Kelly Laurila, Research Scientist

(Recorded on Oct. 19, 2021)
An introduction to program evaluation, evaluator competencies, types of evaluation, elements of an evaluation plan, logic model design, developing SMART objectives, evaluation data sources, and implementation of an evaluation plan. 

Michael Patton, author and former president of the American Evaluation Association

(Recorded on March 31, 2020)
MQP, as he is known, is former president of the American Evaluation Association and recipient of its top awards. In addition to his well-known evaluation books, Utilization-Focused Evaluation, Qualitative Research & Evaluation Methods, Developmental Evaluation, and Principles-Focused Evaluation, he is an avid Grand Canyon hiker and author of Grand Canyon Celebration: A Father-Son Journey of Discovery. In this webinar, he uses the Grand Canyon to illustrate the premises and principles from his new book.

(Recorded November 7th, 2024)

NIH is adopting the Biographical Sketch Common Form and the Current and Pending (Other) Support Common Form in 2025 as per the White House Office of Science and Technology Policy (OSTP) memorandum on Policy Regarding Use of Common Disclosure Forms for applications and Research Performance Progress Reports (RPPRs) effective for application due dates and report submission dates on or after May 25, 2025.

To prepare NAU PIs for this upcoming change, representatives from the Office of Sponsored Projects will guide you through these new processes, most of which are intuitive to navigate through. We will be available to show you:

• Science Experts Network Curriculum Vitae (SciENcv).
  • SciENcv is a researcher profile system for all individuals who apply for, receive, or are associated with research investments from federal agencies.
  • You will be required to use SciENcv to complete Common Forms (i.e., Biographical Sketch, Current and Pending (Other) Support) and the NIH Biographical Sketch Supplement to produce digitally certified PDF(s) for use in application submission.
  • RECOMMENDATION: Review SciENcv in advance.
• ORCID ID.
  • ORCID is a free, unique, persistent identifier (PID) for individuals to use as they engage in research, scholarship, and innovation activities.
  • All senior/key personnel listed on an application for a due date on or after May 25, 2025, must have an ORCID ID and the ID must be linked to their eRA Commons Personal Profile.
    • See ORCID ID topic in the eRA Commons online help.
  • You will be required to enter your ORCID ID in the Persistent Identifier (PI) section of the Common Forms.
  • RECOMMENDATION: Register yourself for an ORCID ID asap
• eRA Commons
  • eRA Commons (https://public.era.nih.gov/commons/) is an online interface where grant applicants, recipients, and federal staff at NIH and grantor agencies can access and share administrative information relating to research grants (see eRA Commons overview).
  • You will need to create an eRA Commons account to submit and review any NIH proposals.
  • RECOMMENDATION: Register yourself in eRA Commons asap

(Recorded October 18th, 2024)

Rachel Anderson, IRB Administrator in NAU’s Human Research Protection Program Office, provides a demonstration of assembling a new project in IRBNet for submission to the NAU IRB and explain the stages of the review process once a project has been submitted.

Sarah Lipsey, NAU Information Systems Training Specialist

(Recorded on March 5, 2020, in the ARD Large Pod)
Through this one-hour training, viewers learn to use Microsoft Teams––a “unified communication and collaboration platform for file storage, application integration, video meetings and workplace chat.”
Sarah Lipsey is a staff specialist for Information Systems Training in the NAU Department of Strategic Planning, Implementation and Education Services.

Toby Hocking, Assistant Professor, School of Informatics, Computing and Cyber Systems

(Recorded on Sept. 24, 2021)
This workshop, Dr. Hocking introduces: resources at NAU related to computational research projects; the research expertise of the SICCS faculty; the NAU super-computer Monsoon; how to run Python and R programs on it; and Cyverse, which provides a graphical web interface to several data analysis programs.

William Wilson, Senior Systems Administrator,  Academic and Research Technology Services

(Recorded on August 19, 2019, in the ARD Large Pod)
This workshop with William Wilson reviews ADAMS, RIC’s secure data analysis server, and also Research Electronic Data Capture (REDCap). REDCap is a web-based application developed by Vanderbilt University to capture data for clinical research and create databases and projects.

