Education

Course Schedule

Qualitative Analysis

ICSPR - Qualitative Research Methods

Paul Mihas
This workshop presents strategies for analyzing and making sense of qualitative data. Both descriptive and interpretive qualitative studies will be discussed, as will more defined qualitative approaches such as grounded theory, narrative analysis, and case study. The course will briefly cover research design and data collection but will largely focus on analysis. In particular, we will consider how researchers develop codes and integrate memo writing into a larger analytic process. The purpose of coding is to provide a focus to qualitative analysis; it is critical to have a handle on your coding practices as you move deeper into analysis. The course will present coding and memo writing as concurrent tasks that occur during an active review of interviews, documents, focus groups, and/or multi-media data. We will discuss deductive and inductive coding and how a codebook evolves, that is, how codes might emerge and shift during analysis. Managing codes includes developing code hierarchies, identifying code ?constellations,? and building multidimensional themes. The class will present memo writing as a strategy for capturing analytical thinking, inscribed meaning, and cumulative evidence for emerging meaning. Memos can also resemble early writing for reports, articles, chapters, and other forms of presentation. Researchers can also mine memos for codes and use memos to build evocative themes and theory. Coding and memo writing are discussed in the context of data-driven qualitative research beginning with design and moving toward presentation of findings. One module of the course will be devoted to learning a qualitative analysis software package, ATLAS.ti. The methods discussed in the course will be applicable to qualitative studies in a range of fields, including the behavioral sciences, social sciences, health sciences, and business.

Fee: Members = $1500; Non-members = $2800

For registration details, click here.

Davis 3010
Dates: August 3-5, 2016

Times: 9:00am - 4:30pm

Quantitative Analysis

ICPSR - Analyzing Social Networks: An Introduction

Doug Steinley
Network analysis focuses on relationships between or among social entities. It is used widely in the social and behavioral sciences, as well as in political science, economics, organizational studies, behavioral biology, and industrial engineering. The social network perspective, which will be taught in this workshop, has been developed over the last sixty years by researchers in psychology, sociology, and anthropology. The social network paradigm is gaining recognition in the social and behavioral sciences as the theoretical basis for examining social structures. This basis has been clearly defined and the paradigm convincingly applied to important substantive problems. However, the paradigm requires concepts and analytic tools beyond those provided by standard quantitative (particularly, statistical) methods. This five day workshop covers those concepts and tools. The course will present an introduction to concepts, methods, and applications of social network analysis drawn from the social and behavioral sciences. The primary focus of these methods is the analysis of relational data measured on groups of social actors. Topics include an introduction to graph theory and the use of directed graphs to study actor interrelations; structural and locational properties of actors, such as centrality, prestige, and prominence; subgroups and cliques; equivalence of actors, including structural equivalence, blockmodels, and an introduction to relational algebras; an introduction to local analyses, including dyadic and triadic analyses; and an introduction to statistical analyses, using models such as p1 and exponential random graph models. The workshop will use several common software packages for network analysis: UCINET, Pajek, NetDraw, and STOCNET

Fee: Members = $1700; Non-members = $3200

For registration details, click here.

Davis 3010
Dates: August 8-12, 2016

Times: 9:00am - 4:30pm

Introduction to Structural Equation Models (SEM)

Marie E. Camerota
TBA
Davis 219
Dates: Monday, September 19, and Wednesday, September 21, 2016

Times: 10:00am - 12:00 pm

Spatial Analysis & Mapping

ArcGIS I: Introduction to GIS

Philip McDaniel

This hands-on course will provide an overview of ArcGIS software to beginners. Data resources from the UNC Libraries will be introduced, and the core functionality of the software will be demonstrated and explored with hands-on exercises.

Prerequisites: None

No registration required. UNC students, faculty, and staff will need to show their UNC OneCard.

This Research Hub short course is offered through a partnership between the Odum Institute for Research in Social Sciences and the University Library.

Davis 247
Date: September 9, 2016

Times: 11:00am - 12:30pm

ArcGIS II: Introduction to GIS Functions

Philip McDaniel

This hands-on short course will build upon the introductory ArcGIS course that we’ve offered over the past several semesters. Exercises will focus on a variety of the tools and functionality of ArcMap, including importing, geocoding, joining, and manipulating data within ArcMap.

