The article “10 Types of Variables in Research and Statistics” by Indeed Career Guide has several advantages. Although it is written by a somewhat commercial website, the work presents an informative introduction to statistics, namely the variables. The language of the article is concise and can easily be understood by people who have recently begun learning the subject. Moreover, the website’s authors mention examples of each type of variable, which is helpful for a thorough examination of the topic. Hence, the article is useful for acknowledging the statistics’ variables in simple terms.
Furthermore, the work discusses the new types of variables that are not present in the course readings. For example, it is demonstrated that a moderating variable modifies the link between variables by amplifying or reducing the influence of the mediating factor (Indeed). This information might be useful for a researcher who wants to receive and analyze precise data. Next, extraneous variables are presented as well; these are factors that impact the dependent variable but were not initially considered by the researcher while planning the experiment. These inadvertent factors might alter the outcomes of a study or how a scientist perceives those results (Indeed). The consideration of such variables can enhance the paper of a scholar since more factors are addressed, so I believe this information to be quite valuable.
Finally, the article states how to control a variable, which is also critical for understanding. As such, it states that study groups with the same level of confounding factors are compared (Indeed). This recommendation is brief but succinct and provides a reader with a comprehension of what they need to do with the data they have acquired. Thus, the work summarizes the most necessary and valuable information about the variables in statistics.
Work Cited
Indeed. “10 Types of Variables in Research and Statistics.” Indeed Career Guide.