. For a clear evaluation of the program, true experiment is required whereby data will be randomized relying on manipulation of identifiable variables (Rossi, P. H., Freeman & Lipsey, 2004).
Question 3(a).
I would use a random design to select the control groups to be used in the program.
Question 3(b)
The experimental and control groups would be ready for observation after determining that to a greater extent the design used minimizes critical differences between any intervention and control groups. Any observance before that may present biased effects of the net effects. (Rossi, P. H., Freeman & Lipsey, 2004).
Question 3(c)
The design will generate primary data, and secondary data but it may be important to seek archival data if need arises.
Question 3(d)
The use of quantitative method is appropriate since it analyses variables which differ in magnitude and variables that are very easy to measure. Secondly, the qualitative method can also be used to analyze the categorical variables (Rossi, P. H., Freeman & Lipsey, 2004).
Question No.4
The evaluation will require true experimental test while the data available will be subjected to statistical methods. The conclusions to be drawn from the medical analysis are not in any way casual hence it is more preferable to use the true experimental design so as to make reliable evaluations to practical problems. Independent identifiable variables will require manipulation and subject designing hence the only way to achieve that is by use of true experimental research (Martin, & Kettner, 1996).

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