ACADEMIC ENGLISH FOR DOCTORAL RESEARCHERS (8ALDS001W)

Book your place: email referral form (see below).

This is an accessible and inclusive module for all students who would benefit from extra support with expression in English at doctoral level.

The module is delivered in the first semester of each academic year. It is delivered in the form of seven taught group sessions followed by three individual tutorials. The latter will be based on your own written work.

The taught group sessions will take place on the following dates from 2- 4pm. All classes will take place online via Blackboard Collaborate Ultra and all materials will be located on Blackboard.

  • 19 October 2021
  • 26 October 2021
  • 2 November 2021
  • 9 November 2021
  • 16 November 2021
  • 23 November 2021
  • 30 November 2021

The individual sessions will be organised at mutually convenient times between the Module Leader and students during the second semester.

If you would like to register for the module, you will need to be referred by your Director of Studies. They will need to complete the referral form and email this to Richard Paterson (r.paterson@westminster.ac.uk). Once you have been referred, you will be asked to complete a diagnostic assessment to make sure that the module is right for you.

Referrals from DoSs will need to reach Richard Paterson by Friday 8 October 2021. You will receive an emailing confirming your place on the module by Friday 12 October.

If there is a high demand for places a second module will run in the new year. Referrals from DoSs will need to reach Richard Paterson by Friday 27th January 2022.

Taught group sessions will take place on:

1st February 2022
8th February 2022
15th February 2022
22nd February 2022
1st March 2022
8th March 2022
15th March 2022

The university also provides support around writing through the Academic Liaison and Learning Development Team. One to one sessions and Postgraduate Cafes are available through them. Information on all they offer can be found here.

QUANTITATIVE METHODS TRAINING

The following three workshops are building on one another, guiding you through the process of designing an empirical study and analysing the findings with basic statistics as well as more advanced statistics. Doctoral researchers who have the knowledge of earlier workshops can skip those and attend the more advanced ones only.

Workshop 1 – Design of Empirical Research Studies with Human Participants

15 February 2022, 9am to 4pm

This workshop aims to give a broad overview of designing empirical research studies with human participants, covering research questions, sampling and required sample size (power analysis), choice of variables and measurement techniques, as well as design of experimental and correlational studies. It also provides a theoretical basis for techniques which may be practised during practical exercises.

  • Introduction to the design of empirical research studies: experimental and correlational studies; experimental controls; selection and recruitment of subjects; piloting; ethical considerations
  • Measurement through observation of behaviour: direct and indirect observation; recording techniques; measurement of behaviour; activity sampling
  • Measurement through questionnaires and interviews: ranking methods, rating scales, application in interviews and questionnaires
  • Good practice in research methods – an overview: ethics, avoiding questionable research practices, open science, preregistration

Literature:

Bourne, V., James, A. I., & Wilson-Smith, K. (2021). Understanding quantitative and qualitative research in psychology: A practical guide to methods, statistics, and analysis. Oxford: Oxford University Press.

Prerequisites and preparation for this workshop:

Participants need to bring a laptop that has Microsoft Word installed and running on it.

BOOK YOUR PLACE HERE FOR WORKSHOP 1

Workshop 2 – The Basics of Statistical Analysis

18 February 2022, 9am to 4pm

 This workshop aims to provide an introduction to basic methods used to analyse data from empirical studies with human participants, describing the key features of the data in a study with scientific language. It explains how to compute descriptive statistics and create graphs to visualise quantitative data as well as how to test hypotheses, covering the most commonly used types of inferential statistics and their assumptions. This workshop will be run with the software package SPSS. This workshop will be run in a modular fashion, where some of those aspects shown in parentheses will be covered, depending on PhD students’ needs and wishes in this teaching year.