Linda Silka, Senior Fellow, Senator George J. Mitchell Center for Sustainability Solutions, University of Maine

(Recorded on April 7, 2020)
This webinar describes exciting new approaches to use citizen science and community-based participatory research to solve problems together. Using examples from the presenter’s experience collaborating with refugee and immigrant communities, Latino communities, and rural communities, the webinar describes 10 puzzles and challenges and how they can be addressed through
citizen science and community-based participatory research.

Lisa Hardy, Assistant Professor, Department of Anthropology

(Recorded on May 7, 2019 in the ARD Large Pod)

This workshop on Community-based Participatory Research (CBPR) offers an approach to research and practice that has shown successful results in health-related projects. This approach takes time, trial and error, and flexibility to implement well. There is no cookbook for CBPR.
In this workshop, Hardy covers the foundational principles that underlie CBPR and other community engaged strategies, examples of projects that use a CBPR framework, lessons learned from failed CBPR efforts, and scenarios for participants to think through how a CBPR approach differs from other research strategies.

Recorded October 9th, 2023

As the 2023 NIH data sharing requirements show, good data management plans (DMP) are increasingly important to funders as they screen grant applications. This workshop will explain why data management planning is important, how to use the DMPTool (dmptool.org) to create your own DMP and highlight key considerations to make when creating a DMP.

Brittany Blanchard and Pamela Buzzard, Cline Librarians

(Recorded on March 17, 2021)
Are you required by your funder to submit a DMP but aren’t sure what is needed? In this workshop, Brittany Blanchard and Pamela Buzzard will cover the basics of data management, why it is important to create and follow a DMP, and ways the library can help. There will be a specific focus on NIH and NSF requirements.

David Faguy, Associate Vice President, Research, Office of Research Compliance

(Recorded on July 1, 2021)
This interactive seminar will review definitions and common terms, then explore the general rules and standards of appropriate data management in accordance with sponsors, NAU, human subjects, clinical trials or other regulatory authorities. Dr. Faguy will apply these  standards to hypothetical projects at NAU.

Recorded November 3rd, 2023

A Workshop on identifying your audience and communicating science through various media outlets. Lisa Hardy, PhD, MA, is a professor of medical anthropology at NAU and founding director of the Social Science Community Engagement Lab, and editor of Practicing Anthropology. Her new book, Community Engagement Through Collaborative Writing: Storytelling Together guides this workshop. Dr. Hardy’s collaborative public scholarship appears in Vox, The Conversation, STATNews, and elsewhere.

Lisa Hardy, Professor, Department of Anthropology

(Recorded on March 5, 2022)

This workshop introduces strategies for bringing research to public audiences. Participants will be guided through a series of practical steps to develop stories for publication in multiple media. A facilitated discussion and practical tools will provide plans for identifying intended audiences and outlets and drafting pitches for publication.

Carly Camplain, Attorney, Senior Program Coordinator, CHER, NAU doctoral student in Interdisciplinary Health

(Recorded on February 18, 2020, in the ARD Large Pod)
Through this workshop, viewers develop an understanding of legal epidemiology and learn how to conduct policy surveillance and legal assessments, methodologies to carry out legal epidemiology, primary steps in conceptualizing a legal epidemiology project, and how to conduct an evaluation using legal data.
This workshop will use hands-on exercises to introduce the legal epidemiology process and will include a question and answer session about participants’ research.

with Kathryn Claypool

February 10, noon–2 p.m.
Online

Access Arizona Department of Health Services (ADHS) health data through an honest broker for use in health research. Learn about how an honest broker can provide your research team with de-identified health data, acting as a mechanism of compliance for responsible research. Kathryn Claypool is a Research Data Manager at Arizona State University and Health Informatics Expert. She introduces how researchers connect with honest brokers and the process of requesting ADHS health data access.

