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DHMO Related Info:
One potential benefit of online surveys is the use of “conditional branching.” In conventional paper and pencil surveys, one question might ask if the respondent has shopped for a new car during the last eight months. If the respondent answers “no,” he or she will be asked to skip ahead several questions—., going straight to question 17 instead of proceeding to number 9. If the respondent answered “yes,” he or she would be instructed to go to the next question which, along with the next several ones, would address issues related to this shopping experience. Conditional branching allows the computer to skip directly to the appropriate question. If a respondent is asked which brands he or she considered, it is also possible to customize brand comparison questions to those listed. Suppose, for example, that the respondent considered Ford, Toyota, and Hyundai, it would be possible to ask the subject questions about his or her view of the relative quality of each respective pair—in this case, Ford vs. Toyota, Ford vs. Hyundai, and Toyota vs. Hyundai.
In the design of experiments , two or more "treatments" are applied to estimate the difference between the mean responses for the treatments. For example, an experiment on baking bread could estimate the difference in the responses associated with quantitative variables, such as the ratio of water to flour, and with qualitative variables, such as strains of yeast. Experimentation is the step in the scientific method that helps people decide between two or more competing explanations – or hypotheses . These hypotheses suggest reasons to explain a phenomenon, or predict the results of an action. An example might be the hypothesis that "if I release this ball, it will fall to the floor": this suggestion can then be tested by carrying out the experiment of letting go of the ball, and observing the results. Formally, a hypothesis is compared against its opposite or null hypothesis ("if I release this ball, it will not fall to the floor"). The null hypothesis is that there is no explanation or predictive power of the phenomenon through the reasoning that is being investigated. Once hypotheses are defined, an experiment can be carried out and the results analysed to confirm, refute, or define the accuracy of the hypotheses.