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Data analytics for the Social Sciences using SPSS (Part 2)

Date
October 22, 2021
Time
9:00 AM EDT - 12:30 PM EDT
Location
Online via Zoom
Migration ResearchGyms
Register  (external link, opens in new window) 
About the workshop:

The aim of this workshop is to introduce participants to programming using the SPSS software. Alongside using the software, participants will apply what they have learned to case studies and exercises specific to migration research. Case studies and exercises are selected to build quantitative analytic skills that will be useful for all Social Science researchers. Participants will also learn about the various data types (i.e. cross-sectional, panel and time-series) and estimation methods appropriate for each data type. The workshop is intended for those interested in introducing quantitative research methods into their projects, and seeking hands-on training in the SPSS software. Some basic knowledge of statistics is required for this workshop. 

In this workshop you will learn:

  • About the different types of data and applying the appropriate data analysis methods
  • How to perform hypothesis testing and run a regression analysis using SPSS
  • How to create publication quality graphs and tables using SPSS

How this workshop will be delivered:

This workshop will be delivered in a lecture format. Participants will also have the opportunity to work on exercises to apply what they have learned using SPSS. Participants will need a laptop to be able to work through the exercises in the workshop. Participants will need to download and install SPSS (trial version) prior to attending the workshop (instructions will be provided after registration).

Workshop Overview

9–11 AM – Using SPSS

  • Loading data into SPSS
  • One sample t-tests, independent samples t-tests, paired samples t-tests
  • Single variable regressions   

11-11:15 AM – Break

11:15 AM-12:30 PM – Exercise

  • Multiple variable regressions
  • Editing and saving tables  
About the workshop leaders:

Stein Monteiro is a Research Fellow, CERC Migration. Stein holds a PhD in Economics from York University. His research explores themes related to family dynamics and its influence on migration decisions and on the role of co-ethnic networks in affecting assimilation rates among new immigrant groups in Canada.

Seyda Aytac is a Research Assistant at CERC Migration, Ryerson University. Seyda is currently a PhD student in Policy Studies at Ryerson University. Her dissertation draws on the disciplines of Economics and Social Policy to examine the factors and dimensions of precarious employment in the Canadian labour market. Her study aims to generate a comprehensive and multidimensional scale to measure precarious work and its impacts on different groups of workers based on their gender, education, marital status, immigration status, and type of employment in the labour market. Seyda has taught in the Department of Economics and Chang School at Ryerson University.

 

All workshops are being offered free of charge. Our workshops are often oversubscribed and we maintain a waiting list. We ask that you please cancel your registration if you are no longer able to attend. We appreciate your understanding.