-
- All Amicus Training courses
- Afternoon Tea with....department overviews of Amicus
- Amicus 1-2-1 Training
- Amicus Learning Week
- Amicus Learning Week - for Colleges
- Amicus New Starters
- Amicus Online Courses
- Amicus Webinar
- Amicus Workshops
- Amicus rollout programme Sept-Oct 2017
- Amicus training for Colleges (non-migrated users)
- CUDAR Learning and Professional Development
- Team Training sessions
-
- All Cambridge Digital Humanities courses
- CDH Basics
- CDH Guided Project
- CDH Methods Fellow Workshop Series
- CDH Methods Workshop
- CDH Reactor
- Digital Humanities Introduction
- Digital Humanities Workshop
- Digital Media in Practice
- Ethics of Big Data
- Machine Reading the Archive
- The Library as Data
- Ways of Machine Seeing
-
Cambridge University Libraries
- All Cambridge University Libraries courses
- Bespoke Courses for Institutions
- Biological Sciences Research Skills
- Biological Sciences Study Skills
- CUL Research Skills
- HASS Research Skills
- Know Moore About (Physical Sciences Research Skills)
- MSt Research Skills Development
- Medicine
- Music
- Orientation
- Research Skills
- STEMM Research Skills
- Special Collections
- Subject Resources
- Theology
- Virtual Study Rooms
-
Cambridge University Library Staff Learning & Development
- All Cambridge University Library Staff Learning & Development courses
- ALMA
- Academic Publishing
- All Staff Briefings
- Apprenticeships
- Business Improvement
- Cataloging
- Change
- Collection Care
- Customer Service
- Digital Preservation
- Digital Preservation
- First Day Welcome
- GDPR for Librarians
- Governance for Library Staff and Managers
- Health and Safety
- Induction and Orientation
- International Image Interoperability Framework (IIIF) Workshops
- Leadership Development
- Libraries in Training : Management
- Managing Finance
- Managing Staff
- Philanthropy
- Project Management
- Reader Services Workshop
- Recruitment and Selection Skills
- Staff Review and Development
- Strategic Priorities Project
- Team Events
- Time Management
-
- All Department of Chemistry courses
- Advanced Organic Chemistry
- Biological Chemistry
- Careers Programme
- Catalysis
- Characterisation Techniques
- Chemistry Staff Programme
- Contemporary Chemistry
- Drug Discovery
- Foundation Skills
- GLS Compulsory Elements
- Hot Topics
- Induction
- Information Systems
- Machine Learning
- Novel Materials and Microdroplets
- RIG Seminars
- ST2 Introduction to Machine Learning & AI
- Safety
- Showcase Week
- Statistics for Chemists
- SynTech CDT
- Undergraduate Library Services
-
- All Department of Engineering courses
- Applications and interviews
- Academic Integrity and Ethics (Technology Libraries Team)
- Collaboration and teamwork
- Creation and communication
- Creative thinking and problem-solving
- Critical assessment
- Designing Conference Posters (Technology Libraries Team)
- Ethical and legal requirements
- Finding What Your Need (Technology Libraries Team)
- Finding funding and opportunities
- Foreign and programming languages
- Information management and ICT
- Leadership and mentoring
- Library
- Library open programme
- MPhil - ESD
- MPhil - Energy Tech and Nuclear Energy
- MPhil - ISMM
- MPhil - MLMI
- Managing Your Data (Technology Libraries Team)
- Managing Your Online Profile (Technology Libraries Team)
- Managing information
- Proactive planning and networking
- Publishing in Journals (Technology Libraries Team)
- RDC A
- RDC B
- RDC C
- RDC D
- RDC E
- RDC F
- Referencing (Technology Libraries Team)
- Research methods and techniques
- Resource discovery
- Self-leadership and resilience
- Teaching and supervision
- Time Smart (Technology Libraries Team)
- Time and project management
- Undergraduate
- Writing and presenting with impact
-
Department of Materials Science and Metallurgy - Health & Safety
-
Development and Alumni Relations - Staff Learning & Development
-
- All Equality & Diversity courses
- Archive Black History Month
- Archive Different Views
- Archive Holocaust Memorial Day Programme
- Archive International Women’s Day Programme
- Archive Other Equality and Diversity Events
- Archive pre ay 2016 - 2017
- E & D Online Training
- Engagement - Athena Swan
- Engagement - Disability
- Engagement - Gender
- Engagement - LGBT
- Engagement - Other
- Engagement - Race
- Implicit/Unconscious Bias Training
- Staff Network Events
- Training - Implicit Bias
- Training - LGBT
- Training - Race Awareness
- Training - Respect at Work
- Wellbeing - FoW
- Wellbeing - MHAW
- Wellbeing - WellCAM
-
Health, Safety and Regulated Facilities
- All Health, Safety and Regulated Facilities courses
- Biological Safety
- Buildings and Construction
- Chemical Safety
- DSE use and assessment
- Face Fit Testing
- Fire Safety
- First Aid
- Health
- Laboratory Safety
- Managing Safety
- Manual Handling
- Online training
- Personal Safety
- Radiation
- Risk Assessment, Policy and Inspection
- Safety Management
