Designing Experiments:
Paper details:
Discussion: Designing Experiments
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 Quasi­Experimental 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 quasi­experiment? Why or why not?
With these thoughts in mind:
Compose an experiment design for the hypothesis you selected for your chosen dataset. In your response,
address all the factorÕÉ≠†Њ†s that potentially jeopardize the validity of your design. Describe the methods,
variables, and measures of control as well as the corresponding research statistics that will be employed. Address
each design component in 1–2 separate paragraphs