Education

Course Schedule

Qualitative Analysis

Mixed Methods: Combining Qualitative and Quantitative Approaches

Jennifer Wisdom and Kim Hoffman

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:
Davis 247
June 16, 2014 9:00 AM - 5:00 PM
June 17, 2014 9:00 AM - 5:00 PM
June 18, 2014 9:00 AM - 5:00 PM

CBPR-Community-Based Participatory Research: Practical Tools and Structures

Geni Eng, Melvin Jackson, Alexandra Lightfoot, Jennifer Schaal
Whether new to or experienced with engaging communities in research, investigators are challenged by the inevitable tensions between scientific requirements for rigor and control, and communitarian demands for participation and transparency. Community-based participatory research (CBPR) is often complicated by multi-layered partnerships, based in power relations negotiated between diverse groups (each with specific histories, politics, and cultures), while being regulated by external forces of research governance. What is distinctive about CBPR is a set of principles to guide the openness, fluidity, and unpredictability of a collaborative approach to research. Through conducting CBPR since 1991, our team of academic and community-based investigators has developed and used practical tools and structures for CBPR partners to:

  • define a common vocabulary to discuss power and inequities
  • codify equitable decision-making power
  • anticipate and manage conflict
  • approve and co-author findings and publications
  • establish alternate institutional ethical review processes
In this course, you will receive copies of these tools and structures for your consideration. We will use a blend of brief lectures, interactive discussions, and a reading/writing exercise to stimulate all of us to think creatively about CBPR tools and structures and apply the results to our own work. For example, to analyze and guide our practice in applying CBPR principles, you will receive a real life case of a community-academic partnership engaged in using the qualitative research method of critical incident technique interview. Through this case, we will explore if African American and White women, diagnosed and treated with breast cancer at the same facility, received cancer care that was the same. We are enthusiastic about the potential for co-learning that will occur.

To register, go to http://researchtalk.com/qrsi-2014
Carolina Inn
July 28, 2014 9:00 AM - 5:00 PM
July 29, 2014 9:00 AM - 5:00 PM

Coding and Analyzing Qualitative Data

Johnny Saldaña
This two-day workshop focuses on a range of selected methods of coding qualitative data for analytic outcomes that includes patterns, categories, themes, processes, and causation. The course will also touch upon how these methods fit with or differ from coding strategies in grounded theory and phenomenology. Coding and Analyzing Qualitative Data will address:

  • Various coding methods for qualitative data (interview transcripts, field notes, documents)
  • Analytic memo and vignette writing
  • Heuristics for thinking qualitatively and analytically
Manual (hard copy) coding will be emphasized with a discussion of available analytic software for future use. Workshop content is derived from Saldaña’s The Coding Manual for Qualitative Researchers (2d ed., Sage Publications, 2013).

To register, go to http://researchtalk.com/qrsi-2014/.
Carolina Inn
July 28, 2014 9:00 AM - 5:00 PM
July 29, 2014 9:00 AM - 5:00 PM

Collecting Qualitative Data

Greg Guest and Emily Namey
This course focuses on in-depth discussion of, and practice with, the three primary qualitative data collection methods -- participant observation, in-depth interviews, and focus groups. Participants have a chance to develop data collection guides and role-play while picking up tips for effective and rigorous data collection. Wherever possible, we illustrate concepts and techniques with concrete international and domestic examples. Additionally, this course covers the following topics: • Selecting appropriate data collection and sampling strategies for qualitative research • Identifying and addressing ethics considerations specific to qualitative research • Describing a range of visual and other enhanced data collection techniques Where time permits, we also incorporate logistical considerations, such as remote data collection and data management issues and options, to provide guidance on implementing qualitative data collection techniques. The course content will draw from Collecting Qualitative Data: A Field Manual for Applied Research, by Greg Guest, Emily Namey, and Marilyn Mitchell (Sage, 2013).
Carolina Inn
July 28, 2014 9:00 AM - 5:00 PM
July 29, 2014 9:00 AM - 5:00 PM

Integrating and Communicating Qualitative-focused Mixed Methods Study Findings

Alison Hamilton
This session will explore integrating and communicating findings from qualitative-focused mixed methods studies. With specific attention to the rewards and challenges of different research designs, we will discuss the possible points of interface and products of mixed methods research that tell an integrated story. In the parallel convergent design, numerous possibilities for conveying mixed results arise, such as joint-display tables and side-by-side comparisons that allow the quantitative and qualitative perspectives to “talk back” to each other. In the exploratory sequential design, our goal is to make meta-inferences to relate whether and how the quantitative phase provides a more generalized understanding than the qualitative phase alone. We will also discuss examples, such as combining focus groups and surveys, to gain not only a more comprehensive understanding of the two sources of data but to consider ways -- both visually and in writing -- to convey this understanding to an audience and extend the analytical reach of your mixed methods story. Some familiarity with mixed methods research is required. Participants are encouraged to bring ideas for mixed methods studies that they can explore during the workshop.

