National Centre for Research MethodsComprehensive Training In Research MethodsNCRM delivers training and resources at core and advanced levels, covering quantitative, qualitative, digital, creative, visual, mixed and multimodal methods. The National Centre for Research Methods (NCRM) delivers cutting-edge research methods training and capacity building across the UK. We provide courses and resources for both learners and trainers, supporting the research community in the social sciences and beyond. Visit our website HERENational Centre for Research MethodsAdvanced Critical Praxeological Analysis: Designing a Project and Writing a Paper (online)DescriptionCritical Praxeological Analysis (CPA) is a new approach which provides a way of conducting critical qualitative research. Critical Praxeological Analysis (CPA) synthesises ideas from three key areas: Wittgensteinian philosophy, particularly the method of grammatical investigation; ethnomethodology and conversation analysis, with a focus on praxeological gestalts; and critical research, especially critical phenomenology. This synthesis provides a robust method for critical qualitative research. In this two day online advanced course, the authors of the approach, Khadijah Diskin and Phil Hutchinson, will help participants identify and plan a project of study, handle data, and make a start on developing a research article. This course will assume an understanding of the basics of CPA and spend minimal time on a brief recap of these (see NCRM's online course Introduction to CPA - 10-11 September 2025 if you feel you need an introductory course first). The idea is for participants to make significant progress on work towards a CPA article for publication, either individually or working with other participants on the course as co-authors. The convenors will provide advice on every stage of the process and offer follow-up 1:1 sessions to participants. The course (22 October) will focus on supporting participants in designing and carrying out a project and writing a paper. Two weeks after the course (29 October) there will be a data session, where those who attended the course can bring their data for the group to analyse. By completion of the course:
Payment using the Online Store can only be completed via Visa and Mastercard Credit/Debit Card or PayPal. AMEX is not accepted
Advanced R as a GIS: Spatial Analysis and Statistics - OnlineDescriptionIn this online course, run over two mornings, we will show you how to prepare and conduct spatial analysis on a variety of spatial data in R, including a range of spatial overlays and data processing techniques. We will also cover how to use GeoDa to perform exploratory spatial data analysis, including making use of linked displays and measures of spatial autocorrelation and clustering. The course covers:
By the end of the course participants will:
This course is aimed as PhD students, post-docs and lecturers who have some existing knowledge of using R as a GIS and want to develop their knowledge of spatial stats and spatial decision making in R. Some prior knowledge of both R and GIS is required. It is also appropriate for those in public sector and industry who wish to gain similar skills. Students will be using R, RStudio and GeoDa. Students need to have completed my Introduction to Spatial Data and Using R as a GIS (https://www.ncrm.ac.uk/training/show.php?article=13142) course, or have equivalent experience. This includes:
For more information, please look at the link. Students will need R (v > 4.0), and the sf, tmap, dplyr libraries. They will also need RStudio (v > 2023.01 or greater) No prior knowledge of GeoDa is needed. It can be downloaded following the instructions at https://nickbearman.github.io/installing-software/geoda. Version 1.20 or greater is required. THIS COURSE WILL RUN OVER TWO MORNINGS (10AM TO 1PM) AND EQUATES TO ONE TEACHING DAY FOR PAYMENT PURPOSES. Payment using the Online Store can only be completed via Visa and Mastercard Credit/Debit Card or PayPal. AMEX is not accepted
Adventures in Multi-species EthnographyDescriptionThe study of multi-species relationships is gaining momentum across the humanities, encouraging new ways of understanding how different forms of life shape worlds and societies. While many scholars explore the theoretical aspects of human and nonhuman interdependence, practical, ethnographic research methodologies in this area remain limited. This three-day workshop at the University of Manchester in 2025 explores innovative approaches for researching more-than-human agencies and experiences. It invites participants to engage with the possibilities and challenges of this work in an immersive and exploratory manner. Discussions will emphasise ethical, critical, and imaginative ways to study the nonhuman. While the focus is primarily zoological, participants will also consider interactions with plant life and other nonhuman entities. The workshop provides a unique opportunity to collaboratively shape the future of multi-species research.
