This course will teach you how to estimate descriptive quantities and sampling variances from complex surveys, and also how to fit linear and logistic regression models to complex sample survey data.

Learn how to understand and work with data using Excel.

This course will teach you the statistical basis for analyzing multiple-choice survey or test data – item response theory (IRT).

This course will teach you the fundamental concepts and theory of Structural Equation Modeling, including model specification, model identification, model estimation, model testing, and model modification.

This course will teach you the analysis and interpretation of judge-intermediated ratings, like essay grading, Olympic ice-skating, therapist ratings of patient behavior, etc.

This course will teach you how to apply predictive modeling methods to identify persuadable individuals and to target voters in political campaigns.

In this course, you will learn how to make decisions in building a factor analysis model – including what model to use, the number of factors to retain, and the rotation method to use.

This course will teach you how Rasch analysis constructs linear measures from scored observations. You will learn the practical aspects of data setup, analysis, output interpretation, fit analysis, differential item functioning, dimensionality and reporting.

This course will teach you Rasch theory and its application in the Winsteps software begun in Practical Rasch Measurement-Core Topics. This course introduces exciting new topics and delves into earlier topics more deeply.

This course will teach you how to extract data from a relational database using SQL and merge data into a single file in R so that you can perform statistical operations.

This course will teach you how to analyze data gathered in surveys.

This course will teach you the various methods used for modeling and evaluating survival data or time-to event data.