Prerequisites: This course presumes at least beginner experience in using ArcGIS, so attendees should have some prior experience.

No registration required. UNC students, faculty, and staff will need to show their UNC OneCard.

This Research Hub short course is offered through a partnership between the Odum Institute for Research in Social Sciences and the University Library.

Davis 247
Date: September 16, 2016

Times: 11:00am - 12:30pm

Mapping Census Data in ArcGIS

Philip McDaniel

This hands-on short course will introduce a variety of sources for U.S. Census data, and highlight the pros and cons of each. Exercises will focus on importing, manipulating, and displaying Census data within ArcMap. A brief overview of the U.S. Census will be provided.

Prerequisites: No prior experience in working with Census data is required, though some familiarity will be helpful. This course presumes either beginner or intermediate experience in using ArcGIS, so attendees should have some prior experience.

No registration required. UNC students, faculty, and staff will need to show their UNC OneCard.

This Research Hub short course is offered through a partnership between the Odum Institute for Research in Social Sciences and the University Library.

Davis 247
Date: September 23, 2016

Times: 11:00am - 12:30pm

Introduction to the QGIS Open Source Software: Part 1

Scott Madry

This will be the first of two, 2-hour hands-on workshops using the QGIS open source GIS package. This first workshop will begin with an overall introduction to the “OSGEO Stack” of open source GIS tools, including QGIS, GRASS, R and other tools. Then we will explore the QGIS software, which can run on Windows, Mac or Linux environments, runs in over 40 languages, and includes vector, raster, georegistration, and other capabilities, all using ESRI shapefiles as the basic vector data structure and Geotiffs as the basic raster data structure. The first workshop will be a general introduction to the QGIS user interface and will explore the various elementary functions, loading vector and raster data, etc. Additional tutorials and data will be made available to the participants so you can continue to work on your own. Feel free to bring your own laptop so you can download the software, tutorials, and data, or use a computer in the lab.

There is no fee for this course.


No registration required. UNC students, faculty, and staff will need to show their UNC OneCard.


Davis 247
Date: October 24, 2016

TImes: 10:00am - 12:00pm

Introduction to the QGIS Open Source Software: Part 2

Scott Madry

The second class will continue the introduction to the QGIS software. We will explore various plugins, including live linking OpenStreetMaps and Bing maps and images, creating cartographic maps using the composer cartographic interface, working with vector attribute tables, and downloading and working with raster satellite imagery. Web resources will be explored. Additional tutorials and data will be made available to the participants so you can continue to work on your own. Feel free to bring your own laptop so you can download the software, tutorials, and data, or use a computer in the lab.A

There is no fee for this course.


No registration required. UNC students, faculty, and staff will need to show their UNC OneCard.


Davis 247
Date: October 26, 2016

Times: 10:00am - 12:00pm

Introduction to the GRASS Open Source GIS and image processing software

Scott Madry

This third 2-hour workshop will cover the GRASS GIS package, which is included in the QGIS download and can be used either as a set of integrated tools in the QGIS environment, or run as the stand-alone GRASS package. GRASS is the original open source GIS package, and is a very powerful and integrated GIS, image processing, spatial analysis, visualization and modeling environment. The first hour of the workshop will use GRASS within the QGIS environment, where data can be used as GRASS files in the same environment as QGIS shapefiles, and can be converted easily between the two. The current QGIS software can now call all of the GRASS functions (over 400) remotely and does raster and vector data format conversion on the fly. In the second hour we will use GRASS in its stand-alone configuration. Additional tutorials and data will be made available to the participants so you can continue to work on your own. Feel free to bring your own laptop so you can download the software, tutorials, and data, or use a computer in the lab.

There is no fee for this course.


No registration required. UNC students, faculty, and staff will need to show their UNC OneCard.


Davis 247
Date: October 28, 2016

Times: 10:00am - 12:00pm

Applied Spatial Regression Analysis

Paul Voss

This short course provides an introduction to the field of spatial regression modeling. When analyzing data aggregated to geographic areas (e.g., census data for counties), a fresh set of issues arise that are not present in traditional non-spatial data analyses. These issues need to be recognized and accounted for when properly specifying regression models using attributes that are linked to geographic location. The topics covered in two afternoon sessions include:
• Why standard regression models generally fail when analyzing spatial data
• Defining and understanding “spatial autocorrelation”
• Causes of spatial autocorrelation
• Measuring & operationalizing spatial effects
• Defining spatial “neighborhoods”
• Creating spatial weights matrices
• Moran’s I statistic
• Incorporating spatial effects in spatial regression models
• Specification & estimation of spatial regression models
• Spatial regression model diagnostics
• (Time permitting: some interesting extensions to related topics)

Examples of estimating spatial regression models will use the open source software suite R (no prior knowledge of R is necessary)

Registration Fees:

  • UNC-CH Students - $40
  • All Others - $90
    Registration will open 60 days prior to class.

