Summer Schools

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Quantitative Research Summer School

Overview

This is an introductory course to quantitative methods and statistics. The course starts with the very core elements of statistical analysis and covers descriptive statistics for categorical and continuous data, analysis of contingency tables, proportions, measures of central tendency and dispersion, before moving onto correlation and simple linear regression and working up to multiple linear regression. The course finishes with a brief overview of further regression techniques such as logistic regression and is designed to prepare students for further statistical courses in later years. It is designed to give a good grounding in the use of the statistical software SPSS.

 

Throughout the course the students will work in multi-disciplinary groups including both international and Kent undergraduates from across the social sciences. The program is based on a problem-based learning initiative framework. In this learning model the teachers (or instructor) give the tools, via lectures and seminars, to enable to students to conduct an investigation into a real-world problem that they get to define. The group project of 4 or 5 students is where they apply the knowledge they are learning to a problem that they define and of direct interest to them on the theme of gender and society.

This module aims to develop key statistical skills in students. Learning will be oriented towards:

  • Assessing the strengths and limitations of using regression analysis for the establishment of causal inference; This includes:
    • Distinction between causality, correlation or association
    • Levels of measurement (e.g. nominal, ordinal, interval, ratio)
    • Methods of regression analysis (e.g. OLS and logistic regression) and related assumptions
  • Learning how to respond to research questions with the application of statistical methods of analysis, mainly regression methods, with the help of statistical software.
  • Learning how to interpret the outcome of regression models and contextualise the results within broader theories.

For additional reasons to join us, visit our Canterbury Summer Schools overview.

The Quantitative Methods Summer School is part of the University of Kent Summer School programme. It will allow you to make lasting connections with students from around the world, studying a range of subjects but sharing your own enthusiasm. International study will enable you to gain a deeper understanding of another culture, make lifelong friends from a wide variety of backgrounds and benefit from globally-renowned academic excellence.

Please note: if you are a current Kent Social Sciences student seeking to add Quantitative Methods to your undergraduate degree please visit https://www.kent.ac.uk/qstep/summerschool.html

Arrival date: Sunday 17 June - Sunday 01 July 2018

Providing School: School of Social Policy, Sociology and Social Research

Campus: Canterbury

Credit Transfer Option: 15 Credits (ECTS 7.5) for transfer purposes.

Price: £1500 (earlybird) for two weeks. Includes tuition, accommodation, teaching materials, welcome meal, organised trips and full library access

 

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Learning outcomes

By the end of this International Summer School course, you will:

Intended specific learning outcomes

    1. Demonstrate knowledge of validity, reliability and transparency issues when carrying out statistical analyses;
    2. Understand the difference between descriptive statistics (i.e. central tendency and dispersion) and inferential statistics (i.e. correlation, regression);
    3. Demonstrate an ability to select the correct method of statistical analysis (description, correlation/association, statistical inference) based on the research question under study, the study design and data available;
    4. Demonstrate at least a basic ability to read, understand and report/represent (e.g. tables, graphs) the results of regression analyses;
    5. Demonstrate at least a basic ability to carry out multiple forms of regression analysis with the help of statistical software (e.g. SPSS, Excel).
    6. Demonstrate at least a basic understanding of which assumptions of regression (e.g. heterocedasticity) are most often violated, and to know where to find further information about the appropriate actions to take when assumptions are not met (e.g. remove outliers);
    7. Understand at least the basic underlying principles of causality and main limitations when assessing causal inference;
    8. Understand at least at a basic level the advantages and limitations of using regression for the study of causality;

Intended generic learning outcomes

    1. Demonstrate quantitative analytical skills that will enable them to examine complex societal processes;
    2. Understand the strengths and weaknesses of quantitative methods of analysis and apply sound judgement when selecting the statistical method of analysis;
    3. Demonstrate proficiency in the use of one or various statistical software packages (e.g. SPSS)

Learning and teaching methods

The teaching takes problem-based learning approach where students work in mixed-subject groups to define their own research question and complete the research over the two weeks. Lecturers will support the students with tuition on the adequate tools to be used for their research and guide them through the research process.