To register, go to http://researchtalk.com/qrsi-2014/.
Carolina Inn
July 28, 2014 9:00 AM - 5:00 PM
July 29, 2014 9:00 AM - 5:00 PM

Introduction to Grounded Theory: A Social Constructionist Approach

Kathy Charmaz
This class introduces grounded theory methods from a social constructionist approach to new and experienced qualitative researchers. You will gain practical guidelines for handling data analysis, a deeper understanding of the logic of grounded theory, and strategies for increasing the theoretical power and reach of your work. I treat grounded theory as a set of flexible guidelines to adopt, alter, and fit particular research problems, not to apply mechanically. With these guidelines, you expedite and systematize your research. Moreover, using grounded theory sparks fresh ideas about your data. The sessions cover an overview of basic guidelines and hands-on exercises. I offer ideas about data gathering and recording to help you obtain nuanced, rich data. We discuss relationships between qualitative coding, developing analytic categories and generating theory and attend to specific grounded theory strategies of coding, memo-writing, theoretical sampling, and using comparative methods. You will receive guided practice in using each analytic step of the grounded theory method. If you have collected some qualitative data, do bring a completed interview, set of fieldnotes, or document to analyze. If you do not have data yet, we will supply qualitative data for you. If you prefer to use a laptop for writing, bring one, but you can complete the exercises without a computer.

To register, go to http://researchtalk.com/qrsi-2014
Carolina Inn
July 28, 2014 9:00 AM - 5:00 PM
July 29, 2014 9:00 AM - 5:00 PM

Negotiating Diversity in Qualitative Research

Robin Jarrett
Personal characteristics are critical considerations in qualitative research where the “researcher is the tool, and the interaction is the method.” Often the researcher and informants differ on key characteristics, such as race-ethnicity, gender, sexual orientation, age (generation), culture, social class-educational level, cultural differences/language, and religion. Focusing on the “human tool,” this workshop will explore a range of issues inherent in this intimate method, including positionality and reflexivity. Key topics will include: • How do personal characteristics affect the development of research relationships and rapport building with informants in interview and field contexts? • What are the critical issues in discussing insider-outsider debates? • What are the promise and dilemmas of insider and outsider statuses? • What are the implications of “going native”? • How do personal characteristics influence the type and quality of data that researchers have access to? • What are the commonalities that qualitative researchers experience irrespective of insider/outsider status? We also consider the importance of reflexivity as the researcher reflects on and monitors his/her human tool: How are data analysis and interpretation influenced by the researcher’s status? • What research frameworks help researchers more directly reflect on participants’ worldviews, experiences, voices (participatory action research) • How do we know if researcher representations of participants’ voices are credible? To explore these topics, we will draw upon case study examples from qualitative researchers whose research entailed a focus on personal characteristics. We will critically examine how researchers’ status(es) present particular personal, methodological, and interpretative challenges and how they address them. As part of this discussion we will also draw on the experiences of workshop participants and examine how they managed issues brought forth by the use of the human tool. To register, go to http://researchtalk.com/qrsi-2014.
Carolina Inn
July 28, 2014 9:00 AM - 5:00 PM
July 29, 2014 9:00 AM - 5:00 PM

Arts-based Qualitative Inquiry

Patricia Leavy
Qualitative scholars in multiple disciplines are fruitfully using arts-based research to reveal information and represent experiences that traditional methods cannot capture. Arts-based research is used when researchers across disciplines adapt the tenets of the creative arts in order to address their research questions and/or represent their research findings.

The workshop covers the kinds of research questions these innovative approaches can address and offers practical guidance for applying them in all phases of a research project. These phases range from design and data collection to analysis, interpretation, representation, and struggles over standards including discussion of validity, assessment, trustworthiness, authenticity, and the renegotiation of scientific criteria.

This discussion applies across the different genres of arts-based research:

  • Narrative inquiry
  • Experimental and fictional writing
  • Poetry
  • Performance studies
  • Dance and movement
  • Music
  • Visual art
  • Film
Through lecture and in-class activities, we will evaluate the advantages and challenges of using arts-based research. Course participants will gain practical experience integrating artistic process into qualitative research within one genre of arts-based research. (Students may choose to focus on poetry, fiction, ethnodrama, or visual representation.)

Participants are encouraged to bring data (interviews, ethnographic observations, documents, journals, photographs, autoethnographic essays) for in-class activities. Participants without their own data will be provided with materials.

This course is appropriate for researchers at all levels who are interested in bridging the art-science divide--whether you are already using arts-based research or if it is new to you.

To register, go to http://researchtalk.com/qrsi-2014/.
Carolina Inn
July 30, 2014 9:00 AM - 5:00 PM

Increasing the Usefulness of Qualitative Research Projects

Alison Hamilton
In this era of constrained funding, it has become increasingly important to make qualitative research useful in a timely and efficient manner. In many contexts (e.g., health, public health, education, policy), qualitative studies now need to be designed to produce information and impact in relatively short timeframes. This course will provide participants with strategies for designing and executing qualitative studies in order to be able to share and apply results in real time and potentially in combination with quantitative results.

