Education

Course Schedule

Qualitative Analysis

ATLAS.ti 7 Introductory Hands-on Workshop

Paul Mihas

This hands-on short course will illustrate the capabilities of ATLAS.ti 7, a software program for coding and interpreting qualitative text. It provides a network editor that allows you to graphically display and examine the hierarchical and relational connections among your codes. ATLAS.ti provides numerous options for attaching memos and comments to text segments, documents, and codes.

No registration required.

For further information, please contact Paul Mihas.

Click here for a course handout.


3010 Davis Library
January 22, 2015 2:00 PM - 4:30 PM

Qualitative Research Summer Intensive

Carolina Inn
July 27, 2015 9:30 AM - 4:00 PM
July 28, 2015 9:30 AM - 4:00 PM
July 29, 2015 9:30 AM - 4:00 PM
July 30, 2015 9:30 AM - 4:00 PM
July 31, 2015 9:30 AM - 4:00 PM

Mixed Methods: Combining Qualitative and Quantitative Approaches

The intent of this three-day workshop is to assist participants in the design of a rigorous mixed methods project. To this end, participants are encouraged to bring to the course a project to work on. This project may consist of (a) research study that they would like to complete using mixed methods; (b) a dissertation project that they see as mixed methods research; (c) a proposal for funding a mixed methods project; (d) an existing project that has been cast as a mixed methods study. Other project ideas will also be considered. Interspersed with the project development will be mini-presentations and discussion on the following topics: (a) an introduction to mixed methods research; (b) designing a mixed methods project; (c) writing a mixed methods journal article; (d) designing a proposal for funding (using NIH as a potential funding agency), and e) using qualitative software for analyzing data in a mixed me*thods project. The instructors will attempt to fit the class to the needs of the participants.

Fee: $1,300

Registration details TBA.
Davis 3010
August 05, 2015 9:00 AM - 5:00 PM
August 06, 2015 9:00 AM - 5:00 PM
August 07, 2015 9:00 AM - 5:00 PM

Quantitative Analysis

A Beginner's Look at Multilevel Analysis

Paul Voss

This five-session short course provides an introduction to multilevel modeling for those who have no prior knowledge of the topic. It will also be useful for those with some experience in multilevel data analysis but a desire to develop a stronger theoretical grounding and improved understanding of different multilevel models and computer output. Multilevel modeling is used throughout the social, medical and other sciences to understand how response variables at one level of analysis can be influenced by variables from other levels in a data nested hierarchy. The R programming suite will be used to demonstrate the specification of various multilevel models.

To register, click: here


Davis 3010
October 29, 2014 2:00 PM - 4:00 PM
November 05, 2014 2:00 PM - 4:00 PM
November 12, 2014 2:00 PM - 4:00 PM
November 19, 2014 2:00 PM - 4:00 PM
December 03, 2014 2:00 PM - 4:00 PM

A Beginner's Look at Multivel Analysis

Paul Voss

This five-session short course provides an introduction to multilevel modeling for those who have no prior knowledge of the topic. It will also be useful for those with some experience in multilevel data analysis but a desire to develop a stronger theoretical grounding and improved understanding of different multilevel models and computer output. Multilevel modeling is used throughout the social, medical and other sciences to understand how response variables at one level of analysis can be influenced by variables from other levels in a data nested hierarchy. The R programming suite will be used to demonstrate the specification of various multilevel models.