Total number of study hours will comprise 100 hours which will include elements of independent and private study as follows:

14 hours lectures, 9 hours seminars, 18 hours of research supervisor-supported group work, 59 hours independent study

Total: 100 hours

Assessment

  • 55% for subsequent individual report where the analysis and an extra work from the feedback in the conference due 3 weeks after the end of the course and returned 10 days later.
  • 40% awarded for the group work exercise, assessed via a student led conference on the last day of the 2 week course where marks are awarded to all members of the group dependent on the overall quality of the research topic.
  • 5% for regular and punctual attendance to each of the 10 days (including 9 lectures, 9 seminars and the final day conference)

Indicative Timetable

Monday 

Tuesday

Wednesday 

Thursday

Friday

AM Welcome and Registration

AM Group Work

AM Group Work

AM Group Work

AM Group Work

Introduction to the Course

Guest Lectures, inc. Prof. Miri Song - The Measurement of Ethnicity

Lecture 2: Categorical and Continuous Data and Descriptive Statistics

Lecture 3: Contingency Tables and Chi Squared

Lecture 4: Inference for Proportions and Means

Lecture 5: Correlation

Next Steps

Next Steps

Next Steps

Next Steps

Lecture 1 - What is Data?

Group Work

Group Work

Group Work

Group Work

Group Work

Expert Lunch 1 - "Numbers at Work"

Group Work

PM Seminar 1 - Introduction to SPSS and the Data Archive

 

 

PM Seminar 2 - Variable Selection, creating and using descriptive statistics

 

PM Seminar 3 - Bivariate Analysis

 

 

 

PM Seminar 4 - Inference for Proportions and Means

 

 

PM Seminar 5 - Correlation and Outliers

 

 

To gain entry on to the Canterbury Quant Summer School you will need to be either:

  • studying at a university outside the UK or at a UK university and considering options for further study in the UK
    or
  • a professional exploring options for undergraduate or postgraduate study in the UK. 

You will also need to:

  • demonstrate an interest in and an aptitude for the study of Quantitative Methods and Research, with a general confidence with Maths (minimum B in GCSE Maths or equivalent). This is an introductory course so those who have worked extensively with quantitative methods will not find this course useful.
  • interest in social issues and social policy
  • have at least IELTS 6.0 or equivalent with a minimum of 5.5 in each skill. If you have an alternative test/proof of your English language ability then you can mention this is your application and upload this instead. Students must feel confident reading, writing and liaising in English to attend this course.

Fees and Scholarship

A reminder that you can apply for one course from each block, and also combine with our Paris and Brussels Summer Schools in most cases, as set out here.

The Scholarship application deadline is 5pm on Fri 30 March 2018. You can still apply after this date for a paying place.

Fees

Pay by Monday 16 April 2018 and receive an Early Bird discount of £100 per course.

  Earlybird Price
Standard Price
Without Accomodation £1,250 £1,350
With Accomodation included £1,500 £1,600

 

Fees Include full tuition for the summer school, accommodation, teaching materials, a welcome meal, full access to the University library facilities and social trips each Wednesday and at the weekend into London.

The final deadline for payment to secure your place on this course is Fri 28 May 2018

Scholarship Opportunities

We have 20 x £500 Internationalisation Scholarships available for the Canterbury Summer Schools available to students not currently studying at the University of Kent. If you wish to apply for a scholarship you will need to select 'School scholarship' at application and apply by Fri 30 Mar 2018. We will use your Reasons to study as part of the application form as the scholarship application. If you are a current student at another institution you may also wish to enquire about any mobility scholarships within your home institution or Government.

Refunds:

You must email summerschools@kent.ac.uk to notify us of your withdrawal from a course as soon as you know that you will not be attending the course and before travelling to the UK. We will charge a £250 administration fee, unless there are exceptional extenuating circumstances for the withdrawal.

Accommodation details

The accommodation for this summer school is based in Park Wood flats and is offered on a self-catered basis. Students will be placed in their own double rooms equipped with en suite facilities. Check-in is after 14h00 on the first Sunday and check-out is before 10h00 on the final Sunday. All students will be offered University accommodation (included in fee), although if you wish to make alternative arrangements you can pay tuition fees only, saving £250 per two-week course.

Additional details about our accommodation is available on our Accommodation webpage.

Course information:

Please note that in order for the course to run a minimum of 6 registered students is required. Please do not make arrangements for travel until you have received your welcome and induction pack.

Getting here

You will find useful directions to the Canterbury Campus on our Directions page. Students who wish to arrange a taxi transfer from one of the London airports may wish to visit our Booking a Taxi in the UK page

 

 

For enquiries please use the form below

 

 

 

Every effort is made to ensure that the information contained in publicity materials is fair and accurate at the time of going to press. However, the courses, services and other matter covered by web pages and prospectuses are subject to change from time to time and changes may need to be made following publication and/or after candidates have been admitted to the University. Please see our institution wide Terms and Conditions / Disclaimer page for further information. Please note that modules shown are based on the current curriculum, but are subject to change.

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Last Updated: 03/11/2017