To register, go to http://researchtalk.com/qrsi-2014.
Carolina Inn
July 30, 2014 9:00 AM - 5:00 PM

Pathways to Qualitative Findings

Robin jarrett
This workshop considers how to move forward with qualitative data and analysis. We explore the deeply interrelated processes of interpreting, writing up, and evaluating qualitative data. We then discuss an array of analysis techniques, including coding techniques, that can be used to discover meanings, highlight participants’ voices, and identify social processes and social interactions.

We will review pathways to findings as we consider context, people, processes, and meanings. Strategies to facilitate interpretation include members’ stories and explanations, members’ words, typologies, and metaphors. We will also present different types of data displays to demonstrate how visual techniques can be used to identify patterns and relationships in the data. In addition, memo writing, or documented ways of thinking out loud, can be used to move your preliminary analyses to deeper levels of understanding.

The workshop will further consider how to write up qualitative findings, highlighting their descriptive nature and multiple voicing. Particular attention will be given to qualitative writing in response to different venues and audiences (academic, applied, government, not-for-profit). Next, we will consider the credibility of qualitative findings. How do you know if you “got it right”? Here, we will discuss key strategies including peer debriefings, member checks, triangulation, reflexivity, and audit trails. To facilitate our examination of these topics, we will include case study examples from researchers to show how they grapple with making sense of their data and findings and check their credibility. Finally, we will discuss how to present research findings to different audiences in thoughtful and actionable ways.

To register, go to http://researchtalk.com/qrsi-2014
Carolina Inn
July 30, 2014 9:00 AM - 5:00 PM

Qualitative Health Research

Maria Mayan
This workshop will address why we differentiate qualitative health research from other forms of qualitative research. Our focus will center on:

  • What is qualitative health research?
  • What is the focus of qualitative health research?
  • What kind of questions can be asked though qualitative health research?
  • Who does qualitative health research?
  • What are the key elements of qualitative health research?
  • Why should we care about the domain of qualitative health research?
These questions will be discussed in the context of health research, including generating “evidence,” mobilizing or translating evidence, mixed methodology, and patient-centered or participant-centered care. This workshop will be of interest to those who are tasked with research in public/population health, health care delivery, patient/client care, and the sociocultural dimensions of health.

To register, go to http://researchtalk.com/qrsi-2014
Carolina Inn
July 30, 2014 9:00 AM - 5:00 PM

Writing Effective Qualitative and Mixed-Methods Research Proposals

Margarete Sandelowski
The focus of this course is on concrete, this-is-how-you-might/should-say-it strategies for designing and writing effective and competitive qualitative and mixed-methods research proposals. Qualitative and mixed-methods research proposals are exercises in artful and mindful design, verbal precision, imaginative and informed rehearsal, elegant expression, and strategic disarmament. We will cover principles generic to proposals, and specific ways to communicate the significance, conceptual framing, methodological details (sampling and data collection and analysis plans, plans for optimizing validity and human subjects protections) of, and budget and budget justification for, the planned study. We will also cover strategies for addressing those aspects of qualitative and mixed-methods research designs likely to arouse the most concern among reviewers less familiar with them, most notably the purposeful sampling frame and generalizability of study findings. This course is appropriate for graduate students and faculty in the practice disciplines (e.g., clinical psychology, education, medicine, nursing, public health, social work) as well as researchers from other fields of study (e.g., sociology, anthropology). In addition to didactic instruction, handouts, and a suggested reference list, the course will also include an interactive session where participants will have the opportunity, as time permits, to ask questions about their own proposals for problem solving.

To register, go to http://researchtalk.com/qrsi-2014
Carolina Inn
July 30, 2014 9:00 AM - 5:00 PM

Autoethnographic Research

Tony Adams
Authoethnography, a form of self-reflection that explores the researcher's personal experience, flourishes in qualitative inquiry. This workshop examines the use and importance of autoethnography, and, more specifically, examines the processes for collecting and analyzing data, doing fieldwork, and writing reports through an autoethnographic perspective. We will examine the history of autoethnographic inquiry, establish connections between autoethnography and other research methods, and outline the purposes and principles of doing and writing autoethnography. We will also investigate ethical issues and discuss how concepts such as generalizability, reliability, and validity might apply to autoethnographic research and determine criteria for assessing autoethnographic texts. The workshop will include examples of autoethnography and will allow time for participants to ask questions about using this approach in their own work. New and experienced researchers of qualitative inquiry will both benefit from this course. It introduces the general purposes, practices, and principles of autoethnographic research. It also foregrounds the current state of autoethnography in qualitative inquiry, establishes criteria for evaluating autoethnographic texts, examines contemporary ethical dilemmas of doing autoethnographic research, and outlines future trends for doing autoethnography. To register, go to http://researchtalk.com/qrsi-2014.
Carolina Inn
July 31, 2014 9:00 AM - 5:00 PM
August 01, 2014 9:00 AM - 5:00 PM

Crafting Phenomenological Research

Mark Vagle
This workshop engages in the following activities:

