Designing Experiments
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Designing Experiments
It is critical that the writer pay attentions to details for this paper and respond to all questions mentioned here. APA is critical especially when using tables. The writer must read on how to use tables in word document. The are 4 main component to address here and the writer must clearly address this 4 main points while expanding and addressing all component of the assignment.
While it is important to master the use of SPSS software to conduct data analysis, it is equally important to ensure quality in the methods used to collect the data analyzed. Recall the familiar adage, “Garbage in, garbage out,” and consider that if data is poorly collected, the analysis of that data will also suffer. Think about how the interrelatedness of the hypothesis, data collection method, and statistical analysis impacts research quality.
Having reviewed the readings from Experimental and Quasi-Experimental Designs for Research, by Campbell and Stanley, consider the hypothesis you have chosen for your dataset from Week 3.
How might you design an experiment that will effectively collect data for this chosen hypothesis?
How will you minimize threats to validity?
Will it be a true experiment or a quasi-experiment?
Why or why not?
I will email the Dataset for this assignment.
SAMPLE ANSWER
The core purpose of this paper will be to establish whether there is any causation relationship between the number of employees, the gender of the supervisor and the number of working hours with a rate of injury rate at a particular site. Thus, the analysis will revolve around finding evidence on whether there exists any relationship. This will help in determining the trend of the rate of injuries in these sites. This research paper will follow the Experimental design procedures since the sample to be studied will be randomly selected (Grabbe, 2015). This is a necessary and a sufficient precaution taken to ensure that the researcher’s biasedness does not affect the results of the study. Furthermore, it reduces the effect of confounding variables.
The research will be guided by the following objectives.
- To establish whether some sites are safer than others.
- To determine whether the gender of the supervisor facilitates the increase of injury rates in a given place.
- To ascertain the existence and nature of the relationship between injury rate and working sites and gender of the supervisor and if it does exist, which nature of the relationship.
In agreement with (Zikmund, 2012), the fundamental of good research is based on the research objective. This they act as a map for the analysis and also the inference of any study. The research will be a completely randomized design for simplicity and convenience purposes. The sample will be randomly selected from the three sites (Seattle, Boston, and Phoenix). The supervisors, in this case, will act as the treatment, and through randomization the experiment will control the effect of extraneous variables (Grabbe, 2015).
One of the purposes of using this design in this research is to reduce the variability (Zikmund, 2012). This will make it easier for the researcher to detect and establish whether there exist a relationship between different treatments. Furthermore, to eliminate the threat to internal and internal validity, replication in the data analysis will be conducted so that the results can be interpreted at a certain level of significance. This is because (Zikmund, 2012) stipulates that all results of the research study are useful when they are accurately and confidently interpreted.
The following research hypothesis will guide this experiment design: H0: There is no significance difference in injury rate at different working sites when different genders are managing. Versus, H1: There is a significance difference in injury rate at different working sites when different genders are managing. This hypothesis will act as the backbone of the whole analysis, which will help in making an inference (Grabbe, 2015). Furthermore, this hypothesis is like a summary of the objectives of the research. Based on this hypothesis the research question that will be answered in this study is: is there any significance difference in injury rate at different working sites when different genders are managing?
Some of the analysis that will be carried out in favor of answering the research question are ANOVA. This analysis will help in establishing whether there exists a significant difference between injury rates at different working sites when there is increased the number of employees or working hours. Furthermore, correlation analysis will be conducted to find out the nature of the relationship between different variables. Just because, correlation can be used to predict the behavior of one variable based on the other (Grabbe, 2015). Also, regression analysis will be performed to come up with a model that will help in predicting the rate of injuries using other variables.
References
Grabbe, J. W. (2015). Implications of Experimental versus Quasi-Experimental Designs. The Palgrave Handbook of Research Design in Business and Management, 141.
Zikmund, W., Babin, B., Carr, J., & Griffin, M. (2012). Business research methods. Cengage Learning.
McDermott, R. (2011). Internal and external validity. Cambridge handbook of experimental political science, 27-40.
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