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Statistical power mainly deals with Type II errors. It should be noted by the researcher that the larger the size of the sample, the easier it is for the researcher to achieve the 0. 05 level of significance. If the sample is too small, however, then the investigator might commit a Type II error due to insufficient power. Power analysis is normally conducted before the data collection. The main purpose underlying power analysis is to help the researcher to determine the smallest sample size that is suitable to detect the effect of a given test at the desired level of significance. The reason for applying power analysis is that, ideally, the investigator desires a smaller sample because larger samples are often costlier than smaller samples. Smaller samples also optimize the significance testing. Factors That Affect PowerThere are certain factors that affect power in power analysis: The desired power level affects the power in analysis to a great extent. The desired power level is typically 0. 80, but the researcher performing power analysis can specify the higher level, such as 0. 90, which means that there is a 90% probability the researcher will not commit a type II error. One of the stringent factors in power analysis is the desired level of significance. Suppose the researcher specifies 0.001 as the level of significance. In this case, the power in power analysis will be decreased. Thus, an alpha level of 0.001 is applicable only in those situations in which the researcher is mainly interested in avoiding a Type I error. Another factor affecting the power of an analysis is the strength of association or the strength of relationship between the two variables. The greater this strength of association is, the more the power in the power analysis. This means that a greater strength of association leads to a greater value of power in power analysis. A factor called sensitivity affects the power in power analysis. The term sensitivity refers to the number of true positives out of the total of true positives and false negatives. D service proofreading proofreading helped clear. Leader over 20 years custom world. Home ghostwriter for hire professional personal statement writers follow. Consultant Consulting includes interpretation generation using spss, stata, amos e-views.
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