Dr. Timothy Flood, chair of the BPHS

(Recorded on Aug. 14, 2018 in the ARD Large Pod)

In this presentation, Tim Flood, chair of the BPHS, discusses the implementation of the ADHS-NAU MOU on data sharing and the ADHS Human Subjects Review, and Rob Bailey, bureau chief of BPHS, gives a bureau overview. Dianna Contreras, manager of the Arizona Birth Defects Monitoring Program, presents an overview of 3 program components: surveillance, prevention of BDs, and assuring referral of babies to services. Georgia Yee, chief of the Office of Health Registries gives an office overview of the Arizona Cancer Registry surveillance and research. Flood also explores the concerns about data use.

Recorded January 26, 2024

An introduction to All of Us platform and data sets. Beginning with setting up an account, Dr. Roy will present the organization of the platform and describe the strengths of using the data and why it is superior to other health data sets. Then she will discuss examples of studies that have used the data and funding opportunities. This workshop is one of a two-part series, to be followed by a workshop discussing executing projects with the All of Us data.

Recorded February 9th

The second in a two-part series for which attendees need an All of Us account to follow Dr. Folch’s workshop. There will be a walk-through of the technical aspects of using the data. He will discuss beginning a project and creating a workspace. He will also share examples of R and Python code used in Projects. This workshop is a dive into the execution of projects using All of Us datasets.

Niki Lajevardi-Khosh, Health Educator, Office of Environmental Health
Arizona Department of Health Services

(Recorded on Aug. 31, 2021)
The Arizona Department of Health Services (ADHS) is one of the Centers for Disease Control and Prevention (CDC) Environmental Public Health Tracking Network (EPHTN) grantees.
The ADHS EPHT program collaborates with CDC and local partners to collect and disseminate data related to environmental exposures and health outcomes to improve the data driven decision making process.
This presentation will provide an overview of the EPHT program including a demonstration of how to use the Data Explorer, Quick Reports Tool, applications previously developed for partners, and how the data has been used to address public health challenges.

Allissa Dillman, Workforce Development and Community Engagement Lead
Office of Data Science Strategy, National Institutes of Health

(Recorded on Sept. 16, 2021)
This workshop describes the opportunities to engage in data science at the NIH and the resources available to you including support and participation in codeathons/hackathons, cloud computing via the STRIDES program, and data science and cloud computing training opportunities for you and your students.

Thomas J. Champagne Jr, Associate Vice President of Research

(Recorded on February 3, 2022)

This workshop provides a very basic introduction to RStudio including understanding the interface, how to import and export data, manage data, basic statistics, and simple data visualization techniques. The workshop uses a mock dataset to give hands-on experience with using R-studio. No previous knowledge of R is required. 

Indrakshi Roy, Biostatistician

(Recorded on February 11, 2021)

This workshop will discuss how to choose the appropriate quantitative research design for a study. We will talk about several different quantitative research designs — when and why a design is chosen — identify the design that is most appropriate for our research — justify why it is the best choice.

Meghan Warren, Professor, Department of Physical Therapy, and Monica Lininger, Associate Professor, Department of Physical Therapy and Athletic Training

(Recorded on September 10, 2020)
This workshop will help investigators develop clear research questions, specific aims, and hypotheses prior to implementing a study that allows for execution of the rigorous scientific process.

June 7, 1:00 pm -2:00 pm MST
Online

A workshop introducing the PhenX Toolkit, a web-based catalog of recommended measurement protocols. Attendees will be oriented to the toolkit and have opportunities to ask questions about their specific research. Presenters from the National Institutes of Health, Jyoti Dayal, Project Scientist for PhenX (National Human Genome Research Institute), and Nancy Jones, Supplemental Project Leader (National Institute on Minority Health and Health Disparities) will introduce the various uses and benefits of using the toolkit. The goal of the PhenX program is to identify and catalog high-quality, well-established, and broadly applicable measures for research domains for use in GWA studies and other large-scale genomic and epidemiologic research. Development and adoption of standard phenotypic and exposure measures could facilitate the creation of larger, more comprehensive datasets with a variety of phenotype and exposure data for cross-study analysis, thus increasing statistical power and the ability to detect associations of modest effect sizes and gene-gene and gene-environment interactions.  The Toolkit measures include background information, standard operating procedures, common data elements, controlled vocabularies, a glossary of terms, and standard analytic procedures to harmonize similar measures.  In 2020, the Toolkit added a Social Determinants of Health Collection to facilitate minority health and health disparities research as well.

