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Research Methods in Management - Case Study Example

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The researcher of the following paper claims that corporate managers find themselves being trained in the skills and competencies of a researcher as well as a leader, giving them insight into staff and process evaluations, as well as giving managers the ability to design research projects…
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Download file to see previous pages In experimental research, there is the explicit assumption that the universe functions according to causal laws (Creswell, 2003). The purpose of an experimental design is to establish the cause-effect relationship between sets of variables, by way of isolating assumed casual factors, and controlling suspected confounding or extraneous variables. It is hypothesized that an independent variable causes changes in a dependent variable and that alternate hypotheses can be provided by other factors that are able to influence the results. The design uses random selection procedures to recruit a sample and randomly allocates participants to two or more groups (i.e., treatment group/s and a control group) (Neely, Gregory & Plats, 2005). Due to these random procedures, experimental methods allow for high external validity (a generalization of results to a wider population), as the sample is more likely to be representative of that population. Alternatively, a quasi-experimental research design does not use the random allocation of participants to groups, instead, they are self-selecting (e.g., they have cancer or they do not have cancer) (Bryman, 2002). The quasi-experimental design is used in studies that are unable to control the independent variable, or when it is considered unethical or unfeasible to attempt to control the IV. The two main types of quasi-experimental designs are 1) the non-equivalent control group; and 2) the pre-post design. Non-equivalent control group designs have both a treatment and a control group, whereas the pre-post design has no comparison group, as each participant serves as their own control in regards to their pre-test data. Due to the lack of random allocation, the results of quasi-experiments cannot be generalized to a wider population with as much confidence as with an experimental design. ...Download file to see next pagesRead More
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