Evaluation of statistics
Academic help for your empiricism
“Do not trust statistics that you did not fake yourself.” This presumably Winston Churchill statement shows how much statistics turn and bend until you get the result you want. It is obvious that this is not a scientific approach.
Statistical evaluations – what is at stake
The scientific evaluation of statistics initially deals with the quality criteria of measuring a survey on which statistics are based. One criterion is reliability, i. the measure of the reproducibility of results, which indicates the reliability of a measurement. In the evaluation, the reliability is the quotient of the variance of the true and observed values, whereby this quotient can lie in the value range between 0 and 1.
The higher the relationship between the measured and actual value, the higher the reliability. The maximum value of 1 indicates the highest possible reliability. Furthermore, the statistical evaluation always requires the assessment of the validity of the collected data. Validity means validity and indicates the extent to which a measuring instrument has measured what it should measure. This is not always the case as there can be systematic bias. In a personalized election poll, the outcome may be significantly distorted by the shame of coming out to others as voters of extremist parties. So for the quality assessment of a statistic, you always have to ask where the data came from and how it was collected. If reasonably reliable and valid data are available, the statistical evaluation must be continued with the determination of the distribution form (Gaussian curve or non-normal distribution), the characterization of samples and, above all, the assessment of significant values.
That sounds too complicated? Do not worry.
This feeling is shared by many students. Students of the social sciences in particular think that they only have to deal with social issues on a theoretical level and are then negatively surprised when they have to deal with the results of empirical social research in term papers. In addition, in some subjects such as e.g. Political Science Knowledge in statistics for work on electoral and party research are simply assumed, although one has not dealt with it while studying and also does not help the school knowledge. Then you need professional support. Do not worry, our academics will help you with effective advice! Due to their selection on the basis of technical criteria, they not only provide the required competence, but also experience and reliability in order to be able to respond individually to your problem area. Do you need a chapter in your scientific work to evaluate and analyze statistics, or a whole work revolves around empirical social research? Contact us, we will be glad to help you, to facilitate your copywriting and statistical evaluation.