  • Descriptive statistics
    • Types of data and data management
    • Distributions, esp. normal distribution
    • Central Tendency and Variability
    • Measures of central tendency (mean, median, mode)
    • Measures of variability (range, variance, and standard deviation)
    • The importance of variability
    • (Tables and graphs)
  • Testing Hypotheses
    • Probability
    • Null and Alternative Hypothesis
    • Sampling distribution and statistical decision making
    • Statistical significance and confidence intervals
  • Inferential statistics
  • (Non-parametric tests)
  • (Chi Square)
  • t-test, ANOVA (ANCOVA, MANOVA)
  • Correlation and Multiple Linear Regression

Literature:

Field, A. (2018, 5th ed.). Discovering statistics using IBM SPSS statistics.

Prerequisites and preparation for this workshop:

  • Participants need to bring a laptop that has the newest version of SPSS installed and running on it.
  • Participants need to make sure they have a good understanding of the design of empirical research studies with human participants before attending this workshop. This can be from attending Workshop I in this series of workshops or from a BSc or MSc degree in a relevant discipline.
  • To prepare for this workshop, participants are asked to read the first three chapters from Andy Field’s (2018) book and take notes of key points as well as any questions they may have.

BOOK YOUR PLACE HERE FOR WORKSHOP 2

Workshop 3– An Introduction to R

3 March 2022, 9am to 4pm

This workshop aims to provide an introduction to R, targeted primarily at users of SPSS. As many advanced statistical techniques are not available in SPSS and as R packages are constantly being developed and updated by the research community inside and outside of academia, R is becoming the method of choice for many procedures. This workshop will build on participants’ skills of structuring and analysing data in SPSS and show how this can be implemented in R.

  • Introduction to R: The R environment and R Studio, writing syntax in R
  • Importing and managing data in R
  • Creating graphs in R
  • Running basic statistical analyses in R
  • Outlook: How opportunities for data analysis in R go far beyond SPSS

Literature:

Field, A., Miles, J., & Field, Z. (2012). Discovering statistics using R. London: Sage.

Prerequisites and preparation for this workshop:

  • Participants need to bring a laptop that has the newest version of SPSS installed and running on it.
  • Participants need to have R and R Studio installed and running on their laptop.
    1. Installing R: https://cran.r-project.org/mirrors.html
    2. Installing R Studio: https://www.rstudio.com/products/rstudio/download/
  • Participants need to make sure they have a good understanding of the design of empirical research studies with human participants before attending this workshop. This can be from attending Workshop I in this series of workshops or from a BSc or MSc degree in a relevant discipline.
  • Participants need to make sure they have a good understanding of the basics of statistical analyses with SPSS before attending this workshop. This can be from attending Workshop II in this series of workshops or from a BSc or MSc degree in a relevant discipline.
  • To prepare for this workshop, participants are asked to read the first four chapters from Andy Field’s et al. (2012) book and take notes of key points as well as any questions they may have.

BOOK YOUR PLACE HERE FOR WORKSHOP 3

RESEARCH METHODS MODULES AT MASTERS LEVEL

Doctoral research can sometimes mean that you will need some training in new research methods. The university runs a large number of research methods modules across its many masters programmes and it may be that joining some or all of the seminars of one of these modules will be useful to you. If you think that sitting in on one of these would be useful for your research, please discuss it with your Director of Studies. If you decide together that it would be helpful, then you should contact the Module Leader to ask if they would be happy for you to sit in on the class.

You can find the lists of research methods modules on the link below:

Level 7 Research Method Modules Audit Latest 21 22

ACADEMIC LIAISON AND LEARNING DEVELOPMENT WORKSHOPS

A number of video resources are available:

Library Guide for doctoral researchers.

This is a recorded presentation which provides a useful introduction to the resources and support available to you.

Introduction to Mendeley Reference Management Software

Introduction to NVIVO

Managing your References

Literature Searching

26 October 2021
Book your place here

OR

23rd February 2022

Book your place here

A literature search is a considered and organised search to find key literature on a topic. In this session we will introduce techniques and tools to help you:

define what you are searching for

decide where to search

develop a search strategy

refine your search strategy

save your search for future use.

know where to find further help

An Introduction to Zotero Reference Management Software

3rd November 2021
Book your place here

Zotero [zoh-TAIR-oh] is a free, easy-to-use tool to help you collect, organize, cite, and share your research sources. In this session we will introduce you to Zotero and it’s functionality.