To register, click: here

Davis 219
Dates: 1/14/15, 1/21/15, 1/28/15, 2/4/15, 2/11/15
Times: 2 - 4pm

Latent Trajectory/Growth Curve Analysis

Ken Bollen
A powerful method for analyzing longitudinal data is Latent Trajectory Analysis (LTA). LTA allows each case in a sample to have individual trajectories ("latent curves" or "growth curves") representing change over time. In addition to mapping these trajectories, LTA allows researchers to examine the determinants of these trajectories or to relate the trajectories of one variable with those of another. The approach to LTA in this course draws on the strengths of structural equation modeling (SEM), and the primary goal is to introduce participants to the theory and application of LTA. The course begins with a conceptual introduction to LTA, a description of research questions that are well-suited for the technique, and a review of SEMs. The remainder of the course will cover the following topics: LTA models for a single variable with and without predictors of differences in trajectories; modeling nonlinear trajectories; the LTA model for multiple variables; the relation between the parameters governing the trajectories in two or more variables; incorporating predictors of multiple trajectories; and extensions to the LTA model. Participants should have prior training and experience with structural equation modeling and related software.
Instructor: Kenneth Bollen.
Class is from 9 a.m. to 5 p.m. Registration details TBA.
Davis 219
May 18, 2015 9:00 AM - 5:00 PM
May 19, 2015 9:00 AM - 5:00 PM
May 20, 2015 9:00 AM - 5:00 PM
May 21, 2015 9:00 AM - 5:00 PM
May 22, 2015 9:00 AM - 5:00 PM

Growth Mixture Models

Sarah Mustillo

The Growth Mixture Model (GMM) is an extension of the Latent Growth Curve Model (LGCM) that identifies distinct subgroups of growth trajectories and allows individuals to vary around subgroup-specific mean trajectories. Conventional growth modeling estimates a single mean intercept and slope for each individual and variance parameters around the mean intercept and slope. The GMM relaxes the assumption that all individuals are drawn from a single population with common parameters by using latent trajectory classes, resulting in separate intercepts, slopes, and variance parameters for each subgroup.

This workshop will provide training in estimating GMMs to analyze growth trajectories. Key features of this model are that it can identify the number and form of distinct subgroups of growth trajectories, estimate the proportion of the population in each subgroup, and model predictors of the trajectories and predictors of class membership. In addition to the basic model, this workshop will cover several extensions, such as including a distal outcome predicted by the trajectories, multiple group GMMs , and parallel process or joint trajectory models.

Registration details TBA.
Davis 219
May 26, 2015 9:00 AM - 5:00 PM
May 27, 2015 9:00 AM - 5:00 PM
May 28, 2015 9:00 AM - 5:00 PM

Spatial Analysis

Applied Spatial Regression Analysis

Paul Voss

This six-session 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. Spatial data typically are characterized, first, by heterogeneity, arising (1) from often highly diverse units of analysis (in terms both of geographic area and population size) and (2) from large-scale, long-distance regional differentiation (where social and economic activities are distributed across the landscape in somewhat homogeneous regions that stand out as different from neighboring regions). Second, spatial data usually are characterized by localized, small-scale, inter-unit dependence, arising from a host of mechanisms operating in space that serve to make individual units of analysis very much like other units in their neighborhood. These two factors (spatial heterogeneity and spatial dependence) conspire to bring our traditional regression results into violation of the strict assumptions underlying the standard linear regression model. Thus, when analyzing spatial data, it is paramount, first, to know how seriously the assumptions of the regression model are violated, and, second, what to do about it. This short course will provide a brief orientation to these important issues. Two analysis software packages will be used: OpenGeoDa and R.


This course will open for registration 60 days prior to start date.

Davis 219
Dates: 2/25/15, 3/4/15, 3/18/15, 3/25/15, 4/1/15, 4/8/15
Time: 2pm - 4pm

Survey Research

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.

    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
    January 22, 2015 9:00 AM - 4:30 PM

    Designing Web Surveys

    Mick Couper
    This course will illustrate the appropriate use of web tools (such as radio buttons, check boxes, slider bars), and the use of images, screen layout and other aspects of the user interface which affect accuracy of survey results. The course will not address web survey software or programming; the principles to be discussed are independent of any single software package. The Instructor: Dr. Mick 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 maintains an active knowledge of methodological principles and experimental research addressing measurement error in web surveys.


    Registration Fees:

  • CPSM Students - $30
  • UNC Students - $45
  • Other - $60
    Registration will open 60 days prior to the class date.

    This course will count as 7.0 short course credit hours.

    For more information, please contact Jill_Stevens@unc.edu.

    * 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
    February 12, 2015 9:00 AM - 4:30 PM

    Introduction to Focus Groups

    Emily Geisen and Amanda Wilmot
    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
    Registration will open 60 days prior to class date.

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

    For more information, please contact Jill_Stevens@unc.edu.