  • Exploring philosophical concepts and notions in phenomenology. We will consider what constitutes a phenomenon in phenomenology; what intentionality means to phenomenologists and why it is so important in phenomenological research; and how prepositions can help us grasp some of the philosophical nuances of phenomenology and put them to use methodologically.
  • Learning about phenomenological research approaches. We will survey some of the possible approaches to conducting phenomenological research; will learn about how to design research using these approaches; and will practice some of the key methodological strategies and tools one can use when crafting phenomenological research, such as going on phenomenology walks, writing about lived experiences, viewing films, analyzing music, and interviewing one another.
  • Engaging in a post-intentional approach to phenomenological research. We will explore how some aspects of post-structural philosophy can be put in dialogue with phenomenological philosophies and how post-intentional phenomenological research can be crafted methodologically through Vagle’s five-component methodological process: (1) Identify a phenomenon in its multiple, partial, and varied contexts; (2) Devise a clear, yet flexible process for gathering data appropriate for the phenomenon under investigation; (3) Make a post-reflexion plan; (4) Read and write your way through your data in a systematic, responsive manner; and (5) Craft a text that captures tentative manifestations of the phenomenon in its multiple, partial, and varied contexts.
A wide variety of methodological and philosophical texts and examples of phenomenological studies will be on hand for participants to read and discuss during the course. The course is based on Vagle’s book by the same name, Crafting Phenomenological Research (Left Coast Press, 2014).

To register, go to http://researchtalk.com/qrsi-2014
Carolina Inn
July 31, 2014 9:00 AM - 5:00 PM
August 01, 2014 9:00 AM - 5:00 PM

Essentials of Qualitative Inquiry

Maria Mayan
Qualitative research advances what we can know about our world and how we can know it. Methodological cohesion ensures congruence between how we ask questions, the methods we choose, our theoretical position, and how we make sense of our data. In this workshop, we will talk through possible methods for conducting qualitative inquiry, various forms of analysis, representation, rigor, and strategies of verification. Working concurrently through an iterative process of data collection-analysis-collection-analysis allows you to follow up on “gems” that show up along the way. Understanding this iterative process is essential to doing research that goes beyond reproducing the ordinary. Topics for this workshop are also addressed in Mayan’s book, Essentials of Qualitative Inquiry (Left Coast Press, 2009). To register, go to http://researchtalk.com/qrsi-2014.
Carolina Inn
July 31, 2014 9:00 AM - 5:00 PM
August 01, 2014 9:00 AM - 5:00 PM

Finding the Stories in Qualitative Data

Johnny Saldaña
This two-day workshop focuses on finding the analytic “story,” in its broadest sense, for qualitative inquiry. Content derives from the various narrative forms we employ during the collecting, analyzing, and writing stages of research. Literature provides researchers with models for qualitative analysis and write-ups. Literary conventions and social inquiry are analogous in several ways; thus, the workshop will investigate:

  • participants as characters
  • case studies as monologues
  • vignettes and profiles as analytic short stories
  • phenomenology as poetry
  • codes and categories as symbols, motifs, and metaphors
  • qualitative data analysis as storylining
  • matrices and diagrams as plot structures
  • theory as proverbs and fables
  • the literary writing styles of research genres
Overall, the workshop will address finding and writing up the stories of a research project, using familiar literary genres, elements, and styles as reference points. Workshop content is derived from Saldaña's Fundamentals of Qualitative Research (Oxford University Press, 2011), which addresses the narrative components of social inquiry. To register, go to http://researchtalk.com/qrsi-2014.
Carolina Inn
July 31, 2014 9:00 AM - 5:00 PM
August 01, 2014 9:00 AM - 5:00 PM

Publishing Qualitative Work

Mitch Allen
Getting a qualitative article or book published is about more than simply doing the research, writing it up, and sending it off. It is a social process for which there are strategies in presenting your work to the journal editor or book publisher — and ways to craft your message to them — that greatly improve your chances of success. Most academics—both novices and experienced researchers — either don't know or don't follow these steps. In this workshop, I demystify what publishers and editors do, how they make their decisions, and how you can best interact with them and other intermediaries to maximize your chances of success. The workshop will help you develop materials that will pique a publisher’s or editor’s interest. We will also explore research strategies to identify the right home for your work. Also included will be discussions on edited books, how to publish from your dissertation, and when to consider open access and electronic publications. Participants will be asked to use these principles to craft a proposal/abstract for a book or article, title the work, create key words, and identify a set of publication outlets where the project can be submitted. Please bring the idea for your next book and/or article for these exercises.

