![]() If not responsibly evaluated, missing values can nullify results.Īfter replacing the incorrect 135 with 535, descriptive statistics, including the mean, median, mode, minimum/maximum scores, and standard deviation were examined. When finding any entry errors and determining how groups are balanced, potential missing data is explored. ![]() Had the analysis occurred without checking this, the data analysis, results, and conclusions would have been invalid. For the sake of this review, the authors state that this was an entry error and should have been entered 535 and not 135. If a data point seems inaccurate, a researcher should find this case and confirm if this was an entry error. In examining Figure 1, one suspiciously low measurement (135) was observed, considering time variables. The excerpt for minutes frequencies is the bottom portion of Figure 1 and shows how many cases fell into each time frame with the cumulative percent on the right-hand side. Figure 1 for outputs for frequencies.įigure 1 shows that the administration site appears to be a balanced design with 50 individuals in each group. To keep things simple, only variables of minutes (drug life effect) and administration site (A vs B) are included. First, it is essential to start with the frequencies of the variables. To address this research question, exploratory data analysis is conducted. RQ: Are there differences in drug life (length of effect) for Drug 23 based on the administration site?Ī more precise hypothesis could be: Is drug 23 longer-lasting when administered via site A compared to site B? For this chapter, we will be examining the following research question. ![]() Luckily, software programs are available to conduct exploratory data analysis. Frequencies also inform on missing data and give a sense of outliers (will be discussed below). One can get a better sense of the variables by examining these data to determine whether a balanced and sufficient research design exists. Without this familiarity, decisions could be implemented based on inaccurate delivery or interpretation of medical studies.Įffective presentation of study results, in presentation or manuscript form, typically starts with frequencies and descriptive statistics (ie, mean, medians, standard deviations). Individuals who do not conduct research must still comprehend new studies, and knowledge of fundamentals in analyzing data and interpretation of histograms and boxplots facilitates the ability to appraise recent publications accurately. This comprehension begins with exploring these data through the outputs discussed in this article.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |