Enrollment for this workshop will open summer 2018
Sign up to get all the final workshop details as soon as enrollment opens
Tentative Workshop Outline


Module 1:  Conceptual Review

-- Linear Mixed Models
-- Generalized Linear Models (not mixed)

 

Module 2: Overview of Generalized Linear Mixed Models Data

-- Types of data and designs that fit
-- An example of normally distributed data in GLMM framework



Module 3: Poisson and Negative Binomial Models for Count Data

-- Random Intercept and Slopes
​​​​-- Model Assumptions
​​​​​​​-- Building Models
 

Module 4: Logistic Models for Binary Data

-- Random Intercept and Slopes
​​​​-- Model Assumptions
​​​​​​​-- Building Models
 
 

Module 5: Ordinal Models for Ordered Categorical Data

-- Random Intercept and Slopes
​​​​-- Model Assumptions
​​​​​​​-- Building Models
 
 

Module 6: Generalized Logit Models for Multinomial Data

-- Random Intercept and Slopes
​​​​-- Model Assumptions
​​​​​​​-- Building Models
 

Module 7: Correlated Errors (repeated measures, spatial correlation)
 

Module 8: TBD
Potential options:
-- More detail from other modules
-- Models with gamma or beta distributions
-- Power and sample size​​​​​​​

​​​​​​
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Tentative Dates and Times:



Live Workshop: Fridays from 12 Noon - 2pm (EST)

Module 1 – October 26 

Module 2 – November 2 

Module 3 – November 9 

Module 4 – November 16

------------------------- Break Week --------------------------

Module 5 – November 30

Module 6 – December 7


Module 7 – December 1

​Module 8 – December 21

 

​​​​​​Q&A Sessions: Thursdays from 12 Noon - 1pm (EST)

Module 1 – November 1

Module 2 – November 8

Module 3 – November 15

​​​​​
------------------------- Break Week --------------------------


Module 4 – November 29

Module 5 – December 6


Module 6 – December 13

Module 7 – December 20


------------------------- Break Week --------------------------


Module 8 – January 3
 

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Software and Resources
This workshop will provide resources for the following software:
 SAS
SPSS
R
Stata

Included for each software:
Exercises and solutions
Data sets
 Syntax and Demo Videos
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Your Instructor

Kim has more than a decade of professional and academic experience in regression and linear models, categorical data, generalized linear models, mixed effects models, nonlinear models, repeated measures, and experimental design. 

While she enjoys working with all clients, Kim particularly enjoys working with those who feel they have a less-than-perfect relationship with statistics.

Her goal is to spread an appreciation of statistics across many fields of study, starting by making it understandable to those who interact with it.

Your Satisfaction Is Guaranteed

As with all our programs, your satisfaction is guaranteed. If you participate fully in this workshop–watch, read, and try out everything included–and find you are not satisfied for any reason, we will give you a full refund, no questions asked. Just notify us within 90 days of purchasing the program.

© 2018 THE ANALYSIS FACTOR
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