The course covers:
Course format This course will be delivered as a three-day full-day workshop that blends classroom discussions with outdoor fieldwork. Mornings focus on theory, whilst afternoons focus on practical research. Participants will explore sensory ethnography, scientific collaboration, and visual research methods in urban green spaces, including riversides, parks, and a city farm. Movement-based activities allow engagement at an individual pace, with optional partner work. Sessions foster documentation, reflection, and idea exchange. The workshop’s approach encourages slow, thoughtful exploration, balancing intellectual engagement with hands-on experimentation. Led by Dr Maisie Tomlinson, with support from Russ Hedley (Nature Talks and Walks), this course offers a unique chance to explore emerging multi-species research methodologies. Attendees are encouraged to contribute and shape the field’s future. This workshop welcomes scholars across disciplines, from students to academics. While open to all, theoretical sessions follow a postgraduate standard. Prior knowledge of qualitative research is advised. Outdoor fieldwork will proceed in all weathers—waterproof clothing recommended. Mobility accommodations are available with advance notice. Field locations, within 45 minutes of the university, will be accessed by public transport and taxi. Please read at least one of the following:
Payment using the Online Store can only be completed via Visa and Mastercard Credit/Debit Card or PayPal. AMEX is not accepted email 23/05/25
Best Practices in Coding when working with Administrative Data - OnlineDescriptionThis course provides an introduction to coding when working with administrative data. The course will include an overview of best practices in coding, with hands-on sessions using synthetic data and different programming languages: R, Python and SQL. It will also discuss the use of AI in coding. The course will be delivered in three interactive sessions, with breakout rooms in each session, as well as opportunities to engage with the instructors. All Participants need to attend the first session on Tuesday 29 July (09:30-11:00), with options on the additional sessions. The price is the same, irrelevant of how many sessions you attend. Tuesday 29 July 2025
Options:
Registrants will be contacted following booking to confirm which sessions they wish to attend. By the end of the course participants will:
This course is open to anyone who uses, or will use administrative data. Some knowledge of data manipulation is required. Participants will be sent instructions as to how they can access Datacise and synthetic ASHE-Census data. Please note that, in order to download the synthetic ASHE-Census data, you will need to register with the UK Data Service. Payment using the Online Store can only be completed via Visa and Mastercard Credit/Debit Card or PayPal. AMEX is not accepted
C-BEAR Summer School - Introduction to Experimental Methods in Social SciencesDescriptionThis five-day workshop introduces participants to the theory and practice of experimental methods in the Social Sciences. It provides an overview of prevalent approaches—specifically lab, field, and survey experiments—offering a solid introduction to experimental methodology and the practical skills needed to design, implement, analyse, and present experiments. The course is designed for researchers, PhD students, professionals, and members of public institutions, particularly those new to experimental methods or those with experience in one method (survey, field, or lab) who wish to deepen their knowledge of the others. No prior knowledge of experimental design or statistics is required. The course is also suitable for those looking to commission an experiment through a survey company or other service provider. The workshop aims to equip participants with the skills to design, implement, analyse, and report experiments, as well as to critically evaluate experimental literature. Additionally, the workshop will provide a brief overview of service providers for marketing experiments (Facebook, Google), access panels and online marketplaces (Lucid, MTurk, Prolific), and survey providers that support experiments (YouGov, Ipsos). Participants will also be introduced to Qualtrics, Stata, R, and Excel as tools for experimental research with practical exercises. An interdisciplinary team of faculty members from the Centre for Behavioural, Experimental, and Action Research (C-BEAR) will lead the workshop, drawing on examples from Politics, Economics, Business, and Psychology. Each day, two faculty members from different disciplines will co-teach, fostering a dynamic and dialogic learning environment. The workshop will be interactive and hands-on, incorporating group work and practical exercises. The workshop will also cover responsible research conduct in experimental studies, including research ethics, pre-registration, and debriefing practices for deceptive research designs. Course Content Days 1 and 2 will provide the basic knowledge to design, analyse and present experiments such as randomised controlled trials (RCTs), while Days 3, 4, and 5 will focus on survey, field and laboratory experiments. Participants need to bring their own device that can run basic office suites, and free versions of R and Stata. A tablet with a keyboard might also work. Payment using the Online Store can only be completed via Visa and Mastercard Credit/Debit Card or PayPal. AMEX is not accepted.
