Applied statistics with SPSS

[5 half days] - [English]

Would you like to brush up on your statistical skills? Do you want to learn how to (better) use SPSS, a user-friendly data analysis tool?

SPSS is a statistical analysis software, popular due to its ease of use. SPSS means Statistical Package for Social Sciences. It is one of the most used statistical softwares in social sciences. SPSS can be used for data management and processing, handling variable metadata, implement statistical analyses and get clean graphical or tabular outputs.

Applied statistics with SPSS [5 half days] - [starts on 25-11-2024 à 09:30] - [English] - [Louvain-la-Neuve]

Training aims
The main objective of this training session is to provide participants with the skills needed for the statistical analysis of their data, by following the statistical analysis process from data import and processing until the final report.

Prerequisites
This training requires a basic knowledge of statistics.

Content

• Statistics as a tool: summarise, infer and model
• Discovering the SPSS environment: general architecture, basic commands, syntax, using the help
• Data processing and outputs
• Basic statistical analyses: exploratory analysis, regressions, generalized linear models, tests of proportion and goodness of fit, non-parametric tests
• Questions & Answers

Rate
This training course is recognized by the IABE, enabling participants to earn CPD points.
(Note that this is true for all SMCS courses.)

This training course is eligible for the training voucher scheme of the Walloon Region.
If you wish to use training vouchers as part of your registration, please visit the following page for further information and contact our administration office.

Tools used during training
SPSS

Methods and method families discussed
Data processing
   Data set cleaning and processing for statistical analysis
Descriptive statistics
   Descriptive statistics
   Summary tables
   Charts
Nonparametric statistics
   Nonparametric tests to compare means
   Test of proportion and goodness of fit test
   Indexes and tests of the relationship between qualitative or quantitative variables that are not normally distributed
Parametric statistics of mean comparison
   Student's t-test
   ANOVA
   Repeated measures ANOVA
   ANCOVA
Regression model
   Inference on a linear correlation coefficient
   Simple linear regression
   Logistic regression
   Multiple linear regression
Software use
   Software use