February 2017
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Introduction to Regression with SPSS

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Introduction to R

March 2017
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Graphics in R: Introduction to ggplot2

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Consulting Closed

April 2017
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Applied Survey Data Analysis using SAS 9.4

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Introduction to Mplus

May 2017
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Analyzing and Visualizing Interactions in SAS 9.4

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SAS Programming I

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Stata Data Management

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Consulting closed

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Sign up here Description: This workshop will introduce some fundamental topics in regression analysis using SPSS in three parts. The first part will begin with a brief overview of the SPSS environment, as well simple data exploration techniques to ensure accurate analysis using simple and multiple regression. The second part will introduce regression diagnostics such as checking for normality of residuals, unusual and influential data, homoscedasticity and multicollinearity. The third part of this workshop will introduce categorical variables. Special attention…

Find out more »Sign up here Description: R is a powerful statistical package that runs on many platforms, including Windows, Macintosh and Unix. This class is designed for people who are just getting started using R. The students in the class will have a hands-on experience using R for statistics, graphics, and data management. The R class notes do not contain any of the computer output. The class notes are not meant to be an R textbook or a reference manual. However, it…

Find out more »Sign up here Description: This workshop introduces how to use the R ggplot2 package to produce publication-quality graphics, particularly for data analysis accompanying a planned regression model. First, the underlying grammar (system) of graphics is introduced with demonstrations. Then the usage of ggplot2 for exploratory graphs, model diagnostics, and presentation of model results is illustrated through 3 examples.

Find out more »Walk in consulting will be closed from March 20, 2017 to March 24, 2017.

Find out more »Monday, April 10 from 9 a.m. to 12 noon in the Visualization Portal, Math Sciences 5628 Sign up here. The workshop notes are here. Description: This workshop covers descriptive analyses, both numerical and graphical, with both continuous and categorical variables. Subpopulation analysis will be discussed, and then examples of OLS regression and logistic regression will be considered. NOTE: All researchers are welcome to attend.

Find out more »Monday, April 24 from 9 a.m. to 12 noon in the Visualization Portal, Math Sciences 5628 Sign up here. The workshop notes are here. Description: Mplus is a powerful statistical package used for the analysis of both observed and latent variables. Among the kinds of analysis it can perform are exploratory factor analysis, confirmatory factor analysis, latent class analysis, latent growth curve modeling, structural equation modeling and multilevel modeling. This workshop is designed for people who are just getting started…

Find out more »Monday, May 1 from 9 a.m. to 12 noon in the Visualization Portal, Math Sciences 5628 Sign up here. The workshop notes are here. Description: This workshop introduces methods of analyzing interactions (moderated effects) in regression models: calculating, comparing and graphing simple effects and slopes. Specifically, we emphasize the use of proc plm and the lsmeans and estimates statements in SAS in conjunction with a solid understanding of the regression equation. Examples include two- and three-way interactions in linear regression…

Find out more »Tuesday, May 2 through Thursday, May 4 from 9 a.m. to 5 p.m. in the Visualization Portal, Math Sciences 5628 Sign up here. Description: This course is for users who want to learn how to write SAS programs. It is the entry point to learning SAS programming and is a prerequisite to many other SAS courses. This workshop will be presented by an instructor from SAS. This is the first of two workshops in preparation for the Base SAS Certification…

Find out more »Monday, May 8 from 9 a.m. to 12 noon in in the Visualization Portal, Math Sciences 5628 Sign up here. The workshop notes will be posted soon here. Description: This workshop covers Stata commands and methods for common data management tasks, such as identifying data errors, identifying duplicated data, specifying missing values, working with string variables, labeling variables, creating new variables, merging datasets, processing data by groups and using loops for repetitive tasks. The workshops is focused on preparing data for…

Find out more »Consulting is closed for the Memorial Day holiday

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