2023<\/h3>\n\n\n \n \n Data Management Plans with Brittany Blanchard Accordion Closed<\/span><\/h4>\n <\/span>\n <\/div>\n <\/a>\n \n \n\nOctober 9th, 12 pm – 2 pm<\/p>\n
Online<\/p>\n
As the 2023 NIH data sharing requirements show, good data management plans (DMP) are increasingly important to funders as they screen grant application. This workshop will explain why data management planning is important, how to use the DMPTool (dmptool.org<\/a>) to create your own DMP and highlight key considerations to make when creating a DMP.<\/p>\n\n- Recorded Presentation<\/a><\/li>\n<\/ul>\n<\/body><\/html>\n\n <\/div>\n<\/div>\n\n\n\n \n \n
Introduction to Mplus software: A flexible and powerful latent variable modeling platform with Robert Wickham Accordion Closed<\/span><\/h4>\n <\/span>\n <\/div>\n <\/a>\n \n \n\nRecorded August 7th, 2023<\/p>\n
This workshop provides a general introduction to the latent variable modeling software platform Mplus (www.statmodel.com<\/a>). 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.<\/p>\n\n- Recorded Presentation<\/a><\/li>\n<\/ul>\n<\/body><\/html>\n\n <\/div>\n<\/div>\n\n\n\n \n \n
Using the PhenX Toolkit with Nancy Jones and Jyoti Dayal Accordion Closed<\/span><\/h4>\n <\/span>\n <\/div>\n <\/a>\n \n \n\nJune 7th, 1 pm – 2 pm
\nOnline<\/p>\n
A workshop introducing the PhenX Toolkit, a web-based catalog of recommended measurement protocols. 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. 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.<\/p>\n
\n- Recorded Presentation<\/a><\/li>\n<\/ul>\n<\/body><\/html>\n\n <\/div>\n<\/div>\n\n\n\n \n \n
ADHS Health Database: Using the Honest Broker System with Kathryn Claypool Accordion Closed<\/span><\/h4>\n <\/span>\n <\/div>\n <\/a>\n \n \n\nFebruary 10, noon–2 p.m.
\nOnline<\/p>\n
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.<\/p>\n
\n- Recorded Presentation<\/a><\/li>\n<\/ul>\n<\/body><\/html>\n\n <\/div>\n<\/div>\n\n\n\n \n \n
Scholarly Writing Webinar for NAU (NVivo and Citavi) Accordion Closed<\/span><\/h4>\n <\/span>\n <\/div>\n <\/a>\n \n \n\nJanuary 25th, 12:00 pm MST
\nOnline<\/p>\n
The free webinar on how the power of NVivo<\/a> & Citavi<\/a> together can assist with your writing will cover:
\n• Review of Literature: Easily search databases and websites for references to include in your project
\n• Pre-Writing: Efficiently organize and annotate literature, highlight critical quotes, comments, and ideas across many articles, while developing a detailed outline
\n• Writing: Export your outline with the content you highlighted into a Word document in seconds taking you from first draft to final publication
\n• Revise & Edit: With Word integration, organize content and manage citations, plus references seamlessly
\n• Publish: Speed up the writing process to help you publish faster and more often
\n• Collaborate: Enable research groups of any size to work together – worldwide<\/p>\n<\/body><\/html>\n\n <\/div>\n<\/div>\n\n <\/p>\n
2022<\/h3>\n\n\n \n \n Navigating the Mix of Mixed Methods Projects Accordion Closed<\/span><\/h4>\n <\/span>\n <\/div>\n <\/a>\n \n \n\nRobert T. Trotter III, PhD, Regents’ Professor, Department of Anthropology<\/strong><\/p>\n(Recorded on November 3, 2022)<\/em><\/p>\nThis 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.<\/p>\n
\n- Recorded Presentation<\/a><\/li>\n<\/ul>\n<\/body><\/html>\n\n <\/div>\n<\/div>\n\n\n\n \n \n
Basic Inferential Statistics Using R Accordion Closed<\/span><\/h4>\n <\/span>\n <\/div>\n <\/a>\n \n \n\nIndrakshi Roy, Biostatistician, Center for Community Health and Engaged Research<\/strong><\/p>\n(Recorded October 20, 2022)<\/em><\/p>\nThis 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.<\/p>\n
\n- Recorded Presentation<\/a><\/li>\n<\/ul>\n<\/body><\/html>\n\n <\/div>\n<\/div>\n\n\n\n \n \n