An Introduction to Refworks Reference Management Software

5th November 2021
Book your place here

OR

11th February 2022
Book your place here

Finding your academic voice

9th November 2021
Book your place here

Know your Mendeley from your Zotero (or Refworks): Q&A

16th November 2021
Book your place here

Ethical and Effective Use of your Resources in your Writing

Doctoral researchers at all stages are welcome to attend this session. We will discuss the principles behind referencing, quoting, paraphrasing and synthesising to ensure sources are effectively and ethically integrated into your academic work.

24th November 2021
Book your place here

or

13th April 2022
Book your place here

Writing for Journals – your Publication Strategy

These on-line workshops are for PhD researchers who want to develop a strategic approach to their publishing.  Three weekly workshops explore benefits and challenges associated with developing a more strategic approach to publishing.  They include a series of activities, guided reflection, discussion, and advice to help participants’ develop a writing and publication strategy which reflects their personal and career objectives.  Workshop 1 will consider the benefits and pitfalls associated with writing in collaboration.  Workshops 2 and 3 will explore approaches identifying and selecting appropriate journals and then delving deeper into the conventions and existing debates within those journals.

Week 1: Writing in collaboration or alone
28th February 2022
Book your place here

  • How do we write?
  • Exploring norms in different subject areas/specialisms
  • Discussing the advantages and disadvantages of writing with supervisors or colleagues
  • Collaborative writing – approaches to setting out the rules/norms

Week 2: Targeting and researching your journal (Part 1)
7th March 2022
Book your place here

  • Understanding journal ranking
  • Thinking about your research strategy – what are your personal objectives?  What other factors are relevant?
  • Starting to explore journals and select a shortlist.

Week 3: Targeting and researching your journal (Part 2)
14th March 2022
Book your place here

  • Selecting your journal  
  • Exploring the conventions of that journal
  • Starting to design a paper specifically for that journal
  • Reflections and feedback  
How to write a literature review

8th March 2022
Book your place here

The main purpose of a literature review is to situate new research (to be described in detail later), within the existing body (or bodies) of published knowledge. This requires the author to first undertake an analysis of all the relevant earlier and current research. This analysis is concerned with first describing the established knowledge, and then with identifying and articulating the earlier and current debates, inconsistencies, and tensions in the published work.

The analysis is followed by a synthesis, in which the new research is integrated creatively with the existing knowledge. This requires the development of arguments for justifying the new research undertaking, in terms of its contribution to progress in the field. Given that there are no precedents for the new research being described, this necessitates a greater presence of the author’s unique ‘voice’ in the writing.

Whilst the literature review in journal papers may be relatively brief in some academic disciplines, in a thesis it is always a more comprehensive undertaking. This requires the researcher to work continuously, in terms of planning and writing the review. Initially this may begin as an annotated bibliography, but later on it takes the form of an outline review that will be revised, edited and updated continuously as the research progresses.

This on-line presentation will describe how to write a literature review in five stages, and examples will be shown of reviews from different disciplines. In addition it will provide information and examples of some of the pitfalls that have been observed in reviews from the perspective of the reader (ie examiner/peer reviewer).

RESEARCH DATA MANAGEMENT

Introduction to Research Data Management

This is a recorded presentation which provides a useful introduction to what Research Data Management is and why it is important.

Link to Panopto recording

Transcript_Introduction to Research Data Management

There is also an interactive workshop available – see below.

Write your own data management plan
21 March 2022
Book your place here

All the physical or digital materials that underpin your final doctoral thesis are research data: from photographs of archival documents, reading notes and bibliographies, to spreadsheets, software, instrumental data, and 3D models. When planning your doctoral research, it is good practice to think about how you will collect, store, organise, and share this research data during and after the lifetime of your doctoral programme. This session introduces the basic principles of research data management across the research data lifecycle, from creation to publication. The second half of the workshop will comprise a practical exercise: ‘write your own data management plan’ for your doctoral research project. The University’s Research Data Management Officer [and an academic subject specialist] will be on-hand to answer any questions.