    * Cancellation/ Refund Policy: A full refund will be given to those who cancel their registration no later than 10 days prior to the course. If you cancel within the 10 days prior to the class, no refund will be given. Please allow 30 days to receive your refund.
    * Waitlist/ Walk-ins: There may be a waitlist for the courses. Walk-ins will not be accepted. Each attendee must register and pay prior to 3 days before the start of the course.

    Davis 219
    Dates: November 7 & 9, 2016

    Times: 1:30pm - 4:00pm

    Web Mapping

    Phil McDaniel

    You do not need to be a GIS expert or a web programmer to make great-looking, informative web maps. This workshop will highlight the GIS Librarians’ favorite web mapping tools.

    Cartodb is a user-friendly online mapping tool that reads many data formats and has wizards for creating quick maps that can be embedded into websites. It also gives users control over the look and feel of their maps.

    ArcGIS Online is a web mapping tool and an online component to ArcGIS. It is very easy to use and utilizes an impressive library of base maps and data to help you create beautiful maps that can be added to websites.

    This Research Hub short course is offered through a partnership between the Odum Institute for Research in Social Sciences and the University Library.

    Davis 247
    Date: November 8, 2016

    Times: 2:00pm - 3:30pm

    Survey Research

    Introduction to Focus Groups

    Emily Geisen

    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 Fees:

  • CPSM Students - $30
  • UNC Students - $45
  • Other - $60

    To Register, click here

    This course will count as 7.0 CPSM short course credit hours.

    * Cancellation/ Refund Policy: A full refund will be given to those who cancel their registration no later than 10 days prior to the course. If you cancel within the 10 days prior to the class, no refund will be given. Please allow 30 days to receive your refund.
    * Waitlist/ Walk-ins: There may be a waitlist for the courses. Walk-ins will not be accepted. Each attendee must register and pay prior to 3 days before the start of the course.

    Davis 219
    Date: September 8, 2016

    Times: 9:00am - 4:30pm

    Executing Your Survey Research Project

    Teresa Edwards

    This workshop series will provide guidance to participants conducting survey research for their dissertation, thesis, or other project. Each week the workshop will focus on a topic and provide instruction, group discussion and an opportunity for participants to complete a worksheet or review handouts. The worksheets and handouts are tangible products that will help guide participants to execute their survey research. The series will provide information that can be applied to web or paper surveys. There are no prerequisites to this workshop series and participants are encouraged to bring any materials they have already developed for their project.

    Workshop 1, Sept. 14: Creating a Timeline for Success and a Data Analysis Plan
    A comprehensive timeline helps the researcher set short and long-term goals to keep the project on track. The data analysis plan drives key decisions in survey design and implementation and should be developed at the beginning of the project. In this session participants will learn about important elements of these items and draft, review, and/or receive feedback on their own timeline and data analysis plan.

    Workshop 2, Sept. 21: Participant Engagement and Data Management Plans
    This session focuses on ways to engage your participants to yield higher response rates and procedures to collect and manage survey data. How do the words and materials you use to recruit respondents affect cooperation rate and data quality? What options are available to recruit participants? What are the pros and cons of different contact and data collection modes (e.g. email, postal letter, phone calls, text messages. How will you store and manage your data once they are collected? In this session participants will draft, review, and/or receive feedback on their data collection protocol and data management plan.

    Workshop 3, Sept. 28: Questionnaire Development
    Good question development is the heart of a quality survey. We will review principles for question development, what should be considered when moving from a paper to a web survey, and tips for using previously designed scales. Participants will draft, review, and/or receive feedback on their survey questions.

    Workshop 4, Oct. 5: Qualtrics Overview
    Qualtrics is an online survey software program available free of charge to UNC students, faculty, and staff. A free trial version is available to the public. This session covers programming surveys, assigning variable names and code numbers, distributing survey invitations and reminders, and exporting data for analysis. Participants will also receive an overview of advanced Qualtrics functionalities.