Intro to Covidence for Systematic Review Management Accordion Closed<\/span><\/h4>\n <\/span>\n <\/div>\n <\/a>\n \n \n\nPamela Buzzard, MILS, Health Sciences Librarian, Cline Library<\/strong><\/p>\n(Recorded October 11, 2022)<\/em><\/p>\nCovidence 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, and 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.<\/p>\n
\n- Recorded Presentation<\/a><\/li>\n<\/ul>\n<\/body><\/html>\n\n <\/div>\n<\/div>\n\n\n \n \n
JMPing to the Next Level: Intermediate Statistical Analysis using the JMP Platform Accordion Closed<\/span><\/h4>\n <\/span>\n <\/div>\n <\/a>\n \n \n\nCatherine Proppoer, PhD, Professor, Department of Biological Sciences<\/strong><\/p>\n(recorded September 27, 2022)<\/em><\/p>\nThis 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<\/em> workshop be viewed prior to the intermediate-level workshop. Both workshops follow a similar framework of hypothesis testing and examining results to evaluate outcomes.<\/p>\n\n- Recorded Presentation<\/a><\/li>\n<\/ul>\n<\/body><\/html>\n\n <\/div>\n<\/div>\n\n\n \n \n
Beginner\u2019s Guide to R Accordion Closed<\/span><\/h4>\n <\/span>\n <\/div>\n <\/a>\n \n \n\nIndrakshi Roy, PhD, Biostatistician, CHER<\/strong><\/p>\n(recorded July 21, 2022)<\/em><\/p>\nThis workshop is designed to provide a very basic introduction to RStudio (understanding the interface and how to import and export data, manage data, and basic statistics). The workshop aims to explain in simple terms, the basic terminologies in R. Some simple visualization techniques in R are covered. This workshop uses a mock dataset to give hands-on experience using RStudio. No previous knowledge of R is required.<\/p>\n
\n- Recorded Presentation<\/a><\/li>\n<\/ul>\n<\/body><\/html>\n\n <\/div>\n<\/div>\n\n\n \n \n
JMP into Stats: An Intuitive Program for Statistical Analysis Accordion Closed<\/span><\/h4>\n <\/span>\n <\/div>\n <\/a>\n \n \n\nCatherine Proppoer, PhD, Professor, Department of Biological Sciences<\/strong><\/p>\n(recorded July 12, 2022)<\/em><\/p>\nIf 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 offers basic analysis tools for data cleaning, descriptive statistics correlational analysis, and geographical representation of your data. JMP is available through apps.nau.edu<\/a> or NAU ITS. Participants should have this downloaded prior to viewing.<\/p>\n\n- Recorded Presentation<\/a><\/li>\n<\/ul>\n<\/body><\/html>\n\n <\/div>\n<\/div>\n\n\n \n \n
Intro to SPSS Accordion Closed<\/span><\/h4>\n <\/span>\n <\/div>\n <\/a>\n \n \n\nMonica Lininger, PhD, Associate Professor, Athletic Training Program
\nMichael Petillo, MA, Research Coordinator, Sr., CHER <\/strong><\/p>\n(recorded June 9, 2022)<\/em><\/p>\nAre you new to SPSS or need a refresher? This interactive workshop will explore 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 analysis, data management, and quantitative reporting. Using a sample data set, participants will practice using the software for data cleaning, descriptive statistics, correlational analysis, graphical representations, and SPSS research. SPSS is available through NAU ITS; download the software prior to viewing.<\/p>\n
\n- Recorded Presentation<\/a><\/li>\n<\/ul>\n<\/body><\/html>\n\n <\/div>\n<\/div>\n\n\n \n \n
Intro to SAS Accordion Closed<\/span><\/h4>\n <\/span>\n <\/div>\n <\/a>\n \n \n\nRicky Camplain, PhD, Assistant Professor, CHER and Department of Health Science<\/strong><\/p>\n(recorded June 1, 2022)<\/em><\/p>\nSAS 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 departments. This workshop will demonstrate access to and major features of SAS Software, including reading in datasets, basics of data management (e.g., recoding, merging, and combining datasets), and basic statistics. Participants should be sure to have access to apps.nau.edu<\/a> >Mathmatics folder >Statistics folder >SAS app.<\/p>\n\n- Recorded Presentation<\/a><\/li>\n<\/ul>\n<\/body><\/html>\n\n <\/div>\n<\/div>\n\n\n \n \n