This session will enable doctoral researchers to:

  • understand what ‘research data’ is (cross-disciplinary)
  • understand the benefits of developing a research data management plan
  • create a data management plan (DMP) for their doctoral research project
  • locate guidance and support for managing research data both within and beyond the University
WORKING WITH OTHERS

All research involves working with others, whether that means thinking about what our reader needs when we are writing, engaging in discussion with supervisors and with others in our field, or joining with others to turn ideas into funding proposals or entrepreneurial schemes. This workshop will give you the opportunity to think about how best to work with others through your degree and beyond.

Click on the appropriate link below to book a place.

Working with Others in Social Sciences, Humanities and Architecture (SHAPE)
4th May 2022
: book your place here

Working with Others in STEMM Subjects
6th May 2022: book your place here

Working with Others in Business
3 May 2022: book your place here

Working with Others in Arts, Media and Communication
3 May 2022: book your place here

WRITING RETREATS

Writing retreats are a fantastic opportunity for researchers to concentrate on writing in a supportive atmosphere in a way that can increase both productivity and confidence. The DRDP supports two different kinds of writing retreat – residential and on campus.*

Both kinds of writing retreat follow the model of the structured-writing retreat (Murray and Newton, 2009), and are facilitated by colleagues who have been trained in this method. The retreats are designed around a well-being model, and the aim is to provide and enforce writing time in a relaxed, supportive and peaceful environment. The group writes together, during prescribed time-slots.

The residential writing retreats are held at the Abbey, Sutton Courtenay, Oxfordshire twice each academic year (December and July). There will be 10 places available for doctoral students. Travel costs (train/taxi) will be reimbursed after the retreat.

Instructions on how to apply for the residential retreats will go out via email in the middle of the first semester for the December retreat and early summer for the July retreat.

WINTER RESIDENTIAL WRITING RETREAT
15 – 17 December 2021
Visit this page for full information and the application form.

SUMMER RESIDENTIAL WRITING RETREAT JULY 2022
Details to be announced

The on-campus writing retreats will all take place once a month through the academic year. Lunch will be included. You can book as many of these as you wish.

If you cannot attend in person, you can book to join in online. Follow the booking link for the date in question below, and you will see an online booking page link in the VRE information.

Book a place on your preferred workshop below:

An Introduction to qualitative research methods

18th November 2021
BOOK YOUR PLACE HERE

OR

19th May 2022
BOOK YOUR PLACE HERE

In this one day course, students will be introduced to both the basics and new thinking in qualitative research. The course is suitable for the beginner and those looking to refresh their knowledge.

Part 1 – Building a project

  • defining your objective
  • developing a sample
  • writing a screener
  • devising a methodology
  • writing a discussion guide

PART 2 – Delivering a project

  • focus group best practice
  • behavioural economics and the focus group
  • projective techniques
  • effective reporting
FOREIGN LANGUAGES

Where foreign language proficiency is deemed essential for carrying out doctoral research projects, the University will facilitate relevant training through Polylang, the university’s open language programme, which is open to all students as well as to members of staff, our alumni community and members of the public. All levels are catered for, from beginner to advanced. Doctoral researchers should seek advice from their Director of Studies and discuss support needs with their School DRDP Co-ordinator.

You may also want to learn a language beyond the demands of your doctoral research, but if you wish to learn a language beyond your research, you will need to cover the fees yourself.

For more information on what Polylang offers, see here.


University of Westminster
309 Regent Street, London W1B 2UW
General enquiries: +44 (0)20 7911 5000
Course enquiries: +44 (0)20 7915 5511

The University of Westminster is a charity and a company limited by guarantee.
Registration number: 977818 England
Accessibility | Cookies | Terms of use and privacy