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Preparing survey data for analysis using SPSS (Part 1)

Date
October 15, 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:

This introductory-level workshop introduces participants to basic data preparation before performing statistical analysis, including creating and verifying variables, cleaning data, and preparing descriptive statistics. Besides data preparation, participants will apply what they have learned to case studies by using the SPSS (Statistical Package for the Social Sciences) software. Case studies and exercises are selected to build quantitative analytic skills useful for all Social Science researchers. The workshop is intended for those interested in introducing quantitative research methods into their projects and seeking hands-on training in SPSS software.

In this workshop you will learn:

  • How to load and analyze social science data
  • How to clean and prepare data for analysis
  • How to create/rename/label variables for analysis
  • How to perform descriptive analysis (including preparing tables, graphs and t-tests)

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 work through the exercises in the workshop and will need to download and install SPSS (trial version) before attending the workshop (instructions will be provided after registration).

Workshop Overview

9–11 AM – Preparing survey data for analysis

  • Loading data onto an SPSS workspace, storing data, viewing the data and getting to know the workspace
  • Cleaning text and numeric data using SPSS
  • Missing data review

11-11:15 AM: Break

11:15 AM-12:30 AM – Exercise

  • Participants will work through a complete data exercise using SPSS
About the workshop leader:

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 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.