Intro to Python for Data Analysis Accordion Closed<\/span><\/h4>\n <\/span>\n <\/div>\n <\/a>\n \n \n\nDavid Folch, PhD, Assistant Professor of Geography, Planning, and Recreation<\/strong><\/p>\n(Recorded May 19th)<\/em><\/p>\nPython 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 will learn how to perform basic data manipulation, visualization, and statistical tasks.<\/p>\n
\n- Recorded Presentation<\/a><\/li>\n<\/ul>\n<\/body><\/html>\n\n <\/div>\n<\/div>\n\n\n \n \n
RCC Workshop: Exploring NVivo for Qualitative Data Analysis Accordion Closed<\/span><\/h4>\n <\/span>\n <\/div>\n <\/a>\n \n \n\nMichael Petillo, MA, Research Coordinator, Sr., CHER <\/strong><\/p>\n(Recorded May 9, 2022<\/em>)<\/p>\nQualitative data analysis software (QDAS) such as NVivo can assist researchers with coding, organizing, analyzing, visualizing, and strong 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.<\/p>\n
\n- Recorded Presentation<\/a><\/li>\n<\/ul>\n<\/body><\/html>\n\n <\/div>\n<\/div>\n\n\n \n \n
2022, April 27 Health Justice Futures: Nuestras Historias: Belonging in a Time of Displacement and Immigrant Health Accordion Closed<\/span><\/h4>\n <\/span>\n <\/div>\n <\/a>\n \n \n\n![\"\"](\"https:\/\/legacy.nau.edu\/wp-content\/uploads\/sites\/79\/HJF4-Promo-Poster-rev-04-20-22-480x600.png\")
<\/a>(Recorded on April 27, 2022<\/em>)<\/p>\nGuest: Josue Saldivar<\/strong><\/h5>\nWatch the Health Justice Futures recording Nuestras Historias: Belonging in a Time of Displacement and Immigrant Health<\/a><\/p>\nDuring this event, guest speaker Josue Saldivar discusses how immigrants find a sense of belonging in the arts, using creative writing as a vehicle to explore the intersection of immigration status, race, gender, and sexuality. This session will unpack what it means to live on the borderlines of identity, and how geographical borders and anti-immigration policy impact the wellbeing of immigrant communities in Arizona.<\/p>\n
Josue Saldivar is an immigrant, LGBTQIA+ community organizer, and a DACA recipient from Tucson, Arizona. Josue has used the power of creative writing to tell stories about immigration, gender, and sexuality. Josue is currently a Program Organizer with Borderlinks, an educational nonprofit in Tucson.<\/p>\n<\/body><\/html>\n\n <\/div>\n<\/div>\n\n
\n \n \n RIC Workshop: Introduction to Multilevel Modeling Accordion Closed<\/span><\/h4>\n <\/span>\n <\/div>\n <\/a>\n \n \n\nRobert Wickham, Assistant Professor, Department of Psychological Sciences<\/strong><\/p>\n(Recorded on April 7, 2022)<\/em><\/p>\nThis workshop describes techniques for the analysis of multilevel study designs using mixed effects models. We begin with a general introduction to hierarchically nested data structures, followed by a description of the basic random intercept and random intercept+slope models for 2-level designs. The second portion of the workshop discusses issues related to centering of predictor variables, contextual effect analysis, and cross-level interactions. Worked examples are provided for SAS, SPSS, and R.<\/p>\n
Data Management Plans with Brittany Blanchard Accordion Closed<\/span><\/h4>\n <\/span>\n <\/div>\n <\/a>\n \n \n\nOctober 9th, 12 pm – 2 pm<\/p>\n
Online<\/p>\n
As the 2023 NIH data sharing requirements show, good data management plans (DMP) are increasingly important to funders as they screen grant application. This workshop will explain why data management planning is important, how to use the DMPTool (dmptool.org<\/a>) to create your own DMP and highlight key considerations to make when creating a DMP.<\/p>\n\n- Recorded Presentation<\/a><\/li>\n<\/ul>\n<\/body><\/html>\n\n <\/div>\n<\/div>\n\n\n\n \n \n
Introduction to Mplus software: A flexible and powerful latent variable modeling platform with Robert Wickham Accordion Closed<\/span><\/h4>\n <\/span>\n <\/div>\n <\/a>\n \n \n\nRecorded August 7th, 2023<\/p>\n