    Workshop 5, Oct. 12: Paper Surveys and Testing Surveys (web and paper)
    There is more to designing an effective paper survey than typing up your questions and selecting ‘Print.’ This session provides a brief tutorial on designing and distributing paper surveys, followed by discussion of the important steps of testing surveys. We will review testing methods including cognitive interviewing, usability testing, observation, data review, and piloting. Participants will draft, review, and/or receive feedback on their plans for testing their surveys.

    Workshop 6, Oct. 19: Institutional Review Board and Protecting Human Subjects
    Most survey research in an academic setting requires approval from an Institutional Review Board (IRB) whose purpose is to protect the rights and well-being of research subjects. This session quickly reviews the purpose and function of an IRB and the UNC ethics training requirements for researchers before turning to the nuts and bolts of completing the UNC IRB Application for a survey project. Participants will receive detailed guidance on completing their own IRB application in ways that maximize efficiency and minimize processing delays.

    Workshop 7, Oct. 26: Preparing Data for Analysis and Archiving
    This session focuses on data cleaning, preparation for analysis and archiving survey data for long-term preservation. Participants will learn how to keep a log for data that need to be cleaned, how to prepare data for commonly used analysis packages, and options for archiving data.

    If you have any questions, please contact Teresa Edwards at teresa_edwards@unc.edu

    Registration Fees:

  • UNC Students (Paid by personal funds - no reimbursement): $85
  • UNC Students (Paid by dept, center, grant, or other UNC funds): $250
  • UNC Fellows, Postdocs, Faculty, Staff: $250
  • Non-UNC: $350

    To Register, click here

    * Cancellation/ Refund Policy: A full refund will be given to those who cancel their registration no later than 10 days prior to the course. If you cancel within the 10 days prior to the class, no refund will be given. Please allow 30 days to receive your refund.


    Davis 219
    Dates: Sept. 14, 21, 28, Oct. 5, 12, 19, & 26, 2016

    Times: 2:00pm - 4:00pm

    Designing Web Surveys

    Mick Couper
    The focus of this course is on the design of Web survey instruments. The course will focus on the appropriate choice and design of input tools (e.g., radio buttons, check boxes, drop boxes, 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, including alignment of questions and response options, typeface, background color, and the design of grids or matrix questions. The design implications of browser-based mobile Web surveys will also be addressed. The course will draw on empirical results from experiments on alternative design approaches as well as on practical experience in the design and implementation of Web surveys. The course will not address the technical aspects of Web survey implementation (such as hardware, software, or programming) and will also not focus on question wording, sampling, or recruitment issues. The course will equip participants with the knowledge needed to make appropriate Web survey instrument design choices.

    The Instructor: Dr. Mick P. Couper, from the University of Michigan and the Joint Program in Survey Methodology, is the leading authority on web survey design in the U.S. He is the author of Designing Effective Web Surveys (Cambridge, 2008), and co-author (with Roger Tourangeau and Frederick Conrad) of The Science of Web Surveys (Oxford, 2013), and has done extensive research on web survey design and implementation.

    Registration Fees:

  • CPSM Students - $30
  • UNC Students - $45
  • Other - $60

    This course will count as 7.0 short course credit hours.

    To Register, click here

    * Cancellation/ Refund Policy: A full refund will be given to those who cancel their registration no later than 10 days prior to the course. If you cancel within the 10 days prior to the class, no refund will be given. Please allow 30 days to receive your refund.
    * Waitlist/ Walk-ins: There may be a waitlist for the courses. Walk-ins will not be accepted. Each attendee must register and pay prior to 3 days before the start of the course.

    Davis 219
    Date: September 22, 2016

    Times: 9:00am - 4:30pm

    An Overview of Topics in "Big Data": Unpacking Data Science for Beginners

    Cliff Lampe

    This course is a one-day introduction to “Big Data” as method of conducting research. The course will cover a range of issues, including: • Characteristics of data that is collected through these techniques. For example, when is scale of data important, vs. the nonreactive nature of the data. • Common methods for obtaining datasets for “Big Data” • Epistemological approaches for using data, including the inductive nature of many data analytic techniques. • Comparison of data analytic techniques with other forms of research. • Exploration of a variety of tools that are commonly used in Big Data research. • Common analytical techniques in data science. People who take this course will be able to define the pros and cons of data science as a research method, understand common terms related to Big Data techniques, and identify research questions that are appropriate to these techniques. It’s impossible to give a very technical training in a one day class, so while we’ll cover where one can go to learn more, this class will not delve deeply into technical aspects of big data. Given the nature of the instructor’s research, the class will focus on data mined from social media sites, which is one of the most common sources for data analytic approaches. Any person with a solid background in research methods will benefit from this course.