Conducting Ethnographic Research - OnlineDescriptionThe aim of this two-day online training course is to introduce participants to the practice and ethics of ethnographic research. Through a mix of plenary sessions, group and independent work, participants will learn the basic principles of participant observation and research design, as well as the foundations of ethical ethnographic research. The course will also examine the ways in which other qualitative and creative methods of data collection may be productively integrated in ethnographic research. The course covers:
By the end of the course participants will:
The course is suitable for any professional researchers interested in learning more about using ethnographic methods – whether within or outside academia (private sector, government researchers, etc.). The course is likewise suitable for postgraduate students in any social science (human geography, sociology, business school, political sciences, area studies, education, etc.) with prior knowledge of any qualitative research methods, but not necessarily of ethnography. Some prior training in qualitative research methods, broadly defined – regardless of whether that includes ethnographic methods specifically. Programme Day 1 Morning session:
Afternoon session:
Day 2 Morning session:
Afternoon session:
Payment using the Online Store can only be completed via Visa and Mastercard Credit/Debit Card or PayPal. AMEX is not accepted.
Ensuring Comparability in Cross-National Surveys: Methods and Key Topics - OnlineDescriptionHow does ideological positioning, such as identifying as right-wing in the UK, compare across countries like Germany or Sweden? How can a single question in a cross-national survey account for contextual differences (where they exist)? Who should we ask to ensure nationally representative results, and how should we analyse and interpret the data across different countries? This two-day online workshop equips participants with the tools to design, analyse, and interpret cross-national surveys, tackling key challenges such as measurement equivalence, sampling techniques, data harmonization, and weighting adjustments. Participants will explore how the Total Survey Error (TSE) Framework can help identify and address measurement error, nonresponse error, and sampling error—key factors that influence data quality and comparability. The course will focus on practical issues like the impact of question wording on survey results, the influence of social desirability bias across cultures, and the role of cultural and demographic variability in shaping responses. Participants will be introduced to Multi-group Confirmatory Factor Analysis (MG-CFA) as a method for assessing measurement equivalence in diverse contexts. We will also cover essential sampling methods in cross-cultural survey research, as well as weighting techniques designed to make survey results nationally representative, while addressing the challenges of weighting in cross-national surveys. The course covers:
By the end of the course participants will:
This course is aimed at all researchers interested in using cross-national survey data, mainly from social sciences and related disciplines would benefit from the course. Participants should have a basic understanding of linear regression analysis. Payment using the Online Store can only be completed via Visa and Mastercard Credit/Debit Card or PayPal. AMEX is not accepted.
How to Use Gen AI: A Beginner’s Workshop for ResearchersDescriptionThis two-hour and 30-minute workshop will explore what Gen AI tools exist that are helpful for researchers and how we can use them to optimise research processes. It is a workshop for Gen AI beginners, not Gen AI experts. We will explore a range of mainstream Gen AI tools (e.g. ChatGPT, Claude, Co-Pilot) and research-specific ones (e.g. Sc iSpace, Research Rabbit, Elicit) and examine how they work through hands-on tasks. By the end of the workshop, you will feel confident in what Gen AI can do (and what it can’t!), how to prompt engineer for research tasks, and the ethics of using Gen AI as a researcher. The course will take place on Teams or Zoom on the 1st of July from 10:00 to 12:30. Pre-requisites This is an entry-level course, no previous knowledge and no prior reading is required. The session will only use free GenAI tools. Payment using the Online Store can only be completed via Visa and Mastercard Credit/Debit Card or PayPal. AMEX is not accepted email 30/04/25
Introducing Qualitative Longitudinal Research: From Design to Analysis (online)DescriptionThis one-day online, interactive course will provide a practical introduction to qualitative longitudinal enquiry. The morning session will explore key design features of this methodology, including how to build time into a study, how to sample through time, how to generate temporal data, the ethics of longitudinal enquiry, and the potential to create real-time impact in policy processes. The afternoon session will focus on the intricate nature of QL analysis. The course will comprise two lectures and two interactive workshops (see below and attached programme for further details). The course will be delivered by Anna Tarrant and Kahryn Hughes, specialists in QL research and authors of multiple books and papers on this methodology. The course will run from 10am to 5pm and covers the following:
By the end of the course participants will:
The course is suitable for doctoral and established researchers who are either new to this methodology or wish to refresh or enhance their research practice. Delegates will receive a course pack, comprising powerpoint slides and data files from the Following Young Fathers Study. Payment using the Online Store can only be completed via Visa and Mastercard Credit/Debit Card or PayPal. AMEX is not accepted
Introducing Qualitative Secondary Analysis: from why to do it, to how to do itDescriptionThis one-day online, interactive course will provide a practical introduction to Qualitative Secondary Analysis. The morning session will explore key debates and histories characterising the beginnings of this methodology, including how and why we might use existing qualitative data, how to sample from and across datasets and repositories, the unique ethical considerations of using existing qualitative data, and the potential of Qualitative Secondary Analysis to produce new and relevant research findings. The afternoon session will focus on the practicalities of analysing existing data, exploring the possibilities for these methods for delegates’ own research and the diversity of research designs made possible through data reuse. The course will comprise two lectures and two interactive workshops (see below for further details). The course will be delivered by Kahryn Hughes and Anna Tarrant, both specialists in QSA, and the authors of numerous books and papers based on research innovating in this methodology. The course will run from 10am to 4pm. In the first presentation of the day, delegates will be introduced to the key debates and challenges characterising the histories of Qualitative Secondary Analysis (QSA). They will be introduced to early debates interrogating the particularities of reusing qualitative data and the evolution of questions from whether we should reuse qualitative data to how we might do it. In the second presentation of the day, delegates will be introduced to methods and ethics of QSA, sources of qualitative data and the practicalities of sampling within and across datasets and repositories In afternoon workshops, delegates will get more ‘hands on’ with existing data with an opportunity to analyse short excerpts from real world research, and engage in guided reflection on the possibilities and limitations of this methodological approach. A second practical session will offer delegates the opportunity to consider possible research designs incorporating QSA in their own research. The course is suitable for doctoral and established researchers who are either new to this methodology or wish to refresh or enhance their research practice. Delegates will receive a course pack, comprising powerpoint slides and data files from the Timescapes Archive. Payment using the Online Store can only be completed via Visa and Mastercard Credit/Debit Card or PayPal. AMEX is not accepted
Introduction to Critical Praxeological Analysis (online)DescriptionCritical Praxeological Analysis (CPA) is a new approach which provides a way of conducting critical qualitative research. Critical Praxeological Analysis (CPA) synthesises ideas from three key areas: Wittgensteinian philosophy, particularly the method of grammatical investigation; ethnomethodology and conversation analysis, with a focus on praxeological gestalts; and critical research, especially critical phenomenology. This synthesis provides a robust method for critical qualitative research. In this online introductory course, the authors of the approach, Khadijah Diskin and Phil Hutchinson, will provide newcomers with a foundation in CPA, by laying out the philosophical background, outlining the stages of project development and analysis, and then ending the day by facilitating a CPA data session on some recent data that might serve as a topic for CPA studies. This course will assume no prior knowledge of either CPA, Critical Phenomenology or Ethnomethodology and Conversation Analysis and so works as perfect introduction for those who are looking for a method of critical qualitative research. The course will cover the following: CPA – Respecifying Critical Research. We explain how the purpose of CPA is to provide a procedure for conducting critical qualitative research. Where much critical research is based in theoretical or formal analyses, CPA provides a process for conducting qualitative praxeological analyses which are designed to recover the experiences of members of society. CPA – The philosophical resources of CPA. We introduce the resources that feed into CPA. These are the grammatical investigations of Wittgensteinian philosophy, the praxeological Gestalts of ethnomethodology and CPA’s concept of discordant Gestalts and the extending of the unique adequacy requirement. Each of these will be explained in easy-to-grasp ways with the use of examples. CPA – Selecting a topic and designing a project. We take you through a step-by-step process of selecting a topic, designing, and executing a CPA project. CPA – Data Session We end the course by conducting a group data session on some recently acquired data. This will help participants become familiar with how a CPA researcher handles data and what it is to be attuned to aspects of the material as a CPA researcher. The data will be audio or video data gathered in the ‘wild’ and will be from recent events (i.e. 2024). Learning Outcomes:
Schedule: 10th September: 9am - 4:30pm 11th September: 9am - 2pm Payment using the Online Store can only be completed via Visa and Mastercard Credit/Debit Card or PayPal. AMEX is not accepted.