    * 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
    March 05, 2015 9:00 AM - 4:30 PM

    Social Media's Role in Survey Research

    Joe Murphy

    This course covers the active use of social media throughout the survey lifecycle, including questionnaire design and testing, subject recruitment, respondent tracking and longitudinal panel retention, and use as supplementary or proxy data. It includes examples of analysis of social media data to supplement or as an alternative to survey research, highlighting the topics, methods, and ethical considerations that accompany this growing area of research. We end with considerations for the role of social media in public opinion research in the future as this area of research evolves.

    Examples of issues that will be discussed include:

    • defining social media for the purposes of determining its potential role within survey research
    • the motivation for tapping this source of behavioral and attitudinal measurement
    • the availability and quality considerations inherent in social media data analysis
    • current uses and evaluations of social media in research
    • the legal and ethical issues that must be considered when considering social media as a resource in research
    • challenges and questions on the road ahead in developing best practices for social media in survey research, including validation of social media data; addressing coverage, sampling, and differential access challenges; designing better integrations of surveys and social media; leveraging the unique features of social media; and continuing to refine the understanding and guidance on privacy and ethics.

      THE INSTRUCTOR

      Joe Murphy is Director of the Program on Digital Technology and Society within RTI Internationalís Survey Research Division. His research focuses on the development and application of new technologies and modes of communication to improve the survey research process. His recent work has centered on the use and analysis of social media to supplement survey data, with a detailed focus on Twitter. Mr. Murphy also investigates optimal designs for mobile data collection platforms, data visualization, crowdsourcing, and social research in virtual worlds. He is a demographer by training and survey methodologist by practice.


      Registration Fees:
    • CPSM Students - $30
    • UNC Students - $45
    • Other - $60
      Registration will open 60 days prior to class date.

      This course will count as 4.0 CPSM short course credit hours.

      For more information, please contact Jill_Stevens@unc.edu.

      * 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
      March 19, 2015 1:00 PM - 5:00 PM

      Designing and Conducting Surveys of Businesses and Organizations

      Diane Willimack
      This course provides an overview of methodological issues associated with the use of surveys to collect data from organizations. We will identify key differences between household surveys and organizational surveys, emphasizing organizational behaviors and attributes that affect survey response. We will demonstrate an approach to survey design that utilizes understanding and consideration of this organizational context when developing, adapting, and implementing data collection instruments and procedures. This course will include topics related to survey planning, questionnaire design and pretesting, data collection modes, and communication and response improvement strategies.

      This integrated approach to surveys of businesses and organizations is the subject of a new book in the Wiley Series in Survey Methodology, entitled Designing and Conducting Business Surveys, written by Ger Snijkers, Gustav Haraldsen, Jacqui Jones, and Diane K. Willimack.


      Registration Fees:

    • CPSM Students - $30
    • UNC Students - $45
    • Other - $60
      This course will open 60 days prior to class date.

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

      For more information, please contact Jill_Stevens@unc.edu.

      * 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
      April 09, 2015 9:00 AM - 4:30 PM

      Statistical Computing

      Stata

      Rosemary Russo

      This is a 3-part short course (held over three afternoons). Stata part 1 will offer an introduction to Stata for Windows. Part 2 will teach entering data in Stata, working with Stata do files, and show how to append, sort, and merge data sets in Stata. Part 3 teaches how to perform basic statistical procedures and how to draw sub samples from large datasets.

      No registration required.


      Davis 219
      Dates: 2/4/15 - 2/6/15
      Times: 10am - 12pm

      Introduction to R for Social Scientists

      Mark Yacoub

      This is a two-day course on R, an open-source programming language for statistical analysis and graphics. It provides the analyst with a wide variety of tools commonly used in statistical modeling with more flexible, objected-oriented facilities than other programs like Stata or SAS. This course is designed for those with little or no R experience. It will cover basic syntax and data loading, model estimation, loading and using written packages (including a sampling of popular packages), graphical presentation of model results, and Monte Carlo simulation. After completing the course you will know enough to be able to (1) conduct a typical statistical analysis for your own research and (2) search for the things you don't know in an efficient manner.
      Registration is not required.

      Davis 3010
      Dates: 2/16-17/2015
      Times: 2:30pm - 5:00pm

      SAS

      Chris Weisen
      This is a four-part course that does NOT require registration. 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.

      There is no fee for this course and registration is not required.

      Davis 3010
      Dates: 2/23/15 - 2/26/15
      Times: 11:00am - 1:00pm