Graduate Quantitative Methods Center

Guest Speakers

• Fall 2022 - Qualitative Data Analysis Workshop Series with Dr. Sara Grummert

  Qualitative Data Analysis Workshop Series

  with Dr. Sara Grummert (from Dedoose)

   

  [for informational purposes only]

   

  Dr. Sara Grummert from Dedoose will present a workshop series on Zoom this Fall on qualitative data analysis using Dedoose:  

  • Getting Started with Dedoose 
  • Exploring Patterns and Relationships 

  Workshop descriptions are below. 

  Speaker's Bio

  

  Dr. Sara Grummert, Director of Academic Engagement, Dedoose

  Dr. Sara E. Grummert holds a dual appointment with Dedoose and the Institute for Mixed Methods Research. She leads strategy around how Dedoose engages and supports the larger academic and research community, with a focus on curating learning resources, conducting methods consultations, and training social scientists in how Dedoose can support more nuanced analyses. 

  Dr. Grummert earned her doctorate at the University of California, Riverside in the field of higher education administration and policy. Her areas of expertise include qualitative research design, qualitative data analysis, and advancing the use of visual methods.

   

  Session Information

  Getting Started with Dedoose: Project Set-up, Data Preparation, and Coding

  This interactive workshop introduces participants to managing and analyzing qualitative and mixed methods data using Dedoose. Qualitative analysis strategies and theoretical foundations will be woven throughout the session. Participants will gain skills related to: data preparation and import, excerpting and coding, coding and codebook management, and memoing.

  Exploring Patterns and Relationships: Advanced Tools in Dedoose

  Building on the previous workshop, this workshop introduces participants to advanced data analysis concepts and tools in Dedoose, and how to add quantitative dimensions to analysis. Participants will gain skills related to descriptors and demographics, data visualizations, survey data, and data filtering.

   

• Spring 2023 - Stata Workshops with Dr. Chuck Huber

  Stata Workshop Series

  with Dr. Chuck Huber (from StataCorp and New York University)

   

  [for informational purposes only]

   

  Dr. Chuck Huber from StataCorp will present a workshop series in person this Spring on statistical analysis and programming using Stata:

  • How to Create Basic Stata Commands
  • How to Create Basic Stata Estimation Commands
  • Linear Regression, Margins, and Marginsplot
  • Introduction to Customizable Tables

  Workshop descriptions are below. 

  Speaker's Bio

  

  Dr. Chuck Huber, Director of Statistical Outreach, StataCorp

  Chuck Huber is Director of Statistical Outreach at StataCorp and Adjunct Associate Professor of Biostatistics at New York University. In addition to working with Stata’s team of software developers, he produces instructional videos for the Stata Youtube channel, writes blog entries, develops online NetCourses and gives talks about Stata at conferences and universities. Most of his current work is focused on statistical methods used by behavioral and health scientists. He has published in the areas of neurology, human and animal genetics, alcohol and drug abuse prevention, nutrition and birth defects.

   

   

  Session Information

  How to Create Basic Stata Commands

  This talk will introduce the basics of creating custom Stata commands. You will learn how to store things in memory, where Stata stores things in memory and how to access them, how to handle conditions and branching, and how to use loops.  We will then demonstrate how to use these tools with to write custom Stata commands using -program-, -args-, and -syntax-. You will learn how to write commands to perform simple calculations, post-estimation calculations, and create your own graphics commands. Note that this talk does not demonstrate how to create your own estimation commands.

  How to Create Basic Stata Estimation Commands

  This talk is a continuation of How to Create Basic Stata Commands. I will demonstrate how to create a basic estimation command for personal use.  You will learn how create a command to convert Stata variables to matrices, use matrix calculations to to fit models, display the results in standard Stata output. Then you will learn how to create commands that use -ml- to maximize likelihood functions.  We will also demonstrate how to adapt your commands to handle survey weights.

  Linear Regression, Margins, and Marginsplot

  In this talk I demonstrate how for fit linear regression models which include continuous, binary, and categorical covariates. I show how to use Stata's factor variable notation to fit models with interactions, and how to use Stata's -margins- and -marginsplot- commands to visualize the results of the models.
  

  Introduction to Customizable Tables

  This talk will introduce the new customizable tables in Stata 17. You will learn how to easily create cross tabulations, tables of summary statististcs, and tables of regression results using the updated -table- command. You will also see how you can create customized tables after you collect results from any Stata command. This means your table can include summary statistisics, results of standard hypothesis tests, regression results, and results of tests and fit statistics obtained after model fitting. With the results collected from Stata commands, you will learn how to specify a table layout---what belongs on the rows and columns---and how to customize the look of the table. You can modify labels in headers, numerical format, text alignment, cell shading, border lines, and much more. You will also learn how to export your customized tables to Word, Excel, PDF, LaTeX, HTML, Markdown, SMCL, and plain text.

  ​

• Spring 2023- Bringing Satellite Data Down to Earth with Guest Speaker (from Department of Computer Science and Engineering)

  Bringing Satellite Data Down to Earth Workshop

  with Guest Speaker (from Department of Computer Science and Engineering)

   

  [for informational purposes only]

   

  Our Guest Speaker from the Department of Computer Science and Engineering  will present a workshop in person on data analysis with satellite image:

   

  Workshop Description

  Check out this workshop to explore satellite images! We will play with general operations that data scientists will do, and then we will introduce the going on research work in handling large scaled satellite images from UCR Big-Data-Lab.