    Instructor:

    Cliff Lampe is an Associate Professor in the School of Information at the University of Michigan. His work is on the effects of social media use by individuals, groups and organizations with a focus on positive outcomes. He publishes in the the fields of Human Computer Interaction, and Communication Science. In his research, Dr. Lampe has examined interaction on multiple social media platforms, and has frequently used “big data” techniques to study interactions on those platforms. With a background of research at the Institute of Social Research at Michigan, Dr. Lampe has also been recently collaborating on a series of projects that look at the comparison of data analytic techniques and survey measurement in terms of a variety of research goals.

    This course will count as 7.0 CPSM short course credit hours.

    Registration Fees:

  • CPSM Students - $30
  • UNC Students - $45
  • Other - $60

    Registration will open 60 days prior to the class date.


    * Cancellation/ Refund Policy: A full refund will be given to those who cancel their registration no later than 10 days prior to the course. If you cancel within the 10 days prior to the class, no refund will be given. Please allow 30 days to receive your refund.
    * Waitlist/ Walk-ins: There may be a waitlist for the courses. Walk-ins will not be accepted. Each attendee must register and pay prior to 3 days before the start of the course.

    Davis 219
    Date: October 6, 2016

    Times: 9:00am - 4:30pm

    Introduction to Cognitive Interviewing

    Teresa Edwards
    This course will provide an overview of cognitive interviewing as a technique for developing and/or testing survey questions. We will briefly discuss participant recruitment and other planning details before turning to development of an interview guide, discussion of think-aloud and probing techniques, selection of probes, trade-offs of concurrent vs. retrospective probing, and how to choose the best techniques for particular situations. We will use demonstrations and exercises to give participants experience using the technique.

    Registration Fees:

  • CPSM Students - $20
  • UNC Students - $35
  • Other - $40
    This course will count as 4.0 short course credit hours.

    Registration will open 60 days prior to class.

    * Cancellation/ Refund Policy: A full refund will be given to those who cancel their registration no later than 10 days prior to the course. If you cancel within the 10 days prior to the class, no refund will be given. Please allow 30 days to receive your refund.
    * Waitlist/ Walk-ins: There may be a waitlist for the courses. Walk-ins will not be accepted. Each attendee must register and pay prior to 3 days before the start of the course.

    Davis 219
    Date: October 25, 2016

    Times: 9:00am - 1:00pm

    New Technologies in Surveys

    Michael Link
    Rapid advancements in communications and database technologies are changing the societal landscape across which public opinion and survey researchers operate. In particular, the ways in which people both access and share information about attitudes, opinions, and behaviors have gone through perhaps a greater transformation in the last decade than in any previous point in history and this trend appears likely to continue. This course examines some of the research findings to date with respect to the use of mobile and social media platforms as vehicles for collecting information on attitudes, opinions and behaviors. For each area, we will explore current applications, known best practices, and cautions, including smartphones (for surveys, GPS, and visual data collection) and social network platforms (surveys and other forms of information). Examples will be provided from several topic areas, including assessment of political attitudes, health-related studies, and consumer research. The final section of the course delineates some of the more fruitful areas for on-going research to improve our understanding of these technologies and the role they can play in assessing public opinion.

    Registration Fees:

  • CPSM Students - $30
  • UNC Students - $45
  • Other - $60

    This course will count as 7.0 CPSM short course credit hours.

    Registration will open 60 days prior to the class date.

    * Cancellation/ Refund Policy: A full refund will be given to those who cancel their registration no later than 10 days prior to the course. If you cancel within the 10 days prior to the class, no refund will be given. Please allow 30 days to receive your refund.
    * Waitlist/ Walk-ins: There may be a waitlist for the courses. Walk-ins will not be accepted. Each attendee must register and pay prior to 3 days before the start of the course.