This workshop provides a general introduction to the latent variable modeling software platform Mplus (www.statmodel.com<\/a>). 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.<\/p>\n\n- Recorded Presentation<\/a><\/li>\n<\/ul>\n<\/body><\/html>\n\n <\/div>\n<\/div>\n\n\n\n \n \n
Using the PhenX Toolkit with Nancy Jones and Jyoti Dayal Accordion Closed<\/span><\/h4>\n <\/span>\n <\/div>\n <\/a>\n \n \n\nJune 7th, 1 pm – 2 pm
\nOnline<\/p>\n
A workshop introducing the PhenX Toolkit, a web-based catalog of recommended measurement protocols. 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. 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.<\/p>\n
\n- Recorded Presentation<\/a><\/li>\n<\/ul>\n<\/body><\/html>\n\n <\/div>\n<\/div>\n\n\n\n \n \n
ADHS Health Database: Using the Honest Broker System with Kathryn Claypool Accordion Closed<\/span><\/h4>\n <\/span>\n <\/div>\n <\/a>\n \n \n\nFebruary 10, noon–2 p.m.
\nOnline<\/p>\n
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.<\/p>\n
\n- Recorded Presentation<\/a><\/li>\n<\/ul>\n<\/body><\/html>\n\n <\/div>\n<\/div>\n\n\n\n \n \n
Scholarly Writing Webinar for NAU (NVivo and Citavi) Accordion Closed<\/span><\/h4>\n <\/span>\n <\/div>\n <\/a>\n \n \n\nJanuary 25th, 12:00 pm MST
\nOnline<\/p>\n
The free webinar on how the power of NVivo<\/a> & Citavi<\/a> together can assist with your writing will cover:
\n• Review of Literature: Easily search databases and websites for references to include in your project
\n• Pre-Writing: Efficiently organize and annotate literature, highlight critical quotes, comments, and ideas across many articles, while developing a detailed outline
\n• Writing: Export your outline with the content you highlighted into a Word document in seconds taking you from first draft to final publication
\n• Revise & Edit: With Word integration, organize content and manage citations, plus references seamlessly
\n• Publish: Speed up the writing process to help you publish faster and more often
\n• Collaborate: Enable research groups of any size to work together – worldwide<\/p>\n<\/body><\/html>\n\n <\/div>\n<\/div>\n\n <\/p>\n
2022<\/h3>\n\n\n \n \n Navigating the Mix of Mixed Methods Projects Accordion Closed<\/span><\/h4>\n <\/span>\n <\/div>\n <\/a>\n \n \n\nRobert T. Trotter III, PhD, Regents’ Professor, Department of Anthropology<\/strong><\/p>\n(Recorded on November 3, 2022)<\/em><\/p>\nThis 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.<\/p>\n
\n- Recorded Presentation<\/a><\/li>\n<\/ul>\n<\/body><\/html>\n\n <\/div>\n<\/div>\n\n\n\n \n \n
Basic Inferential Statistics Using R Accordion Closed<\/span><\/h4>\n <\/span>\n <\/div>\n <\/a>\n \n \n\nIndrakshi Roy, Biostatistician, Center for Community Health and Engaged Research<\/strong><\/p>\n(Recorded October 20, 2022)<\/em><\/p>\nThis 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.<\/p>\n
\n- Recorded Presentation<\/a><\/li>\n<\/ul>\n<\/body><\/html>\n\n <\/div>\n<\/div>\n\n\n\n \n \n
Intro to Covidence for Systematic Review Management Accordion Closed<\/span><\/h4>\n <\/span>\n <\/div>\n <\/a>\n \n \n\nPamela Buzzard, MILS, Health Sciences Librarian, Cline Library<\/strong><\/p>\n(Recorded October 11, 2022)<\/em><\/p>\nCovidence 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, and 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.<\/p>\n
\n- Recorded Presentation<\/a><\/li>\n<\/ul>\n<\/body><\/html>\n\n <\/div>\n<\/div>\n\n\n \n \n
JMPing to the Next Level: Intermediate Statistical Analysis using the JMP Platform Accordion Closed<\/span><\/h4>\n <\/span>\n <\/div>\n <\/a>\n \n \n\nCatherine Proppoer, PhD, Professor, Department of Biological Sciences<\/strong><\/p>\n(recorded September 27, 2022)<\/em><\/p>\nThis 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<\/em> workshop be viewed prior to the intermediate-level workshop. Both workshops follow a similar framework of hypothesis testing and examining results to evaluate outcomes.<\/p>\n\n- Recorded Presentation<\/a><\/li>\n<\/ul>\n<\/body><\/html>\n\n <\/div>\n<\/div>\n\n\n \n \n
