Field experiments: design, analysis

Participant Takeaways Describe how to design experiments, carry them out, and analyze the data they yield. Understand the process of designing an experiment including factorial and fractional factorial designs. Examine how a factorial design allows cost reduction, increases efficiency of experimentation, and reveals the essential nature of a process; and discuss its advantages to those who conduct the experiments as well as those to whom the results are reported.

Investigate the logic of hypothesis testing, including analysis of variance and the detailed analysis of experimental data. Formulate understanding of the subject using real examples, including experimentation in the social and economic sciences. Introduce Taguchi methods, and compare and contrast them with more traditional techniques. Learn the technique of regression analysis, and how it compares and contrasts with other techniques studied in the course.

Understand the role of response surface methodology and its basic underpinnings. Gain an understanding of how the analysis of experimental design data is carried out using the most common software packages.

Be able to apply what you have learned immediately upon return to your company. Who Should Attend This course is appropriate for anyone interested in designing, conducting, and analyzing experiments in the biological, chemical, economic, engineering, industrial, medical, physical, psychological, or social sciences. Program Outline Class runs am - pm every day. I enjoyed the opportunity to be in a classroom setting and found the material germane to my job and learned new methods that I will incorporate into our technical approach.

The knowledge I gained from the course I don't think I could get from anywhere [else]. The material he covered was material that I can instantly apply to my job function.

He really focused well on practical applications of the techniques covered in the class. The material is condensed into five days only, but by being dynamic, fun, and using interesting examples, I was able to continuously pay attention and understand the topic.

Every single topic covered was explained with examples. Experiments conducted in a laboratory setting use the laboratory as an environment because researchers have more control over how they manipulate or influence independent variables. However, the laboratory setting always differs from the reality that exists in Show page numbers Download PDF.

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Citation Type. Has PDF. Publication Type. More Filters. Introduction: why natural experiments?