Monday, December 4th at 10:30 AM

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ATTENTION: Webinar in English!

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One of the most common challenges encountered during statistical analysis is handling missing or incomplete data.

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These missing data can result from various factors, such as errors in data collection, participants' refusal to answer specific questions, or the simple fact that some data was not recorded.

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During the webinar, we will demonstrate that the reasons for missing values can be categorized as "ignorable" and "non-ignorable":

• In the first case, the presence of missing values can be considered neutral for the study's purposes.

• In the second case, these missing values must be considered in the parameterization of the phenomenon of interest.

Join the webinar to discover the most effective strategy for quickly addressing the issue of missing data with the assistance of Statistics for Data Analysis powered by SPSS.

During the webinar you will have the opportunity to write questions in a special Q&A section, relevant to the topic at hand, which we will answer in the last minutes of the appointment. In case, due to lack of time, the tutor will not be able to answer all the questions, we will collect them and send the answers by e-mail.