Beginner\u2019s Guide to R Accordion Closed<\/span><\/h4>\n <\/span>\n <\/div>\n <\/a>\n \n \n\nIndrakshi Roy, PhD, Biostatistician, CHER<\/strong><\/p>\n(recorded July 21, 2022)<\/em><\/p>\nThis workshop is designed to provide a very basic introduction to RStudio (understanding the interface and how to import and export data, manage data, and basic statistics). The workshop aims to explain in simple terms, the basic terminologies in R. Some simple visualization techniques in R are covered. This workshop uses a mock dataset to give hands-on experience using RStudio. No previous knowledge of R is required.<\/p>\n
\n- Recorded Presentation<\/a><\/li>\n<\/ul>\n<\/body><\/html>\n\n <\/div>\n<\/div>\n\n\n \n \n
JMP into Stats: An Intuitive Program for Statistical Analysis Accordion Closed<\/span><\/h4>\n <\/span>\n <\/div>\n <\/a>\n \n \n\nCatherine Proppoer, PhD, Professor, Department of Biological Sciences<\/strong><\/p>\n(recorded July 12, 2022)<\/em><\/p>\nIf 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 offers basic analysis tools for data cleaning, descriptive statistics correlational analysis, and geographical representation of your data. JMP is available through apps.nau.edu<\/a> or NAU ITS. Participants should have this downloaded prior to viewing.<\/p>\n\n- Recorded Presentation<\/a><\/li>\n<\/ul>\n<\/body><\/html>\n\n <\/div>\n<\/div>\n\n\n \n \n
Intro to SPSS Accordion Closed<\/span><\/h4>\n <\/span>\n <\/div>\n <\/a>\n \n \n\nMonica Lininger, PhD, Associate Professor, Athletic Training Program
\nMichael Petillo, MA, Research Coordinator, Sr., CHER <\/strong><\/p>\n(recorded June 9, 2022)<\/em><\/p>\nAre you new to SPSS or need a refresher? This interactive workshop will explore 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 analysis, data management, and quantitative reporting. Using a sample data set, participants will practice using the software for data cleaning, descriptive statistics, correlational analysis, graphical representations, and SPSS research. SPSS is available through NAU ITS; download the software prior to viewing.<\/p>\n
\n- Recorded Presentation<\/a><\/li>\n<\/ul>\n<\/body><\/html>\n\n <\/div>\n<\/div>\n\n\n \n \n
Intro to SAS Accordion Closed<\/span><\/h4>\n <\/span>\n <\/div>\n <\/a>\n \n \n\nRicky Camplain, PhD, Assistant Professor, CHER and Department of Health Science<\/strong><\/p>\n(recorded June 1, 2022)<\/em><\/p>\nSAS 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 departments. This workshop will demonstrate access to and major features of SAS Software, including reading in datasets, basics of data management (e.g., recoding, merging, and combining datasets), and basic statistics. Participants should be sure to have access to apps.nau.edu<\/a> >Mathmatics folder >Statistics folder >SAS app.<\/p>\n\n- Recorded Presentation<\/a><\/li>\n<\/ul>\n<\/body><\/html>\n\n <\/div>\n<\/div>\n\n\n \n \n
Intro to Python for Data Analysis Accordion Closed<\/span><\/h4>\n <\/span>\n <\/div>\n <\/a>\n \n \n\nDavid Folch, PhD, Assistant Professor of Geography, Planning, and Recreation<\/strong><\/p>\n(Recorded May 19th)<\/em><\/p>\nPython 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 will learn how to perform basic data manipulation, visualization, and statistical tasks.<\/p>\n
\n- Recorded Presentation<\/a><\/li>\n<\/ul>\n<\/body><\/html>\n\n <\/div>\n<\/div>\n\n\n \n \n
RCC Workshop: Exploring NVivo for Qualitative Data Analysis Accordion Closed<\/span><\/h4>\n <\/span>\n <\/div>\n <\/a>\n \n \n\nMichael Petillo, MA, Research Coordinator, Sr., CHER <\/strong><\/p>\n(Recorded May 9, 2022<\/em>)<\/p>\nQualitative data analysis software (QDAS) such as NVivo can assist researchers with coding, organizing, analyzing, visualizing, and strong 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.<\/p>\n
\n- Recorded Presentation<\/a><\/li>\n<\/ul>\n<\/body><\/html>\n\n <\/div>\n<\/div>\n\n\n \n \n
