A 2- to 3-paragraph description of your research study. provide your

  • Review the Campbell and Stanley text, Experimental and Quasi-Experimental Designs for Research, as well as the Discussion questions and responses from Week 1.
  •  
  • Consider the focus of the research you would like to propose as part of your final research proposal. Also consider the designs listed in the Campbell and Stanley text and the feedback you received in Week 1 from your instructor and classmates. Based on this information, craft a research question for your Final Project.

  • Think about which research design from the Campbell and Stanley text you would choose to answer your research question.
  •  
  • Review survey information from the Nachmias & Frankfort-Nachmias text and from the Ahern article.
  •  
  • Determine the appropriateness of Internet and survey research in gathering the data for your topic.

 

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Quantitative research design

 

Quantitative research design is among the sufficient and excellent techniques of approving and disapproving hypothesis as well as finalizing research study results. The advantage is that their structures for many years have not changed and therefore it is standard across many scientific fields and disciplines. The quantitative research designs are most applied by physical scientists, in social sciences, economics, and education as it yields to a conclusive and comprehensive answer after the results are analyzed and results can be legitimately discussed and published (Levy, & Ellis, 2011).

 

Quasi-experiments is a good example of quantitative research design. They have raised issue of concern in terms of internal validity because treatment and control groups may not be comparable at baseline. Quasi-experiments are empirical study in nature and more appropriate and applicable when estimating the causal hypothesis or impact of an intervention on its entire target population without random assignment. It is appropriate to apply quasi-experimental designs in cases of ex-ante impact evaluations (Campbell, & Stanley, 1963). 

 

Quasi-experiments lack excellent quality data and thus the need for assumption. It is evident that quasi-experiments design must make assumptions about the available variables. There exist philosophical assumptions of realism, empiricism, determinism, operationalism, naturalism, pragmatism, and scientific skepticism.

 

Quasi-experimental research design is more feasible to be used in research with the typical time and logistical constraints. However, the identifiable weakness of quasi-experimental research design is the lack of random assignment. Due to lack of random assignment, it leads to reduction of the internal validity thus difficult to make the causal claims (Levy, & Ellis, 2011).

 

Reference

 

Campbell, D. T., & Stanley, J. C. (1963). Experimental and quasi-experimental designs for research. Boston: Houghton Mifflin.

Levy, Y., & Ellis, T. J. (2011). A guide for novice researchers on experimental and quasi-experimental studies in information systems research. Interdisciplinary Journal of Information,

Quantitative research design

 

Quantitative research design is among the sufficient and excellent techniques of approving and disapproving hypothesis as well as finalizing research study results. The advantage is that their structures for many years have not changed and therefore it is standard across many scientific fields and disciplines. The quantitative research designs are most applied by physical scientists, in social sciences, economics, and education as it yields to a conclusive and comprehensive answer after the results are analyzed and results can be legitimately discussed and published (Levy, & Ellis, 2011).

 

Quasi-experiments is a good example of quantitative research design. They have raised issue of concern in terms of internal validity because treatment and control groups may not be comparable at baseline. Quasi-experiments are empirical study in nature and more appropriate and applicable when estimating the causal hypothesis or impact of an intervention on its entire target population without random assignment. It is appropriate to apply quasi-experimental designs in cases of ex-ante impact evaluations (Campbell, & Stanley, 1963). 

 

Quasi-experiments lack excellent quality data and thus the need for assumption. It is evident that quasi-experiments design must make assumptions about the available variables. There exist philosophical assumptions of realism, empiricism, determinism, operationalism, naturalism, pragmatism, and scientific skepticism.

 

Quasi-experimental research design is more feasible to be used in research with the typical time and logistical constraints. However, the identifiable weakness of quasi-experimental research design is the lack of random assignment. Due to lack of random assignment, it leads to reduction of the internal validity thus difficult to make the causal claims (Levy, & Ellis, 2011).

 

Reference

 

Campbell, D. T., & Stanley, J. C. (1963). Experimental and quasi-experimental designs for research. Boston: Houghton Mifflin.

Levy, Y., & Ellis, T. J. (2011). A guide for novice researchers on experimental and quasi-experimental studies in information systems research. Interdisciplinary Journal of Information,

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