To register, go to http://researchtalk.com/qrsi-2014
Carolina Inn
July 31, 2014 9:00 AM - 5:00 PM
August 01, 2014 9:00 AM - 5:00 PM

Writing Rites: Working on Your Analysis and Writing

kathy Charmaz
What makes one qualitative study much more compelling than others? How can the writing strategies of professional writers help us improve our work? How do you manage to write when you work in a setting that allows scant time for writing? Would you like to expedite analyzing your data and writing your report? Which strategies help you gain acceptance and admiration from your intended audiences? This class addresses these questions. Qualitative reportage relies on art and science. Learning how to construct an artful rendering of your work increases the power of your analysis. This class covers both professional writers’ tips and tricks and qualitative analysts’ strategies and shortcuts. It will help you develop a more incisive, creative, and clear narrative. Our approach emphasizes how to construct a creative analysis and to write it for varied audiences. You will gain fresh ideas for proceeding with the analysis, integrating your ideas into a cogent, coherent piece of work, and communicating the significance of your work. This class covers crafting research stories and writing analytic reports but the two are not separate endeavors. Thus we show how to bring analytic definition and logic to stories and to build imagery, rhythm, metaphor, and surprise into analytic reports. We also cover strategies for developing arguments, writing literature reviews and theoretical frameworks and integrating your manuscripts. Writing abstracts, titles, and introductions share problems and pitfalls. Our agenda includes learning a few tricks to help you resolve these problems and avoid the pitfalls. The last session focuses on choosing journals and publishing houses, preparing your manuscript for submission, and working with editors and reviewers. This class best serves participants who are in the midst of a qualitative project or have had some experience with qualitative research and have engaged in qualitative coding and memo writing. Writers of all types of qualitative research are welcome. Researchers who conduct ethnographies, use discourse analysis, engage in narrative inquiry, follow grounded theory strategies, or create personal narratives will all gain ideas and strategies to advance their work.

To register, go to http://researchtalk.com/qrsi-2014
Carolina Inn
July 31, 2014 9:00 AM - 5:00 PM
August 01, 2014 9:00 AM - 5:00 PM

Quantitative Analysis

Latent Trajectory/Growth Curve Analysis (9 a.m. to 5 p.m.)

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. For registration details, click here
Davis 219
June 02, 2014 9:00 AM - 5:00 PM
June 03, 2014 9:00 AM - 5:00 PM
June 04, 2014 9:00 AM - 5:00 PM
June 05, 2014 9:00 AM - 5:00 PM
June 06, 2014 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.

For registration details, click here
Davis 219
June 09, 2014 9:00 AM - 5:00 PM
June 10, 2014 9:00 AM - 5:00 PM
June 11, 2014 9:00 AM - 5:00 PM

Introduction to Data Science

Tom Carsey
Data Science combines tools from information science, computer science, and statistics to collect, manage, analyze, and understand digital data. Modern data science pays particular interest to data regarding the social and economic attitudes and behaviors of people. This course provides an introduction to data science, focusing on data about people. It will cover basic building blocks, key concepts, strengths and limitations, and the ethical issues that emerge in data science. Numerous examples will be discussed, sample code and data will be explored, and there will be a hands-on component for participants. There are no prerequisites for this course.

To register, click here Location: Friday Center & Davis Library.

Fees

    NCDS Member
  • Registration Fee $600
  • Early Registration Discounted Fee (by April 28) $500
    Other (Non-member)
  • Registration Fee $700
  • Early Registration Discounted Fee (by April 28) $600
If you have questions, please contact Jill_Stevens@unc.edu.
Davis 247
June 23, 2014 9:30 AM - 4:00 PM
June 24, 2014 9:30 AM - 4:00 PM

Managing Big Data

Arcot Rajasekar
We use Google to search and discover interesting topics, Facebook to get in touch with friends and family, LinkedIn to keep up with our professional contacts, Twitter to share our thoughts and to follow world events, and Amazon to buy books and stuff. But do we know how these large-scale, information-rich web-oriented services provide us with information within seconds? Do they use conventional databases such as relational databases? Do they store and retrieve their information in folders and files as we do on our desktops? Do they use traditional indexing schemes and information retrieval methods to discover relevant concepts? How can we automate the management of exponentially growing data, information, and knowledge? These are the emerging concepts that the next generation information managers needs to know -- cutting-edge technologies that play a vital role in dealing with our internetworked personal, social, and professional lives. These applications are highly data-intensive and management of these systems differs greatly from traditional relational database and file systems.

This course provides an introduction to concepts in NoSQL, a paradigm shift from traditional database management systems, and concepts in policy-based management of distributed data systems, an automation necessary for dealing with sharing data now and preserving it for the future. We will discuss examples from several enterprise and open source systems and provide hands-on experience in policy-based big data management.

To register, click here.

Fees

    NCDS Member
  • Registration Fee $600
  • Early Registration Discounted Fee (by April 28) $500
    Other (Non-member)
  • Registration Fee $700
  • Early Registration Discounted Fee (by April 28) $600
For a list of NCDS members, please go here.

If you have questions, please contact Jill_Stevens@unc.edu.


Davis 219
June 23, 2014 9:30 AM - 4:00 PM
June 24, 2014 9:30 AM - 4:00 PM

Social Network Analysis: Description and Inference

Bruce Desmarais
This course will provide an introduction to descriptive and inferential network analysis. On day one we will cover descriptive network analysis, including: terminology, data collection/storage, position (e.g., centrality) analysis, visualization, and community detection. On day two we will cover statistical network analysis. Random graph statistical models can be used to statistically study network structure and answer questions such as: Does gender, race, or salary predict tie formation in a network? Does the network exhibit significant clustering? We will cover both empirical analysis and network simulation using random graph models. Real-world network data and R code will be provided. Approximately half of the time will be devoted to hands-on lab sessions. There are no formal prerequisites for the course, but a background in basic statistical analysis (e.g., regression) will be useful.