Julia Gardner, Assistant Clinical Professor, Department of Health Sciences

(Recorded on June 10, 2021)
This workshop covers how to build and run surveys in REDCap based on two examples: a simple survey and a chain of surveys. Participants will learn how to best build surveys and automated invitations. The topics covered are basic survey setup, branching logic, survey distribution, and survey management. The workshop was interactive and participants had the opportunity to practice building a survey in REDCap. 

(Recorded October 11, 2022)

Covidence is software designed for managing and streamlining your systematic review. It can perform the following functions to make review production more efficient: upload search results, screen abstracts and full body text study reports, complete data collection, conduct risk of bias assessment, resolve disagreements, export data into RevMan or Excel. In this session, librarian Pamela Buzzard shows how the software could support your systematic review production and answers questions from researchers.

Mary DeJong, librarian for the College of the Environment, Forestry, and Natural Sciences

(Recorded May 21, 2020)

Additional contributors:

• Pamela Buzzard, librarian for the College of Health and Human Services
• Amy Hughes, librarian for the College of Social and Behavioral Sciences
• Catherine Lockmiller, librarian for the Phoenix Bioscience Core
• Bridget Wipf, librarian for the College of Engineering

This workshop will introduce participants to systematic reviews. DeJong will teach what they are, how they are different from regular review articles, and how to begin planning one. Strategies for executing a thorough search and appropriately documenting a search strategy will also be covered. Most importantly, participants will learn why and when to partner with a librarian to ensure that your review methods are rigorous and meet publication requirements.

Meghan Warren, Professor, Department of Physical Therapy, and Monica Lininger, Associate Professor, Department of Physical Therapy and Athletic Training

(Recorded on September 24, 2020)
After solidifying the research questions, specific aims, and hypotheses, understanding the appropriate research design is the next step in the scientific process. (First watch “What is a Research Question, recorded September 10, 2020) 

Robert T. Trotter III, Regents’ Professor, Department of Anthropology

(Recorded on February 4, 2020, in the ARD Large Pod)
Correctly designed focus group research is a powerful tool. This two-hour introductory workshop explores and explains the 7 critical elements of systematic design and analysis strategies for scientifically defensible focus group data collection.

• • • Theory Supporting Focus Group Design
    • Macro/Micro Elements of Focus Group Question Design
    • Focus Group Management Issues (Avoiding Focus Groups from Hell)
    • Data Collection Processes
    • Data Processing Consideration (Coding, etc.)
    • Data Analysis Strategies
    • Dissemination (and Ethical Considerations)

Regents’ Professor Robert T. Trotter II

(Recorded on January 26, 2021)

This hands-on virtual workshop offers a pragmatic introduction to key design elements for conducting successful focus groups. Topics include exploring decision points for engaging focus group theory, methodology, staffing, sampling, recruitment, question development, data processing and management, analysis software, and successful analytical strategies.

Robert T. Trotter, II Regents’ Professor, Department of Anthropology

(Recorded on Sept. 27, 2021)
This workshop is an introduction to ethnographic research design. The primary topics are: ethnographic theory; ethnographic research question development; recruitment and sampling issues; methods mixtures; personnel skills; and analytical strategies (including software needs).

Robert T. Trotter, II Regents’ Professor, Department of Anthropology

(Recorded on Oct. 11, 2021)
This workshop is an introduction to scientifically defensible rapid ethnographic assessment and evaluation design. It includes: the principles of rapid ethnographic assessment; rapid assessment problem definition; mixed methods design; analysis strategies; and dissemination/impact recommendations.

Robert T. Trotter III, PhD, Regents’ Professor, Department of Anthropology

(Recorded on November 3, 2022)

This workshop covers three models for mixed methods research design. Model 1: Explaining the Numbers. This mode; presents a mixed methods design that focuses on a sequential quantitative-qualitative mixed methods process where the qualitative research is designed to be an enhancement and a translational process for understanding a hypothesis-driven research program. Model 2: Creating questions and tests of hypothesis. Model 3: Balanced or Integrative Mixed Methods Design. This model allows for a longitudinal (iterative) mixed methods design that is valuable for creating and implementing program impact designs.

