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Elective Courses (7 required)
Logistic Regression
Logistic regression extends ordinary least squares (OLS) methods to model data with binary (yes/no, success/failure) outcomes. Rather than directly estimating the value of the outcome, logistic regression allows you to estimate the probability of a success or failure.
Tuition: $399 (5 CEUs)
Next dates available:
- September 10, 2010
Rasch Applications in Clinical Assessment, Survey Research, and Educational Measurement
This course covers the practical aspects of construct conceptualization, theory development, and instrument or item bank design, pilot testing, and calibration, relative to the different demands of four primary reasons for measuring (screening, diagnosis, research, accountability).
Tuition: $399 (5 CEUs)
Next dates available:
- September 17, 2010
Bootstrap Methods
This course covers the basic theory and application of the bootstrap family of procedures, with the emphasis on applications.
Tuition: $399 (5 CEUs)
Next dates available:
- September 24, 2010
An Introduction to Bayesian Computing and Techniques
Participants in this course will learn why Bayesian computing has gained wide popularity, and how to apply Markov Chain Monte Carlo techniques (MCMC) to Bayesian statistical modeling using WinBUGS software.
Tuition: $399 (5 CEUs)
Next dates available:
- September 24, 2010
Advanced Logistic Regression
After taking this course, participants will be able to specify, implement and interpret the output of a variety of advanced logistic regression models not covered in the first course, "Logistic Regression."
Tuition: $399 (5 CEUs)
Next dates available:
- October 15, 2010
Practical Rasch Measurement - Further Topics
Continues the exploration of Rasch theory and its application in the Winsteps software, begun in "Practical Rasch Measurement-Core Topics." The visual step-by-step tutorial propels you along the road to success. The Course introduces exciting new topics and delves into earlier topics more deeply.
Tuition: $399 (5 CEUs)
Next dates available:
- October 22, 2010
Modeling Count Data
This course deals with regression models for count data; i.e. models with a response or dependent variable data in the form of a count or rate. The course will cover Poisson regression, the foundation for modeling counts, as well as extensions and modifications to the basic model.
Tuition: $399 (5 CEUs)
Next dates available:
- October 22, 2010
Categorical Data - Applied Modeling
This course continues the analysis of categorical data, contains a review of logistic regression, and introduces multinomial responses for logistic regression, probit, logit and loglinear analysis.
Tuition: $399 (5 CEUs)
Next dates available:
- November 12, 2010
Introduction to Structural Equation Modeling
This course covers the fundamental concepts and theory of Structural Equation Modeling -- describing the relationships between variables. Case studies are used and AMOS software is introduced.
Tuition: $399 (5 CEUs)
Next dates available:
- November 12, 2010
Bayesian Regression Modeling via MCMC Techniques
This course covers the application of Markov Chain Monte Carlo techniques (MCMC) to Bayesian statistical modeling using WinBUGS software.
Tuition: $399 (5 CEUs)
Next dates available:
- November 19, 2010
Missing Data Analysis
This course will cover the theory and practice of two modern methods of handling missing data: maximum likelihood and multiple imputation.
Tuition: $399 (5 CEUs)
Next dates available:
- November 19, 2010
Generalized Linear Models
This course will explain the theory of generalized linear models (GLM), outline the algorithms used for GLM estimation, and explain how to determine which algorithm to use for a given data analysis. GLM allows the modeling of responses, or dependent variables, that take the form of counts, proportions, dichotomies (1/0), positive continuous values, as well as values that follow the normal Gaussian distribution. Logistic, Poisson, and negative binomial regression models are three of the most noteworthy GLM family members.
Tuition: $399 (5 CEUs)
Next dates available:
- November 26, 2010
Meta Analysis
This course will explain meta analysis - the methods that are used to assess multiple statistical studies on the same subject and draw conclusions.
Tuition: $429 (5 CEUs)
Next dates available:
- December 03, 2010
Matrix Algebra Review
This course will provide the basics of vector and matrix algebra and operations necessary to understand multivariate statistical methods, including the notions of the matrix inverse, generalized inverse and eigenvalues and eigenvectors. After successfully completing this course, you will be able to use and understand vector and matrix operations and equations, find and use a matrix inverse, and use and understand the eigenset of a symmetric matrix.