2022, April 27 Health Justice Futures: Nuestras Historias: Belonging in a Time of Displacement and Immigrant Health Accordion Closed<\/span><\/h4>\n <\/span>\n <\/div>\n <\/a>\n \n \n\n<\/a>(Recorded on April 27, 2022<\/em>)<\/p>\nGuest: Josue Saldivar<\/strong><\/h5>\nWatch the Health Justice Futures recording Nuestras Historias: Belonging in a Time of Displacement and Immigrant Health<\/a><\/p>\nDuring this event, guest speaker Josue Saldivar discusses how immigrants find a sense of belonging in the arts, using creative writing as a vehicle to explore the intersection of immigration status, race, gender, and sexuality. This session will unpack what it means to live on the borderlines of identity, and how geographical borders and anti-immigration policy impact the wellbeing of immigrant communities in Arizona.<\/p>\n
Josue Saldivar is an immigrant, LGBTQIA+ community organizer, and a DACA recipient from Tucson, Arizona. Josue has used the power of creative writing to tell stories about immigration, gender, and sexuality. Josue is currently a Program Organizer with Borderlinks, an educational nonprofit in Tucson.<\/p>\n<\/body><\/html>\n\n <\/div>\n<\/div>\n\n
\n \n \n RIC Workshop: Introduction to Multilevel Modeling Accordion Closed<\/span><\/h4>\n <\/span>\n <\/div>\n <\/a>\n \n \n\nRobert Wickham, Assistant Professor, Department of Psychological Sciences<\/strong><\/p>\n(Recorded on April 7, 2022)<\/em><\/p>\nThis workshop describes techniques for the analysis of multilevel study designs using mixed effects models. We begin with a general introduction to hierarchically nested data structures, followed by a description of the basic random intercept and random intercept+slope models for 2-level designs. The second portion of the workshop discusses issues related to centering of predictor variables, contextual effect analysis, and cross-level interactions. Worked examples are provided for SAS, SPSS, and R.<\/p>\n
October 9th, 12 pm – 2 pm<\/p>\n
Online<\/p>\n
As the 2023 NIH data sharing requirements show, good data management plans (DMP) are increasingly important to funders as they screen grant application. This workshop will explain why data management planning is important, how to use the DMPTool (dmptool.org<\/a>) to create your own DMP and highlight key considerations to make when creating a DMP.<\/p>\n Recorded August 7th, 2023<\/p>\n This workshop provides a general introduction to the latent variable modeling software platform Mplus (www.statmodel.com<\/a>). 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.<\/p>\n June 7th, 1 pm – 2 pm A workshop introducing the PhenX Toolkit, a web-based catalog of recommended measurement protocols. 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. 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.<\/p>\n February 10, noon–2 p.m. 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.<\/p>\n January 25th, 12:00 pm MST The free webinar on how the power of NVivo<\/a> & Citavi<\/a> together can assist with your writing will cover: <\/p>\n Robert T. Trotter III, PhD, Regents’ Professor, Department of Anthropology<\/strong><\/p>\n (Recorded on November 3, 2022)<\/em><\/p>\n 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.<\/p>\n Indrakshi Roy, Biostatistician, Center for Community Health and Engaged Research<\/strong><\/p>\n (Recorded October 20, 2022)<\/em><\/p>\n 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.<\/p>\n Pamela Buzzard, MILS, Health Sciences Librarian, Cline Library<\/strong><\/p>\n (Recorded October 11, 2022)<\/em><\/p>\n 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, and 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.<\/p>\n Catherine Proppoer, PhD, Professor, Department of Biological Sciences<\/strong><\/p>\n (recorded September 27, 2022)<\/em><\/p>\n 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<\/em> workshop be viewed prior to the intermediate-level workshop. Both workshops follow a similar framework of hypothesis testing and examining results to evaluate outcomes.