Heidi A. Wayment, Professor and Chair, Department of Psychological Sciences

(Recorded on March 24, 2022)

Social network analysis (SNA) allows for the examination of how configurations of social networks may influence how individuals and groups function. This presentation will provide a general overview of SNA and why and how it can enhance traditional social science and health-related research. Topics include a review of the basic elements of SNA, examples of its use in social and health-related research, methods for collecting SNA data, and a brief review of additional resources.

Brian Eiler, Postdoctoral Fellow in the NAU Department of Psychological Sciences

(Recorded on Nov. 5, 2018 in the ARD Large Pod)
This workshop introduces network principles and analyses using the programming environment R. Also covered is experimental design, theoretical underpinnings, and visualization techniques. The workshop is interactive and participants practiced a number of skills and have opportunities to develop collaborations with other participants and the facilitator.

Zahra Mojtahedi, Senior Biostatistician, Center for Health Equity Research 

(Recorded October 4th, 2024)

This hands-on workshop explores how ChatGPT can support self-learning in descriptive analysis and T-tests with R. Led by Senior Biostatistician Zahra Mojtahedi from CHER, the session will provide practical guidance on performing statistical analyses, creating, and understanding R codes for descriptive analysis and independent and paired T-tests. Suitable for both beginners and those with more experience, this workshop aims to build confidence and deepen statistical skills with the help of AI.

Participants must have R installed.

Sonya Gupta, Harvard University graduate, holds a master’s degree in Regional Studies with a focus on medicine/public health.

Ryan Zomorrodi, University of Illinois at Chicago graduate student pursuing a master’s degree in Biostatistics with a concentration in Health Analytics.

(Recorded on June 6-7, 2024)

An introduction to GIS using ArcGIS Pro and R. This workshop sets out from the premise that we cannot understand the topics of health and illness by looking only at biological phenomena. Rather we must additionally consider a variety of social, political, economic, and cultural forces that shape health outcomes. Often this entails looking at data in a geospatial manner. Beginning with basic geoprocessing tasks, Sonya Gupta and Ryan Zomorrodi will introduce the core concepts behind GIS analyses and participants will work through interactive sessions where they make their own map products along with the presenters. These workshops will include individual ArcGIS Pro and R sessions going over basic GIS workflows within both environments.

Sonya Gupta graduated from Harvard University with a master’s degree in Regional Studies with a focus on medicine/public health. She graduated from the University of Illinois at Chicago, where she received her Bachelor’s Degrees in Russian Studies and Biological Sciences with a minor in Sociology. During the COVID-19 pandemic, she self-learned GIS to better map Chicago’s health disparities. Realizing its potential to better understand and address health disparities, Sonya co-developed the Geoadvocates workshop series and materials. Sonya is passionate about the intersection of social medicine, health, and environment. In the fall, she will be starting medical school.

Ryan Zomorrodi is a graduate student at the University of Illinois at Chicago pursuing a master’s degree in Biostatistics with a concentration in Health Analytics. He graduated from the University of Illinois at Chicago, where he received his Bachelor’s Degree in Biological Sciences with minors in Public Health and Computer Science. He co-developed GeoAdvocates materials to share his passion for using to better understand health disparities. Ryan also works full time as a GIS Analyst at the Children’s Environmental Health Initiative working on the CDC’s Division for Heart Disease and Stroke Prevention and National Association of Chronic Disease Directors (NACDD) GIS Capacity Building Project.

Christine Kirby, Senior Research Coordinator, Center for Health Equity Research

(Recorded on July 19, 2021)
This workshop offers an introductory workshop for users with little to no ATLAS.ti experience who seek a foundational understanding of the software and its capabilities, interface, features and basic techniques to use the software for analyzing qualitative data.