    Davis 219
    Date: November 10, 2016

    Times: 9:00am - 4:30pm

    Data Collection Using Mobile Phones in Developing Countries: New Approaches with SMS, IVR, and CATI

    Charles Lau

    The rapid growth of mobile phones in developing countries opens up new possibilities for data collection. Short message service (SMS), interactive voice response (IVR), and computer-assisted telephone interviewing (CATI) can produce data faster and less expensively than face-to-face surveys. This course will introduce students to the design and implementation of SMS, IVR, and CATI surveys in low income countries. Dr. Lau 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 and questionnaire design. Third, Dr. Lau will review issues related to implementation - e.g., quality assurance, monitoring sample, and cost. By the end of the course, students will understand each mode operates, as well as the advantages and disadvantages of each mode.

    There are no prerequisites for this course, but basic familiarity with survey research in developing countries is helpful.


    The Instructor: Charles Lau designs and implements surveys in low- and middle-income countries. He directs projects through the survey cycle, including study design, questionnaire development, sampling, interviewer training, data collection, analysis, and reporting. Dr. Lau has led surveys in 17 countries in Africa, Asia, and Latin America. In these countries, he has used different modes of data collection, including face-to-face interviewing with tablets, telephone, web, and short message service (SMS). With funding from governments, foundations, and commercial clients, his work has covered various topics including health, education, politics, and technology. He also publishes research on cross-cultural issues in survey design, interviewer and mode effects, and sampling approaches in developing countries. Dr. Lau joined RTI in 2010. He teaches International Survey Methods at North Carolina State University.

    This course will count as 2.0 CPSM short course credit hours.

    Registration will open 60 days prior to the class date. There will be no registration fee but slots are limited.

    * Waitlist/ Walk-ins: There may be a waitlist for the courses. Walk-ins will not be accepted. Each attendee must register prior to 3 days before the start of the course.

    Davis 219
    Date: November 16, 2016

    Times: 1:00pm - 3:00pm

    Weighting Survey Data

    Paul Biemer
    This course is an introduction to the basic concepts for weighting survey data. It begins by defining the goals of weighting including weighting as a correction for differential selection probabilities, non-response and non-coverage. The course 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. Additional topics may include the effect of weighting on variance of the estimates and extreme weights.

    INSTRUCTOR
    Paul P. Biemer is Distinguished Fellow, Statistics, at RTI International and Associate Director for Survey Research and Development for the Odum Institute at the University of North Carolina at Chapel Hill. He received his Ph.D. in Statistics from Texas A&M University and has taught at the University of Maryland (Joint Program in Survey Methodology), University of Michigan (Summer Institute) and George Washington University (Statistics Department). He was formerly Head of the Department of Experimental Statistics and Director of the Statistics Center at New Mexico State University and has also worked for the Bureau of the Census where he was Assistant Director for Statistical Research. His research has examined the relationships between survey design and survey error, statistical methods for assessing survey errors, particularly measurement errors and methods for the analysis of survey data. His articles have been published in numerous scholarly journals. His book, Introduction to Survey Quality, and several edited volumes including Measurement Errors in Surveys, have been published by John Wiley & Sons.

    Registration Fees:

  • CPSM Students - $20
  • UNC Students - $35
  • Other - $40
    This course will count as 4.0 short course credit hours.

    Registration will open 60 days prior to class.

    * Cancellation/ Refund Policy: A full refund will be given to those who cancel their registration no later than 10 days prior to the course. If you cancel within the 10 days prior to the class, no refund will be given. Please allow 30 days to receive your refund.
    * Waitlist/ Walk-ins: There may be a waitlist for the courses. Walk-ins will not be accepted. Each attendee must register and pay prior to 3 days before the start of the course.

    Davis 219
    Date: November 17, 2016

    Times: 9:00am - 1:00pm

    Statistical Computing

    Stata

    Kelsey Shoub

    This is a 3-part short course (held over three mornings). 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. UNC students, faculty, and staff will need to show their UNC OneCard.

