October 2017
Nonresponse from the Total Survey Error Perspective: An Overview
Paul Biemer, PhD, director of the Certificate Program in Survey Methodology at the Odum Institute, will teach this course. The Total Survey Error paradigm embodies the best principles, strategies, and approaches for minimizing the survey error from all sources within time, costs and other constraints that can be imposed on the survey. This course provides an overview of the TSE paradigm as it applies to one critical source of error: nonresponse. Please contact Jill Stevens, jill_stevens@unc.edu if you have any…
Find out more »February 2018
Usability Testing in Survey Research Course
Emily Geisen, MS, survey methodologist at RTI International and Jen Romano Bergstrom, PhD, experimental psychologist and user experience research lead at Facebook and Instagram will lead a course on usability testing in survey research. This course will count toward 7.0 CPSM short course hours. It will cost $40 for CPSM students, $65 for UNC students and $90 for anyone else. Please contact Jill Stevens, jill_stevens@unc.edu, if you have any questions. This event is sponsored by the Odum Institute.
Find out more »Designing Web Surveys
Mick Couper, research professor with the University of Michigan's Program in Survey Methodology, will lead a course focused on the design of web survey instruments. The course will cover the appropriate choice and design of input tools (e.g., radio buttons, check boxes, drop boxes and text fields), including new features in HTML 5 and additional tools such as sliders. The course will also address layout and formatting of the instrument and the design implications of browser-based mobile web surveys. learn…
Find out more »March 2018
Multiple Imputation: Methods and Application
This class will be taught by Jerry Reiter, PhD, professor of statistical science at Duke University. Participants will learn how multiple imputation can solve problems in these areas, and they will gain a conceptual and practical basis for applying multiple imputation in their statistical work. Multiple imputation offers a general purpose framework for handling missing data, protecting confidential public use data, & adjusting for measurement errors. Please register here. There is a fee to take this class. Please contact Jill…
Find out more »April 2018
Designing Multi-item Scales
Robert DeVellis, PhD, adjunct professor in the Department of Health Behavior at the Gillings School will teach this course that provides an introduction to developing instruments with multiple items to measure a single construct. Examples include measures of various social and psychological variables that might be assessed in health, marketing, journalism or other research areas. Participants will be encouraged to suggest content areas for discussion. Register online. Please contact Jill Stevens, jill_stevens@unc.edu, if you have any questions. This event is…
Find out more »August 2018
Cognitive Interviewing: A Hands-On Approach
This short course will cover the basic activities involved in arranging a cognitive testing project and will focus on the specifics of how to conduct verbal probing. The course also will focus on the application and practice of cognitive interviewing techniques; it aims to provide a working familiarity with cognitive techniques so that students will be able to begin conducting cognitive interviews on their own. Gordon Willis is a questionnaire design and pretesting specialist with affiliations at the National Institutes…
Find out more »Conducting Cross Cultural Surveys – Challenges and Best Practices
Emilia Peytcheva, PhD, is a research survey methodologist with RTI International. In this course, she will provide an introduction to survey research methods for designing multinational and multicultural surveys. Examples will be drawn from demographic and social indicator surveys, attitudinal surveys, health and education surveys, and quality of life surveys. This event is sponsored by the Odum Institute. Please contact Jill Stevens, jill_stevens@unc.edu, if you have any questions.
