Fall 2020 Graduate Workshop Series; Dates and info on virtual workshops designed to support grad students
Join the Graduate Academic Support Center for their Fall 2020 Graduate Workshop Series.
The series includes a range of writing and statistics workshops that are designed to support graduate students as they pursue advanced degrees and future employment. These workshops are offered throughout the fall semster and will be held via Zoom. Students who register for workshops but cannot attend live can receive a copy of the recording to view later. Read all about upcoming workshops and register below!
Introduction to Excel for Data Analysis: Sept. 28 from Noon-1 p.m
Graduate statistics tutors will present an introduction to Excel for statistical data analysis. Tutors will demonstrate how to receive summary statistics (mean, median, mode, and range) from Excel and how to conduct basic statistical tests using the Data Analysis Toolpak (e.g., paired t-test, ANOVA, and linear regression). Tutors will also discuss some data visualization techniques. Register at bit.ly/IntroExcelgradfall2.
Managing the Thesis and Dissertation Writing Process: Oct. 1 from Noon-1 p.m.
Students will learn about resources at ASU that can be utilized to support their thesis or dissertation processes. Students will also learn strategies for planning time to research and write, using mentor texts, keeping track of research, communicating with thesis or dissertation committee members, and staying motivated and inspired. Register at bit.ly/ManagingWritingProcessgradfall2.
Critical Reading Strategies: Oct. 5 from 3 p.m.-4 p.m.
Reading is an important part of the research and writing process. Join us to learn strategies for identifying themes from articles and sources as well as how to track and organize sources to help you with writing projects. Register at bit.ly/CriticalReadinggradfall2.
Tips for Research Writing: Oct. 8 from 3 p.m.-4 p.m.
This presentation will include an overview of the research process, including evaluating sources, finding mentor texts, formulating an argument, balancing summary and synthesis, and revising and editing. Register at bit.ly/ResearchWritingTipsgradfall2.
Introduction to R (Part 2): Oct. 15 from 11 a.m.-Noon
Graduate statistics tutors will present part 2 of an introduction to R, free software for statistical computing. Tutors will demonstrate how to input data, data cleaning methods, rudimentary analyses (e.g., t-test and linear regression), and some data visualization techniques. Register at bit.ly/IntroR_Part2gradfall2.
Introduction to SPSS (Part 2): Oct. 19 from 3 p.m.-4 p.m.
Graduate statistics tutors will present part 2 of an introduction to SPSS, statistical software. Tutors will review data management techniques and will demonstrate exploratory data analysis, visualization, modeling, and significance testing in SPSS. Register at bit.ly/IntroSPSS_Part2gradfall2.
Tips for Writing a Literature Review: Oct. 26 from 3 p.m.-4 p.m.
This presentation will discuss the purpose of a literature review and provide strategies for organizing information, using ASU Library tools, and evaluating drafts of your review. Register at bit.ly/LitReviewTipsgradfall2.
Developing an Argument: Nov. 2 from Noon-1 p.m.
This presentation will discuss common features of academic arguments, including rhetorical appeals, claims, and counterarguments in addition to strategies for structuring an academic argument. register at bit.ly/Argumentgradfall2.
Introduction to Qualitative Data Analysis: Nov. 12 from 3 p.m.-4 p.m.
Students will learn basic tips for qualitative data analysis, such as developing a framework and coding data. An overview will be provided about the most popular methods for analyzing qualitative data: content analysis, narrative analysis, discourse analysis, and grounded theory. Resources for learning more about each method will also be shared. Register at bit.ly/IntroQualitativeDatagradfall2.
Introduction to Quantitative Data Analysis: Nov. 16 from 3 p.m.-4 p.m.
Students will learn basic tips for quantitative data analysis, including data validation, data editing, and data coding. An overview will be provided about methods for analyzing quantitative data, including descriptive analysis and inferential analysis. Resources will be provided for learning more about each method. Register at bit.ly/IntroQuantitativeDatagradfall2.
Writing and Submitting Conference Proposals: Nov. 17 from 1 p.m.-2 p.m.
Join us to discuss how to analyze conference calls for proposals, assess different types of presentation options, and apply tips for writing a proposal. Register at bit.ly/ConferenceProposalsgradfall2.
For questions, please call (480) 965-9072.