<\/p>\n Indrakshi Roy, PhD, Biostatistician, CHER<\/strong><\/p>\n (recorded July 21, 2022)<\/em><\/p>\n This workshop is designed to provide a very basic introduction to RStudio (understanding the interface and how to import and export data, manage data, and basic statistics). The workshop aims to explain in simple terms, the basic terminologies in R. Some simple visualization techniques in R are covered. This workshop uses a mock dataset to give hands-on experience using RStudio. No previous knowledge of R is required.<\/p>\n Catherine Proppoer, PhD, Professor, Department of Biological Sciences<\/strong><\/p>\n (recorded July 12, 2022)<\/em><\/p>\n 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 offers basic analysis tools for data cleaning, descriptive statistics correlational analysis, and geographical representation of your data. JMP is available through apps.nau.edu<\/a> or NAU ITS. Participants should have this downloaded prior to viewing.<\/p>\n Monica Lininger, PhD, Associate Professor, Athletic Training Program (recorded June 9, 2022)<\/em><\/p>\n Are you new to SPSS or need a refresher? This interactive workshop will explore 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 analysis, data management, and quantitative reporting. Using a sample data set, participants will practice using the software for data cleaning, descriptive statistics, correlational analysis, graphical representations, and SPSS research. SPSS is available through NAU ITS; download the software prior to viewing.<\/p>\n Ricky Camplain, PhD, Assistant Professor, CHER and Department of Health Science<\/strong><\/p>\n (recorded June 1, 2022)<\/em><\/p>\n 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 departments. This workshop will demonstrate access to and major features of SAS Software, including reading in datasets, basics of data management (e.g., recoding, merging, and combining datasets), and basic statistics. Participants should be sure to have access to apps.nau.edu<\/a> >Mathmatics folder >Statistics folder >SAS app.<\/p>\n David Folch, PhD, Assistant Professor of Geography, Planning, and Recreation<\/strong><\/p>\n (Recorded May 19th)<\/em><\/p>\n 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 will learn how to perform basic data manipulation, visualization, and statistical tasks.<\/p>\n Michael Petillo, MA, Research Coordinator, Sr., CHER <\/strong><\/p>\n (Recorded May 9, 2022<\/em>)<\/p>\n Qualitative data analysis software (QDAS) such as NVivo can assist researchers with coding, organizing, analyzing, visualizing, and strong 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.<\/p>\n Watch the Health Justice Futures recording Nuestras Historias: Belonging in a Time of Displacement and Immigrant Health<\/a><\/p>\n During this event, guest speaker Josue Saldivar discusses how immigrants find a sense of belonging in the arts, using creative writing as a vehicle to explore the intersection of immigration status, race, gender, and sexuality. This session will unpack what it means to live on the borderlines of identity, and how geographical borders and anti-immigration policy impact the wellbeing of immigrant communities in Arizona.<\/p>\n Josue Saldivar is an immigrant, LGBTQIA+ community organizer, and a DACA recipient from Tucson, Arizona. Josue has used the power of creative writing to tell stories about immigration, gender, and sexuality. Josue is currently a Program Organizer with Borderlinks, an educational nonprofit in Tucson.<\/p>\n<\/body><\/html>\n\n <\/div>\n<\/div>\n\n Robert Wickham, Assistant Professor, Department of Psychological Sciences<\/strong><\/p>\n (Recorded on April 7, 2022)<\/em><\/p>\n This workshop describes techniques for the analysis of multilevel study designs using mixed effects models. We begin with a general introduction to hierarchically nested data structures, followed by a description of the basic random intercept and random intercept+slope models for 2-level designs. The second portion of the workshop discusses issues related to centering of predictor variables, contextual effect analysis, and cross-level interactions. Worked examples are provided for SAS, SPSS, and R.<\/p>\n\n
