On October 7, 2015, the Academic Skills Center sponsored an all-day statistics conference for Walden students, faculty, and staff. A link to the video recordings and supplemental materials are listed below.
The key to answering your research question is selecting the right statistical test, and the key to performing that test is having the right variable types. This presentation will address the types of variables that are required for common statistical tests. This information will help the student in designing their data collection methodology, and prevent mistakes that can occur when the right test is selected, but the wrong variable types are measured. For doctoral students working on their proposals.
Presented by: Patrick Dunn, PhD
During this informal roundtable discussion, Sarah Inkpen and Patrick Dunn will discuss common pitfalls students experience when conducting a quantitative dissertation study, and how to avoid them. Come prepared with questions about your own doctoral work as points of discussion. For doctoral students conducting (or thinking about conducting) quantitative research.
Presented by: Sarah Inkpen, MEd & Patrick Dunn, PhD
This session will cover basic SPSS usage and statistical concepts and provide a brief overview of Walden’s tutoring services program for statistics support. For students who are new to using SPSS and statistical tests for level one statistics. Students will learn how to access the ASC Tutoring website, its learning resources, and navigating the scheduling system to be able to make tutoring appointments. Students will learn SPSS basics such as downloading and working with simple data for the most popular types of statistical analysis.
Presented by: Kim Palermo-Kielb, MS & Toby Yak, MPH
When it’s time to determine which statistical tests will yield the most appropriate results, sometimes it is difficult to know which type of test to run. During this roundtable discussion, Dr. Zin Htway and Dr. Pat Dunn will talk about types of variables, and how proper identification of variables informs statistical testing. Plan to come prepared with questions about your own doctoral work as points of discussion. For doctoral students conducting (or thinking about conducting) quantitative research.
Presented by: Zin Htway, PhD & Patrick Dunn, PhD
How can knowledge of statistics impact your career? Join Walden Career Services staff, students, and alumni as we explore the broad gamut of career fields that require statistical knowledge. In this session, the panel will discuss how statistics can be used across multiple fields, the relevance of statistical knowledge in the workplace, and how Career Services supports students in marketing their skills.
Panelists: Dina Bergren, MA; Denise Pranke, MEd; Sharon Roberts, MBA; Steve Mairs, MPA; Zin Htway, PhD
Moderator: Patrick Dunn, PhD
In addition to statistics and SPSS tutoring, the Academic Skills Center offers a number of resources for students in their capstones. This session will give an overview of the other ASC resources for students in their capstones, such as the doctoral writing workshops and the capstone course visits. For doctoral students who are in or nearing proposal stage. Students who attend this session will learn about ASC’s other resources for students in their capstones (outside of statistics and SPSS tutoring).
Presented by: Emily Dahlen, MEd, Lydia Lunning, MA & Shawn Picht, MA
This presentation and discussion will focus on how to read and identify variable in a matrix. During the presentation, Heather Walzel will discuss what a matrix is, how to identify variables in a matrix, and how to read a matrix. Plan to come prepared with your own questions for points of discussion. For all students interested in learning more about matrix correlation. Content covered will be on general topics, with some discussion and application related to nursing and biostatistics.
Presented by: Heather Walzel, MSN-ED, RN & Kim Palermo-Kielb, MS
Existing quantitative datasets contain data collected for previous research projects or administrative purposes. These data are frequently the result of complex sampling designs and are a potential treasure trove for scholarly research. Using this data affords researchers the opportunity to answer new research questions and construct untested hypotheses utilizing existing samples. This session will cover: strategies for locating existing data, types of existing data, aligning existing data with your research, and the associated strengths and limitations of using existing data. This presentation is targeted toward anyone that has an interest in understanding the potential opportunities of using existing data.
Presented by: Sunny Liu, PhD & Matthew Jones, PhD