To register, click here.

Location: Friday Center & Davis Library.

Fees

    NCDS Member
  • Registration Fee $600
  • Early Registration Discounted Fee (by April 28) $500
    Other (Non-member)
  • Registration Fee $700
  • Early Registration Discounted Fee (by April 28) $600
For a list of NCDS members, please go here.

If you have questions, please contact Jill_Stevens@unc.edu.


Davis 3010
June 23, 2014 9:30 AM - 4:00 PM
June 24, 2014 9:30 AM - 4:00 PM

Data Studies Using SAS

Chris Wiesen
This hands-on course introduces the fundamentals of SAS programming. Participants will learn how to plan and write simple SAS programs to solve common data analysis problems, create simple list reports, define new data columns (variables), and execute conditional code.

To register, click here. Location: Davis Library.

    Fees

      NCDS Member
    • Registration Fee $300
    • Early Registration Discounted Fee (by April 28) $250
      Other (Non-member)
    • Registration Fee $350
    • Early Registration Discounted Fee (by April 28) $300

    If you have questions, please contact Jill_Stevens@unc.edu.
    Davis 247
    June 25, 2014 9:30 AM - 4:00 PM

    Hadoop for Huge Data Sets

    Erik Scott
    Data sets continue to grow, seemingly without bound. Hadoop is a framework for dealing with these growing “monsters,” which may include a mixture of complex and structured data. Created at Yahoo from work originally done by Google, Hadoop combines a fast filesystem with a surprisingly simple way to write massive parallel programs that run quickly. It is used in situations where researchers and information specialists would like to run analytics that are computationally extensive. Built on top of its core capabilities are the Pig and Hive database packages, tools which make it feasible to work with trillions of rows. This course will cover installation and use of Hadoop's filesystem, writing parallel programs (using the Map/Reduce paradigm), and the relational algebra and database capabilities of Pig and Hive. The session will include both lecture and in-class exercises.

    To register, click here.

    Fees

      NCDS Member
    • Registration Fee $300
    • Early Registration Discounted Fee (by April 28) $250
      Other (Non-member)
    • Registration Fee $350
    • Early Registration Discounted Fee (by April 28) $300

    For a list of NCDS members, please go here.

    If you have questions, please contact Jill_Stevens@unc.edu.


    Davis 219
    June 25, 2014 9:30 AM - 4:00 PM

    Large-Scale Data Networks

    Manny Aparicio
    This course will begin with a survey of cognitive computing to address the growing analytic challenges of large-scale data that tend to represent complex and diverse networks of people, places, and things. We will discuss new representations, such as graph databases and associative memories, and new statistical methods, such as lazy learning and algorithmic modeling, different from traditional databases and data modeling. Cross-industry applications will be highlighted, with exercises in data-to-knowledge transformations, including hands-on demonstrations of network analytics for sense-making and predictive/anticipatory analytics for decision making. There are no pre-requisites, but familiarity with data representations and advanced data analysis is suggested. Suggested searches: cognitive computing, graph databases, semantic networks, link analysis, network analysis, entity network analytics, lazy learning, memory-based reasoning, associative memory base, algorithmic modeling, information distance, predictive analytics, anticipatory analytics.

    To register, click here.

    Fees

      NCDS Member
    • Registration Fee $300
    • Early Registration Discounted Fee (by April 28) $250
      Other (Non-member)
    • Registration Fee $350
    • Early Registration Discounted Fee (by April 28) $300

    For a list of NCDS members, please go here.

    If you have questions, please contact Jill_Stevens@unc.edu.
    Davis 3010
    June 25, 2014 9:30 AM - 4:00 PM

    Introduction to Data Visualization

    Rachael Brady
    Visualization is the act of mapping data elements to visual elements for the purpose of data inspection, validation, comparison, and communication. This course will provide students the knowledge to make effective visualizations based on human perception, data type, the audience, and the purpose of the visualization. Specific topics include visualization of multivariate data, projection methods for high dimensional data, network visualization, text visualization, and map-based visualization methods. The combination of visual representations and user interaction provides a powerful tool for data analysis and action-driven displays. This course will emphasize web-based displays using java script and d3. It will include a hands-on lab component.

    To register, click here.

    Location: Friday Center & Davis Library.

    Fees

      NCDS Member
    • Registration Fee $600
    • Early Registration Discounted Fee (by April 28) $500
      Other (Non-member)
    • Registration Fee $700
    • Early Registration Discounted Fee (by April 28) $600
    If you have questions, please contact Jill_Stevens@unc.edu.


    Davis 219
    June 26, 2014 9:30 AM - 4:00 PM
    June 27, 2014 9:30 AM - 4:00 PM

    Introduction to Machine Learning

    Sayan Mukherjee
    This short course will cover basic ideas and methods in machine learning and data mining with applications to data analytics. Topics covered will include visualization of high-dimensional data, classification and regression models, methods for clustering data, variable selection, and text/document mining tools. The focus in the lectures will be on general concepts and principles illustrated by applied examples. The lab component will offer hands on programming in R for data analysis of real world problems in social sciences, business and health applications. The lecture notes will include extra worked examples and tutorials with data and scripts that can be used outside the class.

