This workshop focuses on how to organize and code qualitative data in MaxQDA. The training will outline key decisions researchers must make in the coding process, as well as review how to start a new project and engage in basic tasks.
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This is an archive of our past training offerings. We are looking to include workshops on topics not yet covered here. Is there something not currently on the list? Send us a proposal.
January 17, 2018
Author:
Zawadi Rucks-Ahidiana
January 16, 2018
Author:
Josué Meléndez Rodríguez
This workshop will introduce participants to the use of qualitative data analysis (QDA) software and provide an overview of popular programs. This workshop is ideal for researchers who are new to the idea of using QDA software.
January 16, 2018
Author:
Josué Meléndez Rodríguez
This workshop offers a very basic introduction to qualitative research. First, an overview of the qualitative research process will be presented. Then, attendees will briefly explore (a) philosophical considerations regarding research, (b) qualitative methodologies and methods, and (c) ways in which technology can aid the qualitative research process.
Workshop: R FUN!damentals: Part 4
January 12, 2018
Author:
Evan Muzzall
R FUN!damentals Part 4: For-loops and Functions
Students will learn how to write for-loops and functions in R. You will learn how to personalize functions via control structures such as ‘if’ and ‘else’. These learning objectives will be exemplified through introduction to the construction and graphical representation of Monte Carlo resampling simulation.
Workshop: Python FUN!damentals: Part 4
January 12, 2018
This four-part, interactive workshop series is your complete introduction to programming Python for people with little or no previous programming experience. By the end of the series, you will be able to apply your knowledge of basic principles of programming and data manipulation to a real-world social science application.
January 12, 2018
Author:
Patty Frontiera
Objectives
Workshop: R FUN!damentals: Part 3
January 11, 2018
Author:
Evan Muzzall
R FUN!damentals Part 3: Data Exploration and Analysis
Students will be introduced to data exploration and analysis in R. You will learn how to summarize data and explore it with histograms, scatterplots, and boxplots. You will also be introduced to coding statistical data analysis via t-tests, analyses of variance, correlation, and linear regression.
January 11, 2018
Author:
Patty Frontiera
Objectives
Workshop: R FUN!damentals: Part 2
January 10, 2018
Author:
Evan Muzzall
Workshop: The Basics of Excel: Part 2
January 10, 2018
Author:
Kimberly Rubens
Workshop: Python FUN!damentals: Part 3
January 10, 2018
Author:
Chris Gagne
This four-part, interactive workshop series is your complete introduction to programming Python for people with little or no previous programming experience. By the end of the series, you will be able to apply your knowledge of basic principles of programming and data manipulation to a real-world social science application.
Part 3 Topics:
January 10, 2018
Objectives
Workshop: R FUN!damentals: Part 1
January 9, 2018
Author:
Evan Muzzall
Data are the foundations of the social and biological sciences. Familiarizing yourself with a programming language can help you better understand the roles that data play in your field. Learn to develop and train your data skills at the free D-Lab R workshops!
Workshop: Python FUN!damentals: Part 2
January 9, 2018
Author:
Soumya Gupta
This four-part, interactive workshop series is your complete introduction to programming Python for people with little or no previous programming experience. By the end of the series, you will be able to apply your knowledge of basic principles of programming and data manipulation to a real-world social science application.
Part 2 Topics:
January 9, 2018
Objectives
Workshop: Programming FUN!damentals
January 8, 2018
Author:
Evan Muzzall
An intro to the basics that instructors often assume you know, but that you probably never had good instruction on! After this course, you should be able to more easily start learning to program (e.g., in our R or Python Fundamentals series), follow instructions and documentation online (e.g., StackExchange), and communicate better with your collaborators who are programming.
Workshop: The Basics of Excel: Part 1
January 8, 2018
Author:
Kimberly Rubens
This class will cover the basics of Excel, from simple formulas (SUM, COUNTIF) to more complex Excel features like Macros and the Data Analysis ToolPak. By the end of both sections, students will be able to employ Excel skills to open source policy data sets. These skills are transferrable to any sector.
Topics Covered Will Include:
Workshop: Python FUN!damentals: Part 1
January 8, 2018
This four-part, interactive workshop series is your complete introduction to programming Python for people with little or no previous programming experience. By the end of the series, you will be able to apply your knowledge of basic principles of programming and data manipulation to a real-world social science application.
Part 1 Topics:
January 8, 2018
Objectives
Workshop: Stata FUN!damentals: Part 3
December 14, 2017
Author:
Isabelle Cohen
This three-part series will cover the following materials:
Part 1: Introduction
