The material is delivered through a mix of presentation and hands-on experience with the software.

 

Whilst most of the hands-on experience will take place using example data, participants are encouraged to bring the data they wish to work on for one of the sessions on the second day. Those who do not yet have their data collected will be provided with an example dataset on which to work.

 

The course focusses on univariate and bivariate descriptive statistics. In the final presentation session, ‘What could be next?, participants are introduced to the idea of inferential statistics through examples, illustrating the value-added of such approaches.

 

All our sessions are bespoke.

 

Although our courses are structured around a logical overview of the quantitative analysis process, we do not deliver mechanical, functional training.

 

We work closely with you to understand your particular needs and future use of SPSS and design the right content, providing participants with a real sense of how they can best utilise SPSS to meet their particular needs, rather than what the software will allow them to do in a general sense. 

 

The design of each course therefore varies, but examples of what can be included:

• Exploring social phenomena using quantitative measures

• Types of numerical data: nominal, ordinal, interval and ratio variables

• Guidelines for gathering and working with one’s own quantitative data

• Introduction to the SPSS interface and key working areas

• Introduction to the syntax editor

• Importing and inputting data

• Understanding variables and how to transform them

• Univariate analyses: Generating descriptive statistics of individual variables

• Bivariate analyses: describing the relationship between two variables, e.g. by comparing averages across groups and running crosstabulations

• Evaluating the potential and limits of one’s own data

• Generating output from SPSS for reporting

• ‘What could be next?: introduction to the idea of inferential statistics, how they add to your analysis, and where to go to learn more about them.

 

Prerequisites

Little or no previous knowledge of SPSS or statistics is required. Given that this version of the course is aimed at beginner users of statistics, it does not provide hands-on experience of inferential statistics or multivariate analyses.

 

Participants are encouraged to bring with them a dataset they will be working from during the workshop although sample data can be provided.

 

​Schedule

This course is tailored to you and can be provided as either a one, two, or three day equivalent session. The exact content will be worked up with you on the basis of participants’ likely uses and need. 

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Who is this course aimed at?

 

This training is usually delivered to research teams and institutions and on graduate programmes, although the course is completely tailorable to your organisation.

 

In addition, we also provide bespoke project support and consultancy, as well as one-to-one support and coaching for individual researchers and students.

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Format and documentation

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All our workshops are hands-on, delivered thorough a blend of demonstration, discussion and practical exercises, rather than providing simplistic, mechanical instruction.

 

To deliver a tailored experience for participants, we work closely with you to understand their research goals and analytical strategies. Participants will be required to complete a short pre-workshop questionnaire to enable the tutor to focus and tailor the training specifically to attendees’ requirements and cover the most salient topics, as well as specialist needs arising out of individual projects.

 

Participants are provided with slide decks, reading lists and a range of resources to accompany the course and to support consolidation of the topics covered.

 

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Does this sound right for you? Interested in finding out more? Not quite right, but looking for something similar? Drop us a line to see how we can help. 

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