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Student Research Support:
Quantitative, SPSS, and Statistics Tutoring

Quantitative, SPSS, and Statistics Support

Quantitative data analysis appointments allow doctoral students working on their project study or dissertation to have one-on-one sessions with a quantitative methodologist.  Students may ask any questions pertaining to data analysis. The quantitative methodologists provide assistance in data analysis, SPSS or interpretation of results for reporting purposes.

If you have questions concerning research (RSCH) course concepts or assignments, please contact the Academic Skills Center for course tutoring: https://academicguides.waldenu.edu/academic-skills-center/tutors

Appointments are held in Zoom. Weekly slots are limited. Please make only one appointment a week so that other students also have a chance to make timely appointments. If you need more than one appointment, you are welcome to make one for another week.

Contact us at ordscapstonestatistics@mail.waldenu.edu with any questions.

 

Schedule an Appointment

Can’t find a time that works? Please complete this appointment request form and a team member will contact you within 24-48 hours to assist you with scheduling an appointment.

Office of Research and Doctoral Services (ORDS) SPSS Seminars/Resources

Dr. Reggie Taylor, Office of Research and Doctoral Services, conducts live SPSS and quantitative seminars to address a wide variety of quantitative topics aimed to support doctoral progress. Each seminar can be used as a stand-alone, on-demand resource to support students in their quantitative journey.

Please check this page periodically to identify newly added and upcoming seminars.

Upcoming Seminars (Registration Required)

What: ORDS Quantitative Seminar - The One-sample T-Test

Description: The one-sample t-test is a parametric inferential statistical test used.to determine whether an unknown population mean is different from a specific value. In this session, Dr. Taylor will discuss the concepts and application of the one-sample t-test. Precisely, an example research question, as well as null and alternative hypotheses, will be addressed. Dr. Taylor will show how to accomplish the one-sample t-test using SPSS (version 29), interpret SPSS output, and create APA-compliant results, including appropriate graphs and figures; an exemplar will be provided! An example of copying and pasting the SPSS syntax and output files will be presented.  

When: Monday, 1 April 2024 @ 6:00 PM (CST); 7:00 PM (EST)

Registration Requiredhttps://zoom.us/meeting/register/tJAlceCrpzwuHtMGOaF4OnG1-Zzu3NrV8NdK


What: ORDS Quantitative Seminar: Paired Samples T-Test

Description: The dependent t-test (called the paired-samples t-test in SPSS Statistics) compares the means between two related groups on the same continuous, dependent variable.  In this session, Dr. Taylor will discuss the concepts and application of the paired samples t-test. Precisely, an example research question, as well as null and alternative hypotheses, will be addressed. Dr. Taylor will show how to accomplish the paired samples t-test using SPSS (version 29), interpret SPSS output, and create APA-compliant results, including appropriate graphs and figures. An example of copying and pasting the SPSS syntax and output files will be presented.

When: Tuesday, 2 April 2024 @ 6:00 PM CST; 7:00 PM EST  

Registration Requiredhttps://zoom.us/meeting/register/tJ0pf-mhrzoiH9NvPh0PE4nVf5vu6yrX1rKD


What: ORDS Quantitative Seminar - The Independent Samples T-Test

Description: The independent-samples t-test (or independent t-test, for short) compares the means between two unrelated groups on the same continuous, dependent variable. In this session, Dr. Taylor will discuss the concepts and application of the independent samples t-test. Precisely, an example research question, as well as null and alternative hypotheses, will be addressed. Dr. Taylor will show how to accomplish the independent samples t-test using SPSS (version 29), interpret SPSS output, and create APA-compliant results, including appropriate graphs and figures. An example of copying and pasting the SPSS syntax and output files will be presented. Attendees will be provided with an application exemplar and additional quantitative resources!  

When: Wednesday, 3 April 2024 @ 6:00 PM (CST); 7:00 PM (EST)

Registration Requiredhttps://zoom.us/meeting/register/tJ0vcuqvpj8rE9NIeXjct_Hs7VLWqmC_vxLc

On-Demand Quantitative Seminars Recordings

SPSS

SPSS is a software package that provides students with statistical analysis, modeling, predictive, and survey research tools used in many of our courses and advanced research activities. Walden is pleased to be able to offer this important resource free of charge for the duration of your program.

If you are currently using SPSS software supplied by Walden University, you will need to enter an updated access code on or before March 31, 2025.  As of March 31, 2024, your existing license will expire and you will not be able to use the program. Click here to read the instructions for updating an expired license. The codes will be valid until March 31, 2025.

 

Updating an Expired IBM SPSS License

If you have an older version of SPSS (v.27 or v.28) already installed and choose not to upgrade to v29, you may continue to use it. Just follow these instructions to update your license:

 

Which version of SPSS do I need?

Walden is pleased to offer SPSS version 29 this year.  SPSS version 29 is supported on the following operating systems:

  • Windows 11
  • Windows 10
  • Windows 8
  • Windows 7
  • OS Somona 13.0
  • OS Monterey 12.0
  • OS Big Sur 11.0
  • OS Catalina 10.15
  • OS Mojave 10.14

 

 

Instructions for Installing and Registering IBM SPSS Software

 

If you have any questions about this change or need assistance downloading SPSS, please contact Walden’s Customer Care Team from your myWalden portal by choosing the Support tab and clicking “Click to Chat.” You can also call 1-800-WALDENU (925-3368). Please include your name, student ID number, and degree program with any correspondence.

Meet the SPSS and Statistics Tutors

Arfe Ozcan

Statistics Tutor

Dr. Ozcan have been involved with education at multiple levels, throughout K-12 and higher education, teaching classes and leading various research projects. After receiving her Ph.D. from The University of Texas at Austin, Dr. Ozcan have taught research methodology courses and conducted assessment and program evaluation studies with higher education institutions as well as school districts and various state agencies. She serves as a statistics tutor at the Office of Research and Doctoral Services.


Reggie Taylor

Statistics Tutor

Dr. Taylor started with Walden in 2007 in the School of Psychology as a contributing faculty. He transitioned to the Doctor of Business Administration program in 2013 as a Program Coordinator. Dr. Taylor joined the Office of Research and Doctoral Services in 2019. In his role in ORDS, Reggie provides methodology and statistics support, one-on-one statistics and SPSS tutoring support. He is also responsible for expanding these tutoring and methods advising services to address broader student research support needs at the doctoral capstone stage. 


Sunny Liu, PhD

Statistics Tutor

Dr. Liu has taught research methods and statistics courses for several years. Her research interests include longitudinal data analysis, secondary data, and advanced statistical modeling. She serves as a statistics tutor at the Office of Research and Doctoral Services.


Zin Htway, PhD

Statistics Tutor

Zin Htway, PhD, MBA, teaches or has taught statistical methods in computational biology; advanced immunology; epidemiology and environment; cancer and society; sex, germs, and diseases; and quantitative methods for biology. Dr. Htway has worked as a researcher in community-based research settings in a variety of areas, including avian influenza detection and diabetes among Hispanic populations, and has served as principle investigator or methodology/statistics expert in many of those projects. Dr. Htway earned his PhD in public health and epidemiology from Walden University in Minneapolis, Minnesota.

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