    To register, click here. Location: Friday Center & Davis Library.

    Fees

      NCDS Member
    • Registration Fee $600
    • Early Registration Discounted Fee (by April 28) $500
      Other (Non-member)
    • Registration Fee $700
    • Early Registration Discounted Fee (by April 28) $600
    For a list of NCDS members, please go here.

    If you have questions, please contact Jill_Stevens@unc.edu.


    Davis 247
    June 26, 2014 9:30 AM - 4:00 PM
    June 27, 2014 9:30 AM - 4:00 PM

    Predictive Analysis

    Phil Schrodt
    Predictive analysis exploits patterns found in transactional and other data to identify risks and opportunities. It is used in actuarial science, marketing, financial services, telecommunications, retail, travel, healthcare, pharmaceuticals and other fields. This course will discuss a number of statistical and machine learning methods that have been used for forecasting social and economic time series, that is, a sequence of data points measured typically at successive points at uniform time intervals. The statistical methods will focus on classical time series analysis, with particular attention to generating robust models. The machine learning methods will focus on how a variety of “big data” approaches originally developed for cross-sectional analysis can be adapted to forecasting. While the course will primarily focus on methodology, it will also consider the work of Daniel Kahneman, Philip Tetlock, Nassim Taleb, and others on the difficulties in qualitative forecasting, as well as limits to forecast accuracy.

    To register, click here. Location: Friday Center & Davis Library.

    Fees

      NCDS Member
    • Registration Fee $600
    • Early Registration Discounted Fee (by April 28) $500
      Other (Non-member)
    • Registration Fee $700
    • Early Registration Discounted Fee (by April 28) $600
    For a list of NCDS members, please go here.

    If you have questions, please contact Jill_Stevens@unc.edu.
    Davis 3010
    June 26, 2014 9:30 AM - 4:00 PM
    June 27, 2014 9:30 AM - 4:00 PM

    Bayesian Analysis

    Jeff Harden
    Prerequisite
    Prior training in maximum likelihood estimation. At least introductory knowledge of R preferred.

    Course Description
    The course will be an introduction to Bayesian statistics. We will meet for three full days, with morning and afternoon sessions of 2.5-3 hours. We will focus on the two complementary goals of learning the theory behind Bayesian inference as well as practical implementation in R. Students will walk away from the course with an understanding of how to apply Bayesian models and what is going on “under the hood” with their results. Class time will be spent in lecture and working hands-on with example data in R.

    Course Benefits
    Upon completion of the course, students will have enough knowledge to use Bayesian methods in their own research. This new skillset will broaden the scope of research questions they can seek to answer, expand their ability to conduct inference to answer those questions, and make presentations of their research (such as in job talks) more compelling to hiring departments.

    Course Schedule
    Day 1
    Morning: Introduction; Probability Review; The Logic of Bayesian Inference
    Afternoon: Prior Information and Prior Distributions

    Day 2
    Morning: Model Checking and Diagnostics; Model Comparison Afternoon: Markov-chain Monte Carlo (MCMC) Theory; Simulation-Based Inference

    Day 3
    Morning: Hierarchical Bayesian Models
    Afternoon: Estimating, Summarizing, and Presenting Bayesian Models in R

    Fees:

    UNC Students: $525

    Other: $690

    To register, click here.

    If you have questions, please contact Jill_Stevens@unc.edu.
    Davis 219
    July 28, 2014 9:00 AM - 5:00 PM
    July 29, 2014 9:00 AM - 5:00 PM
    July 30, 2014 9:00 AM - 5:00 PM

    Spatial Analysis

    QGIS

    Scott Madry
    This will be the first of two, 2-hour hands-on workshops using the QGIS and GRASS open source GIS packages. 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, and includes vector, raster, georegistration, cartographic production and other capabilities, all using ESRI shapefiles as the basic data structure. There is no fee for this course. Registration is not required.
    Davis 247
    May 05, 2014 2:00 PM - 4:00 PM

    GRASS GIS

    Scott Madry
    The second 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. In the second hour we will use GRASS in its stand-alone configuration. Extensive, hands-on exercises that can be continued after the workshops will be made available, as well as information on how to download the software and training datasets, and other resources. Registration is not required.
    Davis 247
    May 07, 2014 2:00 PM - 4:00 PM

    Survey Research

    Designing Multi-Item Scales

    Robert Devellis
    This course provides in 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 also be encouraged to suggest content areas for discussion. After a brief theoretical introduction, we will turn to practical issues such as when a multi-item scale is (or isn’t) appropriate, determining the number and content of items in the scale, what type and how many response options should be offered, whether scales should include both “negative” and “positive” items, whether the parts of a subscale should be grouped or scattered, and other common concerns in scale development. Dr. DeVellis will use real-life examples to demonstrate the scale development process. There will be ample opportunity for questions and discussion. This course will count as 4.0 CPSM short course credit hours.
    Davis 219
    9/4/14

