Introduction to SPSS -M1

2024M1SPSS

Engels

Description

Originally SPSS was an acronym that stood for 'Statistical Package for the Social Sciences'. In the meantime, the software package has evolved into SPSS Statistics and one of the most used statistical packages in the world. The power and therefore the danger of SPSS Statistics lies in its ease of use. The syntax that allows you to apply a whole range of operations and statistical techniques to your data is covered by a relatively accessible graphical user interface that allows you to 'do statistics' without specialized programming knowledge and without much knowledge of statistics.

This course gives you a solid foundation to translate your own research questions into a qualitative data file and to further develop your SPSS skills based on your analysis needs. The introduction is designed to be experience-oriented. The participants are confronted with a number of problems after which possible solutions are discussed and demonstrated.

Target audience

This introduction is aimed at all persons who collect and/or store data with the intention of statistically analyzing and interpreting it.

Content

Table of content:

Chapter 1: Getting started

Installing (trial version) and opening SPSS
SPSS Data, Output and Syntax windows
SPSS file menus
Getting help in SPSS

Chapter 2: Importing Data

Manually inputting data in SPSS
Import and open .xlsx, .csv, .txt, .sav, .dta and other file formats
Data and Variable views

Chapter 3: Data Manipulation

Select Cases
Sorting of Cases
Visual Binning
Data Merge
Splitting data

Chapter 4: Manipulating Variables

Creating New Variables
Recoding into Different Variables
Recoding into Same Variables
Summarisation of Data
Measurement Scales

Chapter 5: Exploring data

Frequency Tables
Descriptive Statistics
Generating a Histogram
Generating Statistics
Building Graphs Easily
Cross Tables

Chapter 6: Statistical Analysis

Hypothesis Testing
P-Value
Significance Levels
Confidence Intervals
T-Tests
Correlation Analysis
Linear Regression
Simple Linear Regression
Multiple Linear Regression

Exam / Certificate

There is no exam associated with this module. If you attend all classes, you will receive a certificate of participation by email at the end of the course.

Type of course

This is an hybrid course. The first lesson is on campus, the other 2 lessons online.

Schedule

Thursday 3rd October2024, on campus,

Thursday 10th October 2024, online

Thursday 17th October 2024, online

From 5.30 pm to 9.30 pm

Venue

Faculty of Science, Campus Sterre, Krijgslaan 281, 9000 Ghent, building S1, 3th floor, Classroom 3.3

Fees

The participation fee is 540 EUR for participants from the private sector. Reduced prices apply to students and staff from non-profit, social profit, and government organizations

Industry, private sector, profession*: € 540
Non profit, government, higher education staff: € 405
(Doctoral) students, unemployed: € 325

*If two or more employees from the same company enrol simultaneously for this course a reduction of 20% on the course fee is taken into account starting from the second enrolment.

Registration

To register, add the course below to your shopping cart and proceed to checkout.

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UGent PhD Students

Doctoral School pays for your course on the condition hat you sign the attendance list for each lesson. If you are absent, please notify our academy in advance by email and provide the necessary documents.

We follow the No Show polity of the Doctoral School!