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ASC Annual Conference: 2015: Statistics Skills Virtual Conference

2015 Statistics Skills Virtual Conference Overview

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.

Conference Recordings

Presentation: Matching Variable Types to Common Statistical Tests

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 addressed the types of variables that are required for common statistical tests.  This information will help students 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.


Roundtable: Avoiding Potential Statistical Pitfalls of Quantitative Studies

During this informal roundtable discussion, Sarah Inkpen and Patrick Dunn discussed common pitfalls students experience when conducting a quantitative dissertation study, and how to avoid them. For doctoral students conducting (or thinking about conducting) quantitative research.


Presentation: New to Stats? An Introduction to Statistics and SPSS for Walden Students

This session covered basic SPSS usage and statistical concepts and provided 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 learned how to access the ASC Tutoring website, its learning resources, and navigating the scheduling system to be able to make tutoring appointments.  Students also learned SPSS basics such as downloading and working with simple data for the most popular types of statistical analysis.    


Roundtable: Statistical Testing for Doctoral Dissertation

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 spoke about types of variables, and how proper identification of variables informs statistical testing. For doctoral students conducting (or thinking about conducting) quantitative research.


Panel Discussion: Career Services Center Panel - Statistics in the Workplace

How can knowledge of statistics impact your career? Walden Career Services staff, students, and alumni as we explored the broad gamut of career fields that require statistical knowledge.  In this session, the panel discussed 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. 


Presentation: Polish the Paper - Capstone Writing Resources from the Academic Skills Center

In addition to statistics and SPSS tutoring, the Academic Skills Center offers a number of resources for students in their capstones. This session gave 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. 


Presentation: Matrix Correlation for Nursing and Biostatistics

This presentation and discussion focused on how to read and identify variable in a matrix. During the presentation, Heather Walzel discussed  what a matrix is, how to identify variables in a matrix, and how to read a matrix. For all students interested in learning more about matrix correlation. Content covered was on general topics, with some discussion and application related to nursing and biostatistics.

 


Invited Presentation: Using Existing Data in Research

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 covered: 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 was targeted toward anyone that has an interest in understanding the potential opportunities of using existing data.

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