Find out more »October 2018
Course: Mixed Methods Research
Lisa Pearce of the UNC-CH Department of Sociology will lead this two-day course, which equips students to design, conduct and critique mixed methods research. Participants will explore the strengths and weaknesses of a variety of data collection methods and evaluate strategies for combining them. Pearce will focus on mixed method research designs incorporating in-depth interviews, focus groups, participant observation, archival research, survey interviews and/or hybrid methods. This course is designed for those who are relatively new to mixed method research.…
Find out more »November 2018
Introduction to Big Data and Machine Learning
The "Introduction to Big Data and Machine Learning for Survey Researchers and Social Scientists" course explores how Big Data concepts, processes and methods can be used within the context of Survey Research. Throughout this course, the presenter will illustrate key concepts using specific survey research examples including tailored survey designs and nonresponse adjustments and evaluation. This course will be presented by Trent Buskirk, PhD, director, Center for Survey Research, and professor, Department of Management Science and Information Systems at University…
Find out more »Introduction to Survey Weighting
This course is an introduction to the basic concepts for weighting. It begins by defining the goals of weighting, including weighting as a correction for differential selection probabilities, non-response and non-coverage. It covers the process of developing weights for stratified two-stage sampling, including computing design weights and methods for nonresponse adjustments and frame coverage error adjustments. This event is sponsored by the Odum Institute. Visit the event website for more information. Please contact Jill Stevens, jill_stevens@unc.edu, if you have any…
Find out more »Introduction to Focus Groups
Focus group interviews are commonly used for survey development, content development, and qualitative data collection to capture rich information about attitudes and beliefs that affect behavior. An overview of the basics of focus groups supplemented with real examples and hands-on practice will highlight the most appropriate uses of focus groups, moderating focus groups, developing interview questions, analyzing and using results, as well as reporting findings. Please register online. This presentation will be lead by Emily Geisen, survey methodologist at RTI…
Find out more »April 2019
Intro to Multilevel Modeling Workshop
Introduction to Multilevel Modeling is a two-day workshop focused on the application and interpretation of multilevel models, also known as hierarchical linear models and mixed models, for the analysis of nested data structures. This workshop will provide an introduction to the application of multilevel models with nested data, including software implementation in SAS, SPSS and Stata. Please register online. Presenters: Dan Bauer, professor in the L.L. Thurstone Psychometric Laboratory in the Department of Psychology and Neuroscience at the University of…
Find out more »Introduction to Focus Groups Seminar
Focus group interviews are commonly used for survey development, content development and qualitative data collection to capture rich information about attitudes and beliefs that affect behavior. An overview of the basics of focus groups supplemented with real examples and hands-on practice will highlight the most appropriate uses of focus groups, moderating focus groups, developing interview questions, analyzing and using results, as well as reporting findings. Please register online. This event is sponsored by the Odum Institute. Please contact Jill Stevens…
Find out more »Data Visualization Course
The purpose of this course, "Discussion and Practical Application of Data Visualization Best Practices using Survey Data", is to present best practices for creating graphics from survey data and provide guidance for developing a critical eye that will allow attendees to best evaluate data visualizations for quality and accuracy. This course will demonstrate how good data visualization can be used to explore relationships in survey data, and produce visual displays that enhance project reports and presentations. Attendees will be able…
Find out more »September 2019
Designing and Conducting Surveys Course
This course titled, "Designing and Conducting Surveys of Businesses and Organizations," is directed towards students and individuals interested in, or who have responsibility for, obtaining information from businesses/organizations that is organizational or business-related in nature. This includes data that are typically based on or may be extracted from records, such as financial or production data, management practices, or non-identifying information about people associated with the organization. Please register online. This course will be presented by Diane K. Willimack, U.S. Census…
Find out more »October 2019
Introduction to Focus Groups
Focus group interviews are commonly used for survey development, content development, and qualitative data collection to capture rich information about attitudes and beliefs that affect behavior. An overview of the basics of focus groups supplemented with real examples and hands-on practice will highlight the most appropriate uses of focus groups, moderating focus groups, developing interview questions, analyzing and using results, as well as reporting findings. Register now. This event is sponsored by the Odum Institute. Please contact Jill Stevens with…
Find out more »Big Data and Social Science Seminar
This Odum Institute course covers: Background to Research Questions and Inference in the Social Sciences, Data Capture and Curation, Modelling and Analysis, Information Visualization and Privacy and Ethics. Speaker Frauke Kreuter is Professor in the Joint Program in Survey Methodology at the University of Maryland, Professor of Methods and Statistics at the University of Mannheim, and head of the statistical methods group at the German Institute for Employment Research in Nuremberg. Please contact Jill Stevens with any questions.
Find out more »November 2019
Data Collection Using Mobile Phones in Developing Countries
This course will introduce students to the design & implementation of SMS, IVR, Web, and CATI surveys in low- and middle-income countries. The instructors will draw from real world examples to illustrate how these modes work. We will also discuss basic survey design principles in each mode, focusing on sampling, questionnaire development, & survey design. Students will work in small groups to design questionnaires & collect data in real time via SMS and IVR using a free, open source survey…
Find out more »Introduction to Qualtrics
This is a hands-on introductory workshop. Participants will create a basic survey, add display and skip logic, and use content validation, piped text and embedded data. This course is only open to UNC Students, faculty and staff with active UNC Qualtrics accounts who are registered with DUO through ITS. Please see event website for more information.
Find out more »January 2020
Introduction to Qualtrics
This is a hands-on introductory workshop. Participants will create a basic survey, add display and skip logic, and use content validation, piped text, and embedded data. We will create a contact list for distributing survey invitations, and overview the elements of Survey Flow. We will create “chained” surveys to collect personal information from participants that is stored separately from survey responses for distributing survey incentives. The course will not cover analysis or reporting. Registration required.
