Data Entry, Exploration, & Analysis in SPSS

This hands-on training is designed to familiarize you with the interface and basic data processing functionalities in SPSS. We will examine several “must know” syntax commands that can help streamline data entry and processing. In addition, we will explore how to obtain descriptive statistics in SPSS and perform visualization.

This workshop is recommended for researchers and postgraduate students who are new to SPSS or Statistics; or those simply looking for a refresher course before taking a deep dive into using SPSS, either to apply it to their research or to add it to their arsenal of eResearch skills.

  • Navigate SPSS Variable and Data views.
  • Create and describe data from scratch.
  • Import Data from Excel.
  • Familiarise yourself with exploratory data analysis (EDA), including:
    • Understand variable types, identity missing data and outliers.
    • Visualise data in graphs and tables.
  • Compose SPSS Syntax to repeat and store analysis steps.
  • Generate a report testing assumptions of statistical tests.
  • Additional exercises:
  • Check assumptions for common statistical tests.
  • Make stunning plots.

In order to participate, attendees must have a licensed copy of SPSS installed on their computer. Speak to your local university IT or Research Office for assistance in obtaining a license and installing the software.

DOI: 10.5281/zenodo.6423850

Licence: All Rights Reserved

Contact: training@intersect.org.au

Keywords: SPSS


Additional information

Status: Active

Authors: Intersect Australia

Data Entry, Exploration, & Analysis in SPSS https://staging.dresa.org.au/materials/data-entry-exploration-analysis-in-spss This hands-on training is designed to familiarize you with the interface and basic data processing functionalities in SPSS. We will examine several “must know” syntax commands that can help streamline data entry and processing. In addition, we will explore how to obtain descriptive statistics in SPSS and perform visualization. This workshop is recommended for researchers and postgraduate students who are new to SPSS or Statistics; or those simply looking for a refresher course before taking a deep dive into using SPSS, either to apply it to their research or to add it to their arsenal of eResearch skills. - Navigate SPSS Variable and Data views. - Create and describe data from scratch. - Import Data from Excel. - Familiarise yourself with exploratory data analysis (EDA), including: - Understand variable types, identity missing data and outliers. - Visualise data in graphs and tables. - Compose SPSS Syntax to repeat and store analysis steps. - Generate a report testing assumptions of statistical tests. - Additional exercises: - Check assumptions for common statistical tests. - Make stunning plots. In order to participate, attendees must have a licensed copy of SPSS installed on their computer. Speak to your local university IT or Research Office for assistance in obtaining a license and installing the software. training@intersect.org.au SPSS