    *Link to Course Outline to be added later*
    Davis 219
    Dates: September 12, 14, and 16, 2016

    Times: 9:00am - 11:00am

    SAS

    Chris Wiesen

    This is a four-part course. SAS part 1 of 4 will give an introduction to the SAS system and SAS windows. Topics to be covered include: creating and saving SAS programs; reading in data from simple and complex text data sets; typing variables; obtaining frequencies, contents, and univariate statistics. SAS part 2 of 4 will discuss formatting variable values; creating SAS libraries for storing and retrieving SAS data sets and format files; reading raw data from external files; creating new SAS data sets from existing SAS data sets, subsetting by observation and by variable. SAS part 3 of 4 will explain how to create new SAS data sets combining information from multiple existing SAS datasets; how to sort, concatenate, interleave, and merge data sets; how to perform the t-test, and test for no association in a contingency table. For SAS part 4 of 4, attendants will be allowed to suggest topics. Past topics include variable retyping, creating SAS datasets from SAS output; creating html and Microsoft Word tables, ANOVA, importing and exporting Excel files.

    Students should bring a flashdrive to class.

    No registration required. UNC students, faculty, and staff will need to show their UNC OneCard.

    This class always fills so be sure to arrive before the class start time. There are only 21 seats with computers, but a limited number of those who have laptops with SAS loaded will be allowed to sit in.


    Davis 3010
    Dates: September 12 - 15, 2016

    Times: 11:00am - 1:00pm

    SPSS

    Heidi Vuletich

    Part 1 of the course will offer an introduction to SPSS and teach how to work with data saved in SPSS format. Part 2 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. Part 3 will teach how to append and merge SPSS files, demonstrate basic analytical procedures, and show how to work with SPSS graphics. Please bring a flashdrive to class.

    No registration required. UNC students, faculty, and staff will need to show their UNC OneCard.

    Click here for course handouts: Handout 1 ; Handout 2 ;Handout 3


    Davis 219
    Dates: September 26, 28, 30, 2016

    Times: 4:00pm - 5:30pm

    SAS

    Chris Wiesen

    This is a four-part course. SAS part 1 of 4 will give an introduction to the SAS system and SAS windows. Topics to be covered include: creating and saving SAS programs; reading in data from simple and complex text data sets; typing variables; obtaining frequencies, contents, and univariate statistics. SAS part 2 of 4 will discuss formatting variable values; creating SAS libraries for storing and retrieving SAS data sets and format files; reading raw data from external files; creating new SAS data sets from existing SAS data sets, subsetting by observation and by variable. SAS part 3 of 4 will explain how to create new SAS data sets combining information from multiple existing SAS datasets; how to sort, concatenate, interleave, and merge data sets; how to perform the t-test, and test for no association in a contingency table. For SAS part 4 of 4, attendants will be allowed to suggest topics. Past topics include variable retyping, creating SAS datasets from SAS output; creating html and Microsoft Word tables, ANOVA, importing and exporting Excel files.

    Students should bring a flashdrive to class.

    No registration required. UNC students, faculty, and staff will need to show their UNC OneCard.

    This class always fills so be sure to arrive before the class start time. There are only 21 seats with computers, but a limited number of those who have laptops with SAS loaded will be allowed to sit in.


    Davis 3010
    Dates: October 31 - November 3, 2016

    Times: 3:00pm - 5:00pm

    Other

    Introduction to Census Concepts

    Michele Matz Hayslett

    Do you know that variables like income and educational attainment are no longer part of the decennial census? Do you understand the differences between the decennial long form methodology and that of the American Community Survey (ACS)? If your answer to these questions is no, this class is for you! We will compare and contrast content and methodology of the decennial census long form and the ACS, and review Census terminology and geographies. (This class or equivalent knowledge is required for the Basic and Advanced Access classes.)
    Do you know that variables like income and educational attainment are no longer part of the decennial census? Do you understand the differences between the decennial long form methodology and that of the American Community Survey (ACS)? If your answer to these questions is no, this class is for you! We will compare and contrast content and methodology of the decennial census long form and the ACS, and review Census terminology and geographies. (This class or equivalent knowledge is required for the Basic and Advanced Access classes.)

    To Register, click here

    * Waitlist/ Walk-ins: There may be a waitlist for the courses. Walk-ins will not be accepted. Each attendee must register prior to the start of the course.

    This Research Hub short course is offered through a partnership between the Odum Institute for Research in Social Sciences and the University Library.

