[…]are study designs using more than two factors / variables for group allocation. They are rare (and complicated). If the design has at least two groups (are at least a one factor design) are groups matched or unmatched? What scales of measure is appropriate for the observations you have? If […]
[…](if different users come to the same result when estimating the same phenomenon). Estimate test-retest agreement (if the same user come to the same estimate if their testing of the same phenomenon is repeated) The statistical approach most suitable depends on what level of measurement (or scale of measurement) is most appropriate […]
[…]tests except Cox regression. G*Power can be downloaded from Dussedorf University. Examples for comparing two groups Click to watch any of these videos. Example for Logistic regression Click to watch any of these videos. Useful links Tips around using […]
[…]pre-reading What this web page adds None This website will discuss what creativity actually is and the importance of it in research. Creativity is a personality trait that is very important in research. Our ability to be creative can be influenced. Below is Ken Robinson’s classical speech describing how an […]
[…]and finally progress . Please take a moment to contemplate on this statement: “The more comfortable we become with being stupid, the deeper we will wade into the unknown and the more likely we are to make big discoveries.” (Martin A. Schwartz, Professor of Microbiology) Support from other persons with experience […]
[…]electronic health records, frequent health problems management, quality assessment, pre test probability, health system management and organization, etc.. … Source: […]
[…]. It is a common misconception that exclusion criteria are a mirror of the inclusion criteria. A common example of this might be that being female is one of the inclusion criteria and subsequently male gender is stated as an exclusion criteria. However, males were never included in the first […]
[…]to the concepts sensitivity, specificity and ROC-analysis. Reading this will give you an understanding of these concepts and how to use them. Useful links Diagnostic test evaluation at […]
[…]groups are followed to see what happens. An example would be to follow one group of non-smokers and compare their risk for lung cancer with another cohort of smokers.) Cross-sectional studies Retrospective studies (observations on an individual level already exists in databases, charts or archives. They just needs to be […]
[…]are a reasonable amount of preexisting knowledge and theory in the topic studied . The outcome is presented as some form of agreement with the preexisting theory. It may sometimes be presented using some form of statistics. Summative content analysis: Creating a “Word sallad” where the size of each word represents […]