Toby Hocking, Associate Professor, School of Informatics, Computing and Cyber Systems

(Recorded on February 28, 2022)

Interactive data visualization enables users to directly manipulate and explore graphical representations of data which can be useful for understanding patterns in large data sets, exploratory data analysis, research, and teaching. This tutorial explains how to create animated and interactive data visualizations using the animint2 R package.

Michael Petillo, Senior Research Coordinator

(Recorded on May 9, 2022)

Qualitative data analysis software (QDAS) such as NVivo can assist researchers with coding, organizing, analyzing, visualizing, and storing qualitative data from interviews, focus groups, social media, and more. This workshop provides beginner users with an overview of NVivo features, tools and techniques that can save time and strengthen results.

Recorded August 7th, 2023

This workshop provides a general introduction to the latent variable modeling software platform Mplus (www.statmodel.com). After reviewing data import and file management procedures, a detailed description of the specification syntax is provided, which is complemented by a pair of worked examples demonstrating simple mediation analysis using observed and latent variables. Procedures for obtaining tests of the indirect effect are illustrated using maximum likelihood estimation with non-parametric bootstrapping, as well as Bayesian MCMC estimation. Finally, a power analysis for the aforementioned mediational models is provided in order to demonstrate the Monte Carlo simulation features available in Mplus.

Indrakshi Roy, Biostatistician, Center for Health Equity Research

(Recorded on February 9, 2022)

During this 90-minute session, representatives from NAU’s Office of Sponsored Programs guide participants through the key fundamentals of pre- and post-award management. The group will explore how grants and contracts are identified, pursued, negotiated, awarded, and compliantly managed. Along the way, the group emphasizes key points of partnership, faculty service, and how faculty and staff play a key role in the overall process. Along with comprehensive visual materials, a Q&A session keeps the session interesting and engaging.

David Folch, PhD, Assistant Professor, Geography, Planning and Recreation

(Recorded on May 19, 2022)

Python is a general purpose programming language that has become one of the leading languages in the data science, data analytics and data management fields due to its straightforward syntax, interactive design and free availability. This workshop provides an introduction to Python and a hands-on lab where participants learn how to perform basic data manipulation, visualization, and statistical tasks.

Ricky Camplain, PhD, Assistant Professor, Center for Health Equity Research and Department of Health Sciences

(Recorded on June 1, 2022)

SAS continues to be the standard data management and statistical analysis software for the biomedical and public health sciences, including public health departments and clinical and research health sciences university departments. This workshop will demonstrate access to and major features of SAS Software, including reading in datasets, data management basics (e.g., recoding, merging, combining datasets), and basic statistics. Ahead of the workshop: Access apps.nau.edu, go to the Mathematics and Statistics Folder and find the SAS app icon.  

Monica Lininger, PhD, Associate Professor, Athletic Training Program
Michael Petillo, Senior Research Coordinator

(Recorded on June 9, 2022)

Are you new to SPSS or do you need a refresher? This interactive workshop explores key features of Statistical Package for the Social Sciences (SPSS), a Windows-based predictive analytic software that can be used for a range of statistical analyses, data management, and quantitative reporting. Using a sample data set, we’ll practice using the software for data cleaning, descriptive statistics, correlational analysis, graphical representations, and SPSS research. SPSS is available through NAU Information Technology Services; download the software prior to the workshop.  

Catherine Propper, PhD, Professor, Department of Biological Sciences

(Recorded on July 12, 2022)

If you want to develop your statistical skills but are intimidated by programming-based tools like R, JMP is an intuitive SAS-based program that allows you to conduct powerful statistical analysis even if you are not a programming guru. This hands-on workshop will offer basic analysis tools for data cleaning, descriptive statistics, correlation analysis and graphical representation of your data. JMP is available through apps.nau.edu or through NAU ITS. Participants should download the software or become familiar with accessing the program through apps.nau.edu.

Indrakshi Roy, PhD, Biostatistician, Center for Health Equity Research

(Recorded July 21, 2022)

This workshop is designed to provide a very basic introduction to RStudio (understanding the interface, how to import and export data, manage data, and basic statistics). The workshop aims to explain in simple terms, the basic terminologies in R. Simple data visualizations will be covered. A mock dataset is used to give hands-on experience with using R-studio functions. No previous knowledge of R is required.