Introduction to National Pupil Database - OnlineDescriptionThis course provides an introduction to National Pupil Database (NPD), an administrative data resource covering the education system in England. The course covers:
By the end of the course participants will:
This course is suitable for anyone intending to undertake quantitative research on the school system in England. No prior knowledge of the NPD or statistical code is required to access the course. Payment using the Online Store can only be completed via Visa and Mastercard Credit/Debit Card or PayPal. AMEX is not accepted.
Introduction to Social Network Analysis - onlineDescriptionTo prevent obesity or smoking initiation among teenagers, who should be targeted in an intervention? How can we contain the spread of an infectious disease under limited resources? Who should be vaccinated first in order to be most effective during vaccination shortages? How can we dismantle a terrorist organization, a drug distribution network or disrupt the communication flow of a criminal gang? Social network analysis offers the theoretical framework and the appropriate methodology to answer questions like these by focusing on the relationships between and among social entities. Unlike transitional research methods, we shift the object of study from the individual as the unit of analysis, to the social relations that connect these individuals. A network is therefore a structure composed of units and the relationships that connect them. Network analysis is about the position of these units, the overall structure and how these affect the flow of information. The focus of this two day online course is not so much on how to express these concepts formally through mathematics, but rather on how to use appropriate software to acquire measurements for these concepts in the data and use them rigorously in empirical hypothesis testing. The majority of the course will focus on descriptive methods of network analysis, but we will also discuss network-specific models and inferential methods for network analysis. The course covers:
Learning outcomes:
Basic knowledge of Excel and data matrices will be required. This course will run from 9.00am - 5.30pm each day. Payment using the Online Store can only be completed via Visa and Mastercard Credit/Debit Card or PayPal. AMEX is not accepted.
Meaning extraction from large text data: Thematic analysis via corpus linguisticsDescriptionThe problem: Your team collected thousands of words of data. You try a traditional thematic analysis of the text. Soon, colour coding, close reading, writing ad hoc reflections about the text become too onerous a task. You doubt the validity of your observations. You wish there was another way to streamline the process, that would extract key themes in data in a faster and empirically-valid way. Solution: Join us for a session in which we showcase empirical methods for the extraction and analysis of meaning, concepts, and themes in texts. The session will provide training in corpus linguistics and mixed-method tools that enable the analysis of texts in an empirical, bottom-up fashion. Through a range of case-studies, you will be guided to extract meaning and other thematic patterns from texts to gain insight into thoughts and behaviours of authors of those texts. We will share best practises on the thematic analysis of various data types, such as diaries, interview transcripts, data scraped from the web, and outputs of both new and traditional media. We also demonstrate ways of building the results of such analyses into answering research questions, developing business strategy, or a public policy. This session will be run by researchers from the University of Sussex’s Concept Analytics Lab (https://conceptanalytics.org.uk/) using texts from Mass Observation Archive https://massobs.org.uk/ to showcase approaches to thematic analysis. We will demonstrate solutions developed for a variety of problems and text types coming from our work with medical sciences, psychology, economics, and the energy industry. We will also show how linguistic patterns within or between texts (e.g. those that differ demographically or diachronically) can be explored, particularly through the use of new visualisation techniques. The workshop will conclude with a showcase of next-generation textual analysis tools that have been developed at Concept Analytics Lab. This will be a practical session, enabling attendees to develop hands-on experience with using corpus analysis tools. The course will consist of six hours of training over the course of one day [9.30am - 5pm] and will be delivered online. The course covers:
By the end of the course participants will:
Programme: 9:30: Welcome and introduction to corpus linguistics 10:00: Interrogating existing corpora - quantitative analysis 12:00: Lunch 13:00: Interrogating existing corpora - qualitative analysis 15:00: Break 15:15: Building your own corpus 16:15: The Concept Cruncher: The next generation of text analysis 16:45: Final remarks Payment using the Online Store can only be completed via Visa and Mastercard Credit/Debit Card or PayPal. AMEX is not accepted.