Find out more »Academic Publishing 101: From Idea to Article….and Beyond
Although graduate school teaches you many things, many Ph.D. students complete their dissertations having never been fully trained in academic publishing. How does academic publishing actually work? Where should you publish your research? How do you actually get papers accepted in strong academic journals? In this talk, we will discuss several major ideas in academic publishing (focusing on the social sciences). Registration required.
Find out more »Introduction to Focus Groups
Focus group interviews are commonly used for survey development, content development, and qualitative data collection to capture rich information about attitudes and beliefs that affect behavior. An overview of the basics of focus groups supplemented with real examples and hands-on practice will highlight the most appropriate uses of focus groups, moderating focus groups, developing interview questions, analyzing and using results, as well as reporting findings. Registration required.
Find out more »Stata Course
This is a 3-part short course (held over three afternoons – 1/27, 1/28, 1/30). Stata part 1 will offer an introduction to Stata basics. Part 2 will teach entering data in Stata, working with Stata do files, and will show how to append, sort and merge data sets. Part 3 will cover how to perform basic statistical procedures and regression models in Stata. No registration required. Attendees should bring a flash drive to class. See course URL for handout links.
Find out more »Mixed Methods Workshop
This 2-day (1/29 & 1/31) course equips students to design, conduct, and critique mixed-method research. From a pragmatic perspective, we will explore the strengths and weaknesses of a variety of data collection methods, and evaluate strategies for combining them. We will focus on mixed-method research designs incorporating in-depth interviews, focus groups, participant observation, archival research, survey interviews, and/or hybrid methods. More information
Find out more »February 2020
SPSS Training
This 3-day (2/3, 2/5, and 2/6) course will offer an introduction to SPSS and will demonstrate how to work with data saved in SPSS format. It will demonstrate how to work with SPSS syntax, how to create your own SPSS data files, and how to convert data in other formats to SPSS. It will also teach how to append and merge SPSS files, demonstrate basic analytical procedures, and show how to work with SPSS graphics. No registration required. Attendees should…
Find out more »Usability Testing in Survey Research
Usability testing allows in-depth evaluation of how respondents and interviewers interact with questionnaires, particularly web and mobile surveys. Not all design guidelines work equally well for all surveys and all survey populations. Capabilities of computerized surveys are constantly emerging. It is critical for researchers to have the necessary tools to evaluate, test, and modify surveys to incorporate user-centered design in an iterative method as part of the survey pretesting process. More information
Find out more »Text Analysis Using R
Text analysis is a promising new approach that uses machine learning to discover patterns, trends, and other information by using text as data. Participants will develop the skills and understanding necessary to collect text data from a variety of sources, including websites and APIs. Participants will gain practical skills for completing their own analyses using text as data. Basic to intermediate knowledge of programming in R is required; no background in statistics is necessary. More information
Find out more »Logisitic Regression
This short course provides an introduction to logistic regression. Model specification, identification, estimation, hypothesis-testing, and interpretation of results are covered. Software to estimate these models is discussed, but not demonstrated. This is not a course on software, but rather a course on the concepts and uses of logistic regression. No registration required. More information
Find out more »Designing Web Surveys
The focus of this course is on the design of web survey instruments, appropriate choice and design of input tools, address layout and formatting of the instrument, including alignment of questions and response options, typeface, background color, the design of grids or matrix questions, as well as the design implications of browser-based mobile web surveys. The course will not address the technical aspects of web survey implementation, question-wording, sampling or recruitment issues. More information
Find out more »March 2020
Advanced Topics in Qualtrics
This training will cover advanced features in building surveys in Qualtrics. Participants must already have a university Qualtrics account and solid working knowledge of Qualtrics. Some portions will be hands-on; others will be demonstration only. Please see course URL for topics to be covered.
Find out more »August 2020
SAS
This is a four-part course that will be taught in-person. This course is free, but you must register to secure your spot in the course. Students MUST bring a laptop to class with SAS software loaded or to be able to access the virtual lab. The classroom will not have computers available.
Find out more »September 2021
Introduction to Multi-Level Modeling
Introduction to Multilevel Modeling is a two-day workshop focused on the application and interpretation of multilevel models, also known as hierarchical linear models and mixed models, for the analysis of nested data structures. Nesting can arise from hierarchical data structures, longitudinal data structures or both. In this workshop, we provide an introduction to the application of multilevel models with nested data, including software implementation in SAS, SPSS and Stata. Registration required.