Catherine Propper, PhD, Professor, Department of Biological Sciences

(Recorded September 27, 2022)

This workshop demonstrates some of the analysis frameworks within the JMP statistical platform. It covers how to set up your data for t-tests, one-way and two-way ANOVA’s or Kruskal Wallis tests. It is recommended that the JMP into Stats workshop be viewed prior to the intermediate-level workshop. Both workshops follow a similar framework of hypothesis testing and examining results to evaluate outcomes.

Monica Lininger, PhD, Associate Professor, Athletic Training Program

(Recorded October 4, 2022)

Have you attended an introductory workshop on SPSS and need the next level of instruction? This interactive workshop provides instruction for inferential statistics including t-tests, ANOVAs, and chi-squares using SPSS. SPSS is available though NAU ITS; participants should download the software prior to viewing. This workshop is designed to follow viewing the Introduction to SPSS workshop.

Indrakshi Roy, Biostatistician, Center for Health Equity Research

(Recorded October 20, 2022)

This interactive workshop provides instruction for inferential statistics including t-tests, ANOVAs, chi-squares using R. R is a free statistical software; participants should download the software prior to viewing. Participants should also review the Introduction to R recording prior to viewing.

Monica Lininger, Associate Professor, Department of Physical Therapy and Athletic Training

(Recorded on July 15, 2020)

This workshop  demonstrates access to and major features of SPSS, including simple graphic construction. By the end of the workshop participants should have the basic skills to understand how to input data for initial data cleaning, evaluate basic descriptive statistics, and create graphical representations of their data using this statistical platform.

Meghan Warren, Professor, Department of Physical Therapy

(Recorded on July 29, 2020)
This workshop by Meghan Warren, professor in the Department of Physical Therapy and Athletic Training, will demonstrate access to and major features of SAS Software, including reading in datasets, basics of data management (e.g., recoding, merging, combining datasets), measures of central tendency and frequencies. SAS continues to be the standard data management and statistical analysis software for the biomedical sciences, including public health departments, and clinical and health sciences university departments.

Viacheslav “Slava” Fofanov, Associate Director for Research and Graduate Programs, School of Informatics, Computing, and Cyber Systems (SICCS)

(Recorded on Aug. 25, 2020)
This workshop explores the R language and the R-Studio environment for statistical computing at an intermediate level. With this program participants can generate publication-ready graphics and perform both the basic and the state-of-the-art statistical analyses. 

David Folch, Assistant Professor, Department of Geography, Planning and Recreation

(Recorded on  December 3, 2020)
This workshop introduces core concepts in organizing, analyzing and presenting spatial data. Folch demonstrates how to get started using these tools in a variety of environments, including ArcGIS Pro (Windows desktop), QGIS (Mac, Linux, Windows desktop), QGIS (Mac, Linux, Windows desktop) and at the command line (Python and R). 

David Folch, Assistant Professor, Department of Geography, Planning and Recreation

(Recorded on  January 15, 2021)
This hands-on virtual workshop  introduces participants to GIS and spatial analysis techniques using the ArcGIS Pro desktop software package. Participants will learn how to load and manipulate spatial data, analyze data and create maps for
presentation.

This workshop uses NAU’s remote desktop, so no GIS software installation is necessary to participate. This hands-on virtual workshop will introduce participants to GIS and spatial analysis techniques using the R statistical programming language. Participants will learn how to load and manipulate spatial data, analyze data and create maps for presentation.
This workshop assumes participants have R and RStudio already installed on their
computers, and have a basic understanding of the language.

Anita Antoninka, Assistant Research Professor School of Forestry

(Recorded on February 26, 2021)

In this two-hour workshop, Antoninka uses examples to present the principles and rules for SEM, demonstrates a few types of variables and models, as well as the strengths and weaknesses of an SEM approach. The last part of the workshop is hands-on practice building simple models in SPSS AMOS. She provides resources for learning more about SEM and for building models in R.