SPSS Statistics: statistical analysis V26 (0G51BG)

• Anyone presenting results who gets asked whether the difference is significant.
• Research, quality or marketing teams working with surveys and trials.
• Analysts running statistical tests without being sure which assumptions sit behind them.

• Introduction to statistical analysis: the steps of the research process and measurement levels
• Describing individual variables: charts, summaries, the normal distribution and standardized scores
• Testing hypotheses: principles of statistical testing, one- versus two-sided, type I and II errors, and power
• Testing hypotheses on individual variables: population parameters and sample statistics, the distribution of the sample mean, and confidence intervals
• Relationship between categorical variables: testing independence, assumptions and strength of association
• Difference between two group means: chart, description, test and assumptions
• Differences between more than two group means: testing equality, assumptions and identifying differences
• Relationship between scale variables: testing independence, assumptions and treatment of missing values
• Predicting a scale variable with regression: standardized and unstandardized coefficients, fit, residuals and categorical predictors
• Introduction to Bayesian statistics: the Bayesian approach versus classical test theory, and evaluating a null hypothesis
• Overview of multivariate procedures, supervised models and models that create natural groupings

• Labs on IBM SPSS Statistics with real datasets: every statistical test is run and interpreted during the course.
• Taught directly by IBM Champion instructors from the SIXE team.
• Credly badges available: credly.com/organizations/sixe/badges
• Flexible format — online, classroom or onsite — in closed groups, priced per attendee, in the language of your choice (ES / EN / FR).

How does it differ from the advanced course?
Here you work with one dependent variable at a time: comparing means, chi-square, correlation, regression. advanced analysis (0G09BG) goes multivariate — factor, cluster, discriminant, survival and mixed models.

Are the assumptions of each test covered?
Yes, and it is half the course: every test comes with the conditions it needs and what to do when they do not hold. That is what separates running a procedure from knowing whether the result stands.

Can you deliver it at our premises?
Yes, and remotely with a live instructor too. Closed groups of four to ten people, in Spanish, English or French.

• 0G53BG — using the software (V26)
• 0G09BG — advanced analysis (V26)
• 0A069G — SPSS Modeler foundations