    Davis 3010
    Date: September 20, 2016

    Times: 9:00am - 11:30am

    Basic Access to Census Data

    Michele Matz Hayslett

    Hands-on workshop to help users understand the strengths of various Census data retrieval tools, both freely available ones and those to which the library subscribes: American FactFinder, the Census Bureau’s freely available database; Social Explorer, a commercially licensed tool to which the library subscribes; and the grant-supported (so, free to you) National Historical Geographic Information System (NHGIS). These tools provide access to pre-constructed data tables published by the Census Bureau. Some are better for the most recent data and others are useful for historical data. Come learn how to choose the best tool for your research, and the ins and outs of each tool. (Prerequisite: Intro to Census Concepts or equivalent knowledge.)

    To Register, click here

    * Waitlist/ Walk-ins: There may be a waitlist for the courses. Walk-ins will not be accepted. Each attendee must register prior to the start of the course.

    This Research Hub short course is offered through a partnership between the Odum Institute for Research in Social Sciences and the University Library.

    Davis 3010
    Date: September 20, 2016

    Times: 1:00pm - 4:00pm

    Advanced Access to Census Data

    Michele Matz Hayslett

    Hands-on workshop to help users understand the strengths of various Census (and other survey) data retrieval tools which allow the creation of custom cross-tabulations (that is, custom data tables). Tools to be covered include: DataFerrett; iPUMS; TerraPopulus (in beta); and the Triangle Research Data Center (TRDC). The first three tools are freely available and we will focus on their census data content (U.S. for DataFerrett; U.S. and international for iPUMS and TerraPopulus); researchers must apply to the Census Bureau (or other federal agency, e.g., the Centers for Disease Control) for access to the TRDC in order to utilize survey microdata. (Prerequisite: Intro to Census Concepts or equivalent knowledge.)

    To Register, click here

    * Waitlist/ Walk-ins: There may be a waitlist for the courses. Walk-ins will not be accepted. Each attendee must register prior to the start of the course.

    This Research Hub short course is offered through a partnership between the Odum Institute for Research in Social Sciences and the University Library.

    Davis 3010
    Date: September 21, 2016

    Times: 9:00am - 12:00pm

    Tableau I

    Matt Jansen

    Tableau is a user-friendly software application used to create static or interactive visualizations and dashboards. Examples can be found here: https://public.tableau.com/s/gallery

    Tableau's drag-and-drop interface provides tools to build a variety of visualizations with no coding required, and visualizations can be embedded in websites by copying and pasting embed code. In this workshop, participants will create basic visualizations and an interactive dashboard in Tableau Public.

    Note: Participants should create an account at public.tableau.com before the workshop in order to save the exercise dashboard to the web. https://public.tableau.com/auth/signup

    Pre-registration required. Register here

    This Research Hub short course is offered through a partnership between the Odum Institute for Research in Social Sciences and the University Library.

    Davis 247
    Date: October 5, 2016

    Times: 10:00am - 11:15am

    Tableau II

    Matt Jansen

    Tableau is a user-friendly software application used to create static or interactive visualizations and dashboards. Examples can be found here: https://public.tableau.com/s/gallery

    This workshop will help attendees improve upon basic web-based interactive visualizations and dashboards covered in Tableau I. Topics covered will include: Dashboards, Stories, Filters and linked visualizations, Custom maps, and more!

    Note: Participants should create an account at public.tableau.com before the workshop in order to save their work to the web. https://public.tableau.com/auth/signup

    This Research Hub short course is offered through a partnership between the Odum Institute for Research in Social Sciences and the University Library.

    Davis 247
    Date: October 7, 2016

    Times: 10:00am - 11:15am

    Collecting and Analyzing Textual Data

    Kelsey Shoub
    This two-day hands-on short course provides a brief introduction to quantitative text analysis and mining in the social sciences for those who have little to no experience with the topic. The first session will focus on the basics of the collecting and formatting the text, an overview of how to extract specific pieces of information, and how to process your documents. The second session will provide an introduction to supervised, semi-supervised, and unsupervised models used to classify or elicit information from the text. In this context, supervised means that the researcher provides some amount of information for an algorithm to be trained and then be used to make predictions or explanations. A basic working knowledge of R is necessary. For those wanting a refresher, see the online R course available on Odum's website: Introduction to R

    No registration required. UNC students, faculty, and staff will need to show their UNC OneCard.

    Davis 219
    Dates: October 11 & 13, 2016 (TENTATIVE)

    Times: 9:30am - 12:00pm