Introduction to Mplus software: A flexible and powerful latent variable modeling platform with Robert Wickham Accordion Closed<\/span><\/h4>\n <\/span>\n <\/div>\n <\/a>\n
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Using the PhenX Toolkit with Nancy Jones and Jyoti Dayal Accordion Closed<\/span><\/h4>\n <\/span>\n <\/div>\n <\/a>\n
\nOnline<\/p>\n\n
ADHS Health Database: Using the Honest Broker System with Kathryn Claypool Accordion Closed<\/span><\/h4>\n <\/span>\n <\/div>\n <\/a>\n
\nOnline<\/p>\n\n
Scholarly Writing Webinar for NAU (NVivo and Citavi) Accordion Closed<\/span><\/h4>\n <\/span>\n <\/div>\n <\/a>\n
\nOnline<\/p>\n
\n• Review of Literature: Easily search databases and websites for references to include in your project
\n• Pre-Writing: Efficiently organize and annotate literature, highlight critical quotes, comments, and ideas across many articles, while developing a detailed outline
\n• Writing: Export your outline with the content you highlighted into a Word document in seconds taking you from first draft to final publication
\n• Revise & Edit: With Word integration, organize content and manage citations, plus references seamlessly
\n• Publish: Speed up the writing process to help you publish faster and more often
\n• Collaborate: Enable research groups of any size to work together – worldwide<\/p>\n<\/body><\/html>\n\n <\/div>\n<\/div>\n\n2022<\/h3>\n\n
Navigating the Mix of Mixed Methods Projects Accordion Closed<\/span><\/h4>\n <\/span>\n <\/div>\n <\/a>\n
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Basic Inferential Statistics Using R Accordion Closed<\/span><\/h4>\n <\/span>\n <\/div>\n <\/a>\n
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Intro to Covidence for Systematic Review Management Accordion Closed<\/span><\/h4>\n <\/span>\n <\/div>\n <\/a>\n
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JMPing to the Next Level: Intermediate Statistical Analysis using the JMP Platform Accordion Closed<\/span><\/h4>\n <\/span>\n <\/div>\n <\/a>\n
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Beginner\u2019s Guide to R Accordion Closed<\/span><\/h4>\n <\/span>\n <\/div>\n <\/a>\n
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JMP into Stats: An Intuitive Program for Statistical Analysis Accordion Closed<\/span><\/h4>\n <\/span>\n <\/div>\n <\/a>\n
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Intro to SPSS Accordion Closed<\/span><\/h4>\n <\/span>\n <\/div>\n <\/a>\n
\nMichael Petillo, MA, Research Coordinator, Sr., CHER <\/strong><\/p>\n\n
Intro to SAS Accordion Closed<\/span><\/h4>\n <\/span>\n <\/div>\n <\/a>\n
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Intro to Python for Data Analysis Accordion Closed<\/span><\/h4>\n <\/span>\n <\/div>\n <\/a>\n
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RCC Workshop: Exploring NVivo for Qualitative Data Analysis Accordion Closed<\/span><\/h4>\n <\/span>\n <\/div>\n <\/a>\n
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2022, April 27 Health Justice Futures: Nuestras Historias: Belonging in a Time of Displacement and Immigrant Health Accordion Closed<\/span><\/h4>\n <\/span>\n <\/div>\n <\/a>\n
<\/a>(Recorded on April 27, 2022<\/em>)<\/p>\nGuest: Josue Saldivar<\/strong><\/h5>\n
RIC Workshop: Introduction to Multilevel Modeling Accordion Closed<\/span><\/h4>\n <\/span>\n <\/div>\n <\/a>\n
![\"\"](\"https:\/\/legacy.nau.edu\/wp-content\/uploads\/sites\/79\/APR-6_HJF3-Promo-Poster-website-480x600.png\")
<\/a>(Recorded on April 6, 2022)<\/p>\n