Tuition: $299 (3.75 CEUs)
Next dates available:
- December 10, 2010
Practical Rasch Measurement - Core Topics
Rasch analysis constructs linear measures from scored observations, such as responses to multiple-choice questions, Likert scales and quality-of-life assessments. This course covers the practical aspects of data setup, analysis, output interpretation, fit analysis, differential item functioning, dimensionality and reporting.
Tuition: $429 (5 CEUs)
Next dates available:
- January 07, 2011
Advanced Structural Equation Modeling
This course covers many popular advanced SEM models with practical exercises. Models covered include Multiple Indicator an Multiple Causes models (MIMIC), Multiple Group models, Multilevel (HLM) models, Mixture models, Structured Means models, Multitrait-Multimethod models, Second Order Factor models, Interaction models, and Dynamic Factor models.
Tuition: $399 (5 CEUs)
Next dates available:
- January 14, 2011
Analysis and Sensitivity Analysis for Missing Data
This course extends the study of missing data analysis that was introduced in "Missing Data", and covers the situation when data are not missing at random.
Tuition: $399 (5 CEUs)
Next dates available:
- January 21, 2011
Introduction to Resampling Methods
The course introduces the basic concepts and methods of resampling methods, including bootstrap procedures and permutation (randomization) tests, with little or no complex theory or confusing notation.
Tuition: $299 (3.75 CEUs)
Next dates available:
- February 25, 2011
Randomization, Permutation and Exact Tests
Online course in randomization (permutation) tests.
Tuition: $399
Next dates available:
- April 22, 2011
Analysis of Survey Data from Complex Sample Designs
This course teaches you how to estimate variances for complex surveys, and also how to model the results using linear and logistic regression, and other generalized linear models.
Tuition: $399 (5 CEUs)
Next dates available:
- June 10, 2011
Introduction to Assessment/Measurement in Education
The aim of this course is to provide an overview to the main statistical and measurement tools that are associated with interpretation of data from tests, including standardized educational tests. Participants will learn how to interpret test results.
Tuition: $399 (5 CEUs)
Next dates available:
- June 17, 2011
Many-Facet Rasch Measurement
This course will cover the analysis and interpretation of judge-intermediated ratings, like essay grading, Olympic ice-skating, therapist ratings of patient behavior, etc.
Tuition: $399 (5 CEUs)
Next dates available:
- June 24, 2011
Modeling Longitudinal and Panel Data
This course covers the extension of Generalized Linear Models (GLM) to model varieties of longitudinal and clustered data, called panel data.
Tuition: $399 (5 CEUs)
Next dates available:
- July 01, 2011
Survey Design and Sampling Procedures
This course covers the crafting of survey questions, the design of surveys, and different sampling procedures that are used in practice. Longstanding basic principles of survey design are covered, and the impact of the trend toward increased respondent resistance is discussed.
Tuition: $399 (5 CEUs)
Next dates available:
- July 08, 2011
Visualization in R with ggplot2
R Project ggplot2 taught by its creator. This course teaches the "Grammar of graphics" in an elegant, efficient and systematic manner.
Tuition: $399 (5 CEUs)
Next dates available:
- July 22, 2011
Survey Analysis
This course covers the analysis of data gathered in surveys.
Tuition: $399 (5 CEUs)
Next dates available:
- To be Announced.
Introduction to Bayesian Statistics
This course will introduce you to the basic ideas of Bayesian Statistics. You will learn how to perform Bayesian analysis for a binomial proportion, a normal mean, the difference between normal means, the difference between proportions, and for a simple linear regression model.
Tuition: $399 (5 CEUs)
Next dates available:
- To be Announced.
Nonparametric Statistics
This course teaches you how to perform a range of nonparametric statistical analyses - robust procedures that do not assume that data are samples from prespecified families of distribution such as the normal or exponential.
Tuition: $399 (5 CEUs)
Next dates available:
- To be Announced.
Maximum Likelihood Estimation
This course will cover the derivation of maximum likelihood estimates, and their properties.
Tuition: $179 (2.5 CEUs)
Next dates available:
- To be Announced.
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