University of Malta

IBM SPSS: Introduction
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Only University students and staff may register for IBM SPSS courses organised by IT Services.

About the Course

This course is aimed at University staff & students registered with the University of Malta who want to use IBM SPSS to complement or enhance their statistical analysis, but who do not have the time to study the associated techniques from scratch. The course is intended for beginner IBM SPSS users.

The main aim is to teach participants basic statistics, and how IBM SPSS can help in analysing data efficiently. Course participants will learn how to input data into IBM SPSS, how to create variables, how to illustrate data graphically, how to get simple statistics such as mean, variance etc., and reliability analysis, which is essential to validate results obtained from a questionnaire. The only essential prerequisite is familiarity with MS Windows and the basic concepts of MS Excel.

The tutor for the course will be Prof Liberato Camilleri.

Course Structure

The course consists of three sessions of 2 hours each.

Sampling Techniques and Sample Size

  • Random, Systematic, Stratified, Cluster and Multistage sampling
  • Estimate Confidence interval given Sample size 
  • Estimate Sample size given Confidence interval

Basics of IBM SPSS

  • Explain  SPSS toolbars
  • Generate categorical and continuous variables
  • Enter data into SPSS
  • Use of the Recode and the Select options
  • Transform continuous to categorical variables
  • Sorting data
  • Analyze multiple responses by using the multiple response option
  • Analyze multiple responses by stacking the data

Exploring IBM SPSS Graphics

  • Produce Histograms to display distribution of continuous variables
  • Generate Bar graphs and Pie charts for categorical variables
  • Produce Scatter plots to relate two continuous variables
  • Generate Clustered bar graphs to relate two categorical variables
  • Produce Box plots and Line graphs

Descriptive Statistics

  • Define measures of location - mean, median and mode
  • Define measures of dispersion - range, variance and standard deviation
  • Define measure of symmetry - coefficient of skewness
  • Define measure of peakedness - coefficient of kurtosis

Reliability Analysis

  • Inter-rater, Intra-rater and Test retest reliability
  • The Kappa measure of agreement for nominal scaled responses
  • Kendall tau measure of agreement for ordinal scaled responses
  • Intraclass correlation measure of agreement for interval scaled responses
  • Internal Consistency using Cronbach's Alpha and Guttman split half coefficient

The course is intended to be a hands-on course, where a technique learnt will be applied to a case study. Further exercises will be available for the user who wants further practice.

Next Course

Staff and students may request to be placed on the course waiting list if the above course is at a time which is inconvenient to them.

IT Services will inform them via email when the next course will be scheduled.


Course Registration

The course registration fee is €37.27. Please note that this fee has been kept to an absolute minimum and is necessary to cover tutoring costs. The fee does not include courseware which can be downloaded from our documentation page.

University staff and students are requested to register and pay online for the IBM SPSS Introduction course. 

The following payment methods are accepted:

  • Academic staff can use their personal Academic Work Resources Funds debit card or any other credit/debit card.
  • Students can use any credit/debit card.
  • Administrative, technical and industrial staff can authorise payment using any credit/debit card. They may then apply for reimbursement of the course fee through the Work Resources Fund Committee. The Committee requires a letter of regular attendance before approving the reimbursement of the course fee. IT Services will issue such a letter.

Registrations are accepted on a first-come first-served basis. IT Services reserves the right not to proceed with a course in which case a full refund will be issued.

Cancellation/Refund Policy

  • IT Services will not issue refunds if applicants fail to attend full or part of the course.
  • IT Services reserves the right to cancel a course if the minimum number of participants is not reached. In such cases, the participants are given the opportunity to attend the next course or they will be refunded the full course registration fee.
Only University staff and students can register for courses organised by IT Services.

Last Updated: 3 March 2020

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