Navigating Complexity: Qualitative Research in Challenging Field Settings - OnlineDescriptionThis course is designed to familiarize students and researchers with various facets of qualitative research, particularly focusing on challenging fieldwork environments involving complex and intimate inquiries, expansive research scopes and diverse participant types. We will draw on our personal experience of undertaking ethnographic work and collecting semi-structured interviews with adults and children, presenting examples from the field to illustrate key challenges. The course will particularly benefit researchers engaging in qualitative research with vulnerable communities for short-term periods and in international contexts. This course will discuss:
By the end of the course participants will:
This course is aimed at students, researchers and academics in the social sciences with little or no training in qualitative methods. The course will run from 11:00-16:00 and equates to one teaching day for payment purposes. Payment using the Online Store can only be completed via Visa and Mastercard Credit/Debit Card or PayPal. AMEX is not accepted.
Political EthnographyDescriptionThis course aims to teach participants how to conduct qualitative field research, particularly participant observation and ordinary language interviewing. The course provides an understanding of the distinctiveness of ethnographic fieldwork compared to other data collection methods. By the end of the course, students should be able to understand how to conduct ethnography rigorously and the skills needed to produce high-quality ethnographic research. Students will be able to practice data collection methods associated with ethnography, such as participant observation, field notes, and ordinary language interviews. Finally, the course will discuss how to use fieldwork data to produce new and general theoretical insights. The course covers:
By the end of the course participants will:
Target Audience
There are no prerequisites. The course is designed to be accessible to those new to ethnographic research, though some familiarity with qualitative methods may enhance your experience. PLEASE NOTE THIS COURSE IS BEING HELD AT THE UNIVERSITY OF SOUTHAMPTON AND IS 2.5 DAYS LONG FOR PAYMENT PURPOSES. Programme Day 1 AM Session PM Session Day 2 AM Session PM Session Day 3 AM Session Payment using the Online Store can only be completed via Visa and Mastercard Credit/Debit Card or PayPal. AMEX is not accepted.
Queering data: Producing data on sex, gender and sexuality - onlineDescriptionQueering data introduces participants to issues surrounding the ways that sex, gender and sexuality are represented in UK data. The course focuses on the production of data via surveys, helping participants design survey questions in an inclusive, transparent and reflexive manner. It takes place over four half days (10th & 11th and 17th & 18th June), with each session on a specific theme. The first two sessions engage with critical theories surrounding how populations are categorised and counted and dives into the UK data context. The final two sessions provide participants with insights and tools for designing their own survey questions and engaging with data in an informed and reflexive manner. The recommendations provided in this course are based on a mixed method research project that directly engaged with people with relationships to sex, gender and sexuality overlooked in UK survey data. The course covers:
By the end of the course participants will:
Course format:
Payment using the Online Store can only be completed via Visa and Mastercard Credit/Debit Card or PayPal. AMEX is not accepted.