    The Analysis of Cluster Correlated Data

    Georgiy Bobashev
    This short course is aimed at the audience of statisticians and analysts who have to analyze data with cluster-correlated outcomes. The course will describe complex concepts such as GEE and HLM in plain terms with simple examples (e.g., based on three observations), and provide intuitive understanding of the basics principles behind the methods for analyzing correlated continuous and categorical (mostly binary) data. The course will explain the difference between population averaged and cluster-specific (hierarchical) models and the basics of generalized estimating equation (GEE) methods. The definition of clusters is very broad and covers primary sampling units such as neighborhoods, schools, hospitals, as well as individuals when multiple measures are taken for the same individual or entity.
    The course assumes that the students are familiar with the basics of statistical analysis (e.g., general concepts of maximum likelihood, weighted vs. unweighted estimates). Because of the time limitation we will not discuss specific software code. This course will count as 7.0 CPSM short course credit hours.
    Davis 219
    9/18/14 9am-5pm

    Inferential Issues in Web Surveys

    Mick Couper
    There are many different ways that samples can be obtained for online surveys. These include open invitation surveys of volunteers, intercept surveys, opt-in or access panels, Amazon’s Mechanical Turk, Google Consumer Surveys, list-based samples, and the like. In most cases, the goal is to make inference to some large population. The different approaches to selecting samples and inviting respondents to complete a survey vary in their inferential properties. Threats to inference include sampling error, coverage error, and nonresponse error. In addition to selection methods, a variety of adjustment methods, such as weighting, propensity score adjustment and matching, are being used to mitigate the risk of inferential errors. The course will focus on the assumptions behind the different approaches to inference in Web surveys, the benefits and risks inherent in the different approaches, and the appropriate use of a particular approach to sample selection in Web surveys. The course has a conceptual rather than statistical focus, but a basic understanding of statistics will be helpful. This course is suitable for people who are considering conducting a Web survey for data collection or analyzing data from an existing Web survey. This course will count as 7.0 CPSM short course credit hours.
    Davis 219
    10/30/14 9am - 5 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. This course will count as 7.0 CPSM short course credit hours.
    Davis 219
    11/5/14 9am-5pm

    Introduction to Survey Management

    Lisa Thaljii
    This course will focus on the application of project management principles and techniques to the management of survey research projects. At the conclusion of the course participants will have a basic understanding of:
    * The principles of project management as applied to survey research
    * How to plan a survey project
    * How to implement the plan and manage the work
    * How to manage the project budget
    * How to manage the project contract

    The course will cover a broad range of survey management topics, including: proposal preparation, Work Breakdown Structures, Gantt charts, organization charts, staffing, budgeting, management tools to monitor the work, earned value analysis, and types of survey contracts. Course participants will receive a workbook containing all material presented in class. This course will count as 7.0 CPSM short course credit hours.
    Davis 219
    11/20/14 9am - 5pm

    Other

    Agent-based Modeling

    Todd BenDor

    This course offers an introduction to a new analytical method of agent-based modeling. It provides an easy way for the beginner to translate research goals into a dynamic model in simulation form. This course offers a step-by step, hands-on, interactive approach to conceptualizing, creating, implementing, and analyzing policy/political science simulation models. This analytical tool can be used in addition to traditional triangulation strategies to operationalize quantitative and qualitative variables (or a combination of both) into a simulation.

    $30, UNC Students
    $40, UNC Faculty/Staff
    $60, Other
    To register, click here.
    Davis 3010
    April 30, 2014 10:00 AM - 4:00 PM

    Network Analysis: Statistical Inference with Exponential Random Graph Models

    Bruce Desmarais
    Network Analysis: Statistical Inference with Exponential Random Graph Models Exponential random graph models (ERGMs) are flexible statistical models for relational (i.e., network) data that are capable of representing and identifying an extensive range of interdependencies common in networks. Are gender, race or social class predictive of mixing patterns in a social network? Are ties in a directed network typically reciprocated? Does the network exhibit transitive triad closure? The simultaneous and stochastic manifestation of relational dependencies such as these can be identified and characterized with ERGMs. This workshop will introduce ERGM and demonstrate its application in the free and open source R statistical software. Participants will be provided with real-world network data as well as R code to apply ERGMs to that data.

    Prerequisites for this course include a background in basic network analysis concepts and novice experience with the R statistical software. To register, click here.

    Fee:

    Student: $30

    Staff/Faculty: $60


    3010 Davis Library
    May 08, 2014 10:00 AM - 4:00 PM

    Social Network Analysis

    Doug Steinley, Missouri
    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.

    The course runs from 9 a.m. to 5 p.m. Monday-Friday with a break for lunch.

    For registration details, click here.
    Davis 247
    August 04, 2014 8:30 AM - 5:00 PM
    August 05, 2014 9:00 AM - 5:00 PM
    August 06, 2014 9:00 AM - 5:00 PM
    August 07, 2014 9:00 AM - 5:00 PM
    August 08, 2014 9:00 AM - 5:00 PM