Analysing Survey Data with SPSS

Qualitative Data Analysis Services (QDAS) provide tailored and flexible training, consultancy, coaching and analysis for qualitative, quantitative and mixed-methods researchers. We specialise in facilitating bespoke, high-quality analysis through the powerful use of digital tools.We have many years of experience and have worked with many thousands of practitioner, academic, applied and commercial researchers, helping them choose appropriate qualitative and mixed-methods software solutions and get the most from their use, to move forward with their research and analysis with confidence.We have worked with clients across a range of sectors and in many different fields, as well contributing to numerous ongoing postgraduate programmes within universities across the UK and Europe. A more exhaustive list of clients can be found on ourwebsite.Our website provides information about our work, including our pedagogy - theFive-Level QDA method, which underpins the way we think about, undertake and teach methods and tools.

QDAS | Qualitative Data Analysis Services

Get to grips with the principles and activities involved in doing quantitative data analysis using SPSS in this workshop

Get to grips with the principles and activities involved in doing quantitative data analysis using SPSS

Quantitative Data Analysis

Get to grips with the principles and activities involved in doing quantitative data analysis

Who is this course for?It is designed for postgraduate students, early career researchers and practitioners planning to work with survey data in any discipline.Course overview and aimsThis course provides an introduction to the principles and practices of undertaking quantitative data analysis of survey data in SPSS. The course combines discussion, demonstration and hands-on exercises.Please note: Participants will need access to SPSS in order to take part in the course. Topics<ul><li>Exploring phenomena of interest using quantitative measures</li><li>Types of numerical data: nominal, ordinal, interval and ratio variables</li><li>Introduction to the SPSS interface</li><li>Data entry</li><li>Setting up an SPSS project with example data</li><li>Getting to know the sample data using descriptive statistics</li><li>Recoding and combing variables</li><li>Describing the relationship between 2 variables</li><li>Moving beyond the descriptive: understanding hypothesis testing and p-values</li><li>Moving beyond the descriptive: running Chi-square, independent sample t-tests and ANOVAS</li><li>Moving beyond the bivariate: running and interpreting a linear regression analysis</li><li>Tips for writing up findings and tables</li></ul>Learning objectivesBy the end of the course, participants will be able to:<ul><li>Input and import their data into SPSS</li><li>Explore and recode their key measures with confidence</li><li>Interpret results of bivariate descriptive analyses and report these clearly.</li><li>Set up a null hypothesis and interpret a p-value</li><li>Test the relationship between two variables using appropriate inferential statistics</li><li>Understand how to run and interpret a linear regression analysis.</li></ul>

Format and documentationThis course is delivered in a series of live online sessions during the day that combine discussion, demonstration and hands-on exercises. Participants have the opportunity to discuss their quantitative projects with each other, and with the facilitators. Participants are provided with slide decks, reading lists and resources to further knowledge about the topics covered during the day. FacilitatorSarah L Bulloch, PhD is a senior associate of <a href="https://www.qdaservices.co.uk/sarahbulloch" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Qualitative Data Analysis Services</a> and teaching fellow at the <a href="https://www.surrey.ac.uk/computer-assisted-qualitative-data-analysis" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">CAQDAS Networking Project</a> at the University of Surrey, UK. Sarah has expertise in both quantitative and qualitative analysis techniques and has applied them in academic, public sector, private and third sector contexts. Her PhD explored the relationship between social trust and gender using large scale population datasets and applying multivariate linear regression, multivariate logistic regression, multi-level modelling and structural equation modelling. Her current work and research centres around enabling others to apply research methods in a meaningful, robust and flexible way.

About Qualitative Data Analysis Services (QDAS) QDAS provide tailored and flexible training, consultancy, coaching and analysis for qualitative, quantitative and mixed-methods researchers. We specialise in facilitating high-quality analysis through the powerful use of digital tools. <a href="https://www.qdaservices.co.uk" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Our website</a> provides information about our work, including our pedagogy - <a href="https://www.qdaservices.co.uk/five-level-qda" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">the Five-Level QDA method</a>, which underpins the way we think about, undertake and teach methods and tools.

Our {communityGuidelinesLink} describe the sort of content we prohibit on Eventbrite. If you suspect an event may be in violation, you can report it to us so we can investigate.

To report other categories of prohibited or illegal content, submit {link}

Analysing Survey Data with SPSS

More events from QDAS | Qualitative Data Analysis Services

Follow organisers to get events picked for you

Still looking for the right event?

Explore all online events to browse and filter by date, category, and more.

Analysing Survey Data with SPSS

More events from QDAS | Qualitative Data Analysis Services

Follow organisers to get events picked for you

You might also like...

Sign in for personalised recommendations

Still looking for the right event?

Explore all online events to browse and filter by date, category, and more.