Studying Human-Computer Interaction with Video (online)DescriptionHuman-computer interaction (HCI) is an ever-more pervasive phenomenon. Many societies are at the point where avoiding interaction with digital technologies is hugely challenging. In this way HCI – both as a phenomenon and as a field of research – has the potential for widespread relevance well beyond its initial disciplinary origins (which stem largely from university computer science and psychology departments). Simultaneously, approaches from the human sciences (and arts and humanities) have pushed well into HCI’s mainstream. One strand of this having significant formative impact in HCI is, broadly, what we might gloss as ‘sociological interactionism’ or pragmatics (although ‘pragmatics’ is a less used term in HCI); that is, research approaches that foreground ‘interaction’ with / around digital technologies, infrastructures and services, and simultaneously formulate this as constitutively interactional in nature. This course will explore one key version of this trend: video-based studies of social interaction in which digital technologies play a role, whether in so-called ‘naturalistic’ settings or as part of more experimental rollouts of technology. The course will focus on approaches grounded strongly in traditions of ethnomethodology and conversation analysis. As part of this, the course will contextualise the use of video to study social life with technology, both in terms of human-computer interaction as everyday, routine phenomena, and with respect to HCI as a field (and its connections with both technical and sociotechnical fields of research). A corresponding practical element will complement these discussions. By looking at various existing examples coupled with participants having a go at their own analyses, the course will provide pointers for what is involved in doing video based EMCA studies of technology in use, including what kind of outcomes they might produce.
The course covers:
Half of the course will be dedicated to practical hands-on work:
Schedule: The course is run across two consecutive mornings with individual and group assignments inbetween and equates to one teaching day for payment purposes.
MORNING 1 9:30 Welcome, 20 second intros around the room (10 mins) 9:40 Teaching session 1 (1hr – short break included) – laying the ground work Presentations on: 1) Brief intro to human-computer interactions (scoping HCI as phenomena and discipline); 2) Primer on EMCA and HCI research and its position within HCI broadly 10:40 Break (20 mins) 11:00 Teaching session 2 (1hr – short break included) – thinking about analysis Presentations on continued intro to EMCA, and intro to using video to study human-computer interactions – note video segment will include interactive components as preparatory for exercise 12:00 Break (10 mins) 12:20 Briefing (20 mins) on the practical activity / task (video analysis) 12:40 End Afternoon session (own time): Practical activity taking place in own time in groups and / or individually (TBD)
MORNING 2 9:30 Welcome back / recap (5 mins) 9:35 Teaching session 3 (1.5hrs inc. 15 min break) – analysing data Interactive data session / feedback on video analysis task from groups / individuals 11:00 Break (10 mins) 11:10 Teaching session 4 (max 1hr – short break included if necessary) – wrap up Open: depending upon outcomes of session 3, could be further group analysis of data, opportunity for discussion and deeper questions from the course, or more structured discussion around EMCA and technology / further studies, future of HCI discourses, etc. 12:10 End Payment using the Online Store can only be completed via Visa and Mastercard Credit/Debit Card or PayPal. AMEX is not accepted.
Survey Measurement of Health: Implications for Social Science Research - OnlineDescriptionThe measurement of health in surveys involves collecting data from individuals about their health status, health-related behaviours, and experiences, often as part of multi-purpose surveys. These surveys may include both subjective self-reports (e.g., self-assessed health measures) and objectively measured health data (e.g., physical health assessments, blood-based biomarkers, or DNA data). Survey measurement of health plays a vital role in advancing social science research on health. It is essential for the analysis of health inequalities, for informing policy decisions, and evaluating the effect of interventions. By capturing individual health behaviours alongside the social, economic, and environmental contexts influencing health outcomes, surveys offer a nuanced understanding of the complex interplay between society and health. However, measurement error in health data can significantly affect and compromise the quality of social science research in health. Importantly, such errors are not confined to self-reported data. While self-reports are often susceptible to certain types of inaccuracies, other sources of error can arise, including those associated with nurse-administered health assessments or blood-based biomarker data. Survey mode – e.g. face-to-face interview, telephone interview, online questionnaire - is also well known to affect the distribution of the survey variables so is a special case of measurement error. Mode effects are hypothesised to be driven by well-known sources of survey bias such as social desirability, positivity and satisficing and the presence (or not) of an interviewer. Mode effects can be defined in the same way as causal or treatment effects and estimated from mixed-mode surveys, and estimated using the same methods. We provide an overview of methods for understanding measurement error and mode effects. We will also provide practical sessions and illustrative examples demonstrating the impact of measurement error and mode effects in the social and health sciences. The course covers:
By the end of the course participants will be able:
This course is aimed at Post-graduate researchers and analysts, including (but not limited to): Academics, Government Researchers, Third sector organisations, (Health) Consultancy analysts and Survey methodologists. Participants will need a basic knowledge of STATA. Programme TBC Day 1 9:00-11:00 Measurement error in self-reported health measures regularly available in large-scale multipurpose datasets 11:00-11:15 (Virtual) coffee break (Q&A session) 11:15-12:45 Beyond self-reported health measures – characterizing and quantifying measurement errors in administrative health data and nurse-collected bio-measures. 12:45-13:45 Lunch 13:45-14:45 Assessing the potential implications for the existing research in economics and social science that rely on health data 14:45-15:45 Practical sessions using Stata and illustrative examples Day 2 9:30-11:00 Connection between mode effects and measurement error, definition of different mode effects, identification of mode effects from mixed-mode surveys where people non-randomly select survey mode 11:00-11:15 (Virtual) coffee break (Q&A session) 11:15-12:45 Case study: Using regression and instrumental variable-based methods to estimate mode effects from Wave 8 of Understanding Society 12:45-13:45 Lunch 13:45-14:45 Practical session using Stata and illustrative examples Payment using the Online Store can only be completed via Visa and Mastercard Credit/Debit Card or PayPal. AMEX is not accepted.
SWEETS/C-BEAR: Experimental Methods for Scholarship ResearchDescriptionThis three-day workshop introduces participants to the theory and practice of experimental methods in application to scholarship research in higher education (HE). It delivers an overview of prevalent approaches, specifically using survey experiments, mixed methods and randomised control trials (RCT) providing a solid introduction to key experimental methodology. The course will focus on the practical skills needed to design, implement, and analyse scholarship in HE. Instructors include Caroline Elliott (Warwick) Fabio Arico (UEA), Paolo Spada (Southampton), Douglas McKee (Cornell), Jadrian Wooten (Virginia Tech), Annika Johnson (Bristol), Thomas Gall (Southampton), Christian Spielmann (Bristol) and Jana Sadeh (Southampton). The course covers: Day 1: Introduction to Scholarship Research in HE, choosing appropriate methods, and ethics of research in HE. Day 2: Survey and mixed methods: design, implementation and analysis Day 3: RCT: design, application and analysis. By the end of the course participants will:
This course is aimed at Teaching Fellows and Senior Teaching Fellows embarking on scholarship research in the higher education (HE) sector for the first time or who are interested in trialling new methodologies in their research. Non-teaching faculty members interested in doing scholarship research in HE. This workshop is designed by trainers from the field of Economics but will be relevant to other Social Sciences staff with some quantitative background. Participants should have relatively sound knowledge of basic statistics. This will course run from 09:00-18:00 each day. Payment using the Online Store can only be completed via Visa and Mastercard Credit/Debit Card or PayPal. AMEX is not accepted.
Visual and Embodied Methodologies for Social Science - onlineDescriptionThis online course will introduce participants to visual and embodied methodologies (VEM) and how they can be used in social science research. VEM can increase understanding about the social world, enhance participation and collaboration through the arts-based or creative research process, and add meaning and value to the analysis and communication of research data. By learning about VEM participants will learn how these methods can be used to develop original research approaches, work with vulnerable and minoritised groups, and address key social science research challenges. This modular course consists of one core ‘Introduction to VEM’ module followed by a selection of optional modules on specific VEM methods. All participants undertake the core introductory module and can then select optional modules to customise the training according to the VEM methods of interest. The Introduction to VEM module (13th October 2025 09:00 - 11:00) covers:
The ‘pick and mix’ two-hour sessions on particular VEM methods include: 13th October 2025
14th October 2025
15th October 2025
The course is charged as one day for the core module plus up to two modules from the ‘pick and mix’ options above, two days for the core module plus up to five modules and three days for the core module plus up to eight modules. Please book the required number of days and you will be contacted to choose which modules you wish to attend. Numbers will be limited to 12 participants on each module. Learning outcomes
Payment using the Online Store can only be completed via Visa and Mastercard Credit/Debit Card or PayPal. AMEX is not accepted.
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