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December 2016

Walk-In Closure

December 19, 2016 - January 4, 2017

Walk-in statistical consulting will be closed from December 19 through January 3, 2017. Walk-in statistical consulting will reopen on Wednesday, January 4, 2017 with our new walk-in hours:  Monday through Thursday, 12 to 3 p.m.

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January 2017

Multiple Imputation in SAS 9.4

January 31 @ 9:00 am - 12:00 pm
Visualization Portal, Math Sciences 5268 + Google Map

Sign up here Description: The purpose of this workshop is to discuss commonly used techniques for handling missing data and common issues that could arise when these techniques are used. In particular, the se workshop will focus on the one of the most commonly used modern methods, multiple imputation. The workshop will cover multiple imputation using the multivariate normal and imputation by chained equations as well as imputation diagnostics.

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February 2017

Applied Survey Data Analysis with Stata

February 7 @ 9:00 am - 12:00 pm
Visualization Portal, Math Sciences 5268 + Google Map

Sign up here Description: This workshop will show how descriptive analyses, both numerical and graphical, can be done with continuous and categorical variables. Subpopulation analysis will be discussed, and then examples of OLS regression and logistic regression will be considered.

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Introduction to Regression with SPSS

February 14 @ 9:00 am - 12:00 pm
Visualization Portal, Math Sciences 5268 + Google Map

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…

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Introduction to R

February 28 @ 9:00 am - 12:00 pm
Visualization Portal, Math Sciences 5268 + Google Map

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…

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March 2017

Graphics in R: Introduction to ggplot2

March 7 @ 9:00 am - 12:00 pm
Visualization Portal, Math Sciences 5268 + Google Map

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.

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Consulting Closed

March 20 - March 24

Walk in consulting will be closed from March 20, 2017 to March 24, 2017.

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April 2017

Applied Survey Data Analysis using SAS 9.4

April 10 @ 9:00 am - 12:00 pm
Visualization Portal, Math Sciences 5268 + Google Map

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.

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Introduction to Mplus

April 24 @ 9:00 am - 12:00 pm
Visualization Portal, Math Sciences 5268 + Google Map

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…

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