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Hypothesis Testing

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About 8 pages (2,380 words)
Statistical hypothesis testing Summary

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development forces the researcher to clearly state the purpose of the research activity.
  • They determine what variables will not be considered in a study, as well as those that will be considered.
  • They require the researcher to have an operational definition of the variables of interest.
  • The worth of a hypothesis often depends on the researcher's skills. Since the hypothesis is the basis of a research study, it is necessary for the hypothesis be developed with a great deal of thought and contemplation. There are basic criteria to consider when developing a hypothesis, in order to ensure that it meets the needs of the study and the researcher. A good hypothesis should:

    1. Have logical consistency. Based on the current research literature and knowledge base, does this hypothesis make sense?
    2. Be in step with the current literature and/or provide a good basis for any differences. Though it does not have to support the current body of literature, it is necessary to provide a good rationale for stepping away from the mainstream.
    3. Be testable. If one cannot design the means to conduct the research, the hypothesis means nothing.
    4. Be

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    Hypothesis Testing from Encyclopedia of Management. ©2005-2006 Thomson Gale, a part of the Thomson Corporation. All rights reserved.

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