Preliminary Data Management and Testing Statistical Assumptions
During this webinar, we will review the primary steps of data management, such as dealing with non-responses, outliers, and recoding variables. We will also review the procedures to verify statistical assumptions such as normality, linearity, and homoscedasticity.
This webinar will walk through data cleaning procedures and verification of statistical assumptions utilizing the statistical software known as SPSS. Attendees will learn valuable information about manually going through the process of data cleaning and the impact it can have on one’s results.
There is other statistical software, such as Intellectus Statistics, that have created AI features to assist with data management. Intellectus Statistics now has the ability to help identify outliers, missing data, and level of measurement as you upload your data and will walk you through a confirmation process to start cleaning the data automatically. Verifying statistical assumptions is also a breeze with Intellectus Statistics’ user-friendly interface.
Learn more about Intellectus Statistics and the data cleaning wizard here. We look forward to having you on the webinar!
You can also visit our blog to learn more about data management in SPSS.
You may also be interested in these free resources:
Discover More Free ResourcesIntellectus Statistics is our proprietary statistics package that generates an accurate and reliable, APA 7th-edition, quantitative results document, in natural language.
This directory provides researchers with a near-exhaustive array of inferential and non-inferential statistical analyses.
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