Find out more »October 2021
SAS Course
This is a four-part course that will give an introduction to the SAS software. Attendees must bring a laptop to this course with SAS (free 14-day trial of SAS software available from programmer) already loaded. SAS software will not be provided. If you are part of the UNC community, you can access SAS on the virtual lab. Registration required.
Find out more »SAS Course
This is a four-part course that will give an introduction to the SAS software. Attendees must bring a laptop to this course with SAS (free 14-day trial of SAS software available from programmer) already loaded. SAS software will not be provided. If you are part of the UNC community, you can access SAS on the virtual lab. Registration required.
Find out more »SAS Course
This is a four-part course that will give an introduction to the SAS software. Attendees must bring a laptop to this course with SAS (free 14-day trial of SAS software available from programmer) already loaded. SAS software will not be provided. If you are part of the UNC community, you can access SAS on the virtual lab. Registration required.
Find out more »SAS Course
This is a four-part course that will give an introduction to the SAS software. Attendees must bring a laptop to this course with SAS (free 14-day trial of SAS software available from programmer) already loaded. SAS software will not be provided. If you are part of the UNC community, you can access SAS on the virtual lab. Registration required.
Find out more »March 2022
Issues Surrounding Missing Data
In this course, participants will discuss methods commonly used to deal with missing data. Assumptions, assets and disadvantages associated with each method will be covered. This one day course will be offered IN-PERSON in Davis Library Room 219. No virtual option will be offered. Learn more and register.
Find out more »April 2022
Introduction to Mission Planning, Data Analysis and Creating Maps with Drones
This course introduces the workflow from mission planning to create maps to importing those maps into a GIS environment. Attendees will be introduced to: mission planning, including safety and FAA compliance; creating automated flights for data capture; spending time working with software to process and analyze images collected from drones; and creating maps. Commonly used tools and resources will be shared! Registration required.
Find out more »August 2022
Academic Publishing 101: From Idea to Article…and Beyond
How does academic publishing actually work? Where should you publish your research? How do you actually get papers accepted in strong academic journals? We will discuss several major ideas in academic publishing (focusing on the social sciences). We will discuss professional integrity and ethics, the role of academic conversations and communities as a guide for publication forums and journal selections, the mechanics of publishing in journals and other forums, the peer review process, etc. Learn more and register.
Find out more »September 2022
Introduction to Multi-Level Modeling
This two-day (9/13 and 9/15) course is focused on the application and interpretation of multilevel models, also known as hierarchical linear models and mixed models, for the analysis of nested data structures. Nesting can arise from hierarchical data structures, longitudinal data structures, or both. In this workshop, we provide an introduction to the application of multilevel models with nested data, including software implementation in SAS, SPSS and Stata. Learn more and register.
Find out more »Introduction to Multi-Level Modeling
This two-day (9/13 and 9/15) course is focused on the application and interpretation of multilevel models, also known as hierarchical linear models and mixed models, for the analysis of nested data structures. Nesting can arise from hierarchical data structures, longitudinal data structures, or both. In this workshop, we provide an introduction to the application of multilevel models with nested data, including software implementation in SAS, SPSS and Stata. Learn more and register.
Find out more »October 2022
Introduction to Structural Equation Modeling (SEM) with Stata
This in-person course will be offered over 3 afternoons (10/17/22, 10/19/22, and 10/21/22), 2 hours per day. This course introduces Structural equation modeling (SEM) with Stata software. The class will focus on models for continuous variables and discuss options to analyze models with categorical variables. Students must know how to model and interpret correlations and ordinary least square (OLS) regressions and know how to use the basic Stata functions. Learn more and register.
Find out more »Introduction to Structural Equation Modeling (SEM) with Stata
This in-person course will be offered over 3 afternoons (10/17/22, 10/19/22, and 10/21/22), 2 hours per day. This course introduces Structural equation modeling (SEM) with Stata software. The class will focus on models for continuous variables and discuss options to analyze models with categorical variables. Students must know how to model and interpret correlations and ordinary least square (OLS) regressions and know how to use the basic Stata functions. Learn more and register.
Find out more »Introduction to Structural Equation Modeling (SEM) with Stata
This in-person course will be offered over 3 afternoons (10/17/22, 10/19/22, and 10/21/22), 2 hours per day. This course introduces Structural equation modeling (SEM) with Stata software. The class will focus on models for continuous variables and discuss options to analyze models with categorical variables. Students must know how to model and interpret correlations and ordinary least square (OLS) regressions and know how to use the basic Stata functions. Learn more and register.
Find out more »