- Safety Officers & Administrators
- Toolbox Talks
- Virtual training
- Working at Height
- Workplace
- Workshop Safety
-
Institute of Continuing Education Staff Learning & Development
-
- All JISC Digital Skills courses
- Data Literacy - JISC
- Digital Collaboration - JISC
- Digital Communication - JISC
- Digital Creation - JISC
- Digital Identity Management - JISC
- Digital Innovation - JISC
- Digital Learning - JISC
- Digital Participation - JISC
- Digital Productivity - JISC
- Digital Proficiency - JISC
- Digital Research and Problem Solving - JISC
- Digital Teaching - JISC
- Digital Wellbeing - JISC
- Information Literacy - JISC
- Media Literacy - JISC
-
Office of Scholarly Communication
- All Office of Scholarly Communication courses
- Academic Publishing
- Librarian as Researcher
- Open Access
- Open Data
- Open Research
- Repositories
- Research Communications
- Research Data Management
- Research Funder Policy
- Research Impact
- Research Management
- Research Metrics
- Researcher Online Presence
- Supporting Researchers in the 21st Century
-
PPD Personal and Professional Development
- All PPD Personal and Professional Development courses
- Communication
- Develop Your Career
- Digital Capability (JISC)
- Innovation and New Ways of Working
- Leadership and Management
- Legal and Compliance
- New Staff
- Personal Effectiveness
- Productivity
- Recruitment and Selection
- Valuing Everyone and Dignity at Work
-
- All Technology Libraries courses
- Academic Integrity and Ethics
- Creation and Communication
- Critical Assessment
- EPSRC CDT students
- Engineering RDC
- MPhil - Energy Tech and Nuclear Energy
- MPhil - Engineering for Sustainable Development
- MPhil - ISMM
- Managing information
- Open to All
- Resource discovery
- Undergraduate
-
University Information Services - Digital Literacy Skills
- All University Information Services - Digital Literacy Skills courses
- Accessibility & Assistive Technology
- Artificial Intelligence
- Bespoke Courses for Institutions
- Bibliographic Software
- Bitesize
- Cisco Networking Academy
- Cloud Computing
- Collaboration & Communication
- Data Analysis & Reporting
- Databases
- Design and Desktop Publishing
- Documentation & Wordprocessing
- Google Applications
- Graphics and Photos
- HR Systems
- Hardware
- High Performance Computing
- IT Certification Courses
- Internet of Things
- Introductory IT Courses
- JISC Digital Communication, Collaboration and Participation
- JISC Digital Creation, Problem Solving and Innovation
- JISC Digital Identity and Wellbeing
- JISC Digital Learning and Self Development
- JISC Digital Proficiency
- JISC Information, Media and Data Literacy
- Macintosh System & Use
- Multimedia
- Music
- Networking
- Office 365
- Preparation for Certification
- Presentations
- Programming and Scripting
- Project Management
- Research
- Scientific Computing
- Security
- Spreadsheets
- Statistical and Mathematical Software
- Techlinks & IT Support Staff
- UIS Systems
- University Training Booking System
- Unix (including Linux) Systems & Use
- Version Control
- Videoconferencing
- Web Browsing & Searching
- Web Publishing & Management
- Windows Systems & Use
-
University Information Services - Staff Learning & Development
All Social Sciences Research Methods Programme courses
Showing courses 51-57 of 57
Courses per page: 10 | 25 | 50 | 100
The module aims to provide students with an introduction to semiotics and cultural semantics. It will overview semiotic and cultural sematic approaches to cultural, literary, and social studies. The focus is on key aspects of semiotics and cultural semantics, including their key concepts and usage in research design and objectives. The module will explore the differences between approaches as opposed perspectives on cultural symbolism. While illustrative examples are mainly drawn from cultural, visual, and literary research, the skills acquired through this module are also applicable to other topics and areas in the social sciences.
Outline
The module is structured into two lectures and two workshops, each lasting two hours:
- Lecture 1: Introduction to Semiotics and Cultural Semantics
- Lecture 2: Key Semiotic and Cultural Semantic Concepts and Methods
- Workshop 3: Reconstruction of Cultural Code
- Workshop 4: Social Semiotic in Visual Studies
Contents
Lecture 1 will cover a brief overview of semiotics and cultural semantics, introducing key terms and distinctions between semiotic and semantic approaches to cultural studies. It will address strategies for investigating cultural symbolism and the meaning-making process.
Lecture 2 will delve into widely used concepts in both fields, such as cultural meaning, cultural text, symbol, sign, elementary communication structure and sign structure. This focus is on understanding cultural semiosis, symbolisation, and the meaning-making process. The lecture will explore both approaches in discussing cultural values, meanings, texts, and artifacts.
Workshop 3 will teach students how to reconstruct cultural code as a key structure for understanding cultural symbolisation. It will include the practical examples of reconstructing the cultural code related to single motherhood through literary texts.
Workshop 4 will introduce recent studies in visual grammar, drawing on surveys in children’s picturebooks. This session aims to explore the application of social semiotics in visual studies, emphasizing the analysis of visual elements in cultural symbolism and meaning making.
Social Network Analysis (SNA) is “a distinct research perspective in the behavioural and social sciences” because it elevates relationships as the primary unit of analysis when attempting to understand and explain social phenomena (Wasserman and Faust, 1994, p. 4). This methods module will introduce you to network research tools used to explore the social constructs that surround all of us, continuously facilitating and frustrating our individual ambitions. Each of our three sessions will focus on a primary component of modern SNA: relational data collection, network visualisation, and descriptive network statistics and modelling. We will use real relational datasets from historical network studies. Participants will also be encouraged to develop their own relational data and complete a basic descriptive analysis and network visualisation of their data. This module will make use of web-based tools and open-source options in the R environment. However, no previous training in SNA methods or R will be assumed by the instructor.
This intensive course on structural equation modelling will provide an introduction to SEM using the statistical software Stata. The aim of the course is to introduce structural equation modelling as an analytical framework and to familiarize participants with the applications of the technique in the social sciences.
The application of the structural equation modelling framework to a variety of social science research questions will be illustrated through examples of published papers. The examples used are drawn from recent papers as well as from publications from the early days of the technique; some use path analysis using cross-national data, others confirmatory factor analysis, and other still full structural models, to test particular hypotheses. Some example papers may be found below, though they should not be treated as the gold standard, rather as an illustration of the variety of approaches and reporting techniques within SEM.
- Duff, A., Boyle, E., Dunleavy, K., & Ferguson, J. (2004). The relationship between personality, approach to learning and academic performance. Personality and individual differences, 36(8), 1907-1920.
- Garnier, M., & Hout, M. (1976). Inequality of educational opportunity in France and the United States. Social Science Research, 5(3), 225-246.
- Helm, F., Müller-Kalthoff, H., Mukowski, R., & Möller, J. (2018). Teacher judgment accuracy regarding students' self-concepts: Affected by social and dimensional comparisons?. Learning and Instruction, 55, 1-12.
- Parker, P. D., Jerrim, J., Schoon, I., & Marsh, H. W. (2016). A multination study of socioeconomic inequality in expectations for progression to higher education: The role of between-school tracking and ability stratification. American Educational Research Journal, 53(1), 6-32.
Students will engage in a critique of such examples, with the aim of gaining a better understanding of the SEM framework, as well as its application to real-life data. To further facilitate this application focus, the theoretical introduction will be accompanied by practical examples based on real, publicly-available data.
The module aims to provide students with an introduction to and overview of survey methods and its uses and limitations. It will introduce students both to some of the main theoretical issues involved in survey research (such as survey sampling, non-response and question wording) and to practicalities of the design and analysis of surveys. The module consists of six 1.5 hour sessions, alternating between prerecorded lectures and practical exercises.
This module introduces the time series techniques relevant to forecasting in social science research and computer implementation of the methods. Background in basic statistical theory and regression methods is assumed. Topics covered include time series regression, Vector Error Correction and Vector Autoregressive Models, Time-varying Volatility, and ARCH models. The study of applied work is emphasized in this non-specialist module. Topics include:
- Introduction to Time Series: Time series and cross-sectional data; Components of a time series, Forecasting methods overview; Measuring forecasting accuracy, Choosing a forecasting technique
- Time Series Regression; Modelling linear and nonlinear trend; Detecting autocorrelation; Modelling seasonal variation by using dummy variables
- Stationarity; Unit Root test; Cointegration
- Vector Error Correlation and Vector Autoregressive models; Impulse responses and variance decompositions
- Time-varying volatility and ARCH models; GARCH models
This module introduces drawing as a research method, with a particular focus on the key elements and methodological considerations for using drawing as a visual research method, and the pairing of drawing with qualitative interviews. This module explores examples of using drawing as a research method across disciplines, and students are offered hands-on experience to practice using drawing as a research method through a practical workshop.
Web scraping has great potential as a research tool that can be applied across various fields of research including social science and humanities, and allows us to reach beyond the ‘quantitative and qualitative divide’. The programming and code-reading/analysing skills used in web scraping can enhance our understanding of digital power beyond the traditional limits of computing techniques.
This two-hour training module (plus 1-hour online Q&A session) introduces researchers to how to use Python software for web scraping. You will learn what web scraping means, the principles behind it, and ethical considerations, and importantly how to use Python to achieve web scraping. The module provides a good opportunity to learn how to enhance your coding and code-reading skills, from which you can reflect on how digital power especially web scraping and coding